In this comprehensive guide, we compare GPTBots.ai and Stonly 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 GPTBots.ai and Stonly, 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 GPTBots.ai if: you value unmatched multi-llm selection: 30+ models across openai, anthropic, google, deepseek, meta, mistral, chinese llms
Choose Stonly if: you value exceptional ease of use - 4.8/5 g2 rating with intuitive visual editor praised in 32 reviews
About GPTBots.ai
GPTBots.ai is no-code ai chatbot platform for business automation. Enterprise AI agent platform with multi-LLM orchestration, visual no-code builder, and on-premise deployment. 45,500+ users across 188 countries with ISO 27001/27701 certification and comprehensive channel integrations. Founded in 2023, headquartered in Hong Kong (parent company Aurora Mobile founded 2011), the platform has established itself as a reliable solution in the RAG space.
Overall Rating
83/100
Starting Price
Custom
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
Key Differences at a Glance
In terms of user ratings, Stonly in overall satisfaction. From a cost perspective, GPTBots.ai starts at a lower price point. The platforms also differ in their primary focus: AI Chatbot versus Knowledge Management. 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
GPTBots.ai
Stonly
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Document Formats: PDF, DOC, MD, TXT with automatic OCR parsing for image-based content
Spreadsheet Support: CSV, XLS, XLSX with "header + row" slicing methodology for structured data
Cloud Integrations: Google Drive (automatic document synchronization with scheduled updates), Notion, Microsoft Word access
Website Crawling: Sitemap mode with scheduled refresh for automatic content updates and maintenance
Audio/Video Processing: ASR (Automatic Speech Recognition) services, YouTube transcript extraction via official tools integration
Database Support: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Redis for structured data queries
Content Transformation: Automatic conversion from unstructured data to structured markdown format
Chunking Configuration: Default 600 tokens (adjustable via API) or custom identifier-based splitting strategies
Real-Time Activation: Knowledge becomes effective immediately after saving without deployment delays
Conversation-to-Knowledge: One-click training from conversation logs with automatic Q&A pair generation for knowledge base enhancement
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
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.
Three Agent Architectures: Agent (single LLM for simple scenarios), Flow-Agent (visual process orchestration), MultiAgent (multiple specialized AI roles collaborating)
Multi-Lingual: 90+ languages supported for global deployment and multilingual conversation handling with 24/7 multilingual support
RAG Grounding: Hybrid search (semantic vector + keyword) with Jina/BAAI re-ranking for hallucination prevention
Citation Support: Source references displayed for answer verification with configurable relevance score thresholds
Context Management: Priority system - Long-term Memory, Short-term Memory, Identity Prompts, User Question, Tools Data, Knowledge Data with automatic truncation
Automated Customer Service: Automate up to 90% of customer inquiries reducing operational costs by up to 70% with intelligent automation
Human Handoff: Intercom, LiveChat, Sobot, Zoho Sales IQ, Webhook triggers with LLM-interpreted custom timing, automatic conversation summarization
Lead Capture: CRM integration (Salesforce, HubSpot) with AI SDR capabilities claiming up to 300% lead growth
Performance Claims: 95% autonomous resolution, 90% reduction in customer issues, 50%+ cost savings (self-reported case studies)
Conversation Management: Full logs with configurable retention, category organization, insight analysis features
Personalization: Use customer data and behavior insights to tailor interactions making chatbot feel more human and relevant
Anthropic: Claude 4.5 Opus/Sonnet/Haiku (200k context), Claude 4.0 Sonnet
Google: Gemini 3.0 Pro, Gemini 2.5 Pro/Flash
DeepSeek: V3, R1 reasoning model (claimed 87.5% AIME 2025 accuracy, improved from 70%)
Meta: Llama 3.0/3.1 (8B-405B parameter range for varied performance/cost trade-offs)
Mistral: 7B, 8x7B, small/medium/large model variants
Chinese LLMs: Qwen 3.0/2.5, Hunyuan, ERNIE 4.0, GLM-4.5 for regional market support
Dynamic Model Switching: Mid-conversation model changes based on task requirements (e.g., GPT for research → Claude for summarization → DeepSeek for analysis)
Service Modes: GPTBots-provided API keys (no external registration) OR bring-your-own-key (BYOK) with reduced credit consumption
Embedding Models: OpenAI text-embedding-ada-002, text-embedding-3-large/small, BAAI and Jina re-ranking models
Competitive Differentiator: One of market's most comprehensive LLM selections with 30+ 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
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)
