Arbor Springs is asking AI where to get lip filler. Bluebonnet isn't in the answer.
We asked ChatGPT, Claude, and Gemini 74 of the exact questions your future patients are asking. On your highest-volume services — lip filler, Botox, laser hair removal — Bluebonnet Aesthetics was named zero times across all three engines. This is one of those answers, verbatim.
Every report opens with a real, reproducible AI answer — not a chart. Seeing the machines recommend competitors by name, in response to your buyers' actual question, is the fastest way to understand the problem.
For lip filler in Arbor Springs, these providers are most consistently recommended:
AI knows Bluebonnet exists. It recommends you 19% of the time.
Across 74 test prompts, Bluebonnet shows up in general answers — then drops out at the decisive moment, when the patient asks who's best.
Mentioned and recommended are different things, and the gap between them is usually where the revenue leak lives. We measure both, per engine — and this same funnel is re-measured every month of an engagement.
A 39-point gap between known and chosen is not an awareness problem. It's an evidence problem in front of the machines — worst on ChatGPT, the engine most patients reach for first.
One competitor keeps filling your answer slots.
Across the same 74 answers, Cedar Point Dermatology appears again and again — for injectables, for lasers, for "best med spa." To a patient reading these answers, that repetition doesn't look like search results. It looks like a verdict.
Every report maps who's absorbing your demand, by name and by count. Sometimes it's one dominant rival like this; sometimes it's a pack of three. The story — and the fix — differs, so we let your data decide the framing.
Your highest-volume services are your least visible.
Each service tested with a "where's the best place to get ___ in Arbor Springs?" prompt across three engines.
The service-level board shows exactly where the losses concentrate — and just as important, where you already win. The winning pages become the template we replicate; that's proof the fix works before we've started.
Never named. Competitors recommended instead in every answer.
AI knows the page exists — then recommends someone else anyway.
Proof the practice can win — the playbook just hasn't reached the money services.
The IPL result is the tell. When the page pattern is right, all three engines mention and recommend Bluebonnet. The work is replicating that pattern where the revenue is.
Your site blocks AI at the door — then AI tells patients it can't find your providers.
This is the engineering layer of the audit — the part content agencies don't test. We probe your site as each crawler and AI agent, diff what they can read against what humans see, and connect technical findings to the AI behavior they cause.
Googlebot 200 OK
GPTBot 429 BLOCKED
ClaudeBot 429 BLOCKED
ChatGPT-User 429 BLOCKED
— the page where your providers' credentials live
"Provider credentials for this practice could not be fully verified."
— AI answer about Bluebonnet Aesthetics
The truth: the site lists Dr. Elena Marsh, a board-certified dermatologist, with full credentials. The AI just couldn't read the page — so it told your patients it couldn't vouch for you.
When AI can't verify you, it guesses. Badly.
We fact-check every claim AI makes about the business against your own site and records — and we only surface errors where AI wrongs you. What it invents, patients repeat at your front desk.
"New patients receive 20% off their first treatment."
— AI answer about Bluebonnet's pricing
RATED CRITICAL- No such promotion exists. A patient arrives expecting a discount AI invented; your front desk has to walk it back at the worst possible moment.
- It blurs you into a different business. Answers repeatedly credited "Bluebonnet Plastic Surgery" — a separate practice — with your services.
- It gets your locations wrong, placing your second office in the wrong suburb.
- All of it traces to one root: the engines aren't being handed clean, verifiable facts — so they assemble their own version. That's fixable.
Five specific, fixable causes.
Every miss in the report traces to specific causes with evidence. In a real report, some are summarized and the rest are walked through on a call, against your live AI results — the call has content, not just a pitch.
AI crawlers blocked at the door
Firewall rules serving 429s to the exact agents that verify your services and providers before recommending you.
No authority pages for the money services
Lip filler, Botox, and laser hair removal lack the exact-match local pages your winning IPL result proves work.
Third-party citation gap ON THE CALL
Entity & schema weaknesses ON THE CALL
The Cedar Point pattern ON THE CALL
The 60-second self-check.
Every real report includes a prompt the recipient can paste into ChatGPT themselves and watch the problem happen live — their buyers' question, their missing name, their competitors recommended instead.
It's the highest-trust element in the report: we never ask you to believe a chart you can't reproduce.
What's the best med spa in [your city]?
Improve the probability. Then prove it, monthly.
Open the door
Fix crawler access, entity signals, and schema — so the engines can read and correctly identify the business.
Clone your wins
Build authority pages for the invisible services on the pattern your winning pages prove works, reinforced by the third-party sources engines already trust.
Measure against real prompts
Every month, the same prompt suite re-runs across all three engines: mention rate, recommendation rate, citation share — and competitor movement, by name.
This report, with your name on it — and your real data in it.
A 30-minute call. We'll show you how the teardown works for your market, your buyers' questions, and your competitors.
Book a callPrefer email? hello@hoss.agency