What are the main differences between Guru and Lindy.ai?

Guru excels in Permission-aware AI is unique differentiator - answers respect real-time access control and Enterprise-grade security: SOC 2, GDPR, zero LLM data retention, private models, scoring 86/100 in user ratings with N/A% accuracy. Lindy.ai leads in Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make and Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions with 81/100 overall rating and N/A% accuracy. Key technical difference: Guru focuses on Permission-aware Knowledge Agents with real-time access control while Lindy.ai emphasizes 5,000+ app integrations via Pipedream Connect partnership (conservative '200+ integrations' claim). Pricing differs by $25/month.

Which is better for enterprises: Guru or Lindy.ai?

Guru offers SOC 2 compliance for enterprise security. HIPAA compliance is available in Lindy.ai. For scalability, both offer cloud-based deployment options. Guru leads with 86/100 enterprise readiness score.

How much does Guru cost vs Lindy.ai?

Guru starts at $25/monthly (per-user model), while Lindy.ai begins at contact sales/monthly (credit-based model). Both offer free tiers to get started. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Lindy.ai to Guru?

Migration from Lindy.ai to Guru typically requires API-based data export/import, which Guru provides. Guru provides comprehensive API access excellent documentation for the migration process. Estimated migration time: 1-2 weeks for full deployment. Contact Guru support for migration assistance and best practices.

What integrations do Guru and Lindy.ai support?

Guru integrates with Native: Slack, Microsoft Teams, Salesforce, Zendesk, browser extension, Pre-built: ChatGPT, Claude, GitHub Copilot via MCP Server, Integration platforms: Zapier, Workato, Prismatic for 1,000+ apps, API access for custom integrations and embedded search, MCP (Model Context Protocol) Server for AI tool connectivity (8 integrations total). Lindy.ai supports 5,000+ apps via Pipedream Connect (2,500+ pre-built actions), Messaging: Slack (full integration), WhatsApp (Personal/Business APIs), Microsoft Teams, Telegram, Discord, Twilio SMS, CRM: Salesforce (24 actions, 8 triggers), HubSpot (deep integration), Pipedrive, Zoho CRM, Productivity: Notion (16 actions, 7 triggers), Airtable (full CRUD), Google Workspace (Gmail, Calendar, Docs, Sheets, Drive), Embedding: Popup widgets, iFrame embeds, public links with domain restrictions (8 integrations available). Guru provides comprehensive API access. Integration coverage is comparable.

What are the main differences between Guru and Lindy.ai?

Guru offers strong capabilities, scoring 0/100 in user ratings. Lindy.ai provides unique strengths with 0/100 overall rating. Key technical difference: Guru focuses on advanced features while Lindy.ai emphasizes specialized capabilities.

Which is better for enterprises: Guru or Lindy.ai?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Lindy.ai leads with strong/100 enterprise readiness score.

How much does Guru cost vs Lindy.ai?

Guru starts at custom pricing/month (subscription model), while Lindy.ai begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Guru to Lindy.ai?

Migration from Guru to Lindy.ai typically requires manual data transfer since API access may be limited. Lindy.ai offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Lindy.ai support for migration assistance and best practices.

What integrations do Guru and Lindy.ai support?

Guru integrates with (multiple platforms). Lindy.ai supports (various tools). API availability varies by plan. Integration coverage is comparable.

Guru vs Lindy.ai

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Lindy.ai More about Guru Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Guru and Lindy.ai 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 Guru and Lindy.ai, 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 Guru if: you value permission-aware ai is unique differentiator - answers respect real-time access control
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

About Guru

Guru is ai-powered knowledge management and search platform. Enterprise AI knowledge platform with permission-aware Knowledge Agents that deliver trusted, cited answers from your company's verified knowledge base across all workflows. Founded in 2015, headquartered in Philadelphia, PA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

86/100

Starting Price

$25/mo

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

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Lindy.ai offers more competitive entry pricing. The platforms also differ in their primary focus: Knowledge Management versus AI Assistant. 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

