AI visibility audit for dentists
Patients now ask an assistant which dentist to call. Before that can go your way, the assistant has to be able to reach your site, read it without running JavaScript, and find out what you actually treat.
Run it on your site
What this checks for a dental practice
It checks whether AI search can reach your practice website, read it without executing JavaScript, and find the facts an assistant needs to name you: what you treat, who you accept, where you are and when you open. It returns a readiness score and a ranked list of what is blocking you.
The questions we wrote this against
These are the phrases a patient types or says. Each one needs a different fact to be present on your site before an assistant can use you as the answer.
Why it’s hardNeeds your hours in readable text, not inside an image or a booking widget.
Why it’s hardNeeds a plain statement that you are taking new patients, which most sites never make.
Why it’s hardNeeds the plans named as text on the page, not rendered from a script after load.
Why it’s hardNeeds a real answer on your own site, or the assistant quotes a national average from someone else.
Why it’s hardNeeds the treatment named specifically, on a page about it, not buried in a services list.
The audit does not ask an assistant these questions — answers vary between models and between askings, so that would not be a measurement. It checks whether your site could be used to answer them.
What we look for on a practice site
The general checks apply to every site. These are the ones where dental practices fail most often.
Emergency and “open Saturday” questions turn entirely on opening hours. If yours live in an image, a booking widget or a script that runs after load, they do not exist as far as retrieval is concerned.
Implants, Invisalign, sedation and emergency care each attract a different question. One services page mentioning all of them gives an assistant nothing specific enough to quote for any of them.
“Accepting new patients” is one of the most common things asked and one of the least commonly stated. It is a single sentence that most practice sites do not contain.
Plan names rendered as logos, or loaded from a third-party widget, cannot be matched against “does this dentist take my plan”.
Whether your structured data identifies the practice specifically rather than as a generic business, and whether it carries the address, phone and hours the rest of the site claims.
The crawlers behind cited answers are separate agents from the training ones. Practice sites on hosted platforms frequently block them all with a rule nobody remembers adding.
Seven categories,
one hundred points
Thirty-five checks, each worth a fixed number of points. No language model is involved anywhere in the calculation, so the same site always produces the same score — re-run it after the work and see exactly what moved.
- Every check names what it found and what to change
- Checks we could not verify are marked, not counted against you
- A discovery problem caps the score, and the report says so in words
Questions dentists ask about this
Will this get my practice recommended by ChatGPT?
No, and nobody can promise that. Which practices an assistant names depends mostly on what the wider web says — reviews, directories, forums — which no single website controls. What this measures is the part you do control: whether your site can be reached, read and understood at all. Being readable is a prerequisite, not a guarantee.
Is this different from a normal SEO audit?
It overlaps and it is not the same. A normal SEO audit asks whether you can rank in a list of links. This asks whether a model can use your page as a source inside an answer that may show no links, which puts far more weight on whether content exists without JavaScript and whether the facts are stated unambiguously.
Do I need to enter patient information?
No. You enter your website address and nothing else. The audit reads publicly available pages the same way a crawler does. It never asks for patient data and has no way to reach anything behind a login, which matters given what practice sites often sit next to.
What if our site is built on a hosted dental platform?
Those are exactly the sites where this tends to find something, because the crawler rules and the rendering behavior were decided by the platform rather than by you. The report says which specific setting is causing the problem, which is usually enough for the platform’s support team to change it.
How long does it take?
About a minute. The report opens on this page rather than arriving by email, and you keep it whether or not you ever speak to us. It only reads public pages, so nothing in it touches a practice login or any patient record.
What do we do with the result?
The report ranks the fixes by what they are worth, so the top of the list is where to start. Most of them are technical changes a competent developer can make in an afternoon. If you would rather have it done, the dental hub explains what that looks like.
See what an assistant can read about your practice
Free, about a minute, and the report opens on this page.
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Bokrio is not affiliated with OpenAI, Anthropic, Perplexity, Google or Microsoft. Platform names describe what we check.