There is no Google AI Overview API. Google publishes no endpoint that returns the answer block its search page shows, so every product sold under that name is a service that loads the results page and parses it for you. That changes what you are buying: a scrape with its own price, its own failure modes and, often, a second request before the sources arrive. The three figures below frame the choice.
AI Overviews, measured on one 1,100-query panel
67%
of the panel's queries showed an AI Overview
Source: HasData, up from roughly 30% in its 2025 study
37%
of answers needed a second API call to return their sources
Source: HasData, 268 of 732 answers
40%
of an answer's cited domains replaced within a week, at the median
Source: HasData
Those figures come from HasData's study of AI Overviews by search intent, last updated on 9 September 2026, which ran a fixed panel of 1,100 US desktop queries through its own SERP API. HasData sells a SERP API, so it has an interest in the subject, but it publishes its method and its sample. An AI Overview appeared on 67% of the panel's queries, against roughly 30% in its 2025 study.
For a brand, that means the answer block is now the first thing a searcher sees on most of the queries where a purchase is still being weighed, and the list of links comes second.
Does Google offer an API for AI Overviews?
No, and its one programmatic search product is closing. Google's own documentation says the Custom Search JSON API is closed to new customers and gives existing ones until 1 January 2027 to move to an alternative. That API returned search results and not the AI Overview, so its end removes an option without adding one.
Nor is a replacement in sight. Search Engine Roundtable reported on 28 September 2026 that Google had removed the documentation for a Web Search Service API, which it seemed to have published by accident a couple of weeks earlier, and noted that Google does not offer that API to the public.
The Gemini API is a different product again. It lets a developer build on Google's models, and what it returns is the model's answer to your prompt, not the AI Overview that Google showed a searcher. To see what your customers see, something has to load the page they see.
What are you buying when a vendor sells an AI Overview API?
A results page, loaded and parsed. The vendor runs the search from the location and device you ask for, reads the page and returns JSON in which the AI Overview is one object among the organic results, the ads and the questions people also ask. The quality of that object is the product: the answer text, the cited sources with their titles and URLs, and whether they arrive in the same response.
Often they do not. In HasData's study, 268 of the 732 answers needed a second call, because the first response carried only a page token and the sources had to be fetched with it, and 9 returned no parseable sources at all. A tracker that counts one request per query will undercount its bill and, worse, miss sources without noticing.
The token does not wait. SerpApi's documentation says its AI Overview page token expires within 1 minute of the search and should be used immediately, and HasData puts the lifetime of its own token at roughly 4 minutes. A queue that fetches results now and sources later will lose them.
How do the vendors compare on AI Overview data and price?
The table below sets out how five vendors return the AI Overview and what a results page costs, in our reading of each vendor's own pages on 29 September 2026. Honeyb, our product, is in the table with its status stated.
| Vendor | How the AI Overview arrives | Price of a results page | Status |
|---|---|---|---|
| DataForSEO | The load_async_overview parameter, which adds one base price to the task | $0.60 per 1,000 in the standard queue | Live |
| SerpApi | A parsed object, or a page token for a second request | $25 a month for 1,000 queries | Live |
| SearchApi | Text blocks and reference links, with a page token | $40 a month for 10,000 queries | Live |
| Bright Data | The brd_ai_overview parameter | $1.50 per 1,000 requests, pay as you go | Live |
| Honeyb (ours) | The AI Overview with its cited sources | Not stated | Early access |
Read the second column before the third. A vendor that returns the sources in the first response costs what it prints, while one that hands back a token costs two requests for a share of your queries, and HasData's panel puts that share at more than a third. On DataForSEO the arithmetic is explicit: its pricing page adds one base price to a task that loads the AI Overview, so a tracker that wants the answer block pays twice the printed rate.
How each vendor returns the block is in its own documentation. SearchApi describes structured text blocks with reference links, and Bright Data describes a parameter that raises the likelihood of receiving the AI Overview, which is a reminder that the block is requested and not guaranteed.
Price is also the smaller risk. Our comparison of SerpApi alternatives works through the monthly cost at three volumes, and the differences at low volume are small next to the cost of an engineer's time. The larger risk is a parser that quietly returns an answer without its sources.
What about legal cover and search location?
Two things that are not in the price. The first is legal cover. SerpApi lists a U.S. Legal Shield on every plan, and SearchApi lists a Legal Protection Guarantee from its $100 plan upwards, which matters to an agency whose contracts pass liability down the chain. The other vendors in the table do not state one on the pages we read.
The second is where the search is run from. HasData's panel ran from Austin, Texas, and its event answers cited Austin's city guides, so an AI Overview is local in ways a national brand may not expect. Ask each vendor which locations it can search from before you compare anything else.
Why does one AI Overview reading tell you so little?
Because the answer moves. In HasData's two passes a week apart, the median answer kept 60% of its cited domains and replaced the other 40%, and 29% of answers replaced more than half of their list. The block itself was stable: only 5% of queries gained or lost an AI Overview between the passes.
So a citation earned on Monday may be gone by the next Monday, and a single API call is a photograph of something that is moving. We have made the same case for AI answers in general: spot-checking your AI visibility does not work, because according to SparkToro the same question changes its answer about 70% of the time. For a tracker, that means a schedule and not a lookup.
Ranking still decides who is eligible. HasData found that 91% of AI answers cite at least one domain from the same page's organic top 10, and that the domain in position 1 goes uncited on 40% of answers. For a marketing team, that is two reports and not one: where you rank, and whether the answer named you.
What should you do with AI Overview data once you have it?
Start with three questions per query: did an AI Overview appear, which domains did it cite, and were you among them. Run them on a schedule, keep every reading, and report the rate over the readings, not the latest one. Our guide to the AI visibility audit sets out the wider method.
Then look past Google. An AI Overview is one answer among several that a buyer may read, and the assistants answer without a results page at all. Honeyb's AI visibility API, ours, returns those answers classified by whether the brand was named, where, with what sentiment and from which cited pages, and its page prints $0.08 per answer. Honeyb's SERP API, the line that returns the AI Overview, is in early access.
If you are choosing a data source for a product or a tracker, the Honeyb API lists every line with its price and its status, and access is a short form.
Sources cited in this report






