The Practical Guide to AI Visibility

AI visibility describes whether your business appears when someone asks an AI assistant for information, a comparison or a recommendation. It is related to traditional search results, but it is not the same thing.

There are four separate outcomes worth keeping apart. A traditional search result is a link on a results page. An AI-generated answer is written text that may not link to anyone. Being mentioned by name means the answer names your business. Being cited as a source means the answer links to your website. Being recommended as a provider is a stronger outcome again, where the assistant suggests you as a suitable option.

These outcomes often move together, and they can also move apart. A business can be cited as a source without ever being recommended, and it can be named without being cited. That is why measurement matters more than assumption.

SEO is search engine optimisation: helping your pages appear in traditional results. AEO is answer engine optimisation: helping your content be used in direct answers. GEO is generative engine optimisation, which most people use to mean much the same thing as AEO.

The foundations overlap heavily. Crawlable pages, clear structure, genuine expertise and useful content serve all three. The differences sit in outcome and measurement: SEO is measured in rankings, clicks and impressions, while AI visibility is measured in mentions, citations and how often you appear across an agreed set of buyer questions.

SEO and AI visibility are not separate projects. For almost every UK service business they run together, using the same content and the same technical groundwork.

We group the work into five foundations. They run in order, because each one depends on the one before it. There is no point improving how persuasive a page is if the page cannot be reached and indexed.

Use the five foundations as a diagnostic rather than a scorecard. They tell you where the next piece of work belongs, not what your rankings will be.

Most websites are organised around how the business is structured. Buyers and AI assistants both work from questions instead. The gap between those two things is where visibility is usually lost.

A page that works well has one main purpose, matches the kind of question being asked, answers that question near the top, uses customer language rather than internal terminology, and offers a sensible next step. Several pages competing for exactly the same purpose weakens all of them.

An AI-ready website is not a style. It is a set of practical conditions: clear positioning, a dedicated page for each service, useful questions and answers, visible experience and proof, a logical structure, crawlable content, appropriate structured data, sensible internal linking, Search Console set up and indexation checked, decent performance and accessibility, and measurement in place after launch.

Structured data helps a machine parse what is already on the page. It does not guarantee extraction, citation or ranking, and it should never describe content that a visitor cannot see.

A strong website can present and structure your evidence. It cannot manufacture genuine authority.

Independent reviews, coverage by other publications, partner and association mentions, real client experience, external recommendations and original expertise all sit outside your control panel. They take time and consistency, and no amount of on-site work substitutes for them.

This is the honest limit of any website project, including ours. It is also the reason we separate website work from ongoing visibility work.

Start by agreeing the buyer questions that matter. Then track how often you are mentioned, how often you are cited as a source, which competitors appear, and how results differ by question type.

AI answers vary between engines, phrasings and sessions, so a single answer proves very little. Repeating the same question set on a regular cadence is what turns it into evidence.

Two further signals are worth watching where you can see them: website traffic referred by AI assistants, and enquiries where the caller mentions an AI assistant.

Ninety days is long enough to fix foundations and gather evidence, and short enough to hold attention. It is not long enough to promise a particular change in visibility, and you should be sceptical of anyone who does.