AI Search & Agents
AI Overview
In shortGoogle's AI-generated answer shown above some search results, summarising information from several pages and linking to supporting sources.
An AI Overview is the AI-generated summary that Google shows at the top of the results page for some searches. It answers the query in a few paragraphs or bullet points, draws on several web pages, and links to the pages it used as supporting sources. Google launched AI Overviews in the US in May 2024 and has since expanded them to more countries; they now sit alongside AI Mode, Google’s conversational search experience.
How it works
A Gemini model writes the answer using pages that are already in Google’s index. Google’s documentation explains that AI Overviews and AI Mode may use a “query fan-out” technique, running several related searches across subtopics to build the response. That is why the pages an AI Overview cites are often different from the pages that rank for the original query: they may rank for one of the sub-questions instead.
To be eligible as a supporting link, a page has to be indexed and eligible to show in Google Search with a snippet. Google states there are no additional technical requirements and no special markup for AI Overviews, so the usual SEO fundamentals still apply.
How it’s used in SEO and marketing
- Keyword categorisation. Tag every keyword in your universe with “triggers AI Overview” so you can see which clusters are most AI-mediated and which still drive clicks.
- Reading intent. An AI Overview tells you Google considers at least part of the query answerable on the results page. In MLforSEO’s intent framework it maps mostly to informational intent, alongside FAQs and featured snippets.
- Citation tracking. SERP APIs such as the DataForSEO API return the references inside an AI Overview, so you can track citations separately from rankings and see who wins them in your space.
- Reporting. Expect impressions to grow while clicks stay flat on informational pages, and benchmark the two separately.
Example
In MLforSEO’s SERP feature analysis workflow, you scrape the results for your keyword list, add a column for whether an AI Overview appears, and another for whether your domain is cited in it. Grouping by cluster then shows where you are visible in the answer, where you rank but are not cited, and where a competitor owns the citation.
Limitations and things to watch
- AI Overviews do not appear for every query, and whether one shows can change from month to month, so track them over time rather than as a one-off snapshot.
- Search Console has no separate AI Overview report, and clicks from AI Overview citations arrive in analytics as ordinary organic traffic.
- Your page can be retrieved and summarised without anyone clicking through, so citation counts and traffic need to be read together.
- Treat the older “informational, low-intent queries only” description with caution and check each cluster on the live results page.
Learn it on MLforSEO
Where AI Overview shows up on MLforSEO
Learn it in a course
Read about it on the blog
Try it yourself
- Coding Script or NotebookAI Overview Tracker: Presence, Cited Domains and Your Share
- Coding Script or NotebookDataForSEO SERP Collection Starter Notebook
- No-Code TemplateGoogle Sheets Formulas for SEO Keyword Research and Content Analysis (Copyable, Tested)
- Code on GitHubAI Overview tracker: presence, cited domains and your share
Sources and further reading
- AI features and your website (Google Search Central)
- Generative AI in Search: Let Google do the searching for you (Google, May 2024)
- What Is SERP Feature Analysis? How to Use It for Smarter Keyword Research MLforSEO
- 10 Ways to Automate SERP Analysis with AI MLforSEO
- How to Structure and Categorise Keyword Data for Semantic Analysis MLforSEO
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