In this comprehensive guide, we compare Lindy.ai and Tidio across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.
Overview
When choosing between Lindy.ai and Tidio, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.
Quick Decision Guide
Choose Lindy.ai if: you value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make
Choose Tidio if: you value exceptional ease of use: 4.7/5 g2 rating with 253 'ease of use' and 161 'easy setup' mentions
About Lindy.ai
Lindy.ai is ai-powered personal assistant for workflow automation. No-code AI agent platform positioning as 'AI employees' for workflow automation, NOT developer-focused RAG platform. 5,000+ integrations via Pipedream, Claude Sonnet 4.5 default, $5.1M revenue (Oct 2024), 4.9/5 G2 rating. Critical limitation: No public API or SDKs available. Founded in 2023, headquartered in San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
81/100
Starting Price
Custom
About Tidio
Tidio is no-code customer service automation with claude 3-powered ai chatbots. Customer service automation platform with Claude 3-powered Lyro AI achieving 67-90% resolution rates. Founded 2013 by Tytus Gołąs (Poland), serves 300,000+ businesses including Pizza Hut, Decathlon, Casio. NOT a RAG-as-a-Service platform—optimized for SMB/e-commerce no-code chatbot building with exceptional ease of use (4.7/5 G2, 1,600+ reviews). SOC 2 Type II + GDPR certified. Critical gaps: NO programmatic knowledge API, NO LLM model selection (Claude-only), NO cloud storage integrations. $0-$2,999+/month with per-conversation billing ($0.50/Lyro chat). Founded in 2013, headquartered in San Francisco, CA (offices in Szczecin and Warsaw, Poland), the platform has established itself as a reliable solution in the RAG space.
Overall Rating
87/100
Starting Price
$29/mo
Key Differences at a Glance
In terms of user ratings, Tidio in overall satisfaction. From a cost perspective, Lindy.ai starts at a lower price point. The platforms also differ in their primary focus: AI Assistant versus Customer Support. These differences make each platform better suited for specific use cases and organizational requirements.
⚠️ What This Comparison Covers
We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.
Detailed Feature Comparison
Lindy.ai
Tidio
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Document Formats: PDF, DOCX, XLSX, CSV, TXT, HTML with 20MB per-file size limit
Audio Support: Full audio file support with automatic transcription included in workflow
YouTube Integration: Dedicated action for YouTube transcript extraction and processing
Website Crawling: Single page or full-site crawling with automatic link following capability
Cloud Integrations: Google Drive (including shared drives), OneDrive, Dropbox, Notion, SharePoint, Intercom, Freshdesk with automatic syncing
Automatic Refresh: Knowledge bases refresh every 24 hours automatically with manual 'Resync Knowledge Base' actions for immediate updates
Search Constraint: When search fuzziness drops below 100, searches limited to first 1,500 files - meaningful constraint for large enterprise deployments
Marketing vs Reality: Documentation claims 'no limit to data you can feed' but practical constraints exist around character limits and file counts
Website URL crawling: Primary method scanning up to 500 URLs (expandable on Plus plans) with automatic Q&A pair extraction from web content
PDF uploads: Direct file upload support for PDF documents
CSV imports: Maximum 500 entries per file, 10,000 total Q&A limit across all sources
Manual Q&A creation: Admin panel configuration for custom question-answer pairs
Zendesk Help Center: Article import via API (closest to external knowledge integration available)
Automatic weekly re-sync: Website source updates available only on Plus/Premium plans
Continuous Q&A suggestions: System suggests new pairs from unanswered questions and historical conversations requiring manual review before activation
CRITICAL LIMITATION: No NO Word document (DOCX) support, No NO TXT files, No NO Excel files, No NO YouTube transcript processing, No NO audio/video file support, No NO code file ingestion
CRITICAL LIMITATION: No NO native cloud storage integrations - Google Drive, Dropbox, Notion connect via Zapier for workflows only (NOT as knowledge sources)
CRITICAL LIMITATION: No NO programmatic knowledge upload API - all data ingestion requires UI-based management, blocking automation workflows
Scaling constraint: 10,000 Q&A entry limit caps knowledge base size vs unlimited in RAG platforms
Per-conversation billing: Averaging $0.50 per AI conversation limits cost-effective scaling for high-volume use cases
Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Conservative Marketing: Platform claims '200+ integrations' but actually offers 5,000+ apps via Pipedream Connect partnership
Pre-Built Actions: 2,500+ ready-to-use actions across Pipedream integration ecosystem
Messaging Platforms: Slack (full integration with triggers/actions), WhatsApp (Personal/Business APIs with templates), Microsoft Teams, Telegram, Discord, Twilio SMS
CRM Systems: Salesforce (24 actions, 8 triggers with SOQL/SOSL queries), HubSpot (deep integration for contacts/tickets/deals), Pipedrive, Zoho CRM
Productivity Tools: Notion (16 actions, 7 triggers), Airtable (full CRUD with webhooks), Google Workspace (Gmail, Calendar, Docs, Sheets, Drive complete integration)
Embedding Options: Popup chat widgets, iFrame embeds, unique public links with domain restriction capabilities
Platform Deployment: Specific instructions available for Webflow, WordPress, Squarespace, Wix, Framer implementations
Webhook Support: Inbound webhooks trigger workflows via POST requests with bearer token authentication
HTTP Actions: Call external APIs from within workflows for custom integration needs
Omnichannel unified inbox: Website live chat, email ticketing, Facebook Messenger, Instagram DMs, WhatsApp Business API managed in single dashboard
Zapier integration: Connects to 8,000+ apps, available free on all plans for workflow automation
CRM integrations: Salesforce, HubSpot, Zendesk, Pipedrive for customer data sync
E-commerce platforms: Shopify (deep integration with order management, cart preview, product recommendations), WooCommerce, BigCommerce, Wix
Webhooks: Require Plus subscription ($749/month) for bidirectional data sync via Tray.io with real-time event notifications
Marketing tools: Google Analytics, Mailchimp, ActiveCampaign
CRITICAL GAPS: No NO native Slack integration (Zapier notifications only, not bidirectional chat), No NO Microsoft Teams integration, No NO Telegram native support (requires third-party Zapier/Make tools)
Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app.
Offers ready-made hooks for Slack, Zendesk, Confluence, YouTube, Sharepoint, 100+ more.
Explore API Integrations
Connects with 5,000+ apps via Zapier and webhooks to automate your workflows.
Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases.
Hosted CustomGPT.ai offers hosted MCP Server with support for Claude Web, Claude Desktop, Cursor, ChatGPT, Windsurf, Trae, etc.
Read more here.
