Last updated: 31 July 2026

Gemini Search Optimisation Guide: How UK Businesses Can Get Cited by Google's AI

Gemini search optimisation means structuring content, technical markup and crawler permissions so Google's Gemini model surfaces your business inside AI Overviews rather than a competitor's. AI Overviews now appear in as many as 25% of searches, according to Search Engine Land, making Gemini visibility a genuine growth channel for UK businesses in 2026.

Key Takeaways

• AI Overviews, powered by Gemini, now appear in as many as 25% of all Google searches, according to Search Engine Land.
• Gemini now accounts for roughly 18% of AI-search-style query volume, higher than the 5–10% estimates commonly cited during 2026, per Similarweb data reported by SolCrys.
• Optimising for Gemini is around 80% identical to optimising for Google AI Overviews, since both draw on the same index and crawler infrastructure, with only 20% requiring Gemini-specific work, according to SolCrys.
• Google-Extended is a distinct robots.txt control token, introduced in September 2023, that lets UK site owners separately allow or block Gemini training use without affecting classic Google Search crawling, per Murat Ulusoy's technical glossary.
• A well-structured schema page appeared in an AI Overview citation while an identical unstructured page failed to index at all, in a controlled Search Engine Land experiment referenced by GW Content.

What Is Gemini Search Optimisation and How Does It Differ from Traditional SEO?

Gemini search optimisation is the practice of shaping content, technical infrastructure and structured data so Google's Gemini model selects your pages as sources for AI Overviews and conversational search answers. Unlike traditional SEO, which chases a ranked position on the results page, Gemini optimisation targets citation — being quoted, summarised or linked inside an AI-generated answer block. The underlying mechanics overlap heavily with classic search, but the win condition is different: you're optimising to be the source Gemini trusts enough to reference, not necessarily the page that ranks first.

Google Search Central has confirmed there is no special "AI Overviews markup" — standard helpful-content and structured data guidance still applies, according to a summary from Stackmatix. That means Gemini optimisation builds on foundations UK businesses should already have in place, layered with a handful of Gemini-specific refinements.

Why This Matters for UK Businesses Now

For UK professional services, retail and B2B firms, Gemini-driven AI Overviews are increasingly the first thing a prospective customer sees before they ever click a blue link. If your content isn't structured to be extractable, you're invisible at the exact moment intent is highest — regardless of where you rank organically underneath.

How Does Google Gemini Generate AI Overviews in Search Results?

Gemini generates AI Overviews by retrieving relevant indexed pages, synthesising the most useful passages into a natural-language summary, and citing the sources it draws from directly beneath the answer. This is a retrieval-and-synthesis process, not a simple re-ranking of existing search results — Gemini can pull from pages that don't rank on page one at all, provided the content answers the query precisely and is easy to parse.

According to Akii's overview of Gemini's position in the Google ecosystem, Gemini also leans on the Knowledge Graph and applies a citation algorithm that differs meaningfully from standard organic ranking signals. This means a page's traditional keyword ranking is only one input among several — clarity, structure and factual precision often matter more for citation than backlink profile alone.

Can a Page on Page 2 or 3 Still Be Cited by Gemini?

Yes. Because AI Overviews retrieve passages rather than rank whole pages, a page sitting on page two or three of organic results can still be pulled into an AI Overview if it contains a tightly written, self-contained answer to the query. This is one of the most important shifts UK content teams need to internalise: ranking position and citation eligibility are no longer the same battle.

What Is Google-Extended and How Do I Allow or Block It in Robots.txt?

Google-Extended is a dedicated robots.txt directive that controls whether your content can be used to train and ground Gemini and related Vertex AI products, separately from whether Google can crawl and index your site for classic Search. It was introduced by Google in September 2023 specifically to decouple these two functions, according to Murat Ulusoy's technical glossary. If you block Google-Extended but leave Googlebot unblocked, your site can still rank in traditional search while opting out of AI training and grounding use.

On 25 April 2026, Google rolled out a significant update to how the Google-Extended crawler is described and documented, according to Thatware — a reminder that this is an actively evolving control, not a "set and forget" setting.

