In this comprehensive guide, we compare Stonly and WonderChat 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 Stonly and WonderChat, 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 Stonly if: you value exceptional ease of use - 4.8/5 g2 rating with intuitive visual editor praised in 32 reviews
Choose WonderChat if: you value extremely easy setup - train chatbot in 5 minutes from website or documents
About Stonly
Stonly is interactive knowledge base platform with enterprise ai-powered answers. Stonly is a customer support knowledge management platform with embedded AI capabilities focused on interactive step-by-step guides and help desk agent assistance. Its AI Answers feature (Enterprise-only add-on) achieves 71% self-serve success rates, but it's fundamentally a knowledge base platform with AI features—not a pure RAG-as-a-Service solution. Founded in 2017, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
96/100
Starting Price
$249/mo
About WonderChat
WonderChat is build ai chatbots trained on your data in minutes. WonderChat.io is a no-code platform that lets you create custom AI chatbots trained on your website content and documents. Deploy across multiple channels including web, WhatsApp, Slack, and more with built-in RAG technology to eliminate hallucinations. Founded in 2023, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
84/100
Starting Price
$49/mo
Key Differences at a Glance
In terms of user ratings, Stonly in overall satisfaction. From a cost perspective, WonderChat offers more competitive entry pricing. The platforms also differ in their primary focus: Knowledge Management versus AI Chatbot. 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
Stonly
WonderChat
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
PDF uploads confirmed
Public website crawling: Pages not requiring authentication
Zendesk help center content indexing
Proprietary interactive guide format as primary content model
Note: No Google Drive, Dropbox, Notion, or SharePoint integrations for data ingestion
Note: No YouTube transcript extraction (videos can be embedded but not processed)
Note: No direct Word document (.docx) or HTML file imports confirmed
Note: No automatic content syncing from external sources - updates are manual through Stonly's visual editor
Content limits by tier: Basic (5 guides, 400 views/mo), Small Business (unlimited guides, 4K views/mo), Enterprise (custom)
Content versioning: Side-by-side comparison and instant restore on Business and Enterprise plans
Automatically crawl websites to train chatbot in minutes using sitemaps or URLs
Ingest helpdesk articles from Zendesk or Freshdesk to create unified knowledge base
Cloud integrations with Google Drive and Microsoft SharePoint with scheduled syncing (monthly on standard plans, weekly on higher tiers)
Storage capacity: ~3 million characters on Basic plan ($99/mo), up to 15 million characters on Turbo plan
Supports manual retraining and automated updates for connected sources
Can index approximately 1,000 pages per agent on standard plans
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.
L L M Model Options
Note: Undisclosed proprietary LLM - Stonly does not disclose the specific model powering AI Answers
Note: No model selection - users cannot choose between GPT-3.5, GPT-4, Claude, or other models
Note: No temperature controls, fine-tuning, or model routing
AI Profiles: Up to 20 per team for tone and behavior customization
Custom Instructions: Up to 100 per team defining boundaries and style
Guided AI Answers: Define specific questions that trigger predetermined answers, bypassing AI generation for sensitive scenarios
Automatic fallback: When AI confidence is low, system falls back to ML-powered search rather than forcing an answer
Knowledge-grounded approach: AI responses anchored in Stonly guides, external websites, and selected PDFs to reduce hallucinations
Choose between GPT-3.5 Turbo (default for speed/cost) and GPT-4 (on Basic plan and above)
All OpenAI model access included on Basic ($99/mo) and higher plans
Comprehensive documentation portal with setup guides and API references
Integration guides for popular platforms (Wix, WordPress, Shopify, etc.)
Active blog with how-to content and tutorials
Changelog and feature updates available at wonderchat.io/integrations
Responsive support team focused on customer satisfaction
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
4.8/5 ease of use rating on G2
"Ease of use" mentioned 32 times in G2 reviews
Visual drag-and-drop editor requires no coding
Small learning curve - non-technical teams productive quickly
Guide creation in under 30 minutes reported by users
Pre-built templates for common scenarios
Intuitive interface for support teams
Note: Some navigation confusion reported in admin interface
Note: Cannot edit on mobile devices
Wizard-style setup guides users step-by-step through chatbot creation
Paste URL or upload documents - system automatically trains the bot
Drag-and-drop file uploads for knowledge base management
Visual chat widget editor with real-time preview
No coding required for embedding - simple copy-paste of embed snippet
Team collaboration features with multiple team members (3 on Basic, 5 on Turbo)
One-click data source connections (Google Drive, SharePoint, Zendesk, etc.)