Agent Autonomy Focus: Differentiates through autonomous operation rather than traditional chatbot conversation functionality
Multi-Lingual Support: Voice agents (Gaia) support 30+ languages, transcription covers 50+ languages, text agents operate in 85+ languages with automatic detection
Lead Capture Excellence: Real-time qualification, email/phone validation, firmographic enrichment, UTM attribution, automatic CRM syncing - claims up to 70% higher conversion vs traditional forms
Human Handoff: Configurable escalation conditions with phone agents able to transfer calls directly to human team members with full context
Conversation Memory: Tracks conversation history within and across sessions through memory feature, but differs from typical RAG retrieval - context persists through workflow execution vs vector similarity search
Weekly Digests: Automated email summaries of task usage and agent performance
Agent Evals: Dedicated feature for benchmarking agent performance against quality standards and preventing regression
Workflow-Centric: Emphasizes autonomous task execution over conversational interaction - fundamentally different from chatbot platforms
Lyro AI (Claude 3): 79-87% success rates (up from 50-70% pre-Claude 3 upgrade) with strict knowledge base boundaries preventing hallucinations
Lyro Guidance (beta): Tone customization (Neutral/Friendly/Formal), emoji toggles, source link display, custom escalation rules, communication style instructions
Human handoff: Transfer to unassigned queue, keep conversation with rephrasing, or create ticket with email follow-up - preserves full chat history and context
Smart Insights: AI-generated recommendations for improving metrics based on conversation analysis
Live visitor tracking: Real-time monitoring with typing preview and conversation takeover capabilities
45+ language support: Automatic browser-based detection with native multilingual processing (no internal English translation layer)
LIMITATION: No NO anti-hallucination controls beyond knowledge base boundaries - responses cannot be traced to source documents with citations (vs RAG platforms)
LIMITATION: No NO retrieval parameter configuration - users cannot adjust similarity thresholds, implement hybrid search, or configure confidence scoring
Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge
Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain
Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management
Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions
View Agent Documentation
Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows
Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base
Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
Customization & Branding
Widget Customization: Display name (e.g., 'Technical Support Assistant'), accent color for brand alignment, logo/icon upload for expanded/collapsed states
Messaging Customization: Custom greeting and callout messages for initial engagement prompts
Domain Restrictions: Specify allowed deployment domains for access control and security
White-Labeling Uncertainty: Documentation doesn't explicitly confirm complete Lindy branding removal - unclear if available outside enterprise agreements
No Deep CSS Control: Limited to essential branding elements vs full CSS customization or brandless deployments on standard plans
Persona Customization: Agent-level prompts define personality, tone, and expertise areas
Settings Context: Persists across all task runs for consistent agent behavior
Per-Run Context: Allows dynamic customization per execution for adaptive responses
Memory Snippets: Learning capability saves preferences like 'Don't schedule meetings before 11am' across all sessions
RBAC Controls: Admins can lock configurations and set credit allocation limits per user or team
UI customization: Visual live editor with theme presets, color pickers supporting custom hex codes, logo uploads, position controls (left/right), operating hours display automatically showing availability status
Branding control: Light/dark mode built-in theme switching with automatic user preference detection, custom CSS via JavaScript SDK for advanced styling beyond presets
White-labeling: $20/month addon on Growth tier OR included with Plus ($749+/month); not available on Free/Starter plans; custom branded agent avatars and logos require Plus plans minimum
Custom domain: Not explicitly documented in public materials; likely requires Plus or Premium plan with custom deployment infrastructure (specifics require sales engagement)
Design flexibility: Separate mobile widget settings with device-specific hiding options, mobile responsiveness with mobile-specific configuration separate from web widget
Mobile customization: Responsive widget adapts to mobile devices; mobile-specific branding controls inherit desktop configuration; mobile app functionality limitations noted in user reviews
Domain restrictions: Control which websites can embed widget through trusted domains configuration for security
Role-based access: Admin, Moderator, and Agent roles with configurable permissions on Growth+ plans; agent groups for departmental routing enabling organizational structure
Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Anthropic Claude: Sonnet 4.5 (default - 'almost no one overrides' per Anthropic case study), Sonnet 3.7, Haiku 3.5
Google Gemini: Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.0 Flash for varied performance/cost trade-offs
Default Selection Rationale: Claude Sonnet 4.5 excels at 'navigating ambiguity in large context windows' and handling 'deeply nested data structures requiring nuanced reasoning'
Business Impact: Lindy achieved 10x customer growth after implementing Claude as default LLM
Per-Action Granularity: Users manually select models per workflow step through visual builder interface
Credit Impact: Model selection affects credit consumption - larger models (Sonnet 4.5) consume more credits than smaller models (Haiku 3.5)
No Automatic Routing: No dynamic model switching or automatic model selection based on query complexity
Manual Configuration: Each workflow action requires explicit model selection vs intelligent automatic routing
CRITICAL LIMITATION: No Claude 3 LLM ONLY - NO model selection or routing available
Proprietary implementation: Tidio uses Claude 3 combined with proprietary control mechanisms (not publicly documented architecture)
Fixed processing: Cannot switch between GPT-3.5, GPT-4, Gemini, Llama, or custom models based on query complexity or cost optimization
NO BYOLLM: No No bring-your-own-model capabilities for enterprise customization or fine-tuning
Response personalization: Limited to Lyro Guidance instructions (tone, emoji, escalation rules) rather than direct prompt engineering
Competitive gap: Eliminates LLM flexibility entirely vs RAG platforms offering multi-provider model selection (rated 3/10 for model flexibility - major architectural limitation)
Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ).
Automatically balances cost and performance by picking the right model for each request.
Model Selection Details
Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
CRITICAL LIMITATION: Lindy deliberately prioritizes no-code accessibility over developer tooling - most significant gap for RAG platform comparison
NO Public REST API: Cannot manage agents, create workflows, or query knowledge base programmatically
NO GraphQL Endpoint: No alternative API architecture available for data querying
NO Official SDKs: No Python, JavaScript, Ruby, Go, or any other language SDK exists
NO OpenAPI/Swagger: No machine-readable API specification for automated client generation
NO CLI Tools: No command-line interface for automation or scripting
NO Developer Console: No API sandbox or testing environment available
Available Workarounds: Inbound webhooks (external systems trigger workflows via POST with bearer token), HTTP Request actions (call external APIs from workflows), Code Action (run Python/JavaScript in E2B sandboxes ~150ms startup), Callback URLs (bidirectional webhook communication)
Minimal GitHub Presence: github.com/lindy-ai contains only 3 repositories - build caching utility, ML engineer hiring challenge, no public SDKs or integration libraries
Documentation Quality: User-focused Lindy Academy with step-by-step tutorials, but NO API reference, code samples, or technical architecture documentation
Developer Path: For programmatic RAG control, custom retrieval pipelines, or embedding integration - Lindy offers no viable path forward
Three API tiers: Widget SDK (tidioChatAPI - free), OpenAPI REST (Plus $749/month), Webhooks (Plus $749/month)
Widget SDK (free): Controls widget open/close, user identification, event tracking via JavaScript tidioChatAPI interface
OpenAPI (REST): Manages contacts, tickets, conversations, operators with 10-120 requests/minute based on plan (Starter/Growth: 10/min, Plus: 60/min, Premium: 120/min)
Webhooks (Plus+): Real-time event notifications for conversations, tickets, customer satisfaction with 10-second response timeouts
Mobile SDKs: iOS and Android with full Lyro AI support and 15-30 minute implementation time, customizable UI styling within apps
Documentation: developers.tidio.com (beta status) with code snippets and interactive testing but limited depth for advanced use cases
CRITICAL LIMITATION: No NO official SDKs for any programming language (Python, JavaScript, Node.js) - requires direct HTTP calls to REST API
CRITICAL LIMITATION: No NO programmatic knowledge management endpoints - cannot upload documents, manage Q&A pairs, or configure knowledge base via API
CRITICAL LIMITATION: No NO Lyro AI querying API - cannot trigger AI responses or access retrieval endpoints programmatically
CRITICAL LIMITATION: No NO RAG-specific APIs for semantic search, embedding management, chunking configuration, or retrieval parameters
Support gap: Tidio explicitly states 'cannot provide direct assistance with API implementations' - developer support severely limited
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
Hybrid Search: Semantic + keyword search with configurable 'Search Fuzziness' (0-100 scale) - at 100 (pure semantic) no file limit, lower values add keyword matching but limit to 1,500 files
Default Results: 4 search results returned (adjustable up to 10 maximum)
Vector Database: NOT disclosed - no documentation mentions Pinecone, Chroma, Qdrant, or any specific vector store
Embedding Models: Undocumented - no information about which embedding models power semantic search
Hallucination Reduction: Architectural constraints vs retrieval optimization - 'poor man's RLHF' with human confirmation before action execution
Learning Integration: Corrections from feedback embedded in vector storage for future retrieval improvement
Structured Workflows: 'Agents on rails' philosophy constrains LLM behavior through predefined workflow steps
NO Published Benchmarks: No RAG accuracy metrics, retrieval precision/recall scores, or latency measurements available
Black Box Implementation: RAG treated as opaque system - no transparency into vector similarity scores, embedding quality, or retrieval mechanisms
Enterprise Concern: Opacity may concern organizations requiring transparency into AI decision-making for compliance or auditing
Response time: Real-time chat delivery optimized for sub-second messaging; exact latency benchmarks not publicly disclosed but consistently praised for responsiveness in G2 reviews (4.7/5, 1,600+ reviews)
Accuracy metrics: 79-87% Lyro AI success rate after Claude 3 upgrade (up from 50-70% pre-upgrade); customer case studies report 89-90% automation rates for well-configured implementations (Pizza Hut, Decathlon, Casio)
Context retrieval: Q&A extraction from URLs/PDFs/CSVs with automatic knowledge base building; strict knowledge base boundaries prevent hallucinations; no configurable similarity thresholds or hybrid search strategies exposed
Scalability: 300,000+ businesses served globally demonstrating SMB/e-commerce market fit; infrastructure supports high-volume deployments but per-conversation pricing model ($0.50/Lyro chat) constrains cost scaling vs unlimited usage platforms
Reliability: SLA guarantees on Premium tier ($2,999+/month) with 50% resolution guarantee and uptime commitments; platform stability consistently praised in reviews with "reliable" as common theme
Benchmarks: No published performance benchmarks comparing retrieval speed, accuracy, or latency against competitors; Claude 3 upgrade validation through customer case studies (89-90% automation rates)
Quality indicators: G2 rating 4.7/5 (1,600+ reviews, 68% five-star ratings); users praise ease of use, Shopify integration, visual Flow Builder, but note analytics depth limitations and per-conversation pricing at scale
Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching.
Independent tests rate median answer accuracy at 5/5—outpacing many alternatives.
Benchmark Results
Always cites sources so users can verify facts on the spot.
Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Customization & Flexibility
Knowledge Updates: Automatic refresh every 24 hours for all connected cloud sources
Manual Resync: 'Resync Knowledge Base' actions available for immediate updates when needed
Cloud Source Syncing: Google Drive, OneDrive, Dropbox, Notion, SharePoint, Intercom, Freshdesk automatically stay current
Settings Context: Agent-level configuration persists across all task runs for consistent behavior
Per-Run Context: Dynamic customization per execution allows adaptive agent responses
Memory Snippets: Learning preferences saved across sessions (e.g., scheduling constraints, communication style preferences)
Workflow Customization: Visual builder allows business users to modify agent logic without coding
Agent Personality: Configurable tone, expertise areas, and communication style through prompt configuration
No Embedding Control: Cannot customize embedding models, vector similarity thresholds, or retrieval parameters
Limited Developer Flexibility: Black-box RAG implementation prevents optimization of retrieval pipeline or tuning of vector search
N/A
N/A
Pricing & Scalability
Free Plan: $0/month, 400 credits, 1M character knowledge base, basic automations with 100+ integrations
Pro Plan: $49.99/month, 5,000 credits, 20M character knowledge base, phone calls, full integrations, Lindy branding on embed
Business Plans: $199.99-$299.99/month, 20,000-30,000 credits, 50M character knowledge base, custom branding, 30+ languages, unlimited calls
Enterprise Plan: Custom pricing with SSO, SCIM provisioning, dedicated support, custom training
Additional Costs: Phone calls $0.19/minute (GPT-4o), team members $19.99/member/month (Pro/Business), custom automation building $500 one-time, credits $19-$1,199/month (10,000-1,000,000 credits)
Credit Consumption: Varies by model choice and complexity - larger models (Claude Sonnet 4.5) consume more credits than smaller models
Primary User Complaint: Unpredictable costs - credit depletion speed consistently frustrating in reviews, particularly for complex workflows with premium actions
Pricing Transparency Issue: Credit system creates forecasting difficulty vs fixed per-seat or usage-based pricing
Scalability: Character limits constrain large knowledge bases - 50M character cap on Business tier may limit enterprise deployments
Plus: $749/month - Custom billable (2,000+ conversations), up to 5,000 Lyro conversations, API access, webhooks, white-labeling, Customer Success Manager
Premium: $2,999+/month - Unlimited billable conversations, up to 10,000 Lyro conversations, 50% resolution guarantee, SLAs, unlimited operators
Per-conversation billing: Lyro AI costs approximately $0.50 per conversation (1 conversation = 1 customer interaction with AI reply, auto-closes after 15 minutes inactivity)
10-operator cap: Note: All self-serve plans (Free through Plus) limited to 10 operators - unlimited seats require Premium tier ($2,999+/month)
API access locked: Note: OpenAPI and Webhooks require Plus plan minimum ($749/month) - unavailable on Free/Starter/Growth tiers
White-labeling cost: Note: $20/month addon on Growth tier OR included with Plus ($749+/month)
Annual savings: ~20% discount when paying annually vs monthly billing
Cost scaling concern: Per-conversation model at $0.50/Lyro chat escalates costs at high volume vs unlimited usage in RAG platforms
Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans.
Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates.
View Pricing
Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy
SOC 2 Type II: Certified by Johanson Group audit - independently validated security controls
HIPAA Compliant: Business Associate Agreement (BAA) available for healthcare deployments
GDPR Compliant: EU data protection and privacy rights compliance
PIPEDA Compliant: Canadian Personal Information Protection and Electronic Documents Act
CCPA Compliant: California Consumer Privacy Act compliance
No AI Training: Customer data NEVER used for AI model training - explicitly stated in privacy policy
Encryption: AES-256 at rest, TLS 1.2+ in transit for comprehensive data protection
Infrastructure: Google Cloud Platform hosting with multi-zone redundancy for high availability
Backups: Daily encrypted backups with secure key management
Access Controls: RBAC (Role-Based Access Control), MFA (Multi-Factor Authentication), Enterprise SSO via existing identity providers, SCIM provisioning for automated user lifecycle
Audit Logs: Track agent activity, data access, configuration changes - available on Business/Enterprise plans
Data Residency Limitation: US-based only - no explicit EU data residency option documented (enterprise inquiries required for region-specific deployments)
No ISO 27001: Information security management certification not documented
SOC 2 Type II: Achieved October 2025 through A-LIGN audit covering Security, Availability, and Confidentiality trust criteria
GDPR Compliant: May 2018 certification with designated Data Protection Officer and full subject rights support (access, rectification, erasure, portability)
AWS infrastructure: All customer data resides on AWS in EEA member countries for European data sovereignty
Encryption: TLS 1.2+ with 256-bit SSL for transit, AES-256 for data at rest, irreversible password hashing (no plaintext storage)
Two-factor authentication: TOTP-based 2FA available on all plans for account security
Role-based access control: Admin, Moderator, and Agent roles with configurable permissions on Growth+ plans
SSO: Single sign-on on Enterprise plans for centralized identity management
30-day audit logs: Available on Business plan for compliance tracking and security monitoring
AI data privacy: Lyro conversations NOT used for training public AI models - Anthropic's Claude processes in-session only without persistent data storage
LIMITATION: No NO HIPAA certification - SOC 2 Type II + GDPR only (Tidio indicates working toward healthcare compliance but no timeline)
Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private.
Security Certifications
Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Error Tracking: Built-in retry mechanisms with detailed failure monitoring and debugging
Trigger History: Task completion logs track every workflow execution and result
Qualification Metrics: Lead conversion rates and response time tracking for sales/marketing workflows
Completion Rates: Workflow success measurement and handling time analysis
Weekly Digests: Automated email summaries of task usage delivered to administrators
Agent Evals: Benchmarking feature against quality standards with regression prevention
Log Retention: 1 day (Free tier - severely constrains troubleshooting) to 30+ days (Enterprise tier)
Audit Logs: User actions, data access, configuration changes tracked on Business/Enterprise plans
Export Capabilities: Available but SIEM integration specifics require sales confirmation
No RAG-Specific Metrics: Cannot track retrieval precision, recall, embedding quality, or vector similarity scores
Workflow-Centric: Focuses on output quality rather than retrieval precision - notable gap for RAG-specific monitoring vs platforms like LangSmith or Arize
Agent-level performance: Individual response times, handled conversation counts, workload distribution for team optimization
Real-time monitoring: Live visitor lists, typing preview, conversation takeover capabilities for immediate intervention
Lyro-specific analytics: Resolution rates, unanswered questions tracking, knowledge base gap identification for continuous improvement
Smart Insights: AI-generated recommendations for metric improvement based on conversation pattern analysis
Scheduled reports: Daily/weekly/monthly delivery via email with CSV export for custom analysis in external tools
LIMITATION: Note: Analytics depth falls short of enterprise expectations - users report 'helpful but not as detailed as enterprise tools' with limited funnel and flow-level analytics
LIMITATION: No NO AI performance metrics - no retrieval accuracy dashboards, semantic search performance tracking, hallucination rate monitoring (focuses on operational metrics)
Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status.
Lets you export logs and metrics via API to plug into third-party monitoring or BI tools.
Analytics API
Provides detailed insights for troubleshooting and ongoing optimization.
Knowledge base: Self-service articles and video tutorials for common setup and troubleshooting scenarios
User satisfaction: 4.7/5 G2 rating (1,600+ reviews) with support quality consistently praised
LIMITATION: No NO public community forums or user groups for peer support and knowledge sharing
LIMITATION: No NO phone support available on any tier (chat and email only)
Developer support gap: Tidio explicitly states 'cannot provide direct assistance with API implementations' - technical support severely limited for custom integrations
Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast.
Developer Docs
Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs.
Enterprise Solutions
Benefits from an active user community plus integrations through Zapier and GitHub resources.
No- Code Interface & Usability
Exceptional Ease of Use: 4.9/5 G2 rating across 109+ reviews validates user-friendly design
Drag-and-Drop Builder: Visual workflow construction requires zero coding knowledge
Agent Builder ('Vibe Coding'): Create complex agents from natural language prompts in minutes
Setup Speed Advantage: 30 seconds with Lindy vs 15-60 minutes with Zapier/Make for equivalent workflows (user testimonials)
Pre-Built Templates: 100+ templates for sales outreach, meeting management, email triage, customer support, lead qualification, CRM updates
Natural Language Configuration: Describe automations in plain English through Agent Builder vs manual workflow construction
Role-Based Access Controls: Admins lock configurations and set credit allocation limits per user/team
Tradeoff Clarity: Exceptional ease-of-use for business users comes at cost of developer flexibility
No Technical Prerequisite: Operations teams can deploy sophisticated automations without IT department involvement
Developer Limitation: For custom RAG pipelines, retrieval optimization, or programmatic integration - Lindy offers no viable path
Visual builder: Drag-and-drop Flow Builder for conversation automation with NLP intent recognition; no programming knowledge required (253 G2 'Ease of Use' mentions)
Setup complexity: 2-minute JavaScript snippet installation for website embedding; consistently praised in reviews for "easy setup" (161 G2 mentions) and rapid deployment
Learning curve: G2 rating 4.7/5 (1,600+ reviews) with "intuitive" interface for non-technical users; designed for business teams without developer resources vs API-centric platforms
Pre-built templates: 40+ pre-built templates for sales, lead generation, support scenarios reducing time-to-deployment; templates include common conversation flows and automation patterns
No-code workflows: Testing simulator validates flows before publishing with built-in emulation preventing production errors; export/import functionality for sharing flows between accounts or backup configurations
User experience: Lyro knowledge setup through simple URL or file upload with AI extracting Q&A pairs automatically - no technical skills required for configuration; HTTP request support (GET, POST, PATCH, PUT, DELETE) within chatbot automation supporting JSON, Text, GraphQL formats with multiple authentication methods
Competitive advantage: SMBs and non-technical teams deploy chatbots in minutes vs hours/days in API-centric platforms (9.5/10 rated differentiator for ease of use)
Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance.
Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing.
User Experience Review
Uses role-based access so business users and devs can collaborate smoothly.
