AI search (GEO)
We optimise your content and digital presence so AI search tools can understand, trust and recommend your practice when potential patients are looking for care.
OptimisationWhat it is
Generative engine optimisation: structuring and writing content so that AI assistants and AI-generated search summaries can quote it accurately and attribute it to you.
Why it matters
A growing share of health questions now get answered by a model summarising sources rather than by a list of links. If your pages are not parseable, clearly authored and unambiguous, you are simply not in that answer.
How it differs from ordinary SEO
Ranking is not the goal — being quotable is. That means self-contained answers near the top of a page, explicit authorship and dates, clean structure, and claims stated once and plainly rather than buried in prose.
Included, every time.
- Content structured to be quoted accurately
- Explicit authorship and review dates
- Self-contained answers a model can lift
- Entity and organisation markup
- Monitoring of how you are being summarised
Said plainly.
- Nobody can guarantee inclusion in an AI answer.
- We will not write for a model at the expense of a reader.
What this changes in a private practice.
Present where the answer is given
A growing share of patients get one synthesised answer instead of a list. If your practice is not in it, the click never happens.
Quoted accurately
Pages written in clear, attributable statements get repeated correctly. Vague marketing prose gets paraphrased into something you did not say.
Measurable, not mystical
We track which assistants mention you, for which questions, and what they say — and treat wrong answers as a content problem to fix.
Modern private practice
Patient research increasingly starts with a conversation rather than a query. They ask what the recovery is really like, who is good in their city, and what it should cost, and act on the answer. Optimisation now means being the source that answer is built from.
Useful, and bounded
This is the clearest example of AI mattering commercially rather than theoretically. The practices being cited share three things: unambiguous factual statements, a named clinician behind them, and structure a machine can parse. None of that requires tricking a model — it requires saying true things plainly and making them easy to find.