API Architecture: REST-only API with 8 functional categories - Conversation, Workflow, Knowledge, Database, Models, User, Analytics, Account
Authentication: Bearer tokens generated through platform dashboard for API access control
Audio Support: Audio-to-text and text-to-audio conversion endpoints
User Management: Identity management with cross-channel user merging capabilities
Rate Limits: Free tier severely constrained at 3 requests/minute vs custom enterprise limits (production limits not publicly documented)
API V2 Features: Detailed token and credit consumption tracking in responses for cost monitoring
SDK Gap: No official Python, JavaScript, or Go SDKs - only iOS (Swift) and Android (Java) WebView bridges for mobile embedding
Documentation: Comprehensive endpoint references with parameter tables, multi-language support (English, Chinese, Japanese, Spanish, Thai), active changelog (11+ releases in 2025)
Testing Tools: curl examples and Postman Collections provided - no interactive API playground available
Critical Limitation: Developers must implement direct REST calls without language-specific SDK support
REST API: Supports user provisioning, content management, widget control
Mobile SDKs (Enterprise only): iOS, Android, React Native, Flutter
Note: No Python SDK or server-side Node.js SDK
Note: No GraphQL API or OpenAPI/Swagger specification
Note: Rate limits not publicly documented
Note: No API Explorer, sandbox environment, or Postman collections
Note: REST API versioning strategy unclear
Widget API: Programmatic control including opening specific content, listening for events, user identification
CSP whitelisting: Instructions documented for Content Security Policy compliance
Widget versioning documented
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
Note: AI Answers, Mobile SDK, SAML SSO, white-labeling all Enterprise-gated
Average enterprise contract: ~$39,000 annually according to Vendr procurement data
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
ISO 27001: Information Security Management System certification (internationally recognized)
ISO 27701: Privacy Information Management System certification (GDPR compliance foundation)
SOC 2: Referenced in enterprise positioning but explicit certification details not prominently documented
GDPR Compliance: Explicit compliance for EEA users with data protection and privacy rights
Encryption: SSL/HTTPS for data in transit, encryption technology for data at rest
Private Deployment Security: "Dual insurance for algorithms and keys" with trusted protection mechanisms
Data Isolation: Agent-level knowledge base isolation prevents cross-contamination
RBAC: Role-based access control with owner/manager/viewer permission levels
Regional Storage: Configurable data centers - Singapore (default), Japan, Thailand for data residency compliance
Privacy Provisions: No training on user data (explicit Google Workspace API commitment), data deletion/anonymization within 15 business days on request
Third-Party Data Sharing: Content may be transmitted to LLM provider data centers with separate privacy policies applying (user-acknowledged)
SSO Support: SAML 2.0 protocol with Microsoft Azure, Okta, OneLogin, Google, and any compatible identity provider
HIPAA: Not mentioned - potential blocker for healthcare use cases requiring protected health information
Yes SOC 2 Type 2
Yes GDPR compliant
Yes HIPAA compliant
Yes ISO 27001
Yes PCI compliant
Yes CSA Star Level 1
Trust Center: trust.stonly.com with security documentation, subprocessor lists, controls information
Context Windows: Up to 1M tokens (GPT-4.1), 400k (GPT-5.1), 200k (Claude 4.5) for complex document understanding
Reasoning Models: DeepSeek R1 with claimed 87.5% AIME 2025 accuracy (improved from 70%) for complex problem-solving
Dynamic Switching: Mid-conversation model changes enable task-specific optimization (e.g., GPT for research → Claude for summarization → DeepSeek for analysis)
Cost Optimization: Use expensive models (GPT-4, Claude Opus) for complex tasks, cheap models (GPT-4o-mini, DeepSeek V3) for simple responses
Service Flexibility: GPTBots-provided API keys (no setup) OR bring-your-own-key (BYOK) with reduced credit consumption
Regional Model Support: Chinese LLMs (Qwen, Hunyuan, ERNIE, GLM) for China market compliance and local language optimization
Embedding Diversity: OpenAI, BAAI, Jina models for varied retrieval strategies and re-ranking approaches
Architectural Advantage: Multi-LLM orchestration unmatched by most competitors locked to single provider ecosystems
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: Unmatched multi-LLM orchestration with 30+ models and dynamic mid-conversation switching
Deployment Flexibility: Only platform offering SaaS, cloud-native (AWS/Azure), and complete on-premise deployment options
Security Credentials: ISO 27001/27701 certification rare among AI platforms, GDPR compliance with multi-region data centers
Asia-Pacific Focus: Singapore/Japan/Thailand data centers, Chinese LLM support, multi-language docs (Chinese, Japanese, Thai, Spanish)
Financial Stability: Backed by NASDAQ-listed Aurora Mobile (JG) with RMB 316.17M in 2024 revenue