Autopilot & Computer Use
Unique Capability: AI agents operate cloud-based virtual computers for any website/application interaction
No API Required: Enables automations impossible through traditional integrations - can interact with platforms without published APIs
Computer Vision: Agents 'see' and interact with UIs just like humans - click buttons, fill forms, navigate applications
Workflow Expansion: Breaks beyond 5,000+ integration catalog to access literally any web-based application
Use Cases: Legacy system automation, platforms without APIs, visual task completion, web scraping with context
Market Differentiation: Computer Use capability unique among no-code automation platforms - significant competitive advantage
N/A
N/A
Additional Considerations
Best Use Cases: Operations teams automating repetitive workflows without developer resources - lead qualification, email triage, meeting scheduling, CRM updates, customer support routing excel
Primary Strength: Zero-training deployment with Agent Builder ('vibe coding') creates sophisticated automations in 30 seconds vs 15-60 minutes with Zapier/Make for equivalent workflows
Unique Capabilities: Autopilot (Computer Use) enables automations impossible through traditional integrations - can interact with any web-based application without published APIs through AI-powered browser control
Multi-Agent Societies: Multiple specialized Lindies collaborate on complex tasks through delegation rules - Sales (SDR → AE → CS), Support (Triage → Technical → Escalation), Research with specialized investigators
Credit-Based Pricing Reality: Most common user complaint is unpredictable costs - 'credits consumed quickly and unpredictably' makes budget forecasting difficult vs fixed per-seat or usage-based pricing in competitors
Enterprise Limitations: Character limits (50M cap on Business tier) may constrain large deployments, US-only data residency blocks EU customers with strict localization requirements, no ISO 27001 certification may limit procurement
Developer Friction: Deliberately prioritizes no-code accessibility over developer tooling - NO public REST API, NO SDKs, NO CLI tools, NO programmatic RAG control makes it unsuitable for API-first use cases
Support Inconsistency: User reviews note 'inconsistent responsiveness on lower tiers' and 'writing to support twice with no response' - support quality varies significantly by plan tier
Platform Comparison Warning: Fundamentally different architecture from RAG-as-a-Service platforms - comparing Lindy to CustomGPT is misleading as they serve different product categories (workflow automation vs knowledge retrieval)
Platform Classification: CUSTOMER SERVICE AUTOMATION PLATFORM with AI assistance, NOT a RAG-as-a-Service platform - designed for no-code chatbot building and agent productivity
Target Audience Fit: SMBs and e-commerce businesses needing easy chatbot deployment without developer dependency vs enterprises requiring programmatic RAG control
Primary Strength: Exceptional ease of use (4.7/5 G2, 253 'Ease of Use' mentions) with Visual Flow Builder enabling non-technical teams to deploy chatbots in minutes vs hours/days in API-centric platforms
Claude 3 AI Performance: 79-87% success rates (up from 50-70% pre-Claude 3 upgrade) with customer case studies reporting 89-90% automation for well-configured implementations (Pizza Hut, Decathlon, Casio)
Multilingual Excellence: 45+ languages with native processing (no internal English translation layer) and automatic browser detection reduces accuracy loss vs translation-based competitors
Shopify Integration Depth: Order management, cart preview/recovery, product catalog access directly from chat interface - 60,000+ WordPress installations validate e-commerce market fit
CRITICAL LIMITATION - NOT a RAG Platform: Missing RAG foundations (NO vector database, NO embedding controls, NO LLM model selection, NO anti-hallucination mechanisms, NO retrieval configuration APIs)
CRITICAL LIMITATION - Knowledge Source Gap: Limited to URLs, PDFs, CSVs with 10,000 Q&A entry limit vs unlimited documents and 1,400+ formats in RAG platforms
CRITICAL LIMITATION - Fixed Claude 3 Model: NO model selection, routing, or BYOLLM capabilities - eliminates LLM flexibility entirely (rated 3/10 for model flexibility)
API Limitations: OpenAPI and Webhooks require Plus plan minimum ($749/month) - unavailable on Free/Starter/Growth tiers limiting integration options
Cost Scaling Concern: Per-conversation model at $0.50/Lyro chat escalates quickly at high volume (1,000 AI conversations = $500/month) vs unlimited usage platforms
10-Operator Cap: All self-serve plans limited to 10 operators until Premium tier ($2,999+/month) restricting team scalability for growing businesses
Use Case Mismatch: Excellent for SMB customer service automation and e-commerce support; inappropriate for enterprise-scale document retrieval requiring accuracy controls
Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
Gets you to value quickly: launch a functional AI assistant in minutes.
Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Core Chatbot Features
Chatbot vs Agent Philosophy: Lindy differentiates through autonomous agent operation rather than traditional chatbot conversation - emphasizes task execution over conversational interaction
Multi-Lingual Voice Agents (Gaia): 30+ language support for voice agents, transcription covers 50+ languages, text agents operate in 85+ languages with automatic detection - no manual language configuration required
Lead Capture Excellence: Real-time qualification with email/phone validation, firmographic enrichment, UTM attribution tracking, automatic CRM syncing - claims up to 70% higher conversion vs traditional forms
Human Handoff Logic: Configurable escalation conditions with phone agents able to transfer calls directly to human team members with full conversation context and history preservation
Conversation Memory System: Tracks conversation history within and across sessions through memory feature - context persists through workflow execution vs vector similarity search in traditional RAG systems
Analytics & Performance Tracking: Qualification rates, response times, completion rates, handling times monitored comprehensively with weekly automated email summaries of task usage and agent performance
Agent Evals Feature: Dedicated benchmarking system for measuring agent performance against quality standards and preventing regression over time with automated quality monitoring
Workflow-Centric Design: Emphasizes autonomous task execution over conversational chatbot patterns - structured workflows with 'agents on rails' philosophy constraining LLM behavior through predefined steps
Hallucination Prevention: Architectural constraints vs retrieval optimization - 'poor man's RLHF' with human confirmation before action execution prevents costly mistakes
Learning Integration: Corrections from user feedback embedded in vector storage for future retrieval improvement - system learns from mistakes through Memory Snippets saving preferences like scheduling constraints
Lyro AI (Claude 3): 79-87% success rates (up from 50-70% pre-Claude 3 upgrade) with strict knowledge base boundaries preventing hallucinations beyond provided sources
Lyro Guidance (beta): Tone customization (Neutral/Friendly/Formal), emoji toggles, source link display, custom escalation rules, communication style instructions for brand voice consistency
Human Handoff Logic: Transfer to unassigned queue, keep conversation with rephrasing, or create ticket with email follow-up - preserves full chat history and context for seamless transitions
Smart Insights: AI-generated recommendations for improving metrics based on conversation pattern analysis - identifies optimization opportunities automatically
Live Visitor Tracking: Real-time monitoring with typing preview and conversation takeover capabilities for immediate human intervention when needed
45+ Language Support: Automatic browser-based detection with native multilingual processing (no internal English translation layer reduces accuracy loss)
Visual Flow Builder: Drag-and-drop interface for conversation flows with intent detection nodes, entity extraction, event triggers, variable management, memory retention
NO Anti-Hallucination Controls: Responses cannot be traced to source documents with citations - no citation attribution, source verification, or granular confidence scoring vs RAG platforms
NO Retrieval Parameter Configuration: Users cannot adjust similarity thresholds, implement hybrid search, configure confidence scoring, or tune retrieval mechanisms
Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
Handles multi-turn, context-aware chats with persistent history and solid conversation management.
Speaks 90+ languages, making global rollouts straightforward.
Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Behavior Customization Layers: Settings Context (agent-level configuration persisting across all task runs), Per-Run Context (dynamic customization per execution for adaptive responses), Memory Snippets (learning preferences saved across sessions)
Workflow Flexibility: Visual builder allows business users to modify agent logic without coding - drag-and-drop interface for conversation flows, conditional logic, API integrations, data transformations
Agent Personality Configuration: Configurable tone, expertise areas, communication style through prompt configuration - define professional vs casual voice, technical depth, response verbosity
Knowledge Base Management: Automatic refresh every 24 hours for all connected cloud sources (Google Drive, OneDrive, Dropbox, Notion, SharePoint, Intercom, Freshdesk) with manual 'Resync Knowledge Base' actions for immediate updates
Search Fuzziness Controls: Configurable slider (0-100 scale) balancing semantic vs keyword search - at 100 (pure semantic) no file limit, lower values add keyword matching but constrain to 1,500 files
Retrieval Configuration: Default 4 search results returned (adjustable up to 10 maximum) with hybrid search combining semantic similarity and keyword matching for precision
RBAC Controls: Admins can lock configurations and set credit allocation limits per user or team - prevents unauthorized changes and controls spending across organization
CRITICAL LIMITATION - No Embedding Control: Cannot customize embedding models, vector similarity thresholds, or retrieval parameters - black-box RAG implementation prevents optimization of retrieval pipeline
Developer Flexibility Gap: No programmatic access to knowledge base management, no API for document upload or retrieval configuration, no ability to tune vector search parameters or chunking strategies
Knowledge Base Building: URL crawling (500 URLs expandable on Plus), PDF uploads, CSV imports (max 500 entries/file, 10,000 total Q&A limit), manual Q&A creation, Zendesk Help Center article import
Automatic Weekly Re-Sync: Website source updates available on Plus/Premium plans ensuring knowledge stays current without manual refresh
Continuous Q&A Suggestions: System suggests new pairs from unanswered questions and historical conversations requiring manual review before activation
Behavior Customization: Lyro Guidance enables tone (Neutral/Friendly/Formal), emoji toggles, escalation rules, communication style instructions without coding requirements
Visual Flow Builder: No-code workflow creation with real-time testing simulator, one-click deployment, automatic versioning with rollback capabilities for rapid iteration
HTTP Request Support: GET, POST, PATCH, PUT, DELETE within chatbot automation supporting JSON, Text, GraphQL formats with multiple authentication methods
40+ Pre-Built Templates: Sales, lead generation, support scenarios reduce time-to-deployment with industry-specific conversation flows
Widget Customization: Visual live editor with theme presets, color pickers (custom hex), logo uploads, position controls (left/right), operating hours display
CRITICAL LIMITATION - Opaque Q&A Extraction: Knowledge processing methodology not publicly documented - no transparency into chunking strategies, embedding models, or retrieval mechanisms
CRITICAL LIMITATION - NO Programmatic Knowledge API: Cannot upload documents, manage Q&A pairs, or configure knowledge base via API - all data ingestion requires UI-based management
CRITICAL LIMITATION - 10,000 Q&A Entry Limit: Hard cap on knowledge base size vs unlimited in RAG platforms constrains large-scale deployments
Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current.
Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus.
Learn How to Update Sources
Supports multiple agents per account, so different teams can have their own bots.
Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Multi- Agent Collaboration
Societies of Lindies: Multiple specialized agents collaborate on complex tasks through delegation rules
Agent Specialization: Each Lindy can have unique expertise, knowledge base access, and capabilities
Delegation Rules: Define when and how agents hand off tasks to specialized team members
Workflow Orchestration: Coordinate multi-step processes across different agent specializations
Context Preservation: Full conversation and task history passed between collaborating agents
Use Cases: Sales (SDR → Account Executive → Customer Success), Support (Triage → Technical → Escalation), Complex research with specialized investigators
Learning Across Agents: Feedback and corrections shared across agent society for collective improvement
Sophisticated Workflows: Enable enterprise-grade automation previously requiring human coordination
Agent Builder Integration: Natural language creation of multi-agent systems vs manual workflow mapping
N/A
N/A
Lead Capture & Conversion
Real-Time Qualification: AI evaluates lead quality during initial conversation vs post-submission scoring
Email/Phone Validation: Automatic verification prevents fake submissions and improves data quality
Firmographic Enrichment: Company data appended to leads automatically (size, industry, revenue, etc.)
UTM Attribution: Marketing source tracking preserved through entire lead journey
Automatic CRM Syncing: Qualified leads flow directly to Salesforce, HubSpot, Pipedrive, Zoho without manual data entry
Conversion Claims: Up to 70% higher conversion vs traditional forms (vendor claim - not independently validated)
Conversational Forms: Natural dialogue collection vs static form fields improves completion rates
Routing Logic: Automatically assign leads to appropriate sales reps based on territory, product interest, company size
Follow-Up Automation: Trigger email sequences, meeting scheduling, nurture campaigns based on qualification results
N/A
N/A
R A G-as-a- Service Assessment
Platform Type: NOT A RAG-AS-A-SERVICE PLATFORM - No-code AI agent/workflow automation platform targeting business users vs developers
Critical Distinction: Lindy prioritizes business user accessibility over programmatic RAG control - fundamentally different design philosophy
RAG Implementation: Black-box hybrid search (semantic + keyword) with configurable fuzziness but no exposed retrieval controls
Vector Database: Undisclosed - no documentation of Pinecone, Chroma, Qdrant, or specific vector store
Embedding Models: Undocumented - no information about which models power semantic search
API Availability: NO public REST API, GraphQL endpoint, or official SDKs for programmatic access
Developer Tools: NO OpenAPI spec, CLI tools, developer console, API sandbox, or technical documentation
Benchmarks: No published RAG accuracy, latency, or performance metrics available
Target Audience: Operations teams automating workflows vs developers building custom RAG applications
Use Case Mismatch: Comparing Lindy to CustomGPT.ai is architecturally misleading - fundamentally different product categories serving different user personas
Platform classification: CUSTOMER SERVICE AUTOMATION PLATFORM with AI assistance, NOT a RAG-as-a-Service platform
Architecture philosophy: Designed for no-code chatbot building and agent productivity enhancement, not autonomous knowledge retrieval
Target audience: SMBs and e-commerce businesses needing easy chatbot deployment vs developers requiring programmatic RAG control
Missing RAG foundations: NO vector database, NO embedding controls, NO LLM model selection, NO anti-hallucination mechanisms, NO retrieval configuration APIs
Knowledge source gap: Limited to URLs, PDFs, CSVs (max 10,000 Q&A entries) vs 1,400+ formats and unlimited scaling in RAG platforms
API focus: Chat operations (contacts, tickets, conversations) vs RAG operations (semantic search, retrieval, embeddings, chunking)
Use case fit: Excellent for SMB customer service automation and e-commerce support, inappropriate for enterprise-scale document retrieval requiring accuracy controls
Competitive positioning: Different category from CustomGPT - customer service automation vs RAG-as-a-Service (rated 2/10 as RAG platform - fundamentally different architecture)
Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints
API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat
API Documentation
Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration
No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code
Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform)
RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses
Benchmark Details
Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT
Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges
Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch
Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Competitive Positioning
Primary Advantage: Exceptional no-code usability (4.9/5 G2) with 5,000+ integrations via Pipedream and Autopilot (Computer Use) unique capabilities
Claude Sonnet 4.5 Default: Best-in-class language understanding driving 10x customer growth - 'almost no one overrides' per Anthropic
Multi-Agent Sophistication: Societies of Lindies enable complex task delegation impossible with single-bot platforms
Strong Compliance: SOC 2 Type II, HIPAA with BAA, GDPR, PIPEDA, CCPA enables regulated industry adoption
Financial Validation: $5.1M revenue (Oct 2024), $50M+ funding from Menlo Ventures, Battery Ventures, Coatue validates market fit
Setup Speed: 30 seconds vs 15-60 minutes with Zapier/Make - dramatic productivity advantage for business users
Primary Challenge: NOT a developer-focused RAG platform - no API, no SDKs, opaque RAG implementation blocks technical evaluation
Pricing Unpredictability: Credit-based model most common user complaint - costs difficult to forecast vs fixed tiers
Data Residency Limitation: US-only hosting blocks EU customers with strict data localization requirements
Market Position: Competes with Zapier, Make, n8n for workflow automation budget vs RAG API platforms (CustomGPT.ai, Pinecone Assistant)
Use Case Fit: Exceptional for business users automating workflows without developers; poor fit for developers requiring programmatic RAG capabilities
Comparison Warning: Direct feature comparison with RAG-as-a-Service platforms is misleading - different product categories, target audiences, and value propositions
vs CustomGPT: Tidio excels in no-code ease of use and e-commerce integration; CustomGPT excels in RAG architecture and programmatic control
vs Intercom/LiveChat/Zendesk: Tidio competes in customer service automation with comparable features, lower pricing, stronger Shopify integration
vs Drift: Both focus on conversational automation - Tidio emphasizes SMB/e-commerce support, Drift emphasizes enterprise sales teams
vs RAG platforms (Vectara, Pinecone Assistant, Ragie): Fundamentally different architecture - Tidio not designed for autonomous retrieval, lacks RAG infrastructure
Market niche: No-code customer service automation for SMBs and e-commerce with exceptional ease of use (4.7/5 G2), NOT a RAG alternative for knowledge retrieval
Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment
Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts)
Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain
Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges
Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform
Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
A I Models
Default Model - Claude Sonnet 4.5: Primary LLM 'almost no one overrides' according to Anthropic case study - excels at navigating ambiguity in large context windows
Anthropic Claude Family: Sonnet 4.5 (default, best performance), Sonnet 3.7 (balanced), Haiku 3.5 (fast, cost-effective) with 200K token context windows
Claude Sonnet 4.5 Rationale: Selected for 'navigating ambiguity in large context windows' and handling 'deeply nested data structures requiring nuanced reasoning'
Business Impact: Lindy achieved 10x customer growth after implementing Claude as default LLM - significant competitive advantage
Model Switching: Each workflow action requires explicit model selection - no automatic routing based on query complexity or cost optimization
No Dynamic Model Routing: Cannot intelligently switch between models based on task requirements - manual configuration only vs AI-powered model selection
Limited Model Experimentation: No A/B testing capabilities or automatic model performance comparison across different LLMs
Fixed Claude 3 implementation: Lyro AI exclusively powered by Anthropic's Claude 3 with proprietary control mechanisms - no model selection available
Model selection rationale: Claude chosen for being "developed with the goal of becoming helpful, honest, and harmless" - explicit decision prioritizing safety over GPT alternatives
Success rate improvement: 79-87% automation rate after Claude 3 upgrade (up from 50-70% with pre-Claude 3 models) demonstrating significant performance gains
Customer automation rates: Case studies report 89-90% automation for well-configured implementations (Pizza Hut, Decathlon, Casio validation)
CRITICAL LIMITATION: NO model switching: Cannot switch between GPT-3.5, GPT-4, Gemini, Llama, or custom models based on query complexity or cost optimization needs
CRITICAL LIMITATION: NO BYOLLM: No bring-your-own-model capabilities for enterprise customization or fine-tuning on proprietary data
CRITICAL LIMITATION: NO automatic routing: No intelligent model routing, fallback strategies, or load balancing across different LLM providers
Response personalization limits: Customization restricted to Lyro Guidance instructions (tone, emoji, escalation rules) rather than direct prompt engineering or system prompts
Competitive gap: Eliminates LLM flexibility entirely vs RAG platforms offering multi-provider model selection (rated 3/10 for model flexibility - major architectural limitation)
Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs
Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request
Model Selection Details
Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers
Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users
Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
Search Fuzziness: 100 = pure semantic search (no file limit), lower values add keyword matching but limit to first 1,500 files - trade-off between precision and scale
