Key Takeaways
- AI Mode uses Google's Gemini model with a query fan-out approach, breaking one question into multiple sub-queries and synthesizing a unified response rather than ranking documents.
- Unlike AI Overviews, which appear automatically at the top of standard results, AI Mode is a separate tab that users must actively choose, skewing toward higher-intent, research-oriented queries.
- Transactional queries requiring booking, purchasing, or form submission are far less vulnerable to AI Mode traffic loss because the model cannot complete actions on a user's behalf.
- A page outside the top three rankings can still be cited in AI Mode responses if it contains precise, well-structured content tied to a credible, cross-platform entity footprint.
Google quietly changed the nature of search results long before most marketing teams noticed. AI Mode is the most visible expression of that shift: a conversational, AI-generated answer layer that sits above, or in place of, the traditional blue-link results most businesses have built their traffic strategies around. If you've been watching your click-through rates drift downward without a clear explanation, this is likely part of the reason.
Understanding what is AI Mode Google Search is now a practical business concern, not just a technical curiosity. This article explains how it works, what makes it different from AI Overviews, and, critically, what your team should actually do about it.
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How AI Mode in Google Search Works
AI Mode is a dedicated search experience within Google that uses Gemini, Google's large language model, to generate a full, conversational response to a query. Rather than returning a ranked list of web pages, AI Mode synthesizes information and presents it as a coherent answer, with supporting links embedded within the text rather than displayed as a standalone results list.
It is distinct from AI Overviews, which is the summary box that appears at the top of standard Google results. AI Mode is an entirely separate tab or interface, users opt into it, and it is designed for more complex, multi-part questions where a simple list of links would be inadequate.
How the Technology Works
Google's AI Mode is powered by Gemini, which performs what Google describes as a "query fan-out" approach: breaking a single question into multiple sub-queries, retrieving information across those threads, and synthesizing a unified response. This is meaningfully different from how traditional search works, where a single query string is matched against indexed documents.
The practical consequence is that AI Mode can handle compound questions, for example, "compare the planning permission requirements for a garden office in England versus Scotland and estimate typical costs", in a way that a standard results page cannot. It reasons across sources rather than simply ranking them.
AI Mode vs. AI Overviews: The Distinction That Matters
Conflating AI Mode with AI Overviews is a common error, and it leads to the wrong strategic response. Here is how they differ in practice:
| Feature | AI Overviews | AI Mode |
|---|---|---|
| Placement | Top of standard results page | Separate tab or dedicated interface |
| User action required | None: appears automatically | User must select AI Mode |
| Query type | Informational, simple to mid-complexity | Complex, multi-part, conversational |
| Conversation support | No | Yes: follow-up questions supported |
| Link density in response | Moderate | Lower: embedded citations, fewer visible links |
AI Overviews affect every user who searches on Google. AI Mode, for now, affects users who actively choose it, which tends to skew towards more research-oriented, higher-intent queries. That distinction shapes where you should focus your optimization effort first.
The Real Traffic Impact, and Why It Is Not Uniform
The fear that AI Mode will destroy organic traffic entirely is understandable but imprecise. The impact is highly uneven, and understanding the pattern is more useful than reacting to the headline.
Where Clicks Are Most Likely to Decline
Queries that have historically been answered by a single definitive source, definitions, how-to explanations, factual lookups, product comparisons, are the categories most at risk. When AI Mode can synthesize a complete answer from multiple sources, the incentive for a user to click through to any one of them diminishes.
When Google launched AI Mode in the UK in July 2025, the BBC's report on the UK launch of AI Mode included the Daily Mail's claim that clicks on its links from Google results had fallen by around 50% since AI Overviews were introduced. That is one publisher's own figure, and it relates to AI Overviews specifically, but AI Mode intensifies the same dynamic for the queries it handles.
Where Traffic Is More Resilient
Transactional queries, where the user needs to complete an action on a website, such as booking, purchasing, or submitting a form, are far less vulnerable. AI Mode cannot complete a transaction on behalf of a user. Similarly, content that requires genuine expertise, proprietary data, or a specific relationship (a law firm, an accountant, a specialist consultancy) is harder to fully substitute with a synthesized response.
The businesses most at risk are those whose organic traffic is disproportionately driven by informational, top-of-funnel queries where the answer itself is the product. If your SEO strategy has been built on answering common questions to attract volume, that model deserves scrutiny now.
What AI Mode Actually Cites, and Why Most Coverage Misses This
Most articles about AI Mode focus on what it looks like to the user. The more strategically important question is: what determines which sources it draws on when constructing a response?
