Exa vs Google Search API: A Developer's Guide

“Google Search API” may refer to Google Custom Search JSON API, Gemini Grounding with Google Search, or other tools, and these differ substantially from Exa and Tavily in purpose and control. Exa is presented as an AI-oriented search API that supports semantic queries and can return full text, highlights, summaries, and structured outputs for RAG or agent workflows, while Google Custom Search returns links, snippets, and metadata from configured Programmable Search Engines and is closed to new customers, with existing users required to transition by January 1, 2027. Gemini Grounding allows Gemini models to search, synthesize, and cite web information, but keeps retrieval within the model-response workflow rather than providing reusable raw context. The comparison recommends evaluating tools based on needed ownership of results, page content, or final answers, along with relevance, freshness, latency, total cost, privacy, retention, security, and downstream extraction requirements. It also positions Tavily as a broader web-access layer for production agents needing search, extraction, crawling, mapping, research, and retrieval safeguards, while emphasizing that real-world benchmarks should determine the appropriate choice.

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