Default Retrieval: 4 search results returned per query (adjustable up to 10 maximum) for context-aware responses
Document Processing: PDF, DOCX, XLSX, CSV, TXT, HTML with 20MB per-file size limit and automatic text extraction
Audio & Video: Full audio file support with automatic transcription, YouTube transcript extraction via dedicated action
Website Crawling: Single page or full-site crawling with automatic link following and sitemap discovery
Cloud Integration: Google Drive (shared drives), OneDrive, Dropbox, Notion, SharePoint, Intercom, Freshdesk with automatic 24-hour sync
Manual Refresh: 'Resync Knowledge Base' actions for immediate updates when 24-hour sync insufficient
Vector Database: NOT disclosed - no documentation mentions Pinecone, Chroma, Qdrant, or proprietary implementation
Embedding Models: Undocumented - no information about which embedding models power semantic search or customization options
Chunking Strategy: Not configurable - automatic text segmentation with undisclosed chunk size and overlap parameters
Hallucination Reduction: 'Agents on rails' philosophy constrains LLM behavior through predefined workflow steps - architectural constraints vs retrieval optimization
Learning Integration: Human feedback corrections embedded in vector storage for future retrieval improvement
CRITICAL LIMITATION - Black Box Implementation: RAG treated as opaque system - no transparency into vector similarity scores, embedding quality, retrieval mechanisms
CRITICAL LIMITATION - No Published Benchmarks: No RAG accuracy metrics, retrieval precision/recall scores, or latency measurements available
CRITICAL LIMITATION - No Developer Control: Cannot customize embedding models, similarity thresholds, reranking, or retrieval parameters
Enterprise Concern: Opacity may concern organizations requiring transparency into AI decision-making for compliance auditing or regulatory requirements
CRITICAL ARCHITECTURAL GAP: NOT a RAG-as-a-Service platform: Lacks vector databases, embedding controls, and configurable retrieval pipelines found in true RAG systems
Q&A extraction system: Automatic Q&A pair generation from URLs/PDFs/CSVs through opaque internal processing - methodology not publicly documented
Knowledge base boundaries: Strict knowledge base boundaries prevent hallucinations - Lyro answers only from provided sources and automatically escalates when uncertain
NO chunking parameters exposed: Chunk size, overlap strategy, and chunking methodology not accessible for optimization or tuning
NO embedding model selection: Cannot choose between OpenAI, Cohere, custom embedding models, or configure embedding dimensions
NO similarity threshold controls: Cannot configure cosine similarity thresholds, retrieval scoring, confidence levels, or top-k results
NO hybrid search: No combination of keyword (BM25) and semantic search strategies or configurable weighting between approaches
NO anti-hallucination mechanisms: No citation attribution, source verification, or granular confidence scoring - responses cannot be traced to specific source documents
NO retrieval APIs: No programmatic access to semantic search, embedding management, or retrieval endpoints - knowledge management UI-only
Competitive positioning: Customer service automation platform with AI assistance, NOT autonomous knowledge retrieval system - fundamentally different architecture from RAG platforms (rated 2/10 as RAG platform)
Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks
RAG Performance
Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content
Benchmark Details
Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification
Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times
Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words
Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management
Source verification: Always cites sources so users can verify facts on the spot
Use Cases
Primary Use Case: No-code workflow automation for operations teams, sales teams, marketing teams requiring AI-powered task execution without developers
Sales Automation: Lead qualification with real-time scoring, email/phone validation, firmographic enrichment, CRM syncing (Salesforce, HubSpot, Pipedrive)
Customer Support: Email triage, ticket routing, FAQ responses, escalation workflows with human handoff and context transfer
Healthcare: Patient appointment scheduling, medical record processing (HIPAA-compliant), insurance verification, billing automation
Legal: Document review, contract analysis, case research, deadline tracking with confidentiality controls
Voice Agents (Gaia): Phone call automation with 30+ language support, call transcription in 50+ languages, call transfer to humans
Team Sizes: Individual contributors to enterprise teams (1-500+ users) - scales from solopreneurs to Fortune 500 companies
Industries: Technology, professional services, healthcare, legal, financial services, e-commerce, real estate - any industry with repetitive workflows
Implementation Speed: 30 seconds with Agent Builder ('vibe coding') vs 15-60 minutes with Zapier/Make - fastest setup in automation category
NOT Ideal For: Developers needing programmatic RAG APIs, custom retrieval pipeline tuning, embedding model experimentation, transparent RAG implementation details, organizations requiring EU data residency
SMB customer service automation: Perfect for small-to-medium businesses needing easy chatbot deployment for basic support queries (4.7/5 G2 rating, 1,600+ reviews)
E-commerce support: Deep Shopify/WooCommerce integration for order management, cart recovery, and product recommendations - 60,000+ WordPress installations demonstrate e-commerce fit
Multi-channel support: Unified inbox for website live chat, Facebook Messenger, Instagram DMs, WhatsApp Business API, email ticketing (omnichannel deployment)
No-code chatbot building: Visual Flow Builder with 40+ templates enables non-technical teams to deploy chatbots in minutes without developer resources
Lead generation and qualification: Capture visitor information, qualify leads through conversation flows, sync to CRM platforms (Salesforce, HubSpot, Pipedrive)
NOT ideal for: Enterprise-scale document retrieval requiring accuracy controls, RAG applications needing semantic search and embedding configuration, or knowledge-intensive use cases requiring citation validation
NOT ideal for: Organizations requiring programmatic knowledge management APIs, LLM model flexibility (GPT-4/Gemini switching), or advanced RAG features (hybrid search, reranking, query expansion)
NOT ideal for: High-volume automation (per-conversation pricing at $0.50/chat escalates costs vs unlimited usage platforms), teams needing more than 10 operators (Premium tier required at $2,999+/month)
Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations
Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats
Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps
Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing
Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts)
Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data)
E-commerce: Product recommendations, order assistance, customer inquiries with API integration to 5,000+ apps via Zapier
SaaS onboarding: User guides, feature explanations, troubleshooting with multi-agent support for different teams
Security & Compliance
SOC 2 Type II Certified: Independently audited by Johanson Group validating security controls for data protection, availability, processing integrity
HIPAA Compliant: Business Associate Agreement (BAA) available for healthcare organizations handling Protected Health Information (PHI)
GDPR Compliant: EU General Data Protection Regulation compliance with data processing agreements, right to deletion, consent management
PIPEDA Compliant: Canadian Personal Information Protection and Electronic Documents Act for Canadian customer data
CCPA Compliant: California Consumer Privacy Act compliance for California residents with data access/deletion rights
No AI Training on Customer Data: Explicitly stated in privacy policy - customer data NEVER used for AI model training or improvement
Encryption Standards: AES-256 at rest, TLS 1.2+ in transit for comprehensive data protection across all storage and transmission
Infrastructure: Google Cloud Platform hosting with multi-zone redundancy for 99.9%+ uptime and disaster recovery
Daily Backups: Encrypted backups with secure key management and point-in-time recovery capabilities
Access Controls: RBAC (Role-Based Access Control), MFA (Multi-Factor Authentication), audit logs tracking agent activity and data access
Enterprise SSO: Single Sign-On via existing identity providers (Okta, Azure AD, Google Workspace) for centralized authentication
SCIM Provisioning: Automated user lifecycle management with automatic provisioning/deprovisioning for enterprise security
Admin Controls: Lock configurations, set credit allocation limits per user/team, monitor usage for cost control and security
Audit Logs: Track agent activity, data access, configuration changes on Business/Enterprise plans for compliance and security monitoring
Log Retention: 1 day (Free - severely limits troubleshooting), 7-30 days (Pro/Business), 30+ days (Enterprise with custom retention)
LIMITATION - No ISO 27001: Information Security Management System certification not documented - may limit enterprise procurement
LIMITATION - US Data Residency Only: No explicit EU data residency option documented - enterprise inquiries required for region-specific deployments
LIMITATION - Free Tier Log Retention: 1 day severely constrains security incident investigation and compliance auditing vs 30+ day industry standard
SOC 2 Type II certified: Achieved October 2025 through A-LIGN audit covering Security, Availability, and Confidentiality trust criteria - demonstrates enterprise-grade security controls
GDPR Compliant: May 2018 certification with designated Data Protection Officer and full subject rights support (access, rectification, erasure, portability, restriction)
AWS infrastructure: All customer data resides on AWS in EEA member countries for European data sovereignty and GDPR compliance
Encryption standards: TLS 1.2+ with 256-bit SSL for data in transit, AES-256 for data at rest, irreversible password hashing (no plaintext storage)
Two-factor authentication: TOTP-based 2FA available on all plans for account security hardening
Role-based access control: Admin, Moderator, and Agent roles with configurable permissions on Growth+ plans; agent groups for departmental routing
SSO: Single sign-on available on Enterprise plans for centralized identity management and authentication
30-day audit logs: Available on Business plan for compliance tracking, security monitoring, and incident investigation