In-dashboard testing of chatbot before deployment
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.
R A G-as-a- Service Assessment
Note: NOT a RAG-as-a-Service platform - fundamentally a knowledge base tool with embedded AI
Data source flexibility: Limited (PDF, public web, Zendesk only) vs comprehensive RAG platforms
LLM model options: None (undisclosed proprietary model, no user selection)
API-first architecture: Weak (widget-focused, limited SDKs, no server-side SDKs)
Performance benchmarks: Not published
Self-service AI pricing: Not available (Enterprise-gated, ~$39K/year)
Help desk integration depth: Excellent (best-in-class Zendesk, Salesforce, Freshdesk)
Hallucination controls: Strong (grounded in structured content)
Best for: Customer support ticket deflection, not flexible RAG backends
Not ideal for: Developers seeking pure RAG API, multi-tenant SaaS RAG backends, use cases needing model selection/fine-tuning
Platform Type: NO-CODE RAG-AS-A-SERVICE PLATFORM WITH EMERGING API - emphasizes rapid deployment and ease-of-use for SMBs, with Enterprise RAG platform launched November 2025
Core Architecture: RAG-first architecture eliminates AI hallucinations with source-verified answers, automatic citations, semantic understanding, and comprehensive indexing
API Capabilities (Enterprise RAG 2025): RAG API allows organizations to build fully custom AI search and conversational experiences across websites and mobile applications with verifiable, attributed responses
No-Code Primary Focus: 5-minute wizard-style setup from website/documents - fastest deployment in market without developer involvement, drag-and-drop file uploads, paste URL for automatic training
Developer Experience: REST API for sending queries, managing knowledge base, exporting chat logs; Client-side JavaScript SDK with functions like window.toggleChat(); Webhooks interface for event-driven integration
Target Market Evolution: Started as SMB-focused no-code platform ($49-249/month), expanding to enterprise with November 2025 Enterprise RAG launch featuring SharePoint/Google Drive integration
RAG Technology: Core RAG architecture with automatic citations for transparency, semantic understanding for paraphrased queries, continuous learning with admin editing/flagging, fast indexing (seconds to minutes)
Storage & Scalability: 3M characters on Basic ($99/mo) to 15M on Turbo ($249/mo) - approximately 1,000-5,000 pages per agent; cloud sync with Google Drive/SharePoint (monthly/weekly depending on tier)
Deployment Simplicity: Industry-leading 5-minute setup, plug-and-play multi-channel integrations (15+ channels), no coding required for embedding with simple copy-paste snippet
Multi-Channel Deployment: Unified AI deployable across web, voice, phone, Slack, Discord, Facebook Messenger, WhatsApp, SMS via Twilio
Enterprise Readiness: SOC 2 certified, GDPR compliant, encryption in transit/at rest, customer data isolation, DPA available (no HIPAA, no SSO/SAML on non-Enterprise tiers)
Use Case Fit: Ideal for non-technical SMBs needing fastest deployment (5-minute setup), support teams requiring native human handoff across 15+ channels, budget-conscious businesses wanting comprehensive features at lower entry point ($49 Lite)
Competitive Positioning: Positioned as user-friendly alternative to developer-first platforms (Cohere, Deepset) and more affordable than enterprise solutions (CustomGPT, Botsonic) while maintaining quality RAG
Performance Metrics: Organizations report over 70% reductions in inquiries through traditional support channels using Wonderchat deployment
LIMITATION: Basic RAG controls: No hybrid search, reranking, or configurable retrieval parameters vs enterprise RAG platforms (CustomGPT, Vertex AI)
LIMITATION: OpenAI model dependency: GPT-3.5/GPT-4 only on lower tiers - multi-model support (Claude, Gemini, Mistral, Llama, Deepseek) available on Enterprise RAG platform (Nov 2025)
LIMITATION: Storage constraints: 3M-15M character limits may constrain large enterprise knowledge bases compared to platforms like CustomGPT (60M-300M words)
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
Unique strength: Interactive guide format for structured support content
vs CustomGPT: Not comparable - different product categories (knowledge base vs RAG-as-a-Service)
vs Zendesk: Lighter-weight alternative focused on self-service guides vs full customer service platform
vs traditional chatbots: Interactive guides provide structured paths vs free-form conversation
Target audience: Support teams using Zendesk/Salesforce, not developers building RAG applications
70-76% ticket reduction documented in case studies
71% self-serve success rate with AI Answers
Enterprise compliance suitable for regulated industries
