Google AI Overviews and AI Mode pick sources from Google’s own search index. The model breaks your question into several related searches, a process Google calls “query fan-out”. It then reads the pages those searches return and links to the ones that back up each part of the answer. Any page that can rank in Google with a snippet can be cited. Google says there are no extra technical requirements.
That makes Google’s AI answers closer to classic SEO than ChatGPT’s. Organic rankings still matter, but they are not the whole story. In 2026, more than half of the pages cited in AI Overviews ranked outside the top 10 for the main query. AI Mode overlaps even less with the regular results. Brands get named when they keep showing up across the pages Google reads: YouTube videos, Reddit threads, “best X” lists, reviews and their own Google Business Profile.
Google does not sell citations in AI Overviews or AI Mode, and nobody can promise you one. You can raise the odds. The 2025 and 2026 data below shows where those odds come from.
- The short answer: what decides a Google AI citation
- AI Overviews vs AI Mode: same index, different answers
- How Google finds and cites pages, step by step
- How citations and links appear in AI answers
- Googlebot, Google-Extended and robots.txt
- Which sites Google’s AI cites most in 2026
- Do you need to rank in the top 10?
- Listicles, reviews and “best X” articles
- Freshness: does Google’s AI prefer new content?
- Which brand signals correlate with Google AI mentions
- What a brand can do: a 9-step plan
- Limits: what no one can guarantee
- FAQs
- Get your brand into the sources Google’s AI reads
The short answer: what decides a Google AI citation
Here is the whole process in one table. Each row is covered in detail below.
| Stage | What happens | What it means for your brand |
|---|---|---|
| Access | Googlebot must be allowed to crawl the page, and the page must be indexed | If a page cannot appear in Search with a snippet, it cannot be a supporting link |
| Query fan-out | Google splits the question into subtopics and runs many related searches | You need to rank for the sub-questions, not just the head keyword |
| Retrieval | Results come from the web index plus Google’s own data, such as Business Profiles and product data | Your Google Business Profile and Merchant Center feed are sources too |
| Selection | Google links only some of the pages it reads, often from outside the top 10 | Clear, self-contained answers to narrow questions get picked |
| Brand naming | Brands that appear across many cited pages get named | Mentions on YouTube, Reddit, lists and reviews matter more than your own site alone |
AI Overviews vs AI Mode: same index, different answers
AI Overviews are the AI summaries at the top of a normal results page. AI Mode is the separate, chat-style search tab built for longer questions and follow-ups. Google’s Search Central documentation says the two may use different models and techniques, so the answers and the links can differ.
Google is also merging them. In the Q2 2026 earnings remarks, Sundar Pichai said AI Overviews and AI Mode had recently been brought together into “one seamless Search experience”. He also said AI Mode had passed 1 billion monthly users.
Third-party data shows how far apart the two still are:
| Measure | AI Overviews | AI Mode | Source |
|---|---|---|---|
| Overlap of cited URLs with the organic top 10 | 88% | 12% | Moz, 40,000 keywords, US and UK, 2026 |
| Average citations per answer | 11.1 | 15.2 | Profound, 1.48M observations, May 2026 |
| Brands named per answer | 4.5 | 5.0 | Profound, May 2026 |
| Top cited domain | YouTube (22.9%) | Reddit (17.9%) | Ahrefs Brand Radar, US, Sept 2026 |
The Moz figures come from Tom Capper’s February 2026 study of 10,000 keywords, each checked on desktop and mobile in one US and one UK location. The Profound figures come from its July 2026 analysis of 15,155 tracked brands. Profound found that AI Overviews and AI Mode share only about 40% of the companies they name for the same prompts.
In practice, treat them as two channels. A brand can show up well in one and barely at all in the other.
How Google finds and cites pages, step by step
1. Google decides whether to show an AI answer
AI Overviews do not appear on every search. Google says they show only when they add something beyond the normal results. An Ahrefs study of 146 million results pages (January 2026) found AI Overviews on 21% of keywords, 57.9% of question queries and 46.4% of queries with seven or more words. In that data, 99.9% of keywords that triggered an AI Overview were informational.
A Pew Research Center study of 900 US adults and their real searches in March 2025 found a similar pattern. 18% of searches produced an AI summary. That rose to 60% for searches starting with a question word and 53% for searches of 10 words or more.
2. Google fans the question out
Google described query fan-out at I/O 2025: AI Mode breaks a question into subtopics and runs many searches at once. Deep Search, a mode inside AI Mode, can run hundreds of searches and return a fully cited report. Google’s documentation says both AI Overviews and AI Mode may use fan-out across subtopics and data sources.
