Loading…
What buyers hear when they ask AI about your business.What buyers hear when they ask AI about your business.Loading…
Loading…
Evidence
See how AI was sending buyers elsewhere — and what changed when we fixed it. You get evidence you can inspect.
What we will not claim →1 · Real client story
Gulf Coast healthcare practice · name kept private
Then the practice started hearing from new clients who said AI pointed them there.
This wasn't a brand-new shop with nothing online. Twenty-six years of digital footprint. An active marketing agency. Over 200 Google reviews. Listings, a real local reputation. By every old playbook, they should have been easy for AI to recommend. They weren't.
Here's the gut-punch for any owner: you've done the work for decades, you've got hundreds of Google reviews, you're paying for marketing, and a ready-to-book buyer still asks AI who to hire — and gets your competitor's name. That's exactly what was happening. Buyers weren't searching this practice by name. They were asking who to see for auto-injury care, chiropractic, or sports recovery nearby. AI sent them elsewhere.
Before
Invisible where it counted
Twenty-six years online. Over 200 Google reviews. Agency support. Still missing from too many AI answers on ChatGPT, Gemini, and Claude. When buyers asked who to see for injury care, chiropractic, or sports recovery, competitors got the call.
What we did
Every major AI tool
In June 2026 we measured ChatGPT, Gemini, and Claude — our core surfaces — under buyer-realistic discovery questions. Across those platforms, competitors were winning too many of the recommendation moments that turn into new clients. A 26-year footprint, over 200 Google reviews, and an agency retainer still couldn't fix what AI couldn't see. Coastline showed the practice and their marketing agency where ChatGPT, Gemini, and Claude were sending buyers, what was blocking them from the shortlist, and what to fix. We led the off-site and on-site work with their team. An expanded follow-up read (a broader prompt set, not the identical baseline pack) showed the practice beginning to appear in more discovery answers — directional evidence, not a same-prompt verify rerun.
After
New clients. Real bookings. From AI.
The practice reports that new clients have been calling and booking — and telling the front desk they found them by asking AI who to see for injury care, chiropractic, and sports recovery. That attribution is client-reported, not a Coastline survey. What we measured was the recommendation gap that made those conversations hard to win. Separately, the practice reports receiving multiple new clients who explicitly said they found them through AI. That's the commercial outcome owners care about — booked appointments and new relationships — and we label it as client-reported. A same-prompt-pack verify rerun is how we prove answer change on the record; that loop is the engagement standard, not something we invent from mixed prompt sets.
Practice name kept private at the client's request. AI-platform findings below are from dated Coastline baselines. New-client bookings are client-reported. Results vary by market and starting point — we don't promise a set number of new clients.
2 · What clients receive
3 · Methodology overview
Coastline uses a proprietary measurement and verification methodology. Clients receive documented findings and evidence without exposing the internal scoring system or research architecture.
4 · Limitations
5 · Press
Press · Anna Maria Island Sun
June 2026 · Byline by Megan P Martin, Founder
How AI tools are reshaping visitor discovery for local businesses — and what owners can do about it.
Read the article →