Primary Challenge: No official language SDKs (Python, JavaScript, Go) - only REST API limits developer adoption vs SDK-first competitors
Pricing Barrier: $649/month Business tier entry significantly higher than competitors with sub-$100 plans
Free Tier Limitation: 3 requests/minute rate limit severely constrains testing and small-scale production use
Market Position: Ranks 223rd among 1,893 AI platform competitors (Tracxn) - mid-tier market presence vs leaders (Twilio, Freshworks, Dialpad)
Use Case Fit: Strong for enterprises prioritizing deployment flexibility, multi-LLM cost optimization, visual building vs API-first developers
Documentation Feedback: G2 reviews cite gaps (7 mentions) and limited Spanish support (6 mentions) as improvement areas
Platform vs API: Comprehensive agent platform competing with Dialogflow, Rasa, Microsoft Bot Framework vs pure RAG APIs like CustomGPT
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: 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
Market-Leading Selection: 30+ models across 7+ providers including OpenAI (GPT-5.1, GPT-4.1, GPT-4o, o3, o4-mini), Anthropic (Claude 4.5 Opus/Sonnet/Haiku), Google (Gemini 3.0/2.5 Pro/Flash)
Advanced Reasoning: DeepSeek V3 and R1 reasoning model with claimed 87.5% AIME 2025 accuracy (improved from 70%) for complex problem-solving tasks
Meta Models: Llama 3.0/3.1 (8B-405B parameter range) for varied performance/cost trade-offs and open-source flexibility
Alternative Providers: Mistral (7B, 8x7B variants), Chinese LLMs (Qwen 3.0/2.5, Hunyuan, ERNIE 4.0, GLM-4.5) for regional compliance
Context Window Diversity: Up to 1M tokens (GPT-4.1), 400k (GPT-5.1), 200k (Claude 4.5) accommodating complex document understanding
Service Flexibility: GPTBots-provided API keys with no external registration OR bring-your-own-key (BYOK) for reduced credit consumption
Embedding Options: OpenAI text-embedding-ada-002, text-embedding-3-large/small, BAAI and Jina re-ranking models for hybrid retrieval
Cost Optimization: Sample consumption per 1K tokens ranges from 0.0157 credits (DeepSeek V3) to 1.65 credits (Claude 4.5 Sonnet output)
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
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
Hybrid Search Architecture: Multi-path retrieval combining semantic vector search with keyword-based search for comprehensive coverage
Advanced Re-Ranking: Jina and BAAI re-ranking models applied after initial retrieval to improve accuracy and relevance scoring
Configurable Chunking: Default 600 tokens adjustable via API with custom identifier-based splitting strategies and newline-based text splitters
Citation Support: Source references displayed with configurable relevance score thresholds for answer verification and transparency
Hallucination Prevention: RAG grounding to external knowledge sources combined with relevance thresholds to reduce false information
Real-Time Knowledge: Updates effective immediately after saving without deployment delays or downtime for agile content management
Context Prioritization: Intelligent system managing Long-term Memory, Short-term Memory, Identity Prompts, Tools Data, Knowledge Data with automatic truncation
Retrieval Testing: Built-in feature to test knowledge base recall quality before production deployment for quality assurance
Document Preservation: PDF structure maintained, unstructured content converted to structured markdown for better processing
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 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
Enterprise Customer Support: 95% autonomous resolution claims with AI SDR capabilities for lead qualification and CRM integration (Salesforce, HubSpot)
E-Commerce Automation: Order handling, product recommendations, payment processing with 30-second response time claims (GameWorld case study with $4M annual savings)
Healthcare & Finance: On-premise deployment options for HIPAA/PHI compliance and air-gapped environments requiring data sovereignty
Asia-Pacific Operations: Chinese LLM support (Qwen, Hunyuan, ERNIE, GLM), regional data centers (Singapore, Japan, Thailand), multi-language docs
Knowledge Management: 90+ language support with real-time cloud sync (Google Drive, Notion, Microsoft Word) and automated website refresh via sitemap crawling
Lead Generation: Claimed 300% lead growth with CRM deep integration, automatic qualification, and human handoff with conversation summarization
Complex Workflows: MultiAgent architecture with specialized AI roles collaborating on sophisticated multi-step dialogues and task delegation
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
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)
Automatic Tier Upgrades: Exceeding limits for 2 consecutive months triggers automatic upgrade and billing adjustment
Enterprise-Gated Features: AI Answers, Mobile SDKs, SAML SSO, white-labeling all require Enterprise plan
Average Enterprise Contract: ~$39,000 annually according to Vendr procurement data
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
