Google AI Overviews and AI Mode: What UK Businesses Need to Change in Their SEO

Google AI Overviews and AI Mode now answer many UK searches before a user reaches the organic results, which changes how businesses earn visibility and clicks. This guide explains how Google selects the pages it cites, what Google says about optimisation for AI features, how click behaviour shifts when a summary appears, and the practical SEO changes UK businesses should prioritise.

Click Loss from AI Summaries

Users clicked a traditional search result on 8% of visits where an AI summary appeared, compared with 15% where none appeared, in a study of 900 US adults’ browsing activity in March 2025 by the Pew Research Center. Only 1% of visits included a click on a link inside the summary itself, and AI summaries appeared on 18% of the searches tracked.

For a UK business that relies on informational content to start buyer journeys, that gap matters more than any single ranking position. A guide that held third place on a question-led query can keep the ranking and still lose most of its traffic, while a competitor cited inside the summary takes the brand exposure at the moment the buyer forms a shortlist.

The structural cause is that AI features reward pages that answer a defined question completely and unambiguously, and many business websites were written around keywords instead. Sites with clear topical coverage, consistent entity information and content that states facts plainly are better placed to be selected as supporting sources, which turns the AI summary from a traffic threat into a citation opportunity.

How AI Overviews and AI Mode Select Sources

Both features build answers from Google’s existing search index, so the foundations of eligibility are the same as for classic organic results, with heavier weight on how clearly a page covers a subtopic.

Eligibility and Indexing

Google states that a page can appear as a supporting link when it is “indexed and eligible to be shown in Google Search with a snippet”, and that “there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary”, according to Google Search Central. Technical SEO therefore remains the entry ticket.

• Crawlable pages with no accidental robots.txt or noindex blocks
• Important content delivered as text rather than locked inside images or scripts
• Internal links that connect each guide to its parent service and related subtopics
• Snippet controls such as nosnippet left off pages intended for citation

Query Fan-Out and Subtopic Coverage

AI Mode and AI Overviews may use query fan-out, which Google describes as issuing multiple related searches across subtopics and data sources to build a response. A single question about choosing a solicitor in Glasgow might fan out into fees, specialisms, regulation and reviews, and each of those sub-queries can cite a different page.

• Topic clusters that cover the questions surrounding a main service, not only the head term
• Headings phrased the way buyers phrase their questions
• Direct answers in the first sentence beneath each heading
• Comparison tables and defined processes that summarisation can extract cleanly

Entity Clarity and Structured Data

Google confirms there is no special schema.org markup required for AI features, but it asks that structured data stays consistent with the visible page text. Consistent naming of the business, its services, its location and its authors across the website, Google Business Profile and directory listings reduces ambiguity about who is publishing and what they are qualified to discuss.

• Organization, Person and Service markup that matches on-page facts exactly
• Named, credentialled authors linked to an author profile page
• Identical business name, address details and phone number across listings
• Source citations for statistics so claims can be verified

Measurement in Search Console

AI Overview and AI Mode traffic is reported inside the standard Performance report in Google Search Console under the Web search type, with no separate filter. Measurement therefore relies on watching impressions and click-through rate on question-led queries over time, and on Google Analytics 4 engagement data for the landing pages that receive that traffic.

• Query-level tracking of impressions against clicks on informational terms
• Engagement and key event rates on the pages most likely to be cited
• Branded search volume as an indirect signal of exposure inside AI answers

Data: Users ended their browsing session on 26% of pages showing an AI summary, against 16% of pages with only traditional results, according to the Pew Research Center, which makes being named inside the summary the main route to visibility on informational queries.

AI Search Visibility Process

An AI search visibility programme runs in five phases, and the governing principle is to fix eligibility first, then widen subtopic coverage, then strengthen the signals that identify the business as a trusted source.

1. Eligibility audit (weeks 1 to 2). Check indexing, snippet controls, rendering and internal links for every page that should be cited.
2. Query mapping (weeks 2 to 3). List the questions buyers ask around each service, grouped by the subtopics query fan-out is likely to explore.
3. Content restructuring (weeks 3 to 6). Rewrite headings as questions, add direct first-sentence answers, tables and cited facts, and fill missing subtopics.
4. Entity consolidation (weeks 5 to 7). Align structured data, author profiles, Google Business Profile and directory listings so every source describes the business the same way.
5. Monitoring (week 8 onward). Track impressions, click-through rate and branded search monthly, and test which page formats earn citations.

Sites with hundreds of thin or overlapping articles should expect the content restructuring phase to take three months or longer, because consolidation and redirects have to come before new writing.

A smaller site with a clean technical base and a focused set of services can usually complete the first four phases within six weeks.

The trust signals that support citation are covered in UK trust signals and E-E-A-T, and crawl and indexing checks on the technical SEO audit page.

Request an AI Search Visibility Review

A review of indexing, content structure and entity consistency shows which pages are eligible for AI citations and which subtopics competitors currently own.

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Written review returned within 48 hours. No obligation, no contract, and all findings and data remain yours.

Ongoing optimisation for AI answers is covered on the AI search visibility page, and topic cluster planning on the content marketing page.

Further guidance is published in Blog & Insights.

Frequently Asked Questions

Can I stop Google using my content in AI Overviews?

Google points site owners to its existing preview controls, including nosnippet, data-nosnippet, max-snippet and noindex. Applying nosnippet to a page prevents its text being shown in snippets and AI features, but it also removes the text snippet from classic results. Most businesses lose more visibility than they protect by opting out. A selective approach, applying data-nosnippet to specific sections such as pricing tables, is usually more practical.

Do I need an llms.txt file or special markup for AI search?

Google says no new machine-readable files or AI-specific markup are needed to appear in AI Overviews or AI Mode. Standard crawlability, indexing and structured data that matches the visible page remain the requirements. Other AI assistants may read files such as llms.txt, but Google does not use them for its AI features. Effort is better spent on content clarity and technical health.

Does ranking first on Google guarantee an AI Overview citation?

A top organic position does not guarantee a citation, because AI Overviews draw supporting links from pages that answer the specific subtopics in the response. Pages ranking lower can be cited when they answer one part of the question more directly. Equally, a page cited in AI Mode may not rank on page one for the original query. Coverage of related questions improves the odds across both features.

How do I know if my traffic is falling because of AI Overviews?

Compare impressions and clicks on informational queries in Search Console before and after AI summaries began appearing for those terms. Stable or rising impressions with falling click-through rate is the typical pattern. Commercial and branded queries are usually less affected, so segmenting by query type separates the effect from ranking losses. Checking the live results page for the affected queries confirms whether a summary is now showing.