Dental Practices
How dental practices