Guru	Lindy.ai	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
✅ Native Knowledge Base – Guru Cards with expert ownership and verification workflows Pre-Built Connectors – Google Drive, SharePoint, Confluence, Notion, Slack, Discord Automated Syncing – API/SDK, Zapier integrations for continuous updates Real-Time Indexing – Updates immediately reflected in AI responses Enterprise Scale – Handles millions of items across thousands of employees	Document Formats – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB per file) Cloud Integrations – Drive, OneDrive, Dropbox, Notion, SharePoint, auto 24-hour sync ⚠️ Storage Limits – 1M chars (Free), 20M (Pro), 50M (Business) ⚠️ Search Constraint – Fuzziness <100 limits to first 1,500 files	1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
✅ Native Workplace Apps – Slack, Microsoft Teams, browser extension ✅ AI Tool Integration – ChatGPT, Claude, GitHub Copilot via MCP Server Business Apps – Salesforce, Zendesk, Zapier (1,000+ apps) Developer Access – REST API, Python SDK, webhooks ⚠️ Internal Focus – Limited external channels like WhatsApp or Telegram	5,000+ Apps – Via Pipedream Connect with 2,500+ ready actions Messaging – Slack, WhatsApp, Teams, Telegram, Discord, Twilio SMS CRM – Salesforce (24 actions), HubSpot, Pipedrive, Zoho CRM Productivity – Notion, Airtable, Google Workspace (Gmail, Calendar, Docs, Sheets, Drive) Webhooks + HTTP – Inbound triggers and outbound API calls	Website embedding – Lightweight JS widget or iframe with customizable positioning CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
✅ Grounded Answers – All responses backed by verified knowledge with automatic citations ✅ Permission-Aware – Answers tailored to user's role and access permissions Custom Knowledge Agents – Specialized AI agents per team with role-specific insights Multi-Lingual – Content in all languages, translation to 50+ (UI English-only) Analytics Dashboard – Usage stats, deflection rates, time saved, knowledge gaps	N/A	✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI ✅ Source citations – Every response includes clickable links to original documents ✅ 93% resolution rate – Handles queries autonomously, reducing human workload ✅ 92 languages – Native multilingual support without per-language config ✅ Lead capture – Built-in email collection, custom forms, real-time notifications ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
Custom Agents – Unique name, avatar, scope per agent (IT, HR, Sales) Prompt Configuration – Custom instructions and system messages per agent No-Code Setup – Guided workflows via dashboard menu ⚠️ Limited White-Labeling – Guru branding present throughout platform	Widget – Custom name, accent color, logo for expanded/collapsed states Domain Restrictions – Control allowed deployment domains Memory Snippets – Learning preferences saved across sessions ⚠️ White-Label Unclear – Complete branding removal not explicitly confirmed	Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost 2-minute setup – No-code wizard with drag-and-drop interface Persona customization – Control AI personality, tone, response style via pre-prompts Visual theme editor – Real-time preview of branding changes Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
⚠️ Abstracted Model – LLM selection handled internally, likely OpenAI GPT Private Models – Enterprise option for dedicated Azure OpenAI instance Zero Data Retention – Third-party LLM never stores customer data	Anthropic Claude – Sonnet 4.5 (default), Sonnet 3.7, Haiku 3.5 OpenAI – GPT-5, GPT-5 Codex, GPT-4o, GPT-4 Turbo, o3, o1 Google Gemini – 2.5 Pro, 2.5 Flash, 2.0 Flash Per-Action Selection – Manual model choice affects credit consumption ⚠️ No Auto-Routing – No dynamic model switching	GPT-5.1 models – Latest thinking models (Optimal & Smart variants) GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available Claude 4.5 – Anthropic's Opus available for Enterprise Auto model routing – Balances cost/performance automatically Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
REST API – Full coverage for Cards, Collections, AI queries ✅ MCP Server – Model Context Protocol for external AI access Python SDK & Webhooks – Official library and event subscriptions Automation Platforms – Pre-built Zapier, Workato connectors	⚠️ CRITICAL LIMITATION – NO public REST API, GraphQL, or SDKs Workarounds Only – Inbound webhooks, HTTP actions, Code sandboxes (~150ms) User-Focused Docs – Lindy Academy for business users, NO API reference	REST API – Full-featured for agents, projects, data ingestion, chat queries Python SDK – Open-source `customgpt-client` with full API coverage Postman collections – Pre-built requests for rapid prototyping Webhooks – Real-time event notifications for conversations and leads OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