How Google-Extended Fetches and Uses Your Pages

Google-Extended respects standard robots.txt rules and is used both for grounding live Gemini answers and for longer-term model training, according to the Siteline AI Agent Directory. UK businesses that want to appear in Gemini-generated answers — including AI Overviews — should generally leave Google-Extended unblocked, since blocking it can reduce the likelihood of being cited or grounded in Gemini responses. A basic robots.txt allowance looks like this:

User-agent: Google-Extended
Allow: /

Businesses in regulated sectors, or those with proprietary content they don't want used for model training, may choose to block it selectively while monitoring the impact on citation volume, as explained by Trakkr's Google-Extended crawler guide.

Does Optimising for Gemini Also Improve Organic Google Search Rankings?

Yes, in most cases, because Gemini and Google AI Overviews draw on the same underlying index and crawler stack as classic organic search. According to SolCrys, roughly 80% of Gemini optimisation work is identical to optimising for AI Overviews and organic search more broadly — meaning technical SEO fundamentals, content quality and structured data improvements benefit both channels simultaneously. The remaining 20% is Gemini-specific: multimodal content handling and conversational, multi-turn query patterns.

This overlap is good news for resourcing. UK marketing teams don't need a parallel content strategy for "Gemini" versus "Google" — they need one strong content and technical foundation, with a smaller set of targeted refinements layered on top.

What Structured Data Helps Content Get Cited by Gemini?

Structured data — particularly FAQ, HowTo, Article and Organization schema — significantly improves the odds of a page being parsed correctly and cited inside an AI Overview. In a controlled Search Engine Land experiment referenced by GW Content, a page with well-implemented schema markup appeared in an AI Overview citation, while an otherwise comparable page with no schema failed to even get indexed. That's a stark illustration of how much technical groundwork still matters in an AI-first search era.

Google Search Central has stated there's no bespoke "AI Overviews schema" — the same structured data types that support rich results and standard SEO also support AI citation, per the Stackmatix summary of Google's guidance. Prioritise:

• FAQPage schema on genuine question-and-answer content
• Article schema with clear author, date and publisher fields
• HowTo schema for step-based guides and processes
• Organization schema to reinforce entity recognition and trust signals
• Product/Review schema where relevant to e-commerce and service listings

What Is Answer Engine Optimisation (AEO) and How Does It Relate to Gemini?

Answer Engine Optimisation (AEO) is the broader discipline of structuring content so it's retrievable and quotable by any AI answer engine — Gemini, ChatGPT, Perplexity or Copilot. Gemini optimisation sits within AEO as the Google-specific implementation, sharing the same core principles: self-contained answers, clear headings phrased as questions, and factual density near the top of each section. Businesses building an AEO strategy are, in practice, already doing most of the work needed for Gemini visibility.

What Role Does E-E-A-T Play in Getting Cited by Gemini?

E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — functions as a trust filter Gemini appears to apply when selecting which sources to cite, particularly for topics touching health, finance or legal advice. Since Gemini's citation algorithm differs from standard organic ranking, according to Akii, sites with clear authorship, verifiable credentials and consistent topical authority are more likely to be trusted as a citation source, even where their organic ranking position is modest.

For UK businesses operating in regulated or advice-driven sectors — legal, financial services, healthcare — this means author bylines, professional credentials, and transparent sourcing aren't optional extras. They're a direct input into whether Gemini is willing to surface your content at all.

In-House Optimisation vs Outsourced Specialist Support

Many UK businesses face a genuine choice: build Gemini optimisation capability in-house, or bring in a specialist agency. In-house teams often understand their product and audience best but may lack the technical depth to implement robots.txt controls, schema markup and citation tracking correctly. Outsourced specialists bring cross-industry pattern recognition — having seen what earns citations across multiple sectors — but need proper onboarding to understand your business context. For most SMEs, a hybrid approach works best: specialist-led technical setup and strategy, with in-house teams maintaining content cadence day-to-day.

How Do I Track Whether My Content Is Being Cited by Gemini or AI Overviews?

Tracking Gemini citations requires a combination of Google Search Console monitoring, manual query testing, and increasingly, third-party AI-visibility tracking tools, since Google does not yet provide a dedicated "cited in AI Overview" report inside standard analytics. Search Console can show impressions and clicks for queries where AI Overviews appear, even without direct citation attribution. Running a consistent set of target queries manually — logging whether and how your brand is mentioned — remains one of the most reliable manual methods available to UK marketing teams today.

