Does Perplexity's server return raw search results or a summarized answer?

Both, but it leans toward synthesis. perplexity_search returns ranked results with metadata, while perplexity_ask returns a cited conversational answer. If you want raw hits to process yourself, Brave Search or Tavily fits better; for a summarized answer, Perplexity is best in this group.

When should I pick something other than Perplexity for web search?

When the agent needs raw results to rank or feed into its own pipeline rather than a finished answer. Brave Search returns a standard privacy-respecting index, Tavily pre-cleans results for LLMs, and Exa does neural full-page search.

Perplexity for web search

Pick 4 of 5 for web searchOfficialPerplexity

Perplexity's official Sonar MCP server acts as an answer engine: it synthesizes a cited response from live web results. For web search it is our fourth pick of five. The ranking comes down to what you want back. If you want a summarized answer with sources, Perplexity is best in the group. If you want raw search hits to read and process yourself, the other picks return that more directly.

Web search exists to close the gap between a model's training cutoff and what the internet says now. Perplexity closes it by handing back a synthesized answer rather than a list of links, which is the right shape for some jobs and the wrong one for others.

How Perplexity fits

perplexity_search runs a direct web query and returns ranked results with metadata, the closest thing here to conventional search output. perplexity_ask is the answer-engine mode: a conversational, cited response built from real-time results, which is what Perplexity does better than the siblings. perplexity_research, on the deep-research model, runs a multi-step search-and-synthesis pass for a thorough answer, and perplexity_reason applies the reasoning model when the query needs working through. The center of gravity is synthesis: even perplexity_search sits next to tools designed to summarize rather than just list.

The limit is that an opinionated answer engine is not always what you want. When the agent needs raw results to rank, dedupe, or feed into its own pipeline, a search-first server fits better. Brave Search is the stronger pick for a privacy-respecting index returning standard results, Exa for neural search tuned to full-page content, Tavily for results pre-cleaned for LLM consumption, and Kagi for a quality-focused search backend. Reach for Perplexity specifically when a summarized, cited answer is the deliverable rather than the input to further processing.

Tools you would use

Tool	What it does
perplexity_search	Direct web search via the Perplexity Search API, returning ranked results with metadata.
perplexity_ask	General-purpose conversational answers with real-time web search, backed by the sonar-pro model.
perplexity_research	Deep, comprehensive multi-step research backed by the sonar-deep-research model.
perplexity_reason	Advanced reasoning and problem-solving backed by the sonar-reasoning-pro model.

Full Perplexity setup and config →

FAQ

Does Perplexity's server return raw search results or a summarized answer?: Both, but it leans toward synthesis. perplexity_search returns ranked results with metadata, while perplexity_ask returns a cited conversational answer. If you want raw hits to process yourself, Brave Search or Tavily fits better; for a summarized answer, Perplexity is best in this group.
When should I pick something other than Perplexity for web search?: When the agent needs raw results to rank or feed into its own pipeline rather than a finished answer. Brave Search returns a standard privacy-respecting index, Tavily pre-cleans results for LLMs, and Exa does neural full-page search.