What are the main differences between SciPhi R2R and SiteGPT?

SciPhi R2R excels in State-of-the-art retrieval accuracy and Open-source with strong community, scoring 89/100 in user ratings with 92% accuracy. SiteGPT leads in Extremely easy setup - minutes to launch and Excellent website content training capabilities with 86/100 overall rating and 86% accuracy. Key technical difference: SciPhi R2R focuses on Multimodal ingestion (.pdf, .json, .png, .mp3, etc.) while SiteGPT emphasizes Website content training. Pricing differs by $49/month.

Which is better for enterprises: SciPhi R2R or SiteGPT?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, SciPhi R2R supports on-premise deployment for maximum control. SciPhi R2R leads with 89/100 enterprise readiness score (83/100 enterprise features).

How much does SciPhi R2R cost vs SiteGPT?

SciPhi R2R starts at custom pricing/monthly (freemium model), while SiteGPT begins at $49/monthly (freemium model). SciPhi R2R offers a free tier, and free trials are available. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from SiteGPT to SciPhi R2R?

Migration from SiteGPT to SciPhi R2R typically requires API-based data export/import, which SciPhi R2R provides. SciPhi R2R provides comprehensive API access excellent documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact SciPhi R2R support for migration assistance and best practices.

What integrations do SciPhi R2R and SiteGPT support?

SciPhi R2R integrates with OpenAI, Anthropic Claude, Local LLMs, PostgreSQL, S3 storage (10 integrations total). SiteGPT supports Zendesk, Intercom, Crisp, Slack, WordPress (9 integrations available). Both offer REST APIs for custom integrations. SciPhi R2R offers 11% more integrations, with webhook support for real-time data sync.

What are the main differences between SciPhi and SiteGPT?

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

Which is better for enterprises: SciPhi or SiteGPT?

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

How much does SciPhi cost vs SiteGPT?

SciPhi starts at custom pricing/month (subscription model), while SiteGPT 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 SciPhi to SiteGPT?

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

What integrations do SciPhi and SiteGPT support?

SciPhi integrates with (multiple platforms). SiteGPT supports (various tools). API availability varies by plan. Integration coverage is comparable.

SciPhi vs SiteGPT

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

More about SiteGPT More about SciPhi 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 SciPhi and SiteGPT 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 SciPhi and SiteGPT, 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 SciPhi if: you value state-of-the-art retrieval accuracy
Choose SiteGPT if: you value extremely easy setup - minutes to launch

About SciPhi

SciPhi is the most advanced ai retrieval system. R2R is a production-ready AI retrieval system supporting Retrieval-Augmented Generation with advanced features including multimodal ingestion, hybrid search, knowledge graphs, and a Deep Research API for multi-step reasoning across documents and the web. Founded in 2023, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

89/100

Starting Price

Custom

About SiteGPT

SiteGPT is make ai your expert customer support agent. SiteGPT is an AI chatbot solution that instantly answers visitor questions with a personalized chatbot trained on your website content. It's like having ChatGPT specifically for your products, offering 24/7 automated customer support with seamless integrations into existing support platforms. Founded in 2022, headquartered in Remote, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

86/100

Starting Price

$49/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, SciPhi starts at a lower price point. The platforms also differ in their primary focus: RAG Platform 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