This is why a page can be cited for a query it does not rank for. It may rank for one of the hidden sub-questions instead.
3. Google reads from its index and its own data
The candidate pages come from Google’s search index. Google also uses its own structured data. Its documentation asks businesses to keep Merchant Center and Business Profile information up to date. Profound found that google.com’s share of AI Mode citations rose 8.4 times between April 15 and June 30, 2026, making it the second most-cited domain. The growth came from Business Profiles and product knowledge panels, mainly in hospitality, home services, restaurants, real estate and healthcare.
4. Google links the pages that support the answer
The model writes the answer and attaches supporting links. Google says AI features show “a wider and more diverse set of helpful links” than a classic results page. Pew found that 88% of AI summaries cited three or more sources.
How citations and links appear in AI answers
Links show up in a few places: inline next to a statement, in a source panel beside the answer, and in lists of related articles. In October 2026, Google announced several changes:
- More inline links, placed higher up in responses.
- A test of a dedicated section at the top for official websites, with context about each.
- News carousels that highlight a user’s Preferred Sources.
- Thumbnails on related-article links.
- Clickable creator and publisher names in AI Mode that open their Search profiles.
Clicks are the weak point. In the Pew study, users clicked a regular result in 8% of visits with an AI summary, against 15% without one. They clicked a link inside the summary in just 1% of visits. Google’s side of the story is different. Pichai said Google sends “billions of clicks to websites every week” through AI features, and Google’s documentation calls those clicks “higher quality”.
You can measure this traffic in Search Console. Google says AI feature clicks and impressions are counted in the Performance report under the “Web” search type. They are not broken out separately.
Googlebot, Google-Extended and robots.txt
This is where Google differs most from OpenAI. There is no separate “AI search bot” for AI Overviews or AI Mode. Both run on what Googlebot crawls for Search.
| Control | What it does | Effect on AI Overviews and AI Mode |
|---|---|---|
| Googlebot in robots.txt | Controls crawling for all Google Search features | Blocking it removes you from Search and from AI answers |
| noindex | Keeps a page out of the index | The page cannot be cited |
| nosnippet, data-nosnippet, max-snippet | Limit how much text Google may show | Limit what AI features can use from the page |
| Google-Extended | A robots.txt token for Gemini training and grounding in other Google products | None. Google says it does not affect Search inclusion and is not a ranking signal |
The Google crawler documentation confirms that Google-Extended has no separate user agent. It only tells Google whether content may be used to train Gemini models and to ground answers in the Gemini app and Vertex AI. Blocking it does not keep you out of AI Overviews.
Google also runs fetchers that act on a user’s request, such as Google-Agent. Google says these generally ignore robots.txt because a person asked for the fetch.
Check your setup before anything else. Our study of SaaS robots.txt files found that 73% of top SaaS sites name no AI bot at all. Our free robots.txt AI bot checker shows what your file allows.
Which sites Google’s AI cites most in 2026
Ahrefs published separate top-50 lists for AI Overviews and AI Mode in September 2026, based on more than 3 million US queries across all topics. “Mention share” is each domain’s share of all citations going to the top 50.
| Rank | AI Overviews | Share | AI Mode | Share |
|---|---|---|---|---|
| 1 | youtube.com | 22.9% | reddit.com | 17.9% |
| 2 | reddit.com | 18.5% | youtube.com | 17.8% |
| 3 | facebook.com | 10.1% | google.com | 12.5% |
| 4 | google.com | 8.8% | facebook.com | 10.2% |
| 5 | instagram.com | 5.6% | instagram.com | 5.7% |
| 6 | quora.com | 4.7% | wikipedia.org | 4.0% |
| 7 | wikipedia.org | 4.0% | quora.com | 3.0% |
| 8 | tiktok.com | 3.3% | amazon.com | 3.0% |
| 9 | amazon.com | 3.3% | tiktok.com | 2.7% |
| 10 | walmart.com | 1.0% | walmart.com | 1.5% |
Three things stand out:
- Video and social lead. YouTube, Reddit, Facebook, Instagram and TikTok take most of the top spots. Google leans far more on user-generated content than ChatGPT does. Google also has a data deal with Reddit from 2024 that lets it display and train on Reddit content.
- Google cites itself. google.com is fourth in AI Overviews and third in AI Mode, mostly through Business Profiles and product panels.
- Publishers and review sites sit lower. Forbes is 12th in both lists. Trustpilot is 35th in AI Overviews and 44th in AI Mode. Consumer Reports is 30th in AI Overviews.