Documentation Hub: Comprehensive at gptbots.ai/docs with endpoint references, parameter tables, curl examples for technical implementation
Multi-Language Documentation: English, Chinese, Japanese, Spanish, Thai language support for global developer and user base
Testing Resources: Postman Collections provided for API testing but no interactive playground available for hands-on experimentation
Active Development: Changelog shows 11+ major releases in 2025 with continuous platform improvements and feature additions
Enterprise Support Tier: AI project consulting, implementation services, custom SLA guarantees included with Enterprise plan
Community Support: Available for free and lower-tier plans with standard response times and community resources
Pre-Built Templates: Customer support, lead generation, appointment scheduling, order handling agent templates for rapid deployment
Debug Features: Preview functionality and Retrieval Test feature for pre-deployment validation and quality assurance
Parent Company Backing: Aurora Mobile Limited (NASDAQ: JG) provides financial stability with RMB 316.17M in 2024 revenue
Partnership Ecosystem: Qatar Science & Technology Park, documented enterprise customers (GP Batteries, Meta Dot Limited, REDtone Digital Berhad)
G2 Feedback Concerns: Documentation gaps cited by 7 reviewers, limited Spanish support noted by 6 reviewers as areas for improvement
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
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
Real-Time Knowledge Updates: Always available manual retraining with webhook refresh capability for automated knowledge syncing
Automatic Knowledge Sync: Webhook triggers enable real-time knowledge base updates when external systems change (API integration required)
Identity Prompts & Persona Configuration: Provide clear instructions to chatbot including defining role, listing tasks to perform, shaping tone and style to match brand voice, setting boundaries to guide responses
Customizable Personality Traits: Train chatbot with specific personality traits and behaviors aligning with brand ensuring bot consistently delivers responses reflecting intended character
Agent-Level Customization: Configurable tone, behavior, and response style per agent type with context-aware customization for specialized roles
Multi-Agent Specialization: Create specialized AI roles with unique expertise for complex task collaboration and domain-specific optimization
Knowledge Isolation: Agent-level knowledge base separation with cross-agent duplication support for shared content and modular knowledge management
Personalization System: Customize attributes controlling user preference and past activity and behavioral data for tailored interactions
Dynamic Context Management: Priority system for Long-term Memory, Short-term Memory, Identity Prompts, User Question, Tools Data, Knowledge Data with automatic truncation
Flow-Agent Visual Orchestration: Visual process design for complex workflows with no-code configuration and AI-free AI Agent setup
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
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.
Additional Considerations
Cost Considerations: High entry price $649/month Business tier vs competitors offering sub-$100 options - expensive for small businesses and startups
Credit System Complexity: Multi-dimensional consumption (LLM, TTS, ASR, embedding, parsing, storage) requires careful forecasting vs simple pricing models
Integration Technical Expertise: Integrating with existing systems may require technical expertise despite user-friendly no-code platform for basic use
Learning Curve for Advanced Features: Some users may require time to fully utilize advanced features though comprehensive features suitable for businesses of all sizes
Documentation Gaps: G2 reviews cite incomplete documentation (7 mentions) and limited Spanish support (6 mentions) as friction points for adoption
Performance Claims Unvalidated: 95% resolution, 90% issue reduction, 50%+ cost savings are self-reported without third-party validation (Gartner/Forrester)
No Published Benchmarks: Absence of RAGAS scores, latency measurements, or analyst coverage creates transparency gap for enterprise evaluation
Free Tier Limitations: 3 requests/minute rate limit severely limits testing and prevents meaningful small-scale production deployment
Mid-Tier Market Position: Ranks 223rd among 1,893 AI competitors (Tracxn) indicating mid-tier presence vs established market leaders
Comprehensive Platform Strength: More than just chatbot/Agent builder - full-stack enterprise AI platform tailored to companies needing secure, scalable, deeply customized AI agents
End-to-End Services: Provides deployment and maintenance services with AI delivery, agent building, private deployment, and AI project consulting
Best For: Businesses of all sizes from startups to enterprises needing comprehensive no-code AI agent platform with multimedia support and omni-channel integration
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)
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.
