Schema markup: what it is and how it improves AI visibility

Schema markup makes AI understand and trust your business

Schema markup is a GEO service that strengthens the signals AI uses to decide which businesses to recommend. It is one of the levers of generative engine optimisation, the work that turns your business into the one AI names when buyers ask for a recommendation. Done well, schema markup moves you from invisible to cited.

AI assistants no longer return a list for a buyer to sift; they return an answer. Schema markup is about being inside that answer, understood clearly enough, and trusted widely enough, that the model reaches for your business by name.

Schema markup decides whether AI recommends you

Schema markup matters because it improves how clearly AI understands and trusts your business, which is what decides whether you are named. AI recommends businesses it can identify and corroborate, and schema markup strengthens exactly those signals. Skip it, and a model names a competitor whose signals are clearer than yours.

The businesses AI names are not always the best ones. They are the most legible ones. Schema markup closes that gap, so the quality of your business is matched by the clarity of how AI sees it.

Our schema markup process, step by step

We deliver schema markup as a clear, repeatable process, no black box:

• Step 1: Audit where you stand in AI today
• Step 2: Fix the entity and trust signals holding you back
• Step 3: Deliver the schema markup work
• Step 4: Publish or strengthen the content the engines read
• Step 5: Measure the change in your visibility

What you get from schema markup

Every schema markup engagement is built to produce evidence you can see:

• A clear scope and starting baseline
• The schema markup work, delivered
• Reporting on the change in your AI mentions

Who schema markup is for

Schema markup suits businesses that want AI to recommend them more often. It works for trades, professional services and local businesses alike, anywhere buyers are starting to ask AI for a recommendation. Not sure it is the right starting point? A free AI visibility audit will tell you.

Schema markup works alongside our other GEO services

Schema markup rarely works in isolation. It sits within a full GEO programme, most often paired with entity optimisation and citation building, and measured with AI visibility monitoring. If you would rather we ran the whole thing, done-for-you GEO covers every lever.

Schema markup earns you recommendations across every engine

The point of schema markup is not a tidy report. It is being recommended where your buyers are asking, and the enquiries that follow. For a UK business, that is what AI lead generation looks like. We apply it so the gains show up across ChatGPT, Google Gemini and Perplexity alike, because a buyer's choice of assistant should never decide whether they find you.

See what schema markup would change for you

The clearest way to scope schema markup is to see your starting point. Our free AI visibility audit shows how the engines answer for a business like yours today, and where schema markup would move the needle. See the results we've delivered, then book yours.