AI data privacy: Lyro conversations NOT used for training public AI models - Anthropic's Claude processes in-session only without persistent data storage or model training
LIMITATION: NO HIPAA certification: SOC 2 Type II + GDPR only - Tidio indicates working toward healthcare compliance but no timeline or BAA availability
LIMITATION: Limited compliance scope: No ISO 27001, PCI DSS Level 1, or FedRAMP certifications limiting adoption in regulated industries beyond basic GDPR
Encryption: SSL/TLS for data in transit, 256-bit AES encryption for data at rest
SOC 2 Type II certification: Industry-leading security standards with regular third-party audits
Security Certifications
GDPR compliance: Full compliance with European data protection regulations, ensuring data privacy and user rights
Access controls: Role-based access control (RBAC), two-factor authentication (2FA), SSO integration for enterprise security
Data isolation: Customer data stays isolated and private - platform never trains on user data
Domain allowlisting: Ensures chatbot appears only on approved sites for security and brand protection
Secure deployments: ChatGPT Plugin support for private use cases with controlled access
Pricing & Plans
Free Plan - $0/month: 400 credits, 1M character knowledge base, 100+ integrations, basic automations, 1-day log retention for evaluation
Pro Plan - $49.99/month: 5,000 credits, 20M character knowledge base, phone calls, full integrations, Lindy branding on embed, 7-day logs
Business Plan - $199.99-$299.99/month: 20,000-30,000 credits, 50M character knowledge base, custom branding, 30+ languages, unlimited calls, 30-day logs
Enterprise Plan - Custom Pricing: Unlimited credits/users, custom knowledge base limits, SSO, SCIM provisioning, dedicated support, custom SLAs, custom training
Additional Team Members: $19.99/member/month on Pro/Business plans for expanding user access and collaboration
Phone Calls: $0.19/minute using GPT-4o for voice interactions - additional cost on top of plan credits
Custom Automation Building: $500 one-time fee for professional automation development by Lindy team
Credit Add-Ons: $19-$1,199/month for 10,000-1,000,000 credits for high-volume usage beyond plan limits
Credit Consumption Variability: Varies by model choice (Claude Sonnet 4.5 vs Haiku 3.5), workflow complexity, premium actions - unpredictable costs
Billing Cycle: Monthly subscription with automatic renewal, credit rollover not documented (likely use-it-or-lose-it monthly)
Payment Methods: Credit card, Enterprise invoicing with wire transfer options for annual contracts
Comparison: vs Zapier ($19.99-$69/month), Make ($9-$29/month), n8n (self-hosted free) - Lindy premium pricing justified by AI capabilities
PRIMARY USER COMPLAINT - Unpredictable Costs: Credit depletion speed consistently frustrating in reviews - 'credits consumed quickly and unpredictably'
CRITICAL LIMITATION - Pricing Transparency: Credit system creates forecasting difficulty vs fixed per-seat or usage-based pricing - budget planning challenging
LIMITATION - Character Limits: 50M character cap on Business tier may limit large enterprise deployments vs unlimited competitors
Growth: $59-$349/month - 250-2,000 billable conversations, Lyro separate addon, advanced analytics, Shopify actions, 10 operators, agent groups
Plus: $749/month - Custom billable (2,000+ conversations), up to 5,000 Lyro conversations, API access, webhooks, white-labeling, Customer Success Manager, 10 operators
Premium: $2,999+/month - Unlimited billable conversations, up to 10,000 Lyro conversations, 50% resolution guarantee, SLAs, unlimited operators, dedicated support
Lyro AI pricing: Approximately $0.50 per conversation (1 conversation = 1 customer interaction with AI reply, auto-closes after 15 minutes inactivity) - separate addon on Growth tier
10-operator cap NOTE: All self-serve plans (Free through Plus) limited to 10 operators - unlimited seats require Premium tier ($2,999+/month) blocking team scalability
API access locked: OpenAPI REST endpoints and Webhooks require Plus plan minimum ($749/month) - unavailable on Free/Starter/Growth tiers limiting integration options
White-labeling cost: $20/month addon on Growth tier OR included with Plus ($749+/month) - not available on Free/Starter plans
Annual savings: Approximately 20% discount when paying annually vs monthly billing across all tiers
Cost scaling concern: Per-conversation model at $0.50/Lyro chat escalates costs significantly at high volume vs unlimited usage in RAG platforms - $500/month for 1,000 AI conversations
Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security
View Pricing
Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization
Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs
Enterprise Solutions
7-Day Free Trial: Full access to Standard features without charges - available to all users
Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium)
Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans)
Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
Email Support: support@lindy.ai (general), security@lindy.ai (security issues), privacy@lindy.ai (privacy concerns) with tier-based response times
Slack Community: Peer support network for knowledge sharing among Lindy users and automation best practices
Community Forum: community.lindy.ai for discussions, troubleshooting, feature requests with active user participation
Documentation: Lindy Academy with step-by-step tutorials for business users, video walkthroughs, use case examples
Onboarding: Self-service for Free/Pro, guided onboarding for Business, white-glove implementation for Enterprise with custom training
User-Focused Resources: Strong for business user adoption with non-technical language, visual guides, practical examples
CRITICAL GAP - No Developer Documentation: No API reference, code samples, technical architecture documentation, OpenAPI specs
CRITICAL GAP - No Phone Support: Email and community only for Free/Pro/Business tiers - phone access restricted to Enterprise only
LIMITATION - Support Quality Inconsistency: User reviews note 'inconsistent responsiveness on lower tiers' - common Trustpilot criticism
LIMITATION - Slow Response Times: Some users report 'writing to support twice with no response' - support quality concerns for non-enterprise customers
Live chat support: Available on all plans with tier-based response times (24/7 on Plus/Premium vs business hours on lower tiers)
Email support: All plans with priority levels based on subscription tier - fastest response on Premium
Customer Success Manager: Dedicated CSM on Plus ($749/month) for onboarding guidance, optimization strategy, and ongoing consultation
SLA guarantees: Premium tier ($2,999+/month) with 50% resolution guarantee and uptime commitments for mission-critical deployments
Knowledge base: Self-service articles and video tutorials for common setup scenarios, troubleshooting guides, and feature configuration
User satisfaction: 4.7/5 G2 rating (1,600+ reviews) with support quality consistently praised; 68% five-star ratings demonstrate high satisfaction
LIMITATION: NO public community forums: No user community, Slack workspace, or Discord server for peer support and knowledge sharing among users
LIMITATION: NO phone support: No phone support available on any tier (chat and email only) limiting support options for urgent issues
Developer support gap: Tidio explicitly states 'cannot provide direct assistance with API implementations' - technical support severely limited for custom integrations requiring code
Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding
Developer Docs
Email and in-app support: Quick support via email and in-app chat for all users
Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs
Code samples: Cookbooks, step-by-step guides, and examples for every skill level
API Documentation
Active community: User community plus 5,000+ app integrations through Zapier ecosystem
Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Limitations & Considerations
NO Public REST API: Cannot manage agents, create workflows, or query knowledge base programmatically - blocks developer integration
NO Official SDKs: No Python, JavaScript, Ruby, Go, or any language SDK for programmatic access - workflow automation only
NO CLI Tools: No command-line interface for automation or scripting - dashboard-only management
NO Developer Console: No API sandbox, testing environment, or technical documentation for developers
Black Box RAG Implementation: Vector database, embedding models, similarity thresholds completely undisclosed - no transparency
No RAG Benchmarks: No published accuracy metrics, retrieval precision/recall, or latency measurements for evaluation
Search Fuzziness Constraint: Lower fuzziness values limit searches to first 1,500 files - meaningful limitation for large deployments
Character Storage Limits: 50M character maximum on Business tier - may constrain large enterprise knowledge bases vs unlimited competitors
Unpredictable Credit Consumption: Most common user complaint - 'credits depleted quickly and unpredictably' makes budgeting difficult
US-Only Data Residency: No documented EU data residency option - blocks customers with strict data localization requirements (GDPR, Digital Sovereignty)
No ISO 27001 Certification: Only SOC 2 Type II documented - ISO 27001 absence may limit enterprise procurement in regulated industries
1-Day Free Tier Log Retention: Severely limits troubleshooting and security incident investigation vs 30+ day industry standard
Learning Curve for Complex Workflows: Despite 'vibe coding' simplicity, sophisticated multi-agent systems and delegation rules require workflow design expertise
Support Quality Inconsistency: Mixed reviews noting slow/unresponsive support for non-enterprise tiers - support quality varies significantly by plan
No Manual Model Performance Comparison: Cannot A/B test different LLMs or compare model performance - manual experimentation required
Credit-Based Pricing Opacity: Difficult to forecast costs vs fixed per-seat or per-query pricing - budget planning challenging
NOT Ideal For: Developers needing RAG APIs, teams requiring transparent RAG implementation, EU data residency requirements, organizations needing predictable pricing, technical teams wanting embedding/retrieval control
Platform Category Mismatch: Fundamentally a workflow automation platform (competes with Zapier/Make) NOT a RAG-as-a-Service platform - architectural comparison to CustomGPT.ai is misleading
NOT a RAG platform: Customer service automation platform, NOT RAG-as-a-Service - lacks vector databases, embedding controls, configurable retrieval pipelines (rated 2/10 as RAG alternative)