Market position: User-friendly no-code RAG chatbot platform emphasizing rapid 5-minute setup with comprehensive multi-channel support and affordable entry pricing for SMBs
Target customers: Small businesses and non-technical teams needing fastest deployment (5-minute setup), support teams requiring native human handoff with multi-channel presence (Slack, Discord, WhatsApp, Messenger, SMS), and budget-conscious SMBs wanting lower entry point ($49 Lite plan) than competitors
Key competitors: Chatbase.co, Botsonic, SiteGPT, Ragie.ai, and other no-code chatbot builders targeting SMB market
Competitive advantages: Industry-leading 5-minute setup from website/documents, comprehensive multi-channel integrations (15+ including Slack, Discord, WhatsApp, Messenger, SMS, Twilio), native human handoff included on all paid plans (not add-on), GPT-3.5/GPT-4 model selection, Zapier connectivity to 5,000+ apps, cloud storage integrations (Google Drive, SharePoint) with scheduled syncing, SOC 2/GDPR compliance, continuous hallucination correction by admins, and lower entry pricing at $49/month (Lite) vs. competitors' $79-99/month tiers
Pricing advantage: Most affordable entry at $49/month (Lite) with 2 agents and 2,500 messages; mid-tiers at $99 (Basic) and $249 (Turbo) competitive; free Starter plan (500 messages forever); 17% annual discount; best value for SMBs needing quick multi-channel deployment without breaking budget; cost-effective scaling with clear tiered pricing
Use case fit: Perfect for non-technical SMBs needing fastest deployment (5-minute setup) without developer involvement, support teams requiring native human handoff across 15+ channels (Slack, WhatsApp, Discord, Messenger, SMS), and budget-conscious businesses wanting comprehensive features at lower entry price point ($49 Lite) than competitors while maintaining quality RAG with source citations
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
Undisclosed Proprietary LLM: Stonly does not publicly disclose the specific model powering AI Answers feature
No Model Selection: Users cannot choose between GPT-3.5, GPT-4, Claude, Gemini, or other LLM providers
No Temperature Controls: No user-facing controls for adjusting response creativity, randomness, or formatting
No Fine-Tuning or Model Routing: Cannot customize model behavior beyond predefined AI Profiles and Custom Instructions
AI Profiles (Up to 20): Define tone, boundaries, and behavior for different use cases or audiences
Custom Instructions (Up to 100): Set specific rules and style guidelines for AI response generation
Guided AI Answers: Predefined responses for specific questions bypassing AI generation for sensitive scenarios
Automatic Fallback: Low-confidence scenarios trigger fallback to ML-powered search rather than forcing unreliable AI answer
Knowledge-Grounded Approach: AI responses anchored in Stonly guides, external websites, and PDFs to reduce hallucinations
GPT-3.5 Turbo (default): Fast, cost-effective model for most queries with sub-second response times
GPT-4 (Basic+ plans): Advanced reasoning and complex query handling available on $99/month and higher tiers
All OpenAI model access: Full access to GPT-3.5 and GPT-4 variants included on Basic plan ($99/month) and above
Manual model selection: Choose model per chatbot or let system default to GPT-3.5 for cost optimization
Multilingual capabilities: Leverages GPT models' 90+ language support for global deployment
RAG pipeline: Ensures accurate, source-cited answers grounded in provided knowledge base preventing hallucinations
No custom model support: Limited to OpenAI models - no Claude, Gemini, or bring-your-own-LLM options
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
R A G Capabilities
AI Answers (Enterprise Add-On): Generative AI responses grounded in Stonly guides, external websites, and selected PDFs
Knowledge-Grounding: Responses anchored to structured content (interactive guides, decision trees, checklists) reducing hallucinations vs generic chatbots
Confidence-Based Fallback: Automatic switch to ML-powered search when AI confidence is low preventing unreliable answers
Multi-Source Ingestion: PDF uploads, public website crawling, Zendesk help center content indexing
Interactive Guide Format: Proprietary content model combining structured workflows with AI-generated answers
Limited Data Sources: No Google Drive, Dropbox, Notion, SharePoint, or YouTube transcript extraction
Manual Content Updates: Updates through Stonly's visual editor—no automatic syncing from external sources
71% Self-Serve Success Rate: Documented effectiveness of AI Answers in reducing support escalations
Hallucination Controls: Strong grounding in structured content vs open-ended conversational AI
Core RAG architecture: Retrieval Augmented Generation eliminates AI hallucinations with source-verified answers