This is where the competitive advantage lies for businesses willing to think about content differently.
The Signals That Influence Citation
Gemini, like other large language models operating in a retrieval-augmented mode, does not simply rank pages by domain authority and quote the top result. It looks for content that is:
- Structurally clear: well-organized with logical heading hierarchies, so the model can isolate specific claims without ambiguity.
- Factually specific: content that makes precise, verifiable statements rather than hedged generalizations is more useful to a reasoning model trying to synthesize a coherent answer.
- Attributed to a credible entity: pages associated with an identifiable organization or author that has a clear topical footprint are favored over anonymized or thin-entity content.
- Consistent across the web: if the same claims appear in your content, your structured data, and third-party references to your brand, the model has higher confidence in those claims.
This is a meaningfully different optimization target from traditional SEO. Ranking on page one for a keyword does not automatically translate into being cited in an AI Mode response. A smaller site with highly specific, well-structured expertise can outcompete a high-authority domain on citation frequency.
What to Do Now: Practical Steps for the Rest of This Quarter
Generic advice to "create high-quality content" does not help a marketing director facing a board presentation about declining search traffic. Here are specific, named actions worth taking this week.
Audit Your Query Mix for AI Mode Vulnerability
Pull your Google Search Console data and segment your top 50 traffic-driving queries by intent. Flag any query that could be fully answered in two or three sentences: those are highest risk. Prioritize protecting the transactional and brand queries that sit below them in volume but above them in commercial value.
Restructure Content for Citation, Not Just Ranking
Review your highest-traffic informational pages and ask whether each section makes a distinct, citable claim. If the answer to a question is buried inside a long paragraph of hedged language, a language model will skip it. Break arguments into clear, attributable statements. Add structured data where you have not already done so: particularly FAQPage, HowTo, and Article schema.
Strengthen Your Entity Presence
Ensure your organization has a clear, consistent identity across Google Business Profile, Wikipedia (if applicable), Wikidata, and LinkedIn. AI Mode draws on entity understanding to determine whether a source is authoritative on a given topic. A brand that exists only as a domain is weaker than one with a coherent, cross-platform entity footprint.
Diversify Beyond Google Search
This is not a counsel of despair: it is risk management. Email lists, direct traffic, and referrals from niche communities are traffic sources that AI Mode cannot touch. If your business currently derives most of its traffic from a single Google search surface, that concentration is a strategic vulnerability regardless of what AI Mode does next.
FAQ
Is AI Mode available in the UK?
Yes. Google began rolling out AI Mode in the UK in July 2025, as reported by the BBC. It is available as an opt-in tab within Google Search on both desktop and mobile, and the rollout is ongoing. Not all users will see it immediately, as Google stages these releases progressively.
Does AI Mode replace standard Google Search?
No. AI Mode is a separate interface that users must actively choose. Standard Google Search, the ranked list of blue links, continues to operate as the default experience. Google has explicitly stated that AI Mode is not a replacement for traditional search, though the boundary between the two surfaces is likely to blur over time.
Can my website still appear in AI Mode responses?
Yes, but the mechanism differs from traditional ranking. AI Mode cites sources within its generated responses, but citation is determined by relevance, structural clarity, and entity credibility rather than pure ranking position. A page that does not rank in the top three for a query can still be cited if it contains the most precise, well-structured answer to the specific claim the model needs.
How is AI Mode different from asking ChatGPT a question?
AI Mode is integrated into Google Search and performs real-time web retrieval as part of generating its response: meaning it draws on current, indexed web content. ChatGPT in its base form uses a training dataset with a knowledge cutoff, though its browsing-enabled versions also perform live retrieval. The key difference is that AI Mode is embedded within the search journey most users are already on, rather than requiring a separate application.
What is the difference between AI Mode and AI Overviews?
AI Overviews appear inside normal Google results, and Google says they show only when its systems judge them additive to classic Search, as a jumping-off point to links. AI Mode is a separate experience that gives a fuller AI-powered response with links to supporting websites, which Google describes as most helpful for queries that need further exploration, reasoning or complex comparisons. Both may use query fan-out, running several related searches to find supporting pages, but they may use different models and techniques, so their answers and links vary. In Search Console, traffic from both is counted in the Performance report under the Web search type.
Related Reading
Written by
Anjan LuthraManaging Partner, Indexed
Anjan Luthra is Managing Partner at Indexed. He has spent over a decade inside high-growth companies building organic search into their primary acquisition channel, and writes about SEO strategy, AI search, and revenue attribution.
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