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    Tool ComparisonsPublished September 29, 20266 min read

    Google AI Overview API: There Is None. What to Buy Instead

    Google publishes no API for the AI Overview. What vendors sell is a parsed results page, and the sources often take a second request. Here is what each one returns and what a page costs, from the vendors' own pages.

    Matiss Katanenko

    Matiss Katanenko

    Co-founder, Honeyb

    Google AI Overview API: There Is None. What to Buy Instead

    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

    HasData, Google AI Overview Data by Search Intent, last updated 9 September 2026. US desktop queries.

    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.

    VendorHow the AI Overview arrivesPrice of a results pageStatus
    DataForSEOThe load_async_overview parameter, which adds one base price to the task$0.60 per 1,000 in the standard queueLive
    SerpApiA parsed object, or a page token for a second request$25 a month for 1,000 queriesLive
    SearchApiText blocks and reference links, with a page token$40 a month for 10,000 queriesLive
    Bright DataThe brd_ai_overview parameter$1.50 per 1,000 requests, pay as you goLive
    Honeyb (ours)The AI Overview with its cited sourcesNot statedEarly 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.

    Building on AI answer data?

    The Honeyb API returns AI search visibility as JSON: which brands each engine named, in what position, with what sentiment and which pages it cited. $0.08 per answer, no subscription.

    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.

    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

    hasdata.com6developers.google.comseroundtable.comserpapi.com3dataforseo.com2searchapi.io3brightdata.com2

    Frequently asked questions

    Is there an official Google AI Overview API?

    No. Google offers no endpoint that returns the AI Overview. Its Custom Search JSON API, which returned search results, is closed to new customers, and Google's documentation gives existing ones until 1 January 2027 to move. Products sold as an AI Overview API are third-party services that load the results page and parse it.

    How much does AI Overview data cost?

    It depends on the vendor and on how many requests an answer takes. In our reading of the vendors' pricing pages on 29 September 2026, DataForSEO charges $0.60 per 1,000 result pages in its standard queue and adds one base price when the AI Overview is loaded, Bright Data charges $1.50 per 1,000 requests, and SerpApi's plans start at $25 a month for 1,000 queries.

    Why does my AI Overview API return an answer without sources?

    Often because the sources need a second request. Some vendors return a page token in the first response and the sources only when you send that token back, and the token expires quickly: SerpApi's documentation gives it 1 minute. In HasData's study, 268 of 732 answers needed the second call.

    Can I track AI Overviews by country and language?

    Yes. SERP APIs let you set the location, language and device of the search, and the result differs by location. HasData's panel ran from Austin, Texas, and its event answers cited Austin's city guides. Check that a vendor covers the markets you sell in before you compare prices.

    How often should I check whether an AI Overview cites my brand?

    More than once. In HasData's two passes a week apart, the median AI answer replaced 40% of its cited domains, so one reading says little. Daily readings on the queries that matter most, and weekly on the rest, give a rate you can report and compare over time.

    Matiss Katanenko

    About the author

    Matiss Katanenko

    Co-founder, Honeyb

    My name is Matiss Katanenko and I co-founded Honeyb, the AI visibility platform that tracks how ChatGPT, Gemini, Claude, Perplexity and the other major AI engines talk about brands. Before Honeyb I ran SEO for fast-growing companies across the US and Europe, including one of America's 500 fastest-growing companies. The numbers I am proudest of: taking a site from zero to 200,000 monthly visitors in five months, and over $10M in client revenue attributed to organic search. I still run experiments across ten-plus of my own domains to test what actually works in SEO, programmatic SEO and AI search, and those experiments are what this blog reports on. My focus today is AI search visibility: how brands get retrieved, ranked and referenced by LLMs. I'm based in Riga, Latvia. In my free time I'm in the sauna, on a padel court, or behind a drum kit.

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