Because AI Overview citations often produce zero-click outcomes, measuring ROI requires looking beyond last-click attribution towards brand mention frequency, direct traffic shifts, and branded search volume changes over time.

Your Gemini Search Optimisation Checklist

• Audit your robots.txt file and confirm your Google-Extended setting matches your business's AI training preferences
• Implement FAQPage, Article and Organization schema across your key commercial and informational pages
• Rewrite your top 10 highest-intent pages so each opens with a 130-160 word self-contained answer to its core question
• Add clear author bylines with credentials to any page touching regulated or advice-led topics
• Structure H2s and H3s as natural questions matching how customers actually phrase queries
• Test your target queries manually in Gemini and Google to log current citation status
• Review and refresh cited pages quarterly, since AI Overview sourcing shifts as content and competitors change
• Consolidate thin or duplicate content that dilutes topical authority around your core services

FAQ

What is Gemini search optimisation?

Gemini search optimisation is the practice of structuring website content, technical markup and crawler permissions so Google's Gemini model cites your pages inside AI Overviews and conversational search answers. It builds on standard SEO fundamentals while adding Gemini-specific considerations such as Google-Extended permissions and multimodal content handling.

How is Gemini different from Google AI Overviews?

Gemini is the underlying AI model that powers AI Overviews, alongside other Google products like Vertex AI and Google's conversational assistant. AI Overviews are one specific application of Gemini within Google Search, meaning optimising for AI Overviews is effectively optimising for Gemini in a search context.

Does blocking Google-Extended hurt my Google Search rankings?

No — Google-Extended is decoupled from classic Googlebot crawling, so blocking it should not directly affect your organic search rankings. It will, however, likely reduce your chances of being cited or grounded within Gemini-powered AI Overviews and other Gemini products, according to Murat Ulusoy's glossary entry.

Can a page that doesn't rank well still appear in an AI Overview?

Yes. Because Gemini retrieves and synthesises specific passages rather than simply promoting top-ranked pages, a page ranking on page two or three can still be cited if it answers the query clearly and concisely. Structure and factual precision often matter as much as traditional ranking signals for citation eligibility.

What schema markup should I prioritise for Gemini citations?

FAQPage, Article, HowTo and Organization schema are the most consistently useful types, since they help Gemini and Google's broader systems parse your content's structure and intent accurately. A controlled Search Engine Land experiment found a well-schema-marked page was cited in an AI Overview while an unmarked equivalent page wasn't even indexed.

Is Gemini optimisation the same as Answer Engine Optimisation (AEO)?

Gemini optimisation is a Google-specific subset of the broader AEO discipline, which also covers ChatGPT, Perplexity and other AI answer engines. The core techniques — self-contained answers, question-phrased headings, and strong structured data — largely transfer across all AI engines, with Gemini adding Google Search-specific nuances like Google-Extended controls.

How much of Gemini's search share should UK businesses care about?

Gemini reportedly now accounts for around 18% of AI-search-style query volume, according to Similarweb data cited by SolCrys — a meaningful and growing share for any UK business relying on search-driven enquiries. Combined with AI Overviews appearing in up to 25% of all Google searches, per Search Engine Land, Gemini visibility is no longer a niche concern.

Getting your business cited by Gemini with Aether Agency Ltd

This guide covers the exact territory Aether Agency Ltd works in every day: making sure UK businesses are found not just on Google's traditional results page, but inside the AI Overviews and conversational answers that Gemini increasingly generates first. From auditing robots.txt and Google-Extended settings to rebuilding page structure around self-contained, citation-ready answers, this is technical and content work that sits at the intersection of brand, website and marketing — precisely where our studio operates.

As a full-service creative studio covering brand identity, website development and marketing, Aether Agency Ltd builds the structured, technically sound foundations that make businesses genuinely findable across Google, ChatGPT and Perplexity, not just one channel in isolation.

If you're unsure whether your website is currently structured to earn Gemini citations, get in touch with Aether Agency Ltd for a conversation about where your content stands today and what a practical optimisation plan would look like.

Related Reading

• AI Search Optimisation Agency UK: Complete 2026 Guide
• AI Search Optimisation UK: Expert GEO Strategies for 2026
• How to Increase Brand Visibility in AI Search 2026 | Aether