Exa (formerly Metaphor) is a neural search API designed for AI applications — it uses embedding-based search rather than keyword matching to find content that's semantically similar to a query or a provided example. Where Google and Bing rank pages for human clicks, Exa is optimized for AI agents and applications that need to find high-quality, relevant web content programmatically and at scale.

The 'find similar' capability is Exa's most distinctive feature: instead of a text query, you provide a URL and Exa returns pages that are semantically similar to that content — useful for finding competitor content, related articles, or comparable companies without knowing their names. The search results focus on substantive, high-quality web content rather than SEO-optimized pages that rank well on traditional search engines but are thin on substance.

Exa is a developer API, not a consumer search engine. If you're building an AI agent that needs real-time web knowledge, a research tool that surfaces high-quality sources, or a competitive intelligence application, Exa's search quality and semantic capabilities offer meaningful advantages over keyword-based alternatives. For non-technical users seeking a better search engine, Perplexity or You.com are more appropriate interfaces.

🐱 SAGE SAYS

Exa's 'find similar to URL' feature is the hidden gem — it unlocks use cases that keyword search simply can't handle. Build that into your agent workflows before assuming you need to prompt-engineer your way around inferior search.

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