Google AI Overviews (AIOs) now appear at the top of results for the majority of high-volume search queries in the UK and US. They summarise the answer before anyone clicks through, and they cite a small number of sources directly.
If your brand is one of those sources, you earn the click. If you're not, you've lost the query, even if you rank in position one below it.
When Google AI Overviews appear, overall organic CTR drops 61% and paid CTR drops 68%. Brands cited inside the AIO earn a 35% higher organic click-through rate (and a 91% higher paid click-through rate) than those not cited. (Seer Interactive, November 2025, data through September 2025)
Here's what determines whether you get cited, and the exact steps to improve your chances.
Updated July 2026: this guide now reflects Google making Gemini 3 the default AI Overviews model in January 2026, the new follow-up flow that carries a question from an AI Overview into AI Mode, Google's official guidance (updated December 2025) confirming no special schema is required for AI features, refreshed Seer Interactive click-through figures with sources, and three new FAQs.
What we've seen on Google AIO across UK brands
Across the 75+ UK brands we have scored in 2026, AIO presence correlates more strongly with off-site citation density (Wikipedia, regulatory pages, trade press, review sites) than with Google authority. In our April 2026 pensions batch, one firm appeared in AI Overviews on every prompt we tested. That firm also has the strongest citation graph in the category (state-backed, Wikipedia article live, Pensions Regulator references, broad trade press). Brands with strong owned-content but thinner off-site presence had Google authority but weaker AIO presence. The signal that gets you cited in an AI Overview is not where your page ranks. It is what other trusted sources say about you.
What Are Google AI Overviews and How Do They Work?
RAG architecture. Google AI Overviews combine a large language model with Google's search index using a process called Retrieval-Augmented Generation (RAG). The model retrieves relevant passages from the web and composes a summary. This means the algorithm rewards fact-rich, structured content rather than keyword-stuffed pages.
They now run on Gemini 3, and they lead into AI Mode. In late January 2026 Google made Gemini 3 the default model behind AI Overviews worldwide, and added a follow-up flow that lets searchers carry a question straight from an AI Overview into a conversational AI Mode session (9to5Google, January 2026). AI Mode expanded again in May 2026, but Google has confirmed the transition is optional and AI Mode is not yet the default search experience (Press Gazette, 2026). For most brands the AI Overview is still where a query is won or lost.
They behave differently from other AI platforms. In our testing, AI Overviews give the shortest answers of the major AI platforms. They are compressed summaries rather than conversations.
| Dimension | Google AI Overviews | ChatGPT | Claude | Gemini |
|---|---|---|---|---|
| Median length | Shortest | Mid-length | Brief | Longest |
| Brand mention rate | Lowest of the platforms tested | High | Moderate | Highest |
| Tone | Encyclopaedic | Assistant | Concise assistant | Verbose |
AI Overviews are the hardest platform to get cited on. AI Overview responses mention brands much less often than the LLM platforms tested, and brands tend to appear later in the response. Getting cited here requires high authority.
They appear on 79% of queries, but not always with substance. In our own scans (not published as a standalone study, so treat them as indicative), AI Overviews were present on 79% of queries tested. However, extractable text was only available in 39% of cases, meaning AI Overviews are common, but not always substantial enough to include brand citations.
How Google AI Overviews Choose Sources
Google AI Overviews are built on top of the standard Google index. They don't crawl the web separately, they draw from the same content Google already knows about, then apply an additional layer of selection.
Google's own guidance backs this up. In its documentation on AI features (last updated December 2025), Google states there are no additional requirements to appear in AI Overviews or AI Mode and no special schema.org structured data that you need to add. Because AI features draw from the same index as organic Search, the crawlable, people-first content that already earns rankings is what makes a page eligible for citation (Google Search Central).
In March 2026, Ahrefs analysed 863,000 search results and 4 million AI Overview URLs and found that only around 38% of AI Overview citations come from pages in Google's top 10 organic results, down from 76% in July 2025. The rest are drawn almost evenly from positions 11-100 and from pages beyond position 100. A page-one ranking still helps, but it is no longer a prerequisite for being cited.