✅ RAG Foundation – All answers grounded in verified company knowledge ✅ Automatic Citations – Every answer includes exact source references Multiple Retrieval Techniques – Several algorithms for optimal results Permission Filtering – Retrieval uses only authorized content Real-Time Accuracy – Updates immediately reflected in responses	Hybrid Search – Semantic + keyword with Fuzziness slider (0-100) Hallucination Reduction – Human confirmation before actions ⚠️ NO Published Benchmarks – No RAG accuracy or latency metrics ⚠️ Black Box – Vector database and embedding models undisclosed	Sub-second responses – Optimized RAG with vector search and multi-layer caching Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API Anti-hallucination tech – Responses grounded only in your provided content OpenGraph citations – Rich visual cards with titles, descriptions, images 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility
Real-Time Updates – Edit Cards anytime, changes immediately available Agent Configuration – Custom prompts, intro messages per agent ⚠️ No Programmatic Personality – Dashboard-only config, no API	N/A	N/A
Pricing & Scalability
⚠️ Self-Serve Plan – $25/user/month (annual), $30/month (monthly), 10-user minimum Enterprise Plan – Custom pricing with volume discounts No Content Limits – Store thousands of Cards without fees Enterprise Scale – Supports thousands of employees in production	Free: $0 – 400 credits, 1M char knowledge base Pro: $49.99 – 5,000 credits, 20M chars, phone calls, Lindy branding Business: $199.99-$299.99 – 20K-30K credits, 50M chars, custom branding Enterprise: Custom – SSO, SCIM, dedicated support, custom training ⚠️ Unpredictable Costs – Credit depletion speed is primary user complaint	Standard: $99/mo – 60M words, 10 bots Premium: $449/mo – 300M words, 100 bots Auto-scaling – Managed cloud scales with demand Flat rates – No per-query charges
Security & Privacy
✅ SOC 2 Type II – Independently audited security controls ✅ GDPR Compliant – Data protection, EU residency options ✅ Zero LLM Data Retention – AI models never store customer data SAML SSO – Okta, Azure AD, Google Workspace integration Permission-Aware Security – AI respects real-time access controls	SOC 2 Type II, HIPAA, GDPR, PIPEDA, CCPA – Comprehensive compliance Encryption – AES-256 at rest, TLS 1.2+ in transit Enterprise SSO + SCIM – Automated user lifecycle management ⚠️ US Data Residency Only – No explicit EU option documented	SOC 2 Type II + GDPR – Third-party audited compliance Encryption – 256-bit AES at rest, SSL/TLS in transit Access controls – RBAC, 2FA, SSO, domain allowlisting Data isolation – Never trains on your data
Observability & Monitoring
AI Agent Center – Detailed logs of queries, answers, sources cited Analytics Dashboard – Usage stats, engagement, deflection metrics Trend Analysis – Identify frequently asked questions and knowledge gaps BI Integration – API access for Looker, Tableau	Workflow Performance – Agent action visibility with recent runs Audit Logs – User actions, data access on Business/Enterprise plans ⚠️ Log Retention – 1 day (Free) severely constrains troubleshooting ⚠️ NO RAG Metrics – Cannot track retrieval precision or recall	Real-time dashboard – Query volumes, token usage, response times Customer Intelligence – User behavior patterns, popular queries, knowledge gaps Conversation analytics – Full transcripts, resolution rates, common questions Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
Multi-Channel Support – Help Center, Community, live chat Enterprise Support – Dedicated CSM, priority support, SLAs Guru University – Training, workshops, certifications ✅ Exceptional Reputation – Praised in G2 for responsive support	Email Support – support@lindy.ai, security@lindy.ai, privacy@lindy.ai Slack + Forum – community.lindy.ai for peer support 100+ Templates – Pre-built workflow automation scenarios ⚠️ Support Inconsistency – Mixed reviews on responsiveness for lower tiers	Comprehensive docs – Tutorials, cookbooks, API references Email + in-app support – Under 24hr response time Premium support – Dedicated account managers for Premium/Enterprise Open-source SDK – Python SDK, Postman, GitHub examples 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
Business User Focus – Designed for non-technical knowledge managers Intuitive Card Editor – Wiki-like interface similar to Notion Point-and-Click Integrations – OAuth connections via simple clicks No Developer Required – Business users maintain agents independently	✅ 4.9/5 G2 Rating – 109+ reviews validate ease of use Agent Builder – Natural language prompts create complex agents Setup Speed – 30 seconds vs 15-60 minutes with Zapier/Make Drag-Drop Builder – Visual workflow construction, zero coding	2-minute deployment – Fastest time-to-value in the industry Wizard interface – Step-by-step with visual previews Drag-and-drop – Upload files, paste URLs, connect cloud storage In-browser testing – Test before deploying to production Zero learning curve – Productive on day one