Pew’s 2025 data points the same way. Wikipedia, YouTube and Reddit together made up 15% of the sources in AI summaries. Government (.gov) sites made up 6% of AI summary sources, against 2% of standard results.
These are averages across every topic. In a B2B software niche, the cited pages are more likely to be vendor sites, review platforms and “best X” articles. Check your own prompts before you copy the averages.
Do you need to rank in the top 10?
It helps, but it is not required. The studies disagree on how much, mostly because they measure different things.
| Study | Sample | Finding |
|---|---|---|
| Conductor, 2026 | 167.9M AI Overview citations, US, June to August 2026 | 43% of cited pages ranked in the organic top 10; 57% came from outside it |
| Ahrefs, July 2025 | 1.9M citations from 1M AI Overviews (top 3 citations each) | 76.1% of cited pages ranked in the top 10; the median rank of the first citation was 2 |
| Moz, February 2026 | 40,000 keyword checks, US and UK | 88% overlap with the top 10 for AI Overviews, 12% for AI Mode |
Conductor’s larger and newer dataset also shows how the odds change by position. A page ranking first was cited 24.9% of the time. That fell to 21.1% at position two, 17.9% at position three and 10.2% at position ten.
Si Quan Ong of Ahrefs summed it up well: ranking first makes a citation more likely, “but that chance is a coin flip at best.” Fan-out explains the rest. Pages that rank for the sub-questions get pulled in even when they are invisible for the main query.
Listicles, reviews and “best X” articles
“Best X” lists carry a lot of weight in Google’s AI answers. An Ahrefs study by Glen Allsopp (December 2025) looked at 750 commercial prompts about software, products and agencies. Blog lists of the “best X” made up 43.8% of the page types ChatGPT cited, and they were slightly more prominent in AI Overviews. Ahrefs later charted the share by platform:
| Platform | Share of cited pages that were “best X” lists |
|---|---|
| Google AI Overviews | 48.9% |
| ChatGPT | 43.8% |
| Perplexity | 41.9% |
| Google AI Mode | 39.2% |
The same study found that 79.1% of the 1,100 cited lists had been updated in 2025, and 35% sat on low-authority domains. In Google’s regular results, 169 of 250 “best X software” results pages included a list where the author ranked their own product first.
So being on the right lists matters more than domain strength alone. Lists that are kept current and explain why each product is included are the ones worth targeting. A list where a vendor ranks itself first can still get cited, but readers trust it less.
Freshness: does Google’s AI prefer new content?
Less than other AI assistants. An Ahrefs study of about 17 million citations across seven platforms (July 2025) found that AI assistants cite content that is 25.7% newer than organic results on average. AI Overviews were the exception. They cited the oldest content of all the platforms, about 1,432 days old at publication, slightly older than the organic results.
This fits how AI Overviews work. They lean on the same pages that already rank, and many of those are established. Update a page when the facts change, not to reset a date. Google’s John Mueller has warned against changing dates without changing the content.
Which brand signals correlate with Google AI mentions
Ahrefs studied 75,000 brands (December 2025) and measured which signals best tracked how often each brand was mentioned in AI answers. The numbers are Spearman correlations: 1.0 is a perfect match, 0 is no relationship.
| Signal | AI Mode | AI Overviews | ChatGPT |
|---|---|---|---|
| Branded web mentions | 0.709 | 0.656 | 0.664 |
| Branded anchor text | 0.628 | 0.527 | 0.511 |
| Branded search volume | 0.466 | 0.392 | 0.352 |
| Branded traffic | 0.357 | 0.274 | 0.235 |
| Domain Rating | 0.285 | 0.326 | 0.266 |
Mentions on YouTube showed the strongest correlation of any signal in the study, at about 0.737. Ahrefs called AI Mode a “consensus engine”: it names brands that many sources agree on, which makes it the hardest of the three for new brands.
The brands each assistant named also overlapped heavily. The correlation between AI Overviews and AI Mode was 0.821. Work that gets you named in one Google surface tends to help in the other.
These are correlations, not proof of cause. Brands with many mentions also tend to be bigger, older and better known. Still, the pattern is consistent: being talked about on other sites lines up with AI visibility far better than domain authority does.
What a brand can do: a 9-step plan
- Confirm Google can index your key pages. Check robots.txt, noindex tags and snippet controls on product, pricing and comparison pages. Do not block Googlebot. Blocking Google-Extended is a separate choice that does not affect AI Overviews.