Automatic citations: Every response includes source citations for transparency and fact-checking
Continuous learning: Admins can edit/flag wrong answers for hallucination correction and quality improvement
Fast indexing: New content indexed in seconds to minutes for quick knowledge updates with minimal downtime
Storage capacity: ~3M characters on Basic ($99/mo), up to 15M on Turbo ($249/mo) - approximately 1,000 pages/agent
Cloud sync: Google Drive and SharePoint integrations with scheduled syncing (monthly on standard plans, weekly on higher tiers)
No advanced RAG features: No hybrid search, reranking, or configurable retrieval parameters vs enterprise RAG platforms
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
Customer Support Ticket Deflection: 70-76% ticket reduction through interactive self-service guides and AI Answers
Help Desk Integration: Deep Zendesk, Salesforce Service Cloud, Freshdesk, ServiceNow integration for unified support workflows
Interactive Onboarding: Step-by-step guides, decision trees, and checklists for product onboarding and user education
Knowledge Base Enhancement: Augment traditional help centers with interactive guides and AI-powered search
Agent Assistance: Provide support agents with guided workflows and AI answers during live interactions
Multi-Language Support: Auto-translation on Enterprise plan for global support teams and multilingual customers
Complex Troubleshooting: Decision tree logic guides users through multi-step troubleshooting processes
Compliance & Training: Structured guides ensuring consistent information delivery for regulated industries
SMB customer support: Non-technical small businesses needing 5-minute setup for basic support automation without developer involvement
Multi-channel deployment: 15+ channels including Slack, Discord, Facebook Messenger, WhatsApp, SMS via Twilio with unified management
Website knowledge base: Automatically crawl websites to train chatbot using sitemaps or URL lists for rapid deployment
Native human handoff: Seamless escalation to live agents on all paid plans (Lite+) preserving full conversation context
Document Q&A: PDF, DOCX, TXT, CSV, HTML uploads via drag-and-drop for instant knowledge base creation
Budget-conscious deployments: $49/month Lite plan provides lower entry point than competitors ($79-99/month typical)
NOT ideal for: Enterprise compliance needs (no HIPAA), complex workflow automation, teams requiring advanced RAG controls, organizations needing SSO/SAML
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)
17% annual discount: Save ~17% when paying annually vs monthly billing across all paid plans
7-day free trial: Test paid plan features before purchase commitment
Value proposition: Most affordable entry at $49/month vs competitors' $79-99/month typical mid-tier pricing
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
4.8/5 G2 Rating: 132 reviews with consistently high satisfaction scores
Ease of Use Praised: "Ease of use" mentioned 32 times in G2 reviews indicating intuitive platform
Help Center Documentation: Comprehensive guides and tutorials for platform features
Email and Chat Support: Standard support channels for all paid plans
Dedicated Support (Enterprise): Priority support with dedicated account team and faster response times
Pre-Built Templates: Common support scenario templates accelerating guide creation
Quick Onboarding: Users report creating guides in under 30 minutes with small learning curve
REST API Documentation: API reference for user provisioning, content management, and widget control
Mobile SDKs (Enterprise): iOS, Android, React Native, Flutter for native app integration
Limited Developer Resources: No Python/Node.js SDKs, GraphQL, OpenAPI specs, or API Explorer/sandbox
Email support: Direct support via support@wonderchat.io for all customers with tier-based priority
Priority Support: Enterprise customers receive priority response times and dedicated assistance
Comprehensive documentation: Setup guides, API references, and integration documentation portal
Integration guides: Platform-specific guides for Wix, WordPress, Shopify, and popular CMS platforms
Active blog: How-to content, tutorials, and best practices for chatbot deployment and optimization
Changelog: Feature updates and integration announcements at wonderchat.io/integrations
Responsive support team: Focused on customer satisfaction with quick turnaround times
Enterprise RAG launch (Nov 2025): New Enterprise platform for organizations requiring accuracy at scale with SharePoint/Google Drive integration
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
No Real-Time Analytics: Flow reports update every 15 minutes—not true real-time monitoring
Limited Developer API: No Python/Node.js SDKs, GraphQL, Swagger specs, or API sandbox for testing
