What are the main differences between Coveo and SearchUnify?

Coveo excels in Comprehensive enterprise search capabilities and Strong e-commerce and B2B features, scoring 82/100 in user ratings with 84% accuracy. SearchUnify leads in G2 Leader for 21 consecutive quarters (5+ years) in Enterprise Search - exceptional market validation vs newer RAG startups and Proprietary FRAG™ architecture specifically designed for hallucination mitigation with 3-layer federation, retrieval, augmented generation with 84/100 overall rating and N/A% accuracy. Key technical difference: Coveo focuses on AI-powered enterprise search while SearchUnify emphasizes Federated RAG (FRAG™): Proprietary 3-layer architecture (Federation, Retrieval, Augmented Generation) for hallucination mitigation across 100+ enterprise sources.

Which is better for enterprises: Coveo or SearchUnify?

Coveo offers SOC 2 compliance for enterprise security. HIPAA compliance is available in Coveo. For scalability, both offer cloud-based deployment options. SearchUnify leads with 84/100 enterprise readiness score.

How much does Coveo cost vs SearchUnify?

Coveo starts at custom pricing/custom (enterprise model), while SearchUnify begins at contact sales/month (enterprise model). Both require paid plans, and free trials are available. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Coveo to SearchUnify?

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

What integrations do Coveo and SearchUnify support?

Coveo integrates with Salesforce (deep integration), Adobe Experience Manager, SAP Commerce Cloud, ServiceNow, Microsoft 365 (12 integrations total). SearchUnify supports Native search clients: Salesforce Service Console/Communities, ServiceNow, Zendesk Support/Help Center, Khoros Aurora/Classic, Slack, Marketplace presence: Salesforce AppExchange (Summit Partner), ServiceNow Store, Microsoft AppSource, Embedding: JavaScript widget, custom React/Handlebars components (Khoros), native widgets (Salesforce/ServiceNow consoles), SearchUnifyGPT™ Answer Box: LLM answers above traditional search with inline citations, Webhooks: Real-time sync and SUVA integration with external applications (8 integrations available). Both offer REST APIs for custom integrations. Coveo offers 50% more integrations, with webhook support for real-time data sync.

What are the main differences between Coveo and SearchUnify?

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

Which is better for enterprises: Coveo or SearchUnify?

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

How much does Coveo cost vs SearchUnify?

Coveo starts at custom pricing/month (subscription model), while SearchUnify 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 Coveo to SearchUnify?

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

What integrations do Coveo and SearchUnify support?

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

Coveo vs SearchUnify

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

More about SearchUnify More about Coveo 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 Coveo and SearchUnify 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 Coveo and SearchUnify, 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 Coveo if: you value comprehensive enterprise search capabilities
Choose SearchUnify if: you value g2 leader for 21 consecutive quarters (5+ years) in enterprise search - exceptional market validation vs newer rag startups

About Coveo

Coveo is ai-powered search and personalization for digital experiences. Coveo is an enterprise AI platform that delivers intelligent search, recommendations, and personalization across commerce, customer service, workplace, and website applications using machine learning and behavioral analytics. Founded in 2005, headquartered in Quebec City, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

82/100

Starting Price

Custom

About SearchUnify

SearchUnify is ai-powered unified enterprise search and knowledge management. Enterprise cognitive search platform with proprietary Federated RAG (FRAG™) architecture, 100+ pre-built connectors, and mature Salesforce integration. G2 Leader for 21 consecutive quarters (5+ years). Parent company Grazitti Interactive (founded 2008) maintains SOC 2 Type 2 + ISO 27001 + HIPAA compliance. BYOLLM flexibility supports OpenAI, Azure, Google Gemini, Hugging Face, custom models. Critical gaps: NO WhatsApp/Telegram messaging, NO public pricing (AWS Marketplace: $0.01-$0.025/request), NO Zapier integration. Enterprise search heritage vs RAG-first positioning. Founded in 2008 (Grazitti), SearchUnify product launched ~2012, headquartered in Panchkula, India / San Jose, CA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