SciPhi	SiteGPT	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Handles 40 + formats—from PDFs and spreadsheets to audio—at massive scale Reference. Async ingest auto-scales, crunching millions of tokens per second—perfect for giant corpora Benchmark details. Ingest via code or API, so you can tap proprietary databases or custom pipelines with ease.	Website Crawling – Entire sites by URL/sitemap with thousands of pages File Uploads – CSV, TXT, PDF, DOCX, PPTX, Markdown up to 10MB Cloud Storage Connectors – Google Drive, Dropbox, OneDrive, Notion, Confluence, GitBook Enterprise Scale – Up to 100K pages on Enterprise tier Manual Retraining – ⚠️ Click-button refresh, automated cycles on roadmap	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
Ships a REST RAG API—plug it into websites, mobile apps, internal tools, or even legacy systems. No off-the-shelf chat widget; you wire up your own front end API snippet.	Native Connectors – Slack, Google Chat, Messenger, Crisp, Freshchat, Zendesk, Zoho Website Embed – Quick script or iframe for any site Webhook Support – Higher tiers add event-driven integrations	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
Core RAG engine serves retrieval-grounded answers; hook it to your UI for multi-turn chat. Multi-lingual if the LLM you pick supports it. Lead-capture or human handoff flows are yours to build through the API.	Multi-Turn Q&A – Conversation history visible in admin dashboard 95+ Languages – Global audience support out-of-box Lead Capture – Automatic collection during chat sessions Human Handoff – Built-in escalation to live agents Sentiment Tracking – Real-time conversation metrics and performance	✅ #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
Fully bespoke—design any UI you want and skin it to match your brand. SciPhi focuses on the back end, so front-end look-and-feel is entirely up to you.	No-Code Dashboard – Swap logos, colors, welcome text in seconds White-Label Option – Remove SiteGPT branding for clean look Preset Personas – Set tone and voice per bot	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
LLM-agnostic—GPT-4, Claude, Llama 2, you choose. Pick, fine-tune, or swap models anytime to balance cost and performance Model options.	GPT-4o-mini – Fast mode for speed-optimized responses GPT-4o – Accurate mode for deeper comprehensive answers Per-Chatbot Selection – Choose mode balancing speed vs depth OpenAI Only – ⚠️ No Claude, Gemini, or custom models	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 plus a Python client (`R2RClient`) handle ingest and query tasks Docs and GitHub repos offer deep dives and open-source starter code SciPhi GitHub.	REST API – Bot management, content uploads, answer retrieval Persona Management – Configure Quick Prompts and Personas via API No Multi-Language SDKs – ⚠️ REST only, straightforward integration	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
Hybrid search (dense + keyword) keeps retrieval fast and sharp. Knowledge-graph boosts (HybridRAG) drive up to 150 % better accuracy Sub-second latency—even at enterprise scale.	RAG Foundation – Keeps answers factual and grounded in content Fast vs Accurate Modes – Choose speed or depth per use case Fallback Handling – Graceful replies and handoff for edge cases	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 ( Behavior & Knowledge)
Add new sources, tweak retrieval, mix collections—everything’s programmable. Chain API calls, re-rank docs, or build full agentic flows	One-Click Retrain – Upload files or re-crawl site without tech skills Personas & Prompts – Steer conversation style with templates Multiple Chatbots – Run separate bots per team or dataset	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
Pricing & Scalability
Free tier plus a $25/mo Dev tier for experiments. Enterprise plans with custom pricing and self-hosting for heavy traffic Pricing.	Growth Plan – ~$79/month with basic features and GPT-3.5 Pro/Scale Plan – ~$259/month with GPT-4 and higher limits Enterprise Tier – Custom pricing for 100K+ pages and white-label Scalable Limits – Message counts, bots, pages scale with tier	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
Customer data stays isolated in SciPhi Cloud; self-host for full control. Standard encryption in transit and at rest; tune self-hosted setups to meet any regulation.	HTTPS/TLS Encryption – Industry-standard transit security Encrypted Storage – Data at rest protection Workspace Isolation – Data stays in your workspace No Formal Certifications – ⚠️ SOC 2, ISO 27001, HIPAA not disclosed	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
Dev dashboard shows real-time logs, latency, and retrieval quality Dashboard. Hook into Prometheus, Grafana, or other tools for deep monitoring.	Analytics Dashboard – Chat histories, trends, metrics in one place Daily Email Digests – Team updates without logging in	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
Community help via Discord and GitHub; Enterprise customers get dedicated support Open-source core encourages community contributions and integrations.	Email Support – Submit requests for technical assistance Feature Request Form – Dedicated channel for integrations/features Active Blog – Product updates and best practices Agency Partner Program – Growing ecosystem for resellers	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