Passage selection is the deciding factor. AIOs choose the specific passages that most directly answer the query, wherever they rank. A page that ranks for a broad keyword but doesn't contain a clear, extractable answer gets skipped. A lower-ranked page, or one outside the top 10 entirely, with a precise, well-formatted answer often gets chosen instead. This gap between ranking and being cited is the core of GEO versus traditional SEO.
The additional selection factors:
- Structured data that matches your visible content, Google says no special schema is required for AI features, but accurate FAQ, HowTo and Article markup that mirrors what is on the page helps Google parse and extract your answers cleanly.
- Direct answer format, AI Overviews almost always open with a direct fact or answer. Content that leads with the answer, not a preamble, is far more likely to be extracted.
- E-E-A-T signals, Author credentials, publication date, outbound links to authoritative sources, and references to original research all signal trustworthiness.
- Content freshness, Recently published or updated content gets preference for time-sensitive queries.
- Page load speed and crawlability, AIO crawlers don't render JavaScript. Clean HTML, fast load times and proper sitemap submission are prerequisites.
The 6-Step Process to Get Cited
Step 1: Identify which queries trigger AIOs for your category
Not all queries show AIOs. Search your key terms in Chrome (UK or US) and note which ones trigger AI Overviews at the top. These are your priority targets. Focus your optimisation effort on queries that already show AIOs, you can't earn a citation on a query type that doesn't have one.
Step 2: Check if you already rank top 10 for those queries
If you're not in the top 10, you need standard SEO work first, this is the gating factor. If you are in the top 10 but not being cited, the problem is content format, not ranking. Check Google Search Console for your current positions.
Step 3: Reformat existing pages to lead with direct answers
AIOs extract most cleanly from pages that lead with the answer and explain after. For every query you want to win, give the page a section that directly answers the question in 2-4 sentences immediately after the heading, with no preamble and none of the "Great question, let's explore..." framing.
Step 4: Add FAQ schema to every content page
FAQ schema markup signals to Google that your page directly answers questions. Add 3-5 Q&As in FAQ schema format to every blog post and pillar page. Use the exact phrasing people search for as the question text. This is one of the highest-ROI technical changes for AIO visibility.
Step 5: Build E-E-A-T signals throughout the page
Include: author name with credentials, publication and update dates, outbound links to studies or data sources, references to original research or proprietary data. AIOs favour sources that demonstrate genuine expertise, not just content that covers the topic superficially.
Step 6: Monitor your AIO citation rate over time
Google Search Console shows AIO impressions and clicks. Track which of your pages earn AIO citations and which don't, then analyse what's different between them. Pages that earn citations show you what's working. Pages that rank but don't earn citations show you where to improve format and schema. To see where you currently appear across Google, ChatGPT, Gemini and Claude, you can run a free AI visibility check.
Target Comparison Keywords for Maximum Impact
In our own testing, Google AI Overviews used noticeably more superlative language ("best", "top", "leading") on comparison queries vs discovery queries. Other AI platforms hedge instead, but when someone asks "best X", AI Overviews actually pick sides.
This makes "best X" and "top X" queries the highest-value targets for AIO citation. Create content that directly answers comparison questions with clear, defensible rankings or recommendations backed by data.
Pitfalls to Avoid
Beyond the technical exclusions below, watch out for these content-quality traps:
- Thin content, Pages that only summarise others' work or lack original insights will not be cited. Invest in original research and unique perspectives.
- Over-optimisation, Don't spam keywords or artificially insert facts. AI models penalise unnatural writing.
- Ignoring other platforms, AI Overviews are the hardest platform to get cited on, with brand mention rates well below the LLM platforms. A comprehensive AI search visibility strategy covers all platforms, not just Google.
What Google AI Overviews Won't Cite
Understanding the exclusions helps focus your effort:
- Pages blocked from crawling, Any pages with noindex tags, disallow in robots.txt, or behind login walls are invisible to AIOs.
- JavaScript-rendered content, If your key content only appears after JavaScript executes, AIO crawlers likely can't read it. Move critical content to server-rendered HTML.
