Clinicians who exist only as a photo
A team page of headshots with names rendered into the image, and no registration number in text. A model cannot verify who works for you, so it cites a clinic that made it easy.
Health questions are among the most-asked and most carefully answered categories in AI assistants. Clinics that state their clinicians, registrations and treatments in machine-readable form get named. Most do not.
The consideration period is long and almost entirely private. Someone weighing up a procedure will ask an assistant a dozen questions over several weeks before they contact anybody, and every one of those turns is a chance to be named or omitted.
Assistants are noticeably conservative on health topics. They lean towards sources that can be corroborated — named clinicians, stated regulatory registration, a real address. That caution works in your favour if those facts are readable, and against you if they are pictures.
Regulation is your advantage here, not your constraint. CQC registration, GMC, GDC and NMC numbers are exactly the kind of verifiable fact a model will reach for. Most clinic sites bury them in a footer image or omit them entirely.
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The questions that matter here
These are the shapes of question an assistant answers with a shortlist of named companies. We test yours against the real models and record who gets named instead of you.
Common failures
A team page of headshots with names rendered into the image, and no registration number in text. A model cannot verify who works for you, so it cites a clinic that made it easy.
"Prices on consultation" is a reasonable commercial position and a total absence of data. Cost is one of the most-asked questions in this category, so a from-price expressed as structured data answers it without committing you to a fixed quote.
Pages that describe how caring the team is but never plainly answer what the treatment is, who it suits, what it costs and how long recovery takes — the four things actually being asked.
Price
The full technical diagnostic on your site, generated by the engine and delivered in minutes. Every check scored, every finding evidenced with the response code or the markup behind it, and a prioritised fix list your developer can act on without ringing us.
If you want live testing against the models, competitor citation analysis and somebody to interpret it, that is the expert audit at £950. If you want the fixes built rather than described, we do that too. Most companies in your sector need the first one.
Most of them are a consultancy pitch with an audit attached, priced as a monthly retainer. Ours is a product: the technical diagnostic is automated, it costs £150 as a one-off, and you can request the free report without speaking to anybody. We also build the fixes, which most of them do not.
The diagnostic is the same in every industry — crawler access, structured data, rendering and content structure do not vary by sector. What varies is the questions your customers actually ask an assistant, and those we build with you. We publish what we find sector by sector, and this page lists the failures we see most often in yours.
Because this is a product rather than a consultancy pitch. The technical diagnostic is automated, so the full report is £150 once rather than a monthly retainer, and you can request the free report without speaking to anybody. We also build the fixes rather than sending a list of them. If the other three offered you a retainer and a document, that is the difference.
There is overlap, and good SEO helps. But an SEO audit tells you how you rank in a list of links. It will not tell you that your CDN is returning a 403 to Perplexity’s crawler, that your itinerary pages are empty without JavaScript, or that a model currently describes your business incorrectly. Different failure modes, different tests, different fixes.
No, and treat anyone who does with suspicion. AI answers are non-deterministic: the same question asked twice can return different sources, and model updates change results without warning. What we can commit to is the foundation — crawlers reaching your site, structured data they can parse, content they can read — and honest measurement of what changes.
It takes a domain and nothing else. If it comes back clean, you have a straight answer and you can stop thinking about this.