Core Agent Features
Agentic RAG – Reasoning agent for autonomous research across documents/web with multi-step problem solving Advanced Toolset – Semantic search, metadata search, document retrieval, web search, web scraping capabilities Multi-Turn Context – Stateful dialogues maintaining conversation history via conversation_id for follow-ups Citation Transparency – Detailed responses with source citations for fact-checking and verification ⚠️ No Pre-Built UI – API-first platform requires custom front-end development ⚠️ No Lead Analytics – Lead capture and dashboards must be implemented at application layer	Multi-Turn Conversation – History tracking for context-aware interactions Sentiment Tracking – Real-time analysis and performance metrics Lead Collection – Automatic capture with industry templates Human Handoff – Built-in escalation workflows to live agents Functions Framework – Trigger tickets, CRM updates from chat Multi-Channel Integrations – Slack, Messenger, Zendesk, Freshchat connectors	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
Additional Considerations
Advanced extras like GraphRAG and agentic flows push beyond basic Q&A Great fit for enterprises needing deeply customized, fully integrated AI solutions.	Functions Feature – Trigger actions like tickets directly from chat SourceSync API – Headless RAG backend for developer control	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
No- Code Interface & Usability
No no-code UI—built for devs to wire into their own front ends. Dashboard is utilitarian: good for testing and monitoring, not for everyday business users.	Guided Dashboard – Paste URL or upload files, launch in minutes Pre-Built Integrations – Copy-paste embed snippet for deployment 7-Day Free Trial – Test risk-free with live demo	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
Competitive Positioning
Market position – Developer-first RAG infrastructure combining open-source flexibility with managed cloud service Target customers – Dev teams needing high-performance RAG, enterprises requiring millions tokens/second ingestion Key competitors – LangChain/LangSmith, Deepset/Haystack, Pinecone Assistant, custom RAG implementations Competitive advantages – HybridRAG (150% accuracy boost), async auto-scaling, 40+ formats, sub-second latency Pricing advantage – Free tier + $25/mo Dev plan; open-source foundation enables cost optimization Use case fit – Massive document volumes, advanced RAG needs, self-hosting control requirements	Market Position – No-code RAG chatbot for SMB customer service Target Customers – Small/mid-size businesses needing quick deployment Key Competitors – Chatbase.co, Botsonic, Ragie.ai, WonderChat Advantages – Comprehensive crawling (100K pages), native multi-channel, Functions feature Best For – Website-based chatbots, multi-channel support, no-code setup	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
LLM-Agnostic Architecture – GPT-4, GPT-3.5, Claude, Llama 2, and other open-source models Model Flexibility – Easy swapping to balance cost/performance without vendor lock-in Custom Support – Configure any LLM via API including fine-tuned or proprietary models Embedding Providers – Multiple embedding options for semantic search and vector generation ✅ Full control over temperature, max tokens, and generation parameters	GPT-4o Full Model – Flagship multimodal for deeper reasoning GPT-4o-mini – Faster cost-optimized variant for high volume GPT-3.5-turbo – Default for lower-tier plans No Custom Models – ⚠️ Limited to OpenAI models only	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
HybridRAG Technology – Vector search + knowledge graphs for 150% accuracy improvement Hybrid Search – Dense vector + keyword with reciprocal rank fusion Agentic RAG – Reasoning agent for autonomous research across documents and web Multimodal Ingestion – 40+ formats (PDFs, spreadsheets, audio) at massive scale ✅ Millions of tokens/second async auto-scaling ingestion throughput ✅ Sub-second latency even at enterprise scale with optimized operations	Website Crawling – Thousands of pages in single operation RAG Architecture – Grounds responses in uploaded/crawled content File Support – CSV, TXT, PDF, DOCX, PPTX, Markdown (10MB limit) Multi-Turn Context – Conversation history for coherent interactions Manual Retraining – ⚠️ No auto-sync, click to update	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 Knowledge – Process millions of documents with knowledge graph relationships Support Automation – RAG-powered support bots with accurate, grounded responses Research & Analysis – Agentic RAG for autonomous research across collections and web Compliance & Legal – Large document repositories with precise citation tracking Internal Docs – Developer-focused RAG for code, API references, technical knowledge Custom AI Apps – API-first architecture integrates into any application or workflow	Customer Support Automation – 24/7 answers reducing ticket volume Website Knowledge Conversion – Rapid chatbot from existing content Multi-Channel Support – Unified bot across Slack, Messenger, Zendesk Lead Generation – Automatic capture with CRM webhooks Global Support – 95+ languages for worldwide service	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