84/100

Starting Price

Custom

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: Enterprise Search versus Enterprise Search. 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

Coveo	SearchUnify	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
100+ Native Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, file shares, Slack, websites merged into one index OCR & Structured Data – Indexes scanned docs, intranet pages, knowledge articles, multimedia content Real-Time Sync – Incremental crawls, push APIs, scheduled syncs keep content fresh	35+ content parsers – PDF, DOC, DOCX, PPT, CSV, TXT, XSL with 12MB size limit per document 100+ pre-built connectors – Salesforce, ServiceNow, Zendesk, SharePoint, Confluence, Google Drive YouTube indexing – Channel/playlist/video-level with timestamped transcript search Auto-sync – 15-minute to manual intervals, webhook-based real-time for Box, Docebo ⚠️ No Notion integration – Notable gap vs competitors supporting Notion knowledge bases ⚠️ 12MB document limit – May constrain large PDF processing	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
Atomic UI Components – Drop-in components for search pages, support hubs, commerce sites with generative answers Native Platform Integrations – Salesforce, Sitecore with AI answers inside existing tools REST APIs – Build custom chatbots, virtual assistants on Coveo's retrieval engine	Native search clients – Salesforce Service Console, ServiceNow, Zendesk, Khoros, Slack Salesforce Summit Partner – Highest tier with AppExchange, native UX integration RESTful API – OAuth 2.0, Swagger docs, three official SDKs (JS, Python, Java) ⚠️ No consumer messaging – NO WhatsApp, Telegram, Facebook Messenger ⚠️ No Zapier – Significant gap for no-code automation vs 7,000+ app competitors	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
Uses Relevance Generative Answering (RGA)—a two-step retrieval plus LLM flow that produces concise, source-cited answers. Respects permissions, showing each user only the content they’re allowed to see. Blends the direct answer with classic search results so people can dig deeper if they want.	N/A	✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI ✅ Source citations – Every response includes clickable links to original documents ✅ 93% resolution rate – Handles queries autonomously, reducing human workload ✅ 92 languages – Native multilingual support without per-language config ✅ Lead capture – Built-in email collection, custom forms, real-time notifications ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
Atomic components are fully styleable with CSS, making it easy to match your brand’s look and feel. You can tweak answer formatting and citation display through configs; deeper personality tweaks mean editing the prompt.	Theme editor – Colors, fonts, icons, messaging without code NLP Manager – Synonyms, acronyms, keywords per language Visual search tuning – Boost/downgrade rankings via admin UI Temperature controls – Per-persona, use case, audience type	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
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generation Bring Your Own LLM – Relevance-Augmented Passage Retrieval API supports custom models Auto-Tuning – Handles model tuning, prompt optimization; API override available	BYOLLM architecture – Avoid vendor lock-in with flexible model selection Claude via Bedrock – 14-day trial, OpenAI, Azure OpenAI, Google Gemini Hugging Face support – Open-source models for custom deployments Multiple connections – Connect providers simultaneously with failover ⚠️ No auto routing – Manual configuration vs query complexity-based routing	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 APIs & SDKs – Java, .NET, JavaScript for indexing, connectors, querying UI Components – Atomic and Quantic components for fast front-end integration Enterprise Documentation – Step-by-step guides for pipelines, index management	Three official SDKs – JavaScript (su-sdk), Python (searchunify), Java (Maven) MCP support – su-mcp library for Claude Desktop and LLM tooling RESTful API v2 – Swagger docs, OAuth 2.0 (4-hour access, 14-day refresh tokens) ⚠️ Rate limits unclear – Requires community documentation access ⚠️ No API versioning policy – Potential breaking change risk	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
Pairs keyword search with semantic vector search so the LLM gets the best possible context. Reranking plus smart prompts keep hallucinations low and citations precise. Built on a scalable architecture that handles heavy query loads and massive content sets.	120-second analytics – Near real-time dashboard refresh FRAG™ mitigation – 3-layer architecture reduces hallucinations Customer results – Accela 99.7% cost savings, Cornerstone 98% self-service YouTube timestamps – Transcript search returns exact audio segments	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)
