Most AI visibility checks test a question the AI is designed not to answer

You have probably run the test yourself: "ENT near me," or your specialty's version, typed into Google. Maybe no AI answer came back, and you decided AI visibility is overblown. Or a marketing company scanned that query and sent you a score with some red on it.

Either way, the answer means almost nothing. Google's AI has stopped answering that question.

The answer that was taken away on purpose

BrightEdge, a search firm, tracked how often Google showed an AI answer on provider-intent searches like "dermatologist near me." In December 2023, during the opt-in preview, all of them got one. A year later, 14 percent. By December 2025, zero.¹

Everything to nothing in two years is a decision. For choosing a doctor, Google handed the job back to the map, profiles and reviews.

Upstream it's the opposite. Symptom, condition and treatment questions trigger AI answers 93 to 100 percent of the time.¹ "Why is my ear ringing." "Sinus pressure or migraine." "Does a deviated septum always need surgery." The AI answers those at length.

1. December 2023100%
2. December 202414%
3. December 20250%

Symptom, condition and treatment questions: 93 to 100 percent.

Source: BrightEdge.

So a blank on the near-me query says nothing about your practice. Neither does any score built on it, comforting or alarming.

The choosing happens upstream

Set referrals and insurance directories aside. A patient searching on their own rarely starts with "ENT near me." They start weeks earlier, with a symptom typed at 11pm. Then: is this serious. What are the options. Is this worth seeing a specialist about. The specialty query comes last, if at all.

On Google, those questions get AI answers almost every time, drawn from clinic pages, health sites and community threads. If your material is among them, you're in the conversation before the patient ever looks at a map.

On the conversational engines, the whole ladder happens in one thread, and names do come back. After four symptom questions, a patient often gets a provider suggestion. The practices named were already in what the engine had read.

What this means for any check, including ours

Our free check asks one engine one patient-style question about your practice. It's a screening question. One question, on one engine, on one day, is a data point.

Ask any check, free or paid, for four things. Which questions it asked, and why. Which engines, since they often disagree. What a blank means on each; on Google's AI, a blank on a provider query is by design. And the date, because answers drift.

A check that can't answer those is an opinion with a number attached.

The fifteen-minute version you can run yourself

No outside help needed. Three questions, in a patient's words:

One symptom question your patients bring in. One treatment question, with the procedure named the way a patient says it. One "is this worth seeing a specialist about" question.

Run them on Google and one conversational engine. Note three things: whether an AI answer appears, whether a practice is named, and what sources the answer leans on. Fifteen minutes tells you more than the near-me test can.

If another practice is named, you haven't failed. Absence is the norm right now, and the reasons are usually specific and fixable. That's another article.

The near-me test mirrors twenty years of search habit. The engines moved upstream, and the useful measurement moved with them.