Permission- Aware A I
✅ Real-Time Access Control – AI respects permissions from connected systems ✅ Role-Based Answers – Same question gets different answers per role Cross-System Permissions – Honors permissions from Drive, Notion, Salesforce ✅ Competitive Advantage – Most RAG platforms lack permission awareness	N/A	N/A
R A G-as-a- Service Assessment
Platform Type – TRUE RAG PLATFORM (Enterprise KM + AI) ✅ Key Differentiator – Permission-aware AI + verified knowledge Target Users – Enterprise teams (IT, HR, Sales), 1,000+ employees	⚠️ NOT a RAG Platform – Workflow automation for business users vs developers Black-Box RAG – Hybrid search with no exposed retrieval controls NO API, SDKs, CLI – No programmatic access for developers	Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure API-first – REST API, Python SDK, OpenAI compatibility, MCP Server No-code option – 2-minute wizard deployment for non-developers Hybrid positioning – Serves both dev teams (APIs) and business users (no-code) Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Competitive Positioning
✅ Primary Advantage – Permission-aware AI with real-time access control ⚠️ Pricing Challenge – Per-user pricing expensive for large deployments ⚠️ Internal Focus – Optimized for internal knowledge, not external chatbots	✅ Primary Advantage – 4.9/5 G2 usability with 5,000+ integrations Financial Validation – $5.1M revenue, $50M+ funding (Menlo, Battery, Coatue) Claude Sonnet 4.5 Default – Drove 10x customer growth ⚠️ Pricing Unpredictability – Credit-based model most common complaint	Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox. Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster vs Botsonic/Chatbase – More file formats, source citations, no hidden costs vs LangChain – Production-ready in 2 min vs weeks of development
A I Models
Abstracted Architecture – Likely OpenAI GPT (GPT-3.5/GPT-4) by default Private Options – Azure OpenAI in customer tenant for sovereignty Zero Data Retention – LLMs never store or train on data	Default: Claude Sonnet 4.5 – 'Almost no one overrides' per Anthropic Claude Family – Sonnet 4.5, 3.7, Haiku 3.5 (200K context) OpenAI – GPT-5, GPT-4o, GPT-4 Turbo, o3, o1 Google – Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash	OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series Anthropic – Claude 4.5 Opus/Sonnet (Enterprise) Auto-routing – Intelligent model selection for cost/performance Managed – No API keys or fine-tuning required
R A G Capabilities
✅ RAG Foundation – All answers grounded in verified knowledge with citations Permission Filtering – Prevents context contamination and leakage Real-Time Accuracy – Updates immediately reflected, no stale data	Hybrid Search – Semantic + keyword with Fuzziness slider (0-100) Document Processing – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB) Cloud Integration – Auto 24-hour sync (Drive, OneDrive, Dropbox, Notion, SharePoint) ⚠️ Black Box – Vector database, embedding models undisclosed ⚠️ NO Developer Control – Cannot customize retrieval parameters	GPT-4 + RAG – Outperforms OpenAI in independent benchmarks Anti-hallucination – Responses grounded in your content only Automatic citations – Clickable source links in every response Sub-second latency – Optimized vector search and caching Scale to 300M words – No performance degradation at scale
Use Cases
Enterprise Internal Support – IT, HR, Sales, Support teams Knowledge Base Unification – Single source from SharePoint, Confluence, Notion Employee Onboarding – Role-appropriate info filtered by permission Regulatory Compliance – Financial, healthcare, legal with audit trails	Sales Automation – Lead qualification, scoring, enrichment, CRM syncing Customer Support – Email triage, routing, FAQ, escalation Voice Agents (Gaia) – 30+ language phone automation with call transfer ⚠️ NOT Ideal For – Developers needing RAG APIs, EU residency	Customer support – 24/7 AI handling common queries with citations Internal knowledge – HR policies, onboarding, technical docs Sales enablement – Product info, lead qualification, education Documentation – Help centers, FAQs with auto-crawling E-commerce – Product recommendations, order assistance
Security & Compliance