Fine-tune which sources and metadata the engine uses via query pipelines and filters. Integrates with SSO/LDAP so results are tailored to each user’s permissions. Developers can tweak prompt templates or inject business rules to shape the output.	N/A	Live content updates – Add/remove content with automatic re-indexing System prompts – Shape agent behavior and voice through instructions Multi-agent support – Different bots for different teams Smart defaults – No ML expertise required for custom behavior
Pricing & Scalability
Enterprise Licensing – Pricing based on sources, query volume, features 99.999% Uptime – Scales to millions of queries, regional data centers Annual Contracts – Volume tiers with optional premium support	N/A	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
ISO 27001/27018, SOC 2 – Plus HIPAA-compatible deployments available Permission-Aware – Granular access controls, users see only authorized content Private Cloud/On-Prem – Deployment options for strict data-residency requirements	N/A	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
Analytics Dashboard – Tracks query volume, engagement, generative-answer performance Pipeline Logs – Exportable for deeper analysis and troubleshooting A/B Testing – Query pipeline experiments to measure impact, fine-tune relevance	30+ pre-built metrics – Search performance, conversion tracking, content gaps Actionable Insights – AI-generated plain-English recommendations SUVA metrics – Deflection rate, handover, CSAT, LLM token usage Admin activity logs – 30-day retention with CSV export	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
Enterprise Support – Account managers, 24/7 help, extensive training programs Partner Network – Coveo Connect community with docs, forums, certified integrations Regular Updates – Product releases and industry events for latest trends	SearchUnify Academy – Free training with certifications 97-98% G2 satisfaction – "Ease of Doing Business With" rating G2 Leader – 21 consecutive quarters in Enterprise Search Enterprise support – Phone, email, chat with dedicated account managers	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
Additional Considerations
Coveo goes beyond Q&A to power search, recommendations, and discovery for large digital experiences. Deep integration with enterprise systems and strong permissioning make it ideal for internal knowledge management. Feature-rich but best suited for organizations with an established IT team to tune and maintain it.	✅ 100+ connectors – Reduced integration effort, 7-14 day deployment ✅ FRAG™ architecture – Enterprise hallucination mitigation ✅ Salesforce Summit – Deepest native integration available ⚠️ Cloud-only – No on-premise/air-gapped option ⚠️ No public pricing – Requires sales engagement ⚠️ No consumer messaging – WhatsApp, Telegram, Zapier absent	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
Admin Console – Atomic components enable minimal-code starts ⚠️ Developer Involvement – Full generative setup requires technical resources Best For – Teams with existing IT resources, more complex than pure no-code	97-98% G2 usability – Consistently high "Ease of Use" ratings Visual configuration – OAuth flows, content sources via admin UI Drag-and-drop – Salesforce Console search client components SUVA Agent Builder – Visual config for up to 5 agents per instance	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 – Enterprise AI-powered search/discovery with RGA for large-scale knowledge management Target Customers – Large enterprises with complex content (SharePoint, Salesforce, ServiceNow, Confluence) needing permission-aware search Key Competitors – Azure AI Search, Vectara.ai, Glean, Elastic Enterprise Search Competitive Advantages – 100+ connectors, hybrid search, permission-aware results, 99.999% uptime SLA Pricing – Enterprise licensing higher than SaaS chatbots; best value for unified search across massive content Use Case Fit – Knowledge hubs, support portals, commerce sites with generative answers	G2 + IDC + Forrester – Leader 21 quarters, MarketScape Major Player 100+ connectors – Reduced integration effort vs custom connector platforms Salesforce Summit – Native UX integration vs API-only competitors ⚠️ Cloud-only – No on-premise/air-gapped deployment ⚠️ No consumer messaging – Enterprise support channels only	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