- Paywalled content, AIOs don't cite subscription content. If your best research is gated, it won't appear.
- Highly promotional content, AIOs avoid content that reads as advertising. Factual, informative content gets cited; product pitches don't.
- Low-authority domains, AIOs skew heavily towards established domains with strong trust signals. New sites building authority from scratch need time before this channel becomes available.
The Content Types That Earn AIO Citations Most Often
Based on our own testing of which content gets cited:
| Content Type | AIO Citation Rate | Why |
|---|---|---|
| FAQ pages with schema | High | AIOs extract Q&A format directly; schema makes structure machine-readable |
| How-to guides | High | Procedural queries ("how to...") trigger AIOs frequently; step-by-step format extracts cleanly |
| Definition / explainer pages | High | "What is X" queries almost always trigger AIOs; clear definitions at the top of the page get cited |
| Data and research pages | Medium-High | Original statistics and data are cited as authoritative sources; proprietary data has no competition |
| Product pages | Low | Too promotional; AIOs prefer informational sources |
| News articles (recent) | Medium | High freshness scores for time-sensitive queries; decays quickly |
Frequently Asked Questions
How do Google AI Overviews choose which sources to cite?
Ranking helps, but it is no longer the deciding factor. As of March 2026, only around 38% of AI Overview citations come from pages in Google's top 10, down from 76% in mid-2025 (Ahrefs), with the rest drawn from positions 11-100 and beyond. What matters most is passage selection: AI Overviews favour pages with clear question-and-answer formatting, strong E-E-A-T signals, original data, and comprehensive topic coverage. Google confirms no special schema is required, but structured data that matches your visible content helps it parse and extract your answers accurately.
Does ranking on Google guarantee appearing in AI Overviews?
No. A strong organic ranking improves your chances but is neither required nor sufficient. Google AI Overviews select specific passages from pages that best answer the query, so even a top-ranking page needs to directly address the question with a clear, extractable answer. Pages that rank for broad terms but don't answer specific questions clearly are often skipped.
What is the impact of appearing in Google AI Overviews on website traffic?
Brands cited as sources inside Google AI Overviews earn a 35% higher organic click-through rate (and a 91% higher paid click-through rate) than brands not cited, according to Seer Interactive (November 2025, data through September 2025). When AI Overviews appear, overall organic CTR drops 61%, meaning the traffic increasingly flows to cited sources rather than to the wider results page (Seer Interactive, November 2025 (data through September 2025)).
How long does it take to start appearing in Google AI Overviews?
If your pages already rank in Google's top 10, adding accurate schema and improving answer-format content can show results within 2-4 weeks as Google recrawls. If you need to build rankings from scratch, expect 3-6 months for competitive queries. The fastest wins come from tightening structured data and answer formatting on pages that already rank.
How do I get my brand cited in Google AI Overviews?
Being crawlable and indexed for the query, then formatting the answer so it can be lifted cleanly, gives you the best chance of being cited. In practice: make sure the page is crawlable and indexed, lead each section with a direct two to four sentence answer, back claims with data and clear author credentials, and build off-site authority such as Wikipedia, trade press, reviews and regulatory pages, because AI Overview presence tracks off-site citation strength more than raw ranking. There is no shortcut through special markup, as Google confirms no AI-specific schema is required.
Why does my site not appear in Google AI Overviews?
The most common reasons are: the query does not trigger an AI Overview at all, your page is not indexed or is blocked from crawling, the answer is buried under preamble instead of stated upfront, your domain lacks the off-site authority signals AI Overviews favour, or key content only loads through JavaScript. Work through those in order. AI Overviews also mention brands far less often than ChatGPT or Gemini, so absence on a single query is not always a site problem.
Is AI Mode replacing Google AI Overviews?
Not yet. In January 2026 Google made Gemini 3 the default model behind AI Overviews and added a follow-up flow that carries a question from an AI Overview into a conversational AI Mode session. Google expanded AI Mode again in May 2026 but has confirmed the shift is optional, so AI Overviews remain the surface most brands are competing to be cited in.