AI search optimisation is the work of making your business the source AI-driven search surfaces read, trust and cite when they answer a query in your category. It targets the answer-first search experience specifically: Google AI Overviews and AI Mode, ChatGPT search, Perplexity and Gemini, where the engine reads the strongest sources and writes a synthesised response instead of returning ten blue links. It builds on the same entity and structured-data foundation as SEO, but the target moves from the ranked link a person clicks to the passage a machine quotes. We measure it in citation share across your real buying questions and in assisted pipeline, never in guaranteed placements, because no one controls what a model outputs.
AI search optimisation, in full.
AI search optimisation is the discipline of getting your business read and cited by the AI-driven search experiences your buyers now use before they ever reach a website. When someone asks Google, ChatGPT search, Perplexity or Gemini a question in your category, the engine no longer ranks ten links and steps back. It reads the sources it trusts, writes a single synthesised answer, and credits a handful of them. If your business is not among that handful, you are invisible at the exact moment a buyer is forming a shortlist.
It sits inside answer engine optimisation as the search-surface layer. Where our AI SEO page covers the broad umbrella and our per-assistant pages tune for how one tool behaves, AI search optimisation is aimed at the search experience specifically: the AI Overview above the classic results, Google's AI Mode, and the search-style answers ChatGPT, Perplexity and Gemini now generate. The foundation is the same entity and structured-data work that underpins good SEO, but the target moves from the ranked link to the quoted passage, which changes how content has to be written and structured.
Two honest constraints shape everything we do here. First, nobody controls what an AI search surface outputs, so no agency can guarantee a citation, and any that promises one is guessing. What we can do is move the inputs these engines demonstrably use, and measure the result against your own set of buying questions. Second, AI search optimisation is premature without something worth citing. If you have no structured data, no authority and no reference content, there is nothing for an engine to synthesise, and we will tell you to start with SEO rather than sell you work you are not ready for.
The pay-off, when the foundation is there, is being the named source in the answer your market trusts by default. That is durable in a way a paid slot is not, and it compounds: every corroborating reference and every clean entity signal makes the next citation more likely, across every surface at once.
Get named in the answer, or get skipped.
These are industry figures, not our own results, and we do not invent numbers. Answer engines quote a handful of sources, so the game is being one of them, not just ranking. No citation is ever guaranteed.
AI search optimisation, broken down.
AI search baseline →
We establish what the AI search surfaces currently say about your category, who they cite today and where you sit against them. That honest starting line is what every later gain is measured against, and it usually reveals which competitors have quietly become the default answer.
Technical legibility →
Clean semantic HTML, fast pages, valid schema and content that renders without heavy JavaScript, so an engine reads your facts rather than skipping a page it cannot parse. The least glamorous and most decisive layer of the work.
Query-surface mapping →
The 40 to 120 questions your buyers actually put to AI search, scored by commercial value, so the work targets the queries that move pipeline rather than vanity phrasings nobody asks. This is where keyword research becomes question research.
Source-worthy content
Reference pages, definitions and original data written to be extracted and quoted, with the answer stated plainly near the top. Content built to be synthesised into an AI answer, not only to rank on its own.
Corroboration and authority →
Digital PR and citations in the publications AI search already trusts in your sector, because a claim repeated by credible sources is one an engine will repeat too.
AI Overviews and AI Mode →
The same foundation aimed at each surface your buyers use, from Google's AI Overviews and AI Mode to ChatGPT, Perplexity and Gemini, tuned to how each one sources and cites.
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The way we run AI search optimisation.
Baseline the answers
We run your priority questions across the major AI search surfaces and record what they say, who they cite and where you sit today. No projections, just the current state of the answer your buyers are seeing.
Fix what blocks legibility
We clear the technical and structural issues that stop an engine reading you cleanly: rendering, schema, entity consistency and page speed. This is the foundation the rest depends on.
Map and prioritise the queries
We build the scored map of buying questions, then decide which answers are worth competing for first based on commercial value and how winnable each one looks across the surfaces that matter to you.
Build the source material
We write and structure the reference content and primary data the engines can quote, with the extractable answer up front and the entity signals a surface needs to attribute it to you.