Overage Pricing Escalation: View limits can trigger expensive automatic upgrades after 2 consecutive months
Not Ideal For: Developers seeking pure RAG API, multi-tenant SaaS RAG backends, use cases needing model selection/fine-tuning, or flexible data source integration
OpenAI model lock-in: GPT-3.5 and GPT-4 only - no Claude, Gemini, or custom model support
Basic RAG implementation: No hybrid search, reranking, or advanced retrieval parameters vs enterprise RAG platforms
Limited enterprise features: No HIPAA, no SSO/SAML on non-Enterprise tiers, basic RBAC
Storage limits: 3M-15M characters depending on tier may constrain large knowledge bases (1,000-5,000 pages approx)
Monthly cloud sync on lower tiers: Basic/Lite plans sync Google Drive/SharePoint monthly vs weekly on Turbo+
Message limits: 2,500-15,000 messages/month on paid plans - can exhaust with high-traffic deployments
Team collaboration limits: 3-5 team members on mid-tiers - unlimited only on Enterprise
Best for SMBs: Optimized for small businesses rather than enterprise-scale deployments with complex requirements
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
Core Agent Features
Conversational AI Bot: Delivers confident answers backed by verified structured knowledge unlike generic LLMs that can hallucinate or invent answers
Knowledge-grounded responses: Provides answers backed by verified structured knowledge from guides you create preventing fabricated information
AI Agent Assist: Automatically summarizes tickets, suggests right path to resolution, and generates responses for support agents
Three core automation functions: Automatically analyzes and summarizes support ticket content, recommends most relevant Stonly guide/knowledge path to resolve issues, drafts complete responses for agents to review/edit/send
Process automation: Define processes to be followed and link them to different back-office tools to resolve customer requests before they reach support
Personalized knowledge: AI-powered solutions and process automation allow creation of guides, walkthroughs, checklists, knowledge bases adapting to each customer's needs
71% self-serve success rate: With AI Answers feature documented in company data
Hallucination reduction: Knowledge-grounding approach vs generic chatbots reduces off-topic responses
AI Agent Platform (November 2025): Launched Enterprise RAG AI Agent platform for customer service and accurate enterprise knowledge retrieval with multi-model support (OpenAI, Claude, Gemini, Mistral, Llama, Deepseek)
Conversation memory & context: Entire conversation history preserved across sessions ensuring continuity when escalating from AI to human agents with complete context
Multi-modal deployment: Same trained AI deployable via web, voice, or phone channels for unified customer experience
Human handoff capabilities: Three trigger methods - AI detects inability to answer adequately, user explicitly requests human help, or predefined conditions met (multiple failed responses)
Handoff options: Create ticket in helpdesk (Zendesk, Freshdesk), send email notification to support team, or connect user directly to live agent through built-in chat interface
Customizable handoff rules: Set rules based on specific keywords, number of unsuccessful AI responses, explicit user requests for human support, or time-based conditions
Lead capture: Available on all plans - chatbot prompts users for contact information with automatic CRM syncing via ActiveCampaign and HubSpot integrations
Multi-channel orchestration: 15+ channels including Slack, Discord, Facebook Messenger, WhatsApp, SMS via Twilio with unified management
Multi-lingual support: Advanced Multilingual Configurations for enterprise clients with 90+ language support via GPT models
Analytics & monitoring: Dashboard tracking conversations, questions, resolution rate with Advanced Analytics on Turbo plan for deeper insights
Real-time notifications: Escalation event notifications via Twilio SMS or Slack for immediate team awareness
LIMITATION: Basic agent architecture: No multi-agent orchestration or specialized agent coordination compared to platforms like Voiceflow or Vertex AI
LIMITATION: Limited workflow automation: Focuses on straightforward Q&A and handoff - lacks complex workflow capabilities for multi-step business processes
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
Additional Considerations
Limited UI customization: Limited ability to customize user interface and workflows to match specific brand requirements is primary user concern
Basic collaboration tools: Without real-time editing or advanced team management features can hinder team productivity when multiple people need to work together
No offline access: Guides unavailable without internet connectivity reducing usability in areas with unreliable internet
