Exa for content research
For content research, Exa lands second among five picks, and it earns that on the quality of what it surfaces. Its official server runs a neural search built for AI retrieval, so a query returns semantically relevant sources rather than the keyword matches a conventional engine ranks first.
That matters when you are grounding a draft in real material. Exa returns clean, full-page content alongside its results, so an agent reads the substance of a source instead of a snippet and a link.
How Exa fits
The two tools that do the work are web_search_exa, which finds and returns ready-to-read content for a topic, and web_fetch_exa, which pulls the full text of a specific page when you already have the URL. web_search_advanced_exa adds filters over domains and dates, useful when you want sources from the last year or limited to a set of publications. Together they cover the find-and-read core of research.
Exa's edge is finding the right sources; it is not a synthesis engine. Perplexity sits ahead of it for that reason: it answers a question directly with citations, which is faster when you want a sourced summary rather than the raw pages. Firecrawl is stronger when the job is extracting a whole site or a page that fights clean parsing, Tavily when you want a search API tuned for AI retrieval at breadth, and Kagi when you want a fast, privacy-respecting general search backend. Use Exa when semantic relevance is what separates a good source from a noisy one.
Tools you would use
| Tool | What it does |
|---|---|
| web_search_exa | Searches the web for any topic and returns clean, ready-to-use content (enabled by default). |
| web_fetch_exa | Gets the full content of a specific webpage from a known URL (enabled by default). |
| web_search_advanced_exa | Advanced web search with full control over filters, domains, dates, and content options (opt-in). |
FAQ
- Is Exa better than Perplexity for content research?
- They do different jobs. Perplexity synthesizes an answer with citations, which is faster for a sourced summary. Exa finds and returns the most semantically relevant full pages, which is better when you want to read and quote the original sources yourself.
- Does Exa return full articles or just links?
- Full content. web_search_exa returns results already cleaned for a model to read, and web_fetch_exa pulls the complete text of a known URL, so the agent works from the source material rather than a list of links to scrape.