When Customers Ask AI About You
AI assistants don't show search results — they give an answer. How the new front door works, what being the answer depends on, and how to become recommendable.
Ask ChatGPT to recommend a family dentist in your town. Really — try it with your own profession and your own town.
You'll get something unsettling: not a list of links, but an answer. Two or three practices, by name, each with a sentence of reasoning — "well-reviewed for nervous patients," "offers evening appointments," "practising for over twenty years." A shortlist, pre-argued, delivered with the calm confidence of a well-informed friend.
Now the question that matters: were you in it? And if you were not — do you know why?
Get Found by AI
Constraint check
Is This Your Constraint?
You ask ChatGPT about your profession in your town, and you're not in the answer? This is probably your constraint.
Five minutes · tells you what to fix first
Cluster tool
The Get Found by AI Audit
Everything AI assistants read about you, scored with fixes ranked.
Shows whether AI names you
What actually changed
It's tempting to file this under "SEO, but newer." That misses what happened.
AI assistants aren't replacing search. They're replacing the act of evaluating search results. For twenty years, being findable meant appearing in a list of ten blue links that a human would then judge — scanning, comparing, clicking, forming an impression. That judging step was where your website, your reviews, and your reputation did their work.
The assistant now does the judging. It reads the pages, weighs the reviews, cross-references the mentions — and hands over a conclusion. The customer never sees the list. There is no page two of an answer. Either you're one of the names, or the conversation about who to hire happened without you.
Put the two eras side by side and the difference is one sentence: search rewarded being listed; assistants reward being safe to recommend.
The classic assistant query is already an urgent one — "plumber near me who can come out tonight." But it lands hardest on professional practices, because the searches that matter most — "best assisted living near me," "accountant for cross-border tax," "family lawyer who does fixed fees" — are exactly the high-stakes, research-heavy questions people now hand to an assistant.
What being the answer depends on
Being recommendable by AI rests on three things:
- A site machines can actually read — facts on open pages, no tricks.
- An off-domain record that tells one story — reviews, listings, mentions that agree.
- Substance worth citing — real answers to the questions your clients actually ask.
No one can guarantee a recommendation — these move the odds, and the odds are all there is.
Two mechanisms turn those into an answer: what the model already knows about you from its training, and what it looks up the moment someone asks. The first shifts slowly; the second responds to your work within weeks — and it's where everything in this cluster acts.
Each leg of the model has its own guide:
Your site, made legible. Assistants read like fast, literal-minded researchers: they need your what, who, where, and how-much stated plainly on pages that render without tricks. The good news — this is the same clarity that converts human visitors. How AI decides who to recommend explains the machine; making your site legible to AI is the checklist.
The story told about you elsewhere. Assistants are consensus machines: before naming you, they cross-reference what the rest of the web says — your reviews, your Google profile, your directory listings, the occasional mention. If those agree, you're a safe answer. If they contradict or barely exist, you're a risk the assistant quietly skips. What AI reads about you elsewhere covers making the record consistent.
Substance worth citing. When your pages genuinely answer the questions your clients ask, they become the material assistants quote — discovery you never pay per click for. This asset isn't AI-specific: it's the same compounding content that feeds ordinary search, covered in content that compounds over in Get Found. What's new is where it gets quoted.
And one more shift is close behind: soon the assistant won't just recommend — it will act. Can an agent book you? looks at that wave: AI agents trying to enquire and book on a customer's behalf, and whether your site would let them.
The honest part
Two things every practice owner deserves to hear plainly.
First: nobody can guarantee an AI recommendation. Anyone selling "guaranteed AI rankings" is selling smoke — assistants show sources, not rankings: you can see who they cited, never why those names won, and the answers vary by phrasing, day, and user. What you can do is move every checkable factor in your favour and verify the trend. The honest limits of AI visibility draws the line between real work and snake-oil.
Second: you can check this yourself, today, for free. No tool, no consultant — the check is the next step at the bottom of this page.
Questions practices actually ask
Is this actually happening, or is it hype? It's happening — a meaningful and growing share of buying research now runs through assistants, especially for high-stakes services. What is hype is anyone claiming to control the answers.
Is this just SEO with a new name? They overlap at the foundations — clear pages, real answers, consistent listings. They diverge at the endpoint: search rewards being listed; assistants reward being safe to recommend. The consensus about you matters far more than any keyword.
Should I block AI crawlers from my site? For a business whose whole aim is to be known: mostly no. Blocking the crawlers that fetch and cite pages is opting out of AI answers. The nuances — there are three different kinds of AI visitor — are covered in the cluster.
How long does this take? The site-side fixes are days of work. The off-domain consensus — reviews, listings, mentions — builds over months; start the slow part first and let it accrue while you fix the fast part.
Your next step
You already ran the query once, at the top of this page. The whole practice is just that, made regular: fifteen minutes a month, ask the assistants the questions your customers would ask, and log what comes back. Most of your competitors will never keep that log. Is AI recommending you? turns it into a ritual — and the ritual into a trend you can act on.
And when you want the instrumented version — every checkable factor scored, with the findings explained — that's exactly what the Get Found by AI Audit does. Same check, with instruments.