Google Agent Search review
A Google Cloud search service for cited answers, retrieval, and conversational discovery.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Google Agent Search is a Google Cloud service for building AI-powered search and recommendation experiences across websites, structured data, and unstructured documents. It fits organizations serving public websites, intranets, customer-facing applications, and enterprise data workflows. Teams can deploy a search widget or API, combine semantic and keyword retrieval, and return grounded AI answers with source citations. Conversational search and follow-up questions extend the experience beyond a single query.
Pricing is consumption-based rather than user-based. Search Standard Edition costs $1.50 per 1,000 queries and includes semantic retrieval plus keyword and structured search. Search Enterprise Edition costs $4 per 1,000 queries and adds core generative answers over structured and unstructured data. Advanced Generative Answers also costs $4 per 1,000 user input queries and adds Advanced AI Mode, multi-turn conversational capabilities, and multimodal capabilities. Configurable Query Unit and Configurable Storage Unit subscriptions cover query throughput capacity and indexed raw data storage, respectively. There is no free plan.
Its ecosystem fit is strongest for teams already working with Google Cloud services and enterprise repositories. Listed integrations include Google Drive, Gmail, Google Calendar, Google Cloud Storage, BigQuery, Jira, Confluence, and Salesforce. IAM and data-source access controls support permission-aware deployments, while personalized browse and ranking controls provide additional administrative direction. Website, structured-data, and unstructured-document indexing give it broad coverage, but organizations wanting a non-cloud deployment or simpler fixed pricing should consider an alternative. Google Cloud teams that need cited, access-controlled AI search should shortlist it.
Google Agent Search pros and cons
- Where it wins
- Combines semantic, keyword, and structured search
- Generates grounded answers with source citations
- Supports websites, documents, and structured data
- Where it doesn't
- No free plan is offered
- Usage-based pricing needs query and capacity planning
- Deployment is limited to cloud options
Google Agent Search fact sheet, pricing and score →
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