SERP scraping API
SerpApi and AI Search API are often compared, but they capture different things. SerpApi is built around search-engine results pages; AI Search API is built around the AI answer a person actually reads on top of those results.
A fair, axis-by-axis view. Where a difference is a matter of category, we say so.
| Dimension | AI Search API | SerpApi |
|---|---|---|
| What you get | The AI answer a user sees, with citations, plus provenance | Structured search-results page (positions, features, blocks) |
| Primary use | AI visibility, GEO, citation tracking, RAG grounding | Rank tracking, SERP feature monitoring, general SERP data |
| Surface model | Answer-first, one Envelope across AI surfaces | Results-page-first, per-engine SERP schema |
| Regions | Requested and effective region recorded per capture | Location parameters supported |
Every point below is what we do, verifiable in the contract and the docs, not a claim about anyone else.
Choose SerpApi when you need broad SERP coverage, ranking positions, rich SERP feature extraction, or engines beyond the AI answer surfaces, and when a results-page model fits your data better than an answer-plus-provenance model.
SerpApi is a mature, general-purpose SERP scraping API covering many engines and result types, including AI Overview blocks, returned as structured SERP JSON. It is a strong choice when the results page itself is the product.
SerpApi can extract AI Overview blocks from a results page. AI Search API is purpose-built around the AI answer across multiple engines and returns it in one canonical Envelope with provenance, which is the difference that matters for AI-visibility and GEO measurement.
For classic rank tracking of the results page, a SERP API like SerpApi is the natural fit. For tracking what AI answers say and cite about you, AI Search API captures the answer surface directly.
500 free credits, charged only on success, one Envelope for every surface. Decide from your own captures, not a comparison table.