Performance degradation: Can degrade with very large or complex guides causing slower responsiveness indicating scalability concerns
Restricted language options: Limit efficient creation of multilingual content which may be barrier for global organizations
Mixed media support missing: Users find missing features wishing for mixed media support and enhanced reporting tools
Step ordering difficulties: Users report limitations in feature usability and difficulties with step ordering though support offers helpful workarounds
Requires coding knowledge: Unlike most competitors, doesn't advertise as no-code platform - need coding knowledge to track events, target users, stream data, and style content
Image workflow limitations: Inability to use images in base offering limits utility in some workflows with some advanced features requiring extra costs
View-based pricing: Charges additional fees based on guide views - customers exceeding 4,000 guide views/month pay extra $250-500 monthly depending on volume
Integration reliability: Users find lack of integrations limits ability to fully connect Stonly with other tools - Stonly/Zendesk integration isn't as reliable as desired (stops working every few weeks)
5-minute setup from website or documents - fastest deployment in the market
Plug-and-play multi-channel integrations (15+ channels) with minimal technical setup
Native Human Handoff included on all paid plans for seamless escalation
Lower entry-level pricing ($49 Lite plan) compared to enterprise-focused competitors
Ideal for small businesses, SMBs, and non-technical users who need quick deployment
Continuous innovation with frequent updates and new integrations
Focus on ease-of-use makes it accessible to business users without developer involvement
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.
CSS and HTML customization: Change layout and look of knowledge base with custom code capabilities
Intuitive customization tools: Easy-to-use tools that don't require code for basic customization
Layout customization: Decide how content is structured and presented with flexible options
Design controls: Manage visual components like colors, logo, or cover image for brand alignment
Personalized content: Use customer data to show personalized content from knowledge base for targeted experiences
Data-driven personalization: Customers see what they need right away when first accessing knowledge base
Analytics insights: Guide usage analytics provide insight into customer behavior for continuous improvement
Highly flexible platform: Users appreciate ability to use Stonly for knowledge bases and guided tours with target properties based on specific user needs
Rich media support: Add images, GIFs, videos, and annotations to bring knowledge base content to life
Third-party scripts: Install scripts from other tools like Google Analytics for extended functionality
Quick knowledge updates with minimal downtime - new content indexed in seconds to minutes
Chatbot Rules and presets for behavior customization
Suggested questions feature to guide users with prompt suggestions
Dynamic greeting messages that can change based on context
Multiple agents per account (2 on Lite, 3 on Basic, 5 on Turbo, unlimited on Enterprise)
Scheduled cloud syncs for Google Drive and SharePoint (monthly/weekly)
Manual re-sync available for immediate updates when needed
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.
After analyzing features, pricing, performance, and user feedback, both Stonly and WonderChat are capable platforms that serve different market segments and use cases effectively.
When to Choose Stonly
You value exceptional ease of use - 4.8/5 g2 rating with intuitive visual editor praised in 32 reviews
Deep help desk integrations - bidirectional Zendesk, Salesforce, Freshdesk, ServiceNow connections
Strong compliance - SOC 2 Type 2, GDPR, HIPAA, ISO 27001, PCI, CSA Star Level 1
Best For: Exceptional ease of use - 4.8/5 G2 rating with intuitive visual editor praised in 32 reviews
When to Choose WonderChat
You value extremely easy setup - train chatbot in 5 minutes from website or documents
Built-in human handoff and live chat feature for seamless escalation
Best For: Extremely easy setup - train chatbot in 5 minutes from website or documents
Migration & Switching Considerations
Switching between Stonly and WonderChat 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
Stonly starts at $249/month, while WonderChat begins at $49/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 Stonly and WonderChat 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.
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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.
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