SOC 2 Type II – Third-party audited security controls GDPR Compliant – Data protection, EU residency options Zero LLM Data Retention – Contractual guarantee with providers SAML SSO & SCIM – Okta, Azure AD, Google Workspace integration	SOC 2 Type II + HIPAA with BAA – Independently audited GDPR + PIPEDA + CCPA – Multi-region privacy compliance AES-256 + TLS 1.2+ – Encryption at rest and in transit ⚠️ NO ISO 27001 – May limit enterprise procurement	SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance 256-bit AES encryption – Data at rest; SSL/TLS in transit SSO + 2FA + RBAC – Enterprise access controls with role-based permissions Data isolation – Never trains on customer data Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
Self-Serve Plan – $25/user/month (annual), 10-user minimum Enterprise Plan – Custom pricing with volume discounts ⚠️ Seat-Based Model – Expensive for large deployments vs query-based	Free: $0 – 400 credits, 1M chars, 1-day logs Pro: $49.99 – 5K credits, 20M chars, phone calls Business: $199.99-$299.99 – 20K-30K credits, 50M chars, branding ⚠️ PRIMARY COMPLAINT – Unpredictable credit consumption difficult to budget	Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot Enterprise: Custom – SSO, dedicated support, custom SLAs 7-day free trial – Full Standard access, no charges Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
Multi-Channel Support – Help Center, Community, live chat Enterprise Support – Dedicated CSM, priority support, SLAs Guru University – Training, workshops, certifications	Lindy Academy – Step-by-step tutorials for business users 100+ Templates – Pre-built workflows for common scenarios Slack + Forum – community.lindy.ai for peer support ⚠️ NO Developer Docs – No API reference or technical architecture	Documentation hub – Docs, tutorials, API references Support channels – Email, in-app chat, dedicated managers (Premium+) Open-source – Python SDK, Postman, GitHub examples Community – User community + 5,000 Zapier integrations
Additional Considerations
⚠️ Content Maintenance Required – Value depends on disciplined refreshing ⚠️ Per-User Pricing – Expensive for 1,000+ users vs alternatives Best For – Internal KM with verified workflows culture	N/A	Time-to-value – 2-minute deployment vs weeks with DIY Always current – Auto-updates to latest GPT models Proven scale – 6,000+ organizations, millions of queries Multi-LLM – OpenAI + Claude reduces vendor lock-in
Limitations & Considerations
⚠️ Per-User Pricing – Expensive for 1,000+ users vs query-based ⚠️ Internal Focus – Not optimized for external chatbots ⚠️ Limited White-Labeling – Guru branding present in app ⚠️ Model Abstraction – No LLM selection reduces flexibility	NO Public REST API – Cannot manage agents programmatically Black Box RAG – Vector database, embeddings undisclosed Search Constraint – Fuzziness <100 limits to 1,500 files Credit Unpredictability – Most common user complaint about costs ⚠️ Platform Mismatch – Workflow automation vs RAG comparison misleading	Managed service – Less control over RAG pipeline vs build-your-own Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source Real-time data – Requires re-indexing; not ideal for live inventory/prices Enterprise features – Custom SSO only on Enterprise plan
Core Agent Features
N/A	Agent Autonomy Focus – Task execution vs conversational chatbot Multi-Lingual – 30+ (voice), 50+ (transcription), 85+ (text) ✅ Lead Capture – Real-time qualification, CRM sync (70% higher conversion claimed) Agent Evals – Benchmarking with regression prevention	Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks Multi-Agent Systems – Specialized agents for support, sales, knowledge Memory & Context – Persistent conversation history across sessions Tool Integration – Webhooks + 5,000 Zapier apps for automation Continuous Learning – Auto re-indexing without manual retraining
Autopilot & Computer Use ( Core Differentiator)
N/A	Unique Capability – AI agents operate cloud-based virtual computers No API Required – Interact with any website/application through computer vision E2B Sandboxes – Secure Python/JavaScript execution (~150ms startup) ✅ Market Differentiation – Computer Use unique among no-code automation platforms	N/A
Multi- Agent Collaboration
N/A	Societies of Lindies – Multiple specialized agents with delegation rules Context Preservation – Full conversation history passed between agents Use Cases – Sales (SDR → AE → CS), Support (Triage → Technical → Escalation) Learning Shared – Feedback across agent society for collective improvement	N/A
Lead Capture & Conversion
N/A	Real-Time Qualification – AI evaluates lead quality during conversation Enrichment – Firmographic data, UTM attribution, validation Auto CRM Sync – Qualified leads flow to Salesforce, HubSpot, Pipedrive, Zoho ✅ 70% Higher Conversion – Claimed vs traditional forms (vendor claim)	N/A
Customization & Flexibility ( Behavior & Knowledge)
N/A	N/A	Live content updates – Add/remove content with automatic re-indexing System prompts – Shape agent behavior and voice through instructions Multi-agent support – Different bots for different teams Smart defaults – No ML expertise required for custom behavior