- Write down the prompts buyers use. Collect 30 to 50 real questions from sales calls, support tickets and People Also Ask. Include long, specific questions, since those trigger AI answers most often.
- Map the fan-out. For each prompt, list the sub-questions Google is likely to search: pricing, alternatives, integrations, use cases, comparisons. Each one is a page or a section you need.
- Answer each sub-question in a self-contained passage. Put the answer in the first sentence under a clear heading. Keep the key facts in text, not only in images or tabs.
- Complete your Google Business Profile and Merchant Center feed. AI Mode now cites google.com heavily through these. Keep hours, categories, products and prices accurate, and reply to reviews.
- Get onto the “best X” lists Google already cites. Run your prompts, note the cited lists and contact their authors with a clear reason to include you. Our brand mention service does this for you.
- Show up on YouTube and Reddit. Publish useful videos with clear titles and transcripts. Take part honestly in relevant subreddits and follow each community’s rules on self-promotion.
- Earn coverage with original data. Surveys and studies give journalists and list authors a reason to mention you. See our digital PR and data-driven content services.
- Track it every month. Run the same prompts in AI Overviews and AI Mode, log the cited URLs and named brands, and compare with your top three competitors. Use Search Console for clicks.
Much of this overlaps with what works for ChatGPT. Our guide on how ChatGPT chooses its sources covers the differences in detail.
Limits: what no one can guarantee
- No paid route into the answer. Google says no special optimization is required for AI features, and there is no way to pay for a citation inside an AI Overview or AI Mode answer.
- Answers vary. Profound found a median gap of 8 visibility points between a brand’s best and worst Google AI surface on the same day. More than one in three brands had gaps above 10 points.
- Google changes the interface often. Inline links, official-site sections and Preferred Sources all changed in 2026. The data above may look different in six months.
- Fewer clicks. Even a citation may bring little traffic. In the Pew study, users clicked a link inside the AI summary in 1% of visits.
- Most studies are correlational. They show what cited pages and brands have in common, not what causes a citation.
A realistic goal is to raise the share of relevant prompts where your brand appears, then track it over months against competitors.
FAQs
Do I need to rank in the top 10 to appear in AI Overviews?
No, but it helps. Conductor’s 2026 data shows 43% of AI Overview citations rank in the organic top 10, and a first-place page is cited about a quarter of the time. The rest come from pages that rank for related sub-questions Google searches behind the scenes through query fan-out.
Does blocking Google-Extended remove me from AI Overviews?
No. Google says Google-Extended only controls whether your content trains Gemini models and grounds answers in the Gemini app and Vertex AI. It does not affect Search or AI Overviews. To keep content out of AI Overviews, use nosnippet, data-nosnippet, max-snippet or noindex, which also limit regular Search.
Is optimizing for AI Overviews different from regular SEO?
Google says no special optimization is needed beyond normal SEO best practices. The difference is scope. Fan-out means you need pages for the sub-questions, and brand mentions on YouTube, Reddit and “best X” lists influence which brands Google names. Classic rankings are necessary but rarely enough.
Why does AI Mode cite different sites than AI Overviews?
Google says the two may use different models and techniques. AI Mode runs more searches and cites more sources per answer, about 15 versus 11 in Profound’s 2026 data. Moz found AI Mode’s cited URLs overlap with the organic top 10 only 12% of the time, against 88% for AI Overviews.
Can I see AI Overview traffic in Google Search Console?
Partly. Google counts clicks and impressions from AI Overviews and AI Mode in the Search Console Performance report under the “Web” search type. They are mixed in with regular results, not shown as a separate filter. To see which prompts cite you, you need manual checks or an AI visibility tool.
Does structured data help my page get cited?
Google lists structured data as a best practice, as long as it matches the visible text on the page. It is not a special AI signal and does not guarantee a citation. It helps Google understand products, prices and reviews, and keeping Merchant Center and Business Profile data accurate matters too.
Get your brand into the sources Google’s AI reads
Google’s AI names the brands it keeps finding in videos, discussions, lists, reviews and press coverage. Create & Grow places brands in relevant “best X” articles, reviews and press pieces, and runs link building and digital PR campaigns that earn mentions on sites AI assistants cite. Brand mention plans start at €1,500 a month.
We cannot guarantee that AI Overviews or AI Mode will mention you, and nobody honestly can. We can show you which sources Google cites for your category and get you into the ones that matter. Contact us to start with a short audit of your prompts.
More guides in this series on how AI search picks sources: ChatGPT, Gemini, Perplexity, Claude, Copilot.