Data Isolation – Single-tenant architecture with isolated customer data in SciPhi Cloud Self-Hosting Option – On-premise deployment for complete data control in regulated industries Encryption Standards – TLS in transit, AES-256 at rest encryption Access Controls – Document-level granular permissions with role-based access control (RBAC) ✅ Open-source R2R core enables security audits and compliance validation ✅ Self-hosted deployments tunable for HIPAA, SOC 2, and other regulations	HTTPS/TLS – Encryption for data in transit Encrypted Storage – Data at rest protection Workspace Isolation – Customer data separated No Compliance Docs – ⚠️ SOC 2, HIPAA not publicly disclosed	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
Free Tier – Generous no-credit-card tier for experimentation and development Developer Plan – $25/month for individual developers and small projects Enterprise Plans – Custom pricing based on scale, features, and support Self-Hosting – Open-source R2R available free (infrastructure costs only) ✅ Flat subscription pricing without per-query or per-document charges ✅ Managed cloud handles infrastructure, deployment, scaling, updates, maintenance	Growth $79/mo – Website crawling, file uploads, GPT-3.5 Pro/Scale $259/mo – GPT-4, higher limits, webhooks Enterprise Custom – 100K+ pages, white-label, dedicated support 7-Day Free Trial – Risk-free evaluation without credit card	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
Comprehensive Docs – Detailed docs at r2r-docs.sciphi.ai covering all features and endpoints GitHub Repository – Active open-source development at github.com/SciPhi-AI/R2R with code examples Community Support – Discord community and GitHub issues for peer support Enterprise Support – Dedicated channels for enterprise customers with SLAs ✅ Python client (R2RClient) with extensive examples and starter code ✅ Developer dashboard with real-time logs, latency, and retrieval quality metrics	Email Support – Technical assistance and feature questions REST API Docs – API reference for developers Active Blog – Product updates and use cases Guided Dashboard – Tooltips and onboarding for new users	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
R A G-as-a- Service Assessment
Platform Type – HYBRID RAG-AS-A-SERVICE combining open-source R2R with managed SciPhi Cloud Core Mission – Bridge experimental RAG models to production-ready systems with deployment flexibility Developer Target – Built for OSS community, startups, enterprises emphasizing developer flexibility and control RAG Leadership – HybridRAG (150% accuracy), millions tokens/second, 40+ formats, sub-second latency ✅ Open-source R2R core on GitHub enables customization, portability, avoids vendor lock-in ⚠️ NO no-code features – No chat widgets, visual builders, pre-built integrations or dashboards	NO-CODE CHATBOT BUILDER – SMB-focused platform emphasizing rapid deployment Core Mission – Quick website-to-chatbot conversion with multi-channel support Target Market – SMB support teams, not developer/RAG infrastructure market RAG Implementation – Grounding responses in content, fallback handling Managed SaaS – Guided dashboard, pre-built integrations, 7-day trial Not Pure RAG-as-a-Service – ⚠️ Combines chatbot building with RAG	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
Limitations & Considerations
⚠️ Developer-Focused – Requires technical expertise to build and wire custom front ends ⚠️ Infrastructure Requirements – Self-hosting needs GPU infrastructure and DevOps expertise ⚠️ Integration Effort – API-first design means building your own chat UI ⚠️ Learning Curve – Advanced features like knowledge graphs require RAG concept understanding ⚠️ Community Support Limits – Open-source support relies on community unless enterprise plan	OpenAI-Only – ⚠️ No Claude, Gemini, Llama, or custom models Manual Retraining – ⚠️ No automatic content syncing yet 10MB File Limit – ⚠️ Per-file cap may constrain large docs No Compliance Certs – ⚠️ May limit enterprise adoption No Advanced RAG – ⚠️ Missing hybrid search, knowledge graphs Cloud-Only – ⚠️ No self-hosting for air-gapped environments	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

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Final Thoughts

Final Verdict: SciPhi vs SiteGPT

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

When to Choose SciPhi

You value state-of-the-art retrieval accuracy
Open-source with strong community
Production-ready with proven scalability

Best For: State-of-the-art retrieval accuracy

When to Choose SiteGPT

You value extremely easy setup - minutes to launch
Excellent website content training capabilities
Seamless integration with major support platforms

Best For: Extremely easy setup - minutes to launch

Migration & Switching Considerations

Switching between SciPhi and SiteGPT 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

SciPhi starts at custom pricing, while SiteGPT 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 SciPhi and SiteGPT 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 23, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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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.

SciPhi vs SiteGPT