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generation Model Flexibility – Relevance-Augmented Passage Retrieval API supports custom LLMs Auto-Tuning – Handles model tuning, prompt optimization automatically; API override available Search Integration – LLM tightly integrated with keyword + semantic search pipeline	BYOLLM – Claude (Bedrock), OpenAI, Azure, Gemini, Hugging Face Multiple connections – Simultaneous providers with activation toggles Temperature controls – Per-persona creativity adjustment Failover mechanisms – Automatic when primary LLMs unavailable	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
RGA (Relevance Generative Answering) – Two-step retrieval + LLM producing source-cited answers Hybrid Search – Keyword + semantic vector search for optimal LLM context Reranking & Smart Prompts – Keeps hallucinations low, citations precise Permission-Aware – SSO/LDAP integration shows only authorized content per user Query Pipelines – Fine-tune sources, metadata, filters for retrieval control 99.999% Uptime – Scalable architecture for heavy query loads, massive content sets	FRAG™ 3-layer – Federation + Retrieval + Augmented Generation Hybrid search – Full-text + vector + ML re-ranking combined Multi-repository – Docs, forums, LMS, CRM unified retrieval Hallucination mitigation – Sensitive data removal before LLM transmission	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
Industries – Financial Services, Telecommunications, High-Tech, Retail, Healthcare, Manufacturing Internal Knowledge – Enterprise systems integration, permissioning for documentation, knowledge hubs Customer Support – Support hubs with generative answers from knowledge bases, ticket history Commerce Sites – Product search, recommendations, AI-powered discovery features Content Scale – Large distributed content across SharePoint, databases, file shares, Confluence, ServiceNow Team Sizes – Large enterprises with IT teams, millions of queries	Enterprise support – SUVA deflects tickets with federated knowledge Salesforce enhancement – Native Service Console and Communities integration Multi-system unification – 100+ sources consolidated (CRM, LMS, SharePoint) Training/LMS search – YouTube transcripts + Docebo + documentation unified	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
ISO 27001/27018, SOC 2 – International security, privacy standards for enterprises HIPAA-Compatible – Deployments available for healthcare compliance requirements Granular Access Controls – Permission-aware search, SSO/LDAP integration Private Cloud/On-Prem – Options for strict data-residency requirements 99.999% Uptime SLA – Regional data centers for mission-critical infrastructure	SOC 1/2/3 Type II – ISO 27001, ISO 27701, HIPAA, GDPR compliant Single-tenant – Customer data isolation, no cross-tenant leakage AES-256 + TLS 1.3 – Encryption at rest and in transit SSO integration – SAML 2.0 with Okta, Azure AD, OneLogin, Google FRAG security – Sensitive data removal before LLM transmission	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
Enterprise Licensing – $600 to $1,320 depending on sources, query volume, features Pro Plan – Entry-level with core search, RGA for smaller enterprises Enterprise Plan – Full-featured with advanced capabilities, higher volumes, premium support Annual Contracts – Volume tiers with optional premium support packages ⚠️ Consumption-Based – Pricing model can make costs hard to predict Best Value For – Unified search across massive content, millions of queries	⚠️ No public pricing – Requires enterprise sales engagement AWS Marketplace – 100K searches: $0.025/req, 200K: $0.015, 300K: $0.01 Unlimited connectors – Flat subscription, no per-connector fees 7-14 day deployment – Using pre-built connectors ⚠️ Annual escalation – Reviews note "guaranteed price increase every year"	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
Enterprise Support – Account managers, 24/7 help, guaranteed response times Partner Network – Certified integrations via Coveo Connect community Documentation – Step-by-step guides for pipelines, index management, connectors Training Programs – Admin console, Atomic components, developer integration Regular Updates – Product releases, industry events for latest trends	N/A	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
Limitations & Considerations
