When a core update rolls out in 2026, there is a second question alongside "did my rankings move?": did my visibility in AI Overviews and AI Mode change too? For many sites, being cited as a source in an AI answer now matters almost as much as a page-one blue link.
Google has said quite a lot about how its AI search features relate to classic ranking, and some of it is directly relevant to updates. It has also left important questions unanswered. This article separates the two: what Google has stated on the record, what can reasonably be inferred, and what is genuinely unknown.
You will also get a practical way to monitor AI visibility around updates without over-reading noisy data.
Key Takeaways
- Google says there are no additional requirements or special optimisations needed to appear in AI Overviews or AI Mode.
- To be eligible as a supporting link, a page must be indexed and eligible to show in Google Search with a snippet.
- Google's VP of Search, Liz Reid, wrote in May 2024 that the AI Overviews model "is integrated with our core web ranking systems."
- It is therefore reasonable to expect core updates to influence which pages AI features draw on, but Google has not published how or by how much.
- AI feature traffic is included in Search Console's overall Performance report, so isolating it takes care.
What Google has said about AI features and ranking
Google's Search Central page on AI features and your website is the clearest official statement. It says:
“There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.”
— Google Search Central, AI features and your website
The same page says that to be shown as a supporting link, "a page must be indexed and eligible to be shown in Google Search with a snippet," and that "the best practices for SEO remain relevant for AI features in Google Search." It also explains that both features may issue "multiple related searches across subtopics and data sources" (a technique often called query fan-out) to develop a response.
Earlier, after the US launch of AI Overviews on 14 May 2024, Google's VP of Search Liz Reid wrote on Google's blog that "the model is integrated with our core web ranking systems" and that it is designed to carry out tasks like "identifying relevant, high-quality results from our index."
So do core updates affect AI visibility?
Putting those statements together gives a reasonable inference: if AI features rely on Google's core ranking systems and on pages eligible for normal search, then changes to those core systems (which is what a core update is) are likely to affect which pages AI features find and cite. A page that drops sharply in organic results for a set of queries would plausibly be less likely to be picked up for related AI answers.
But this is our inference, not a Google statement. Google has not said that core updates are applied to AI features in exactly the same way, nor that AI citations move in step with organic positions. Query fan-out also means an AI answer may draw on pages ranking for related sub-queries, not just the query the user typed.
Known versus unknown
| Question | Status | Basis |
|---|---|---|
| Do pages need special optimisation for AI features? | Known: no | Google AI features documentation |
| Must a page be indexed and snippet-eligible? | Known: yes | Google AI features documentation |
| Are AI Overviews tied to core ranking systems? | Known: Google said the model is integrated with them (2024) | Google blog, May 2024 |
| Can AI answers draw on related sub-queries? | Known: yes, via multiple related searches | Google AI features documentation |
| Do core updates change AI citations in the same way as organic rankings? | Unknown | No Google statement |
| Are AI features updated on a separate schedule? | Unknown | No public changelog of AI feature model updates |
| Is AI feature traffic in Search Console? | Known: included in overall Performance data | Google AI features documentation |
Why AI visibility is harder to measure than rankings
Google's documentation says traffic from sites appearing in AI features is "included in the overall search traffic in Search Console" and reported in the Performance report. That is helpful for totals but makes isolating AI-specific change harder. Search Console's own Data anomalies page shows the reporting is still maturing: it records a logging error that lowered impressions for "Generative AI in Search" between 13 and 17 August 2026, with the missing data later restored.
Click behaviour also differs. A Pew Research Center study of 900 US adults' browsing in March 2025 found users clicked a link inside an AI summary in about 1% of visits where one appeared, and clicked a traditional result in 8% of those visits, compared with 15% when no summary appeared. So being cited and being clicked are different outcomes. Our article on AI Overviews CTR versus ranking loss covers this distinction.
How to monitor AI visibility around an update
- Build a fixed query set. Choose 30–100 important queries that trigger AI Overviews, and keep the list stable.
- Record citations before the update. Note whether your pages are cited and which competitors are.
- Track organic positions for the same queries. This lets you see whether AI citation changes move with organic changes.
- Repeat after completion. Wait until a week after the rollout ends, then check again with the same location and device settings.
- Compare Search Console clicks and impressions. Look at the same queries over equal periods, keeping ranking impact and traffic impact separate.
- Record, don't overreact. AI answers can vary between checks, so look for consistent patterns across many queries.
Practical monitoring setup
| Signal | Where to get it | What it tells you |
|---|---|---|
| Organic position for AI-triggering queries | Rank tracker, Search Console | Whether core ranking changed |
| Citation presence in AI Overviews | Manual checks or AI visibility tools | Whether you're used as a source |
| Clicks and CTR | Search Console Performance report | Real traffic impact (blended) |
| Referral and engagement quality | Analytics | Whether AI-driven visits convert |
| Data anomalies | Search Console help | Whether a reporting issue explains a change |
What to do to stay visible in both
- Keep pages indexable and snippet-eligible. Avoid accidental
nosnippetor overly restrictivemax-snippetsettings if you want to be eligible. - Answer the sub-questions. Because AI features run related searches, clear sections on related subtopics give more chances to be relevant.
- Show first-hand expertise. Original data, testing and clear authorship help with both helpfulness and trust.
- Follow normal SEO best practice. Google says it remains relevant. Our AI Overviews SEO guide and AI Mode guide go further, and generative engine optimisation covers other AI platforms.
- Build durable quality. An update-resilient SEO strategy protects both organic and AI visibility.
For context on how these features arrived, see our AI search rollout timeline, and for content produced with AI tools, our guide to algorithm updates and AI content sites.
Common mistakes
- Buying "AI ranking" shortcuts. Google says no special optimisations are necessary.
- Treating a single AI answer as data. Answers vary; measure across many queries.
- Assuming AI citations equal traffic. Pew's data suggests clicks inside AI summaries are rare.
- Blocking snippets by accident. Snippet controls can affect eligibility for AI features.
- Presenting inferences as facts. Tell stakeholders clearly what Google has confirmed and what you are inferring.
Related Guides
- Google Search Bugs That Looked Like Algorithm Updates
- What the US Antitrust Trial Revealed About Google Ranking
- Google Algorithm Update Glossary: 60 Terms Explained
Frequently Asked Questions
Do core updates affect AI Overviews?
Probably, because Google says AI Overviews are integrated with its core ranking systems, but Google has not published how core updates affect AI citations specifically.
Do I need special optimisation for AI Mode?
No. Google says there are no additional requirements or special optimisations; pages must be indexed and eligible to show with a snippet.
Can I see AI Overview traffic in Search Console?
Google says traffic from AI features is included in overall search traffic in the Performance report.
Why did I lose AI citations but keep rankings?
AI answers can draw on related sub-queries and vary between checks. Measure across many queries before concluding anything.
Does being cited in an AI Overview bring clicks?
Sometimes, but Pew Research found users clicked a link inside an AI summary in about 1% of visits where one appeared.
Conclusion
Google's own statements tie AI Overviews and AI Mode to the same index and core ranking systems that core updates change, so treat AI visibility as part of your normal update analysis, while being honest that the exact relationship is not public. Monitor a stable query set, compare before and after, and keep improving genuinely helpful content. If you want help tracking organic and AI visibility together, our SEO team can help, or request a quote.
References
- Google Search Central: AI features and your website
- Google blog: AI Overviews – About last week (Liz Reid, May 2024)
- Pew Research Center: Google users are less likely to click on links when an AI summary appears
- Search Console Help: Data anomalies in Search Console
- Wikipedia: AI Overviews
- Google Search Central: Google Search's core updates