Ready to experience the CustomGPT difference?

Start Free Trial →

Final Thoughts

Final Verdict: Guru vs Lindy.ai

After analyzing features, pricing, performance, and user feedback, both Guru and Lindy.ai are capable platforms that serve different market segments and use cases effectively.

When to Choose Guru

You value permission-aware ai is unique differentiator - answers respect real-time access control
Enterprise-grade security: SOC 2, GDPR, zero LLM data retention, private models
Verified knowledge base with expert verification workflows ensures accuracy

Best For: Permission-aware AI is unique differentiator - answers respect real-time access control

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

Migration & Switching Considerations

Switching between Guru and Lindy.ai 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

Guru starts at $25/month, while Lindy.ai begins at custom pricing. 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 Guru and Lindy.ai 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: February 24, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

Ready to Get Started with CustomGPT?

Join thousands of businesses that trust CustomGPT for their AI needs. Choose the path that works best for you.

Start Your Free Trial

Experience the full power of CustomGPT risk-free.

Get Started

RECOMMENDED

Request a Demo

See how CustomGPT can transform your business operations.

Get Started

Contact Sales

Get personalized guidance from our expert team.

Get Started

Why Choose CustomGPT?

97% Accuracy

Industry-leading benchmarks

5-Min Setup

Get started instantly

24/7 Support

Expert help when you need it

Enterprise Ready

Scale with confidence

Trusted by leading companies worldwide

CustomGPT

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.

Get API Key Documentation Read our benchmarks

Get in touch
Contact Us

Join the Discussion

Loading comments...

Priyansh Khodiyar

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.

Guru vs Lindy.ai