Earn corroboration
We pursue the coverage, mentions and citations in trusted sources that make an engine confident enough to name you, without buying links or pitching stories we cannot stand behind.
Track share of answer
We report citation share question by question, month by month, so you see movement honestly, whether it is up or down, and we adjust where a surface is not responding.
How we approach AI search optimisation.
Optimise for the AI search surface
Google AI Overviews and AI Mode, ChatGPT search, Perplexity and Gemini each source and cite differently. We tune one shared foundation to how each surface actually assembles its answer, rather than treating AI search as a single monolith.
Make you machine-legible
AI search can only use what it can parse. We fix the rendering, structure and schema that stop an engine reading your pages cleanly, so your facts survive the summarisation instead of being skipped.
Give the engine something to quote
Answers written up front, primary data, plain definitions and reference pages built to be lifted verbatim. If the passage is easy to extract and hard to argue with, it gets used in the answer.
Earn the corroboration
AI search trusts claims that credible third parties repeat. We build the coverage and citations in sources these engines already lean on, so they are confident enough to name you rather than a competitor.
What AI search optimisation puts on your desk.
Who does the work, and how
Rogue Logic is the trading name of Bryley Ltd. AI search optimisation is run by four senior practitioners with around forty years of combined experience between them, and there are no juniors on your account. The work is deliberately unglamorous and evidence-led: we move the inputs AI search actually uses and we report the outcome against your own questions, up or down, rather than pointing at a dashboard of impressions.
Senior practitioners only
The person who audits your entity and writes your source material is the person you speak to. No account-management layer, no learning on your budget.
Inputs we can influence, measured honestly
We optimise the structured data, content and corroboration the engines rely on, and track citation share question by question. We never guarantee a placement, because no one can.
Foundation-first standards
If there is nothing worth citing yet, we say so and start with SEO. AI search optimisation only earns its place once the entity, content and authority are there to build on.
AI search optimisation: common questions.
What is AI search optimisation?
AI search optimisation is the work of becoming a source that AI-driven search surfaces read, trust and cite when they answer a question in your category. It targets the answer-first search experience specifically, from Google AI Overviews and AI Mode to ChatGPT search, Perplexity and Gemini, and builds on the same entity and structured-data foundation as good SEO.
How is AI search optimisation different from SEO?
SEO optimises for the ranked link a person clicks. AI search optimisation targets the passage an engine quotes when it writes a synthesised answer above or instead of those links. The underlying entity and structured-data work overlaps heavily, which is why we run them together, but content has to be written to be extracted and quoted, not only to rank.
Is AI search optimisation the same as AI SEO or GEO?
They overlap and share a foundation. AI SEO is the broad umbrella term. Generative engine optimisation focuses on engines that generate a written answer. AI search optimisation is the layer aimed at the search experience itself, the AI Overview, AI Mode and search-style answers your buyers now see. In practice we deliver them as one combined programme.
Can you guarantee we appear in AI Overviews or ChatGPT?
No, and anyone who guarantees it is not being straight with you. No one controls what an AI search surface outputs. What we can do is move the inputs the engines actually use, make you the most citable option, and measure the movement against your real buying questions over time.
How do you measure AI search optimisation if there are no rankings?
We track a defined set of your buying questions across the major AI search surfaces and record, question by question, whether you are cited, a competitor is, or nobody is. That share of answer, tied to assisted pipeline, is the measure, reported monthly whether it moves up or down.
How long before it works?
Technical and structural gains can surface within a few weeks once an engine re-reads your pages. Citation gains that depend on authority and corroboration typically build over a quarter or two. We baseline first so any movement is measured against a real starting point, not a guess.
Do our Google rankings help with AI search?
Usually, yes, indirectly. Strong SEO tends to mean the crawlable, structured, authoritative content AI search favours. But the target differs, so content has to be written to be extracted and quoted, and some surfaces lean on indexes and sources that classic rankings do not fully cover.
How much does AI search optimisation cost?
It runs as part of a combined SEO and AEO retainer, which starts from £1,500 per month. We rarely sell it on its own, because without an SEO and authority foundation there is little for a search surface to cite and the work would be premature.
Book the call, or see the evidence first