Limitations & Considerations
NO Official Language SDKs: CRITICAL GAP - Only REST API available, no Python/JavaScript/Go SDKs limiting developer adoption vs SDK-first competitors
iOS/Android WebView Only: Mobile integration limited to Swift (iOS) and Java (Android) WebView bridges, not full native SDK functionality
Free Tier Constraints: 3 requests/minute rate limit severely limits testing and prevents meaningful small-scale production deployment
High Entry Price: $649/month Business tier significantly higher than competitors offering sub-$100 options creating SMB adoption barrier
Credit System Complexity: Multi-dimensional consumption (LLM, TTS, ASR, embedding, parsing, storage) requires careful forecasting vs simple pricing
Performance Claims Unvalidated: 95% resolution, 90% issue reduction, 50%+ cost savings are self-reported without third-party validation (Gartner/Forrester)
No Published Benchmarks: Absence of RAGAS scores, latency measurements, or analyst coverage creates transparency gap for enterprise evaluation
Documentation Gaps: G2 reviews cite incomplete documentation (7 mentions) and limited Spanish support (6 mentions) as friction points
SOC 2 Ambiguity: Referenced in positioning but certification details not prominently documented requiring explicit enterprise verification
HIPAA Absence: No mention of HIPAA compliance blocking healthcare use cases requiring protected health information handling
Market Position: Ranks 223rd among 1,893 AI competitors (Tracxn) indicating mid-tier presence vs established market leaders
Update Cadence Trade-off: Private deployment offers 1-4 updates/year vs monthly public cloud releases - stability vs feature velocity choice
NOT a RAG-as-a-Service Platform: Fundamentally a knowledge base tool with embedded AI—not a flexible RAG backend
AI Answers Enterprise-Gated: Core AI capabilities require expensive Enterprise plan (~$39K/year)—not available on $249/month Small Business tier
Undisclosed AI Model: No transparency on LLM provider—users cannot select or customize models
Limited Data Source Flexibility: PDF, public web, Zendesk only—missing Google Drive, Dropbox, Notion, SharePoint, YouTube
No Automatic Content Syncing: Manual updates through visual editor—no real-time integration with external knowledge sources
Missing Consumer Messaging: No Slack, WhatsApp, Telegram, Microsoft Teams native integrations (confirmed by user reviews)
No Omnichannel Messaging: Primarily website embedding and help desk integration—limited multi-channel support
Cannot Edit on Mobile: Guide creation and editing restricted to desktop—mobile limitation for on-the-go teams
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
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 Knowledge Base Features
N/A
Interactive step-by-step guides with visual flow builder
Note: Available only as paid Enterprise add-on - not included in Small Business plan
Generative AI responses grounded in Stonly guides, external websites, and selected PDFs
20 AI Profiles per team: Define tone, boundaries, and behavior
100 Custom Instructions per team: Detailed response rules
Guided AI Answers: Predefined responses for specific questions
Confidence-based fallback: Automatically switches to ML-powered search when AI confidence is low
71% self-serve success rate achieved with AI Answers
Hallucination reduction: Knowledge-grounding approach vs generic chatbots
N/A
Core Agent Features
N/A
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
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
After analyzing features, pricing, performance, and user feedback, both GPTBots.ai and Stonly are capable platforms that serve different market segments and use cases effectively.
When to Choose GPTBots.ai
You value unmatched multi-llm selection: 30+ models across openai, anthropic, google, deepseek, meta, mistral, chinese llms
Dynamic model switching mid-conversation enables cost/quality optimization per task
ISO 27001/27701 certified with GDPR compliance - rare for AI platforms
Best For: Unmatched multi-LLM selection: 30+ models across OpenAI, Anthropic, Google, DeepSeek, Meta, Mistral, Chinese LLMs
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
Migration & Switching Considerations
Switching between GPTBots.ai and Stonly 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
GPTBots.ai starts at custom pricing, while Stonly begins at $249/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 GPTBots.ai and Stonly 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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