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Head-to-head · AI Search and Discovery Platforms Software

Google Vertex AI Search vs Coveo

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side

Google Vertex AI Search leads on 0 checks, Coveo on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGoogle Vertex AI Search · 9.1/10

Google Vertex AI Search scores higher on our rubric for ai search and discovery platforms software: 9.1 against 8.8 out of 10; our editors rank them #3 and #4.

Google Vertex AI Search is the better fit for google Cloud teams building grounded AI search. Coveo is the better fit for large enterprises unifying many content repositories.

  • Google Vertex AI Search fits best

    Google Cloud teams building grounded AI search

  • Coveo fits best

    Large enterprises unifying many content repositories

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Side by side

Feature Google Vertex AI Search 9.1/10 Visit ↗ Coveo 8.8/10 Visit ↗
At a glance
Editor score 9.1 8.8
Ranking #3 in AI Search and Discovery Platforms Software #4 in AI Search and Discovery Platforms Software
Best for Google Cloud teams building grounded AI search Large enterprises unifying many content repositories
Pricing model Paid Paid
Starting price $1/GB/mo Pricing on request
Free plan — Not checked yet
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Community, Docs Community, Docs
Integrations 5 integrations 30+ integrations
Built for Mid-market, Enterprise Enterprise
Features Google Vertex AI Search 0/4 · Coveo 0/4
Semantic search Not checked yet Not checked yet
Recommendations Not checked yet Not checked yet
Personalized results Not checked yet Not checked yet
Search analytics Not checked yet Not checked yet
Specs
Deployment Cloud Cloud
Connectable data sources Not checked yet Not checked yet
Our review
Pros
  • Searches websites, structured data, and unstructured documents
  • Combines keyword and semantic retrieval with filters and facets
  • Generates grounded answers with citations and supports personalization
  • Hybrid keyword, semantic, vector, and faceted retrieval
  • Connectors for major enterprise systems and custom applications
  • Generative answers, personalization, analytics, and relevance tuning
Cons
  • Paid service with query, storage, and throughput charges
  • Configurable query capacity has a 1,000-query-per-minute minimum
  • Cloud deployment and Google Cloud integrations shape platform fit
  • Cloud deployment may not fit organizations requiring other deployment models
  • Contact-sales pricing can make budget comparison slower
  • Enterprise-oriented scope may exceed smaller teams' search needs
Our verdict

Google Vertex AI Search is a managed search and content-discovery service for applications working with websites, structured data, and unstructured documents. It is aimed at development teams building search experiences on Google Cloud,…

Read the review →

Coveo is a cloud-based enterprise search and relevance platform for commerce, websites, customer service, and workplace experiences. It indexes content from cloud and on-premises repositories into a secured index, then supports keyword,…

Read the review →
  1. Google Vertex AI SearchAI Search and Discovery Platforms Software 9.1Paid
  2. CoveoAI Search and Discovery Platforms Software 8.8Pricing on request

Strengths and trade-offs

  • Google Vertex AI Search — where it wins

    • Searches websites, structured data, and unstructured documents
    • Combines keyword and semantic retrieval with filters and facets
    • Generates grounded answers with citations and supports personalization

    Where it doesn't

    • Paid service with query, storage, and throughput charges
    • Configurable query capacity has a 1,000-query-per-minute minimum
    • Cloud deployment and Google Cloud integrations shape platform fit
  • Coveo — where it wins

    • Hybrid keyword, semantic, vector, and faceted retrieval
    • Connectors for major enterprise systems and custom applications
    • Generative answers, personalization, analytics, and relevance tuning

    Where it doesn't

    • Cloud deployment may not fit organizations requiring other deployment models
    • Contact-sales pricing can make budget comparison slower
    • Enterprise-oriented scope may exceed smaller teams' search needs
  • Google Vertex AI Search9.1/10 · Paid

    A Google Cloud search service combining hybrid retrieval with cited generative answers.

    Visit Google CloudFull verdict →
  • Coveo8.8/10 · Pricing on request

    A broad enterprise search stack for unified retrieval, personalization, and generative answers.

    Visit CoveoFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update