⚠️ Developer Involvement – Full generative setup requires technical resources ⚠️ Cost Predictability – Consumption-based pricing hard to predict for enterprise scale ⚠️ IT Team Needed – Best for organizations with established technical teams ⚠️ Enterprise Focus – Optimized for enterprises vs. SMBs or startups NOT Ideal For – Small businesses, plug-and-play chatbot needs, immediate no-code deployment	⚠️ No public pricing – Requires sales engagement, annual escalation clauses ⚠️ No consumer messaging – NO WhatsApp, Telegram, Messenger native ⚠️ No Zapier – Major gap for no-code automation workflows ⚠️ Cloud-only – No on-premise/air-gapped for regulated industries ⚠️ 12MB document limit – May constrain large PDF processing Best for – Salesforce-centric enterprises; not API-first developers	Managed service – Less control over RAG pipeline vs build-your-own Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source Real-time data – Requires re-indexing; not ideal for live inventory/prices Enterprise features – Custom SSO only on Enterprise plan
Core Agent Features
Agentic AI Integration – Coveo for Agentforce, expanded API suite, Design Partner Program (2024-2025) Agent API Suite – Search API, Passage Retrieval API, Answer API for grounding agents Salesforce Agentforce – Native integration for customer service, sales, marketing agents AWS RAG-as-a-Service – MCP Server for Amazon Bedrock AgentCore, Agents, Quick Suite (Dec 2024) Four Tools – Passage Retrieval, Answer gen (Amazon Nova), Search, Fetch Security-First – Inherits document/item-level permissions automatically for trusted answers	SUVA Virtual Assistant – "World's First Federated RAG Chatbot" analyzing 20+ attributes 35+ languages – Native Arabic, German, French, Mandarin with extended CSV config Human handoff – Escalation to Salesforce, Zendesk, Khoros with full context SearchUnifyGPT™ – LLM answers with inline citations above traditional search Up to 5 agents – Per instance deployable across portals	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
R A G-as-a- Service Assessment
Platform Type – Enterprise search with RAG-as-a-Service, Relevance Generative Answering (RGA) RAG Launch – AWS RAG-as-a-Service announced December 1, 2024 as cloud-native offering 40% Accuracy Improvement – RAG increases base model accuracy according to industry studies Hybrid Search – Keyword, vector, hybrid search with relevance tuning 100+ Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, Slack Best For – Enterprises with distributed content needing permission-aware search, knowledge hubs, generative answers	Platform type – ENTERPRISE COGNITIVE SEARCH with RAG, not pure RaaS 5+ years leadership – G2 Leader 21 quarters with RAG as enhancement FRAG™ differentiator – Proprietary federated architecture for enterprise Target users – Large enterprises with 100+ fragmented knowledge sources ⚠️ Not for developers – Not lightweight API-first RAG for SMBs	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
F R A G™ Architecture ( Core Differentiator)
N/A	Federated RAG – 3-layer framework for hallucination mitigation in enterprise retrieval Federation Layer – 360-degree context across 100+ connected sources simultaneously Retrieval Layer – Keyword matching + semantic similarity + vector search combined ✅ Multi-repository context – Docs, forums, LMS, CRM, tickets unified for comprehensive answers	N/A

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Final Thoughts

Final Verdict: Coveo vs SearchUnify

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

When to Choose Coveo

You value comprehensive enterprise search capabilities
Strong e-commerce and B2B features
Deep Salesforce integration

Best For: Comprehensive enterprise search capabilities

When to Choose SearchUnify

You value g2 leader for 21 consecutive quarters (5+ years) in enterprise search - exceptional market validation vs newer rag startups
Proprietary FRAG™ architecture specifically designed for hallucination mitigation with 3-layer federation, retrieval, augmented generation
100+ pre-built connectors dramatically reduce integration effort - Google Drive, Salesforce, ServiceNow, Zendesk, Slack, MS Teams, YouTube, Adobe AEM

Best For: G2 Leader for 21 consecutive quarters (5+ years) in Enterprise Search - exceptional market validation vs newer RAG startups

Migration & Switching Considerations

Switching between Coveo and SearchUnify 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

Coveo starts at custom pricing, while SearchUnify begins at custom pricing. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Coveo and SearchUnify comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements

Last updated: February 24, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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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.

Coveo vs SearchUnify