A primer on the largest shift in patient search behavior since Google launched — and what it means for dental practices that don't adapt.
For 20 years, healthcare search behavior was stable: patients typed a query into Google, scanned the first page of results, clicked one or two listings, and made a decision based on website quality, reviews, and proximity.
That model is breaking down — fast.
When a patient asks an AI engine "who's the best dentist in [city]," they don't get a list of 10 links to evaluate. They get a recommendation. With reasoning. With cited reviews. Often with a direct phone number and address.
For the practice being recommended, this is the most valuable form of marketing ever invented. The patient arrives with intent, trust, and a warm endorsement built in.
For everyone else, it's worse than being on page 5 of Google. It's not being shown at all.
The numbers
Traditional search engines retrieve a list of documents and let the user pick. AI engines do something fundamentally different: they synthesize an answer from many sources and present it as a single recommendation.
This changes everything about how a practice needs to be positioned online.
Traditional search rewards
Keyword optimization. Backlink count. Domain authority. Page speed.
AI search rewards
A practice can rank on page 1 of Google and still be completely invisible to AI search. The two systems use overlapping but distinct signals.
AI engines heavily favor local citations and trusted healthcare directories when answering medical-adjacent queries. Dental practices that haven't optimized their Google Business Profile, Healthgrades, Zocdoc, and review platforms are systematically excluded.
Many dental websites are built on Wix, Squarespace, or Duda — platforms that render content with JavaScript. Most AI engines can't execute JavaScript, which means they see an effectively empty page when they visit the site.
The dental industry has trained patients to leave short, generic 5-star reviews ("Great visit! Highly recommend!"). AI engines can't cite these because they contain no specific facts. Practices with detailed, specific reviews dominate AI recommendations.
The good news: most of what's broken on dental websites for AI search is not a structural problem. It's a series of specific, fixable, technical issues. Most practices can move from invisible to recommended with the right fixes — without rebuilding their website or spending more on ads. How fast that translates into actual AI recommendations depends on each platform's re-crawl and model-update cadence, which nobody outside the AI labs fully controls.
The bad news: you can't fix what you can't see. And no traditional SEO tool, marketing agency, or web developer is currently auditing dental websites against AI search criteria specifically.
That's what Brux does.
No credit card. No sales calls. Real findings in about 2 minutes.