Limited knowledge sources: Restricted to URLs, PDFs, CSVs with 10,000 Q&A entry limit vs unlimited documents and 1,400+ formats in RAG platforms
No programmatic knowledge API: Cannot upload documents, manage Q&A pairs, or configure knowledge base via API - all knowledge management requires UI interaction
No Lyro AI querying API: Cannot trigger AI responses or access retrieval endpoints programmatically - API limited to chat operations (contacts, tickets, conversations)
Fixed Claude 3 model: NO model selection, routing, or BYOLLM capabilities - eliminates LLM flexibility entirely (rated 3/10 for model flexibility)
Analytics depth limitations: Users report analytics "helpful but not as detailed as enterprise tools" with limited funnel and flow-level analytics vs specialized platforms
No AI performance metrics: No retrieval accuracy dashboards, semantic search performance tracking, hallucination rate monitoring, or confidence scoring visibility
Per-conversation pricing scaling: $0.50/Lyro chat costs escalate quickly at high volumes (1,000 AI conversations = $500/month) vs unlimited usage competitors
10-operator cap constraint: Self-serve plans limited to 10 operators until Premium tier ($2,999+/month) restricting team scalability for growing businesses
No native Slack/Teams integration: Only Zapier notifications available - no bidirectional chat or native bot deployment in workplace messaging platforms
Knowledge Base accuracy concerns: Opaque Q&A extraction methodology without retrieval parameter controls or hybrid search capabilities limiting accuracy vs specialized RAG platforms
Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain
Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases
Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models)
Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models
Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed
Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains
Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory)
Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
Shopify Deep Integration ( Core Differentiator)
N/A
Order management: View customer order history, track shipments, process refunds directly from chat interface without leaving conversation
Cart preview and recovery: See abandoned carts, send automated recovery messages, provide product recommendations based on browsing
Product catalog access: Search and display products from Shopify store within chat with images, pricing, and direct purchase links
Customer data sync: Automatic synchronization of customer profiles, purchase history, preferences for personalized support
Competitive positioning: Deep Shopify/WooCommerce capabilities vs RAG platforms' generic web integrations position Tidio strongly for e-commerce use cases
No-code automation: Drag-and-drop interface for conversation flow creation without programming knowledge (253 G2 'Ease of Use' mentions)
40+ pre-built templates: Sales, lead generation, support scenarios reduce time-to-deployment for common use cases
Testing simulator: Validate flows before publishing with built-in emulation preventing production errors
Export/import functionality: Share flows between accounts or backup configurations for versioning
HTTP request support: GET, POST, PATCH, PUT, DELETE within chatbot automation supporting JSON, Text, GraphQL formats with multiple authentication methods
Target audience advantage: Non-technical business users can deploy chatbots in minutes vs developer-required platforms (9/10 rated differentiator for SMBs)
User feedback: G2 reviews cite 'Easy Setup' (161 mentions) and 'intuitive' workflow design as primary strengths
N/A
Claude 3 A I Performance ( Differentiator)
N/A
Model selection rationale: Anthropic's Claude chosen for being "developed with the goal of becoming helpful, honest, and harmless" - explicit decision over GPT
Success rate improvement: Jumped from 50-70% to 79-87% after Claude 3 upgrade demonstrating significant model advancement
Customer automation rates: Case studies report 89-90% automation for well-configured implementations (Pizza Hut, Decathlon, Casio use cases)
Hallucination prevention: Strict knowledge base boundaries - Lyro answers only from provided sources and automatically escalates when uncertain
Privacy advantage: Anthropic processes conversations in-session only without saving data unnecessarily vs competitors using data for training
LIMITATION: No Fixed Claude 3 implementation - NO model switching, NO automatic routing, NO GPT/Gemini/custom model options (7/10 rated as limitation vs flexible RAG platforms)
N/A
Widget Customization & White- Labeling
N/A
Visual customization: Live editor with theme presets, color pickers (custom hex supported), logo uploads, position controls (left/right)
Light/dark modes: Built-in theme switching with automatic user preference detection
Custom CSS: Advanced styling via JavaScript SDK for design control beyond presets
Operating hours display: Show availability status to visitors automatically
Mobile responsiveness: Separate mobile widget settings with device-specific hiding options
Domain restrictions: Control which websites can embed widget through trusted domains configuration
Role-based access: Admin, Moderator, and Agent roles with configurable permissions (Growth+ plans) plus agent groups for departmental routing
White-labeling pricing: Note: $20/month addon on Growth tier OR included with Plus ($749+/month) - not available on Free/Starter
Custom avatars: Branded agent avatars and logos require Plus plans minimum
N/A
R A G Implementation & Accuracy
N/A
CRITICAL ARCHITECTURAL GAP: No NOT a RAG-as-a-Service platform - lacks vector databases, embedding controls, and configurable retrieval pipelines
Knowledge processing: Q&A extraction from URLs/PDFs/CSVs through opaque internal system without transparency into methodology
NO chunking parameters: No Chunk size, overlap, and strategy not exposed for optimization or tuning
NO embedding model selection: No Cannot choose between OpenAI, Cohere, or custom embedding models for vector generation
NO similarity threshold controls: No Cannot configure cosine similarity thresholds, retrieval scoring, or confidence levels
NO hybrid search: No No combination of keyword and semantic search strategies or BM25 integration
NO anti-hallucination mechanisms: No No citation attribution, source verification, or granular confidence scoring - responses cannot be traced to source documents
Hallucination prevention: Relies solely on strict knowledge base boundaries - Lyro answers only from provided sources and escalates when uncertain
Competitive positioning: Customer service automation platform, NOT autonomous knowledge retrieval system - fundamentally different architecture from RAG platforms (rated 2/10 as RAG platform)
N/A
Ease of Use & No- Code Interface ( Core Differentiator)
N/A
User satisfaction: 4.7/5 G2 rating with 1,600+ reviews citing exceptional usability as primary strength
45+ languages: English, Spanish, French, German, Italian, Portuguese, Dutch, Swedish, Norwegian, Polish, plus 35+ additional languages
Native processing: Lyro processes data sources directly in original language without internal English translation layer (reduces accuracy loss)
Automatic browser detection: Switches widget to visitor locale based on browser settings for seamless user experience
Multiple language packs: Allow department routing to language-specific teams for specialized support
Language limiting: Administrators can restrict which languages Lyro uses and set fallback behaviors for unsupported languages
20+ pre-translated packs: Chat widget language packs with manual translation options for additional coverage
Global reach advantage: Single knowledge base serves multiple languages vs competitors requiring separate configurations per locale (7.5/10 rated differentiator)
N/A
Customer Base & Case Studies
N/A
Scale: 300,000+ businesses served globally demonstrating SMB/e-commerce market fit
Named customers: Pizza Hut (89-90% automation rates), Decathlon, Casio (enterprise validation)
WordPress adoption: 60,000+ plugin installations demonstrate strong small business penetration
User satisfaction: 4.7/5 G2 rating (1,600+ reviews) with 68% five-star ratings
Review themes - Praise: Ease of use (253 mentions), easy setup (161 mentions), Shopify integration, visual Flow Builder, responsive support
Review themes - Criticisms: Analytics depth limitations, per-conversation pricing at scale, API access locked to Plus tier ($749/month), 10-operator cap on self-serve plans
Claude 3 upgrade impact: Success rates jumped from 50-70% to 79-87% with customer case studies reporting 89-90% automation after upgrade
N/A
Company Background
N/A
Founding: 2013 by Tytus Gołąs in Poland (12+ years of platform development and refinement)
After analyzing features, pricing, performance, and user feedback, both Lindy.ai and Tidio are capable platforms that serve different market segments and use cases effectively.
When to Choose Lindy.ai
You value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make
Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions
Claude Sonnet 4.5 default drives 10x customer growth - best-in-class language understanding
Best For: Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make
When to Choose Tidio
You value exceptional ease of use: 4.7/5 g2 rating with 253 'ease of use' and 161 'easy setup' mentions
Claude 3-powered Lyro AI achieving 79-87% success rates with customer case studies reporting 89-90% automation
300,000+ businesses served including Pizza Hut, Decathlon, Casio demonstrating SMB/e-commerce market fit
Best For: Exceptional ease of use: 4.7/5 G2 rating with 253 'Ease of Use' and 161 'Easy Setup' mentions
Migration & Switching Considerations
Switching between Lindy.ai and Tidio requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.
Pricing Comparison Summary
Lindy.ai starts at custom pricing, while Tidio begins at $29/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.
Our Recommendation Process
Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality
For most organizations, the decision between Lindy.ai and Tidio comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.
📚 Next Steps
Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.
• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements
Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.
DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.
People Also Compare
Explore more AI tool comparisons to find the perfect solution for your needs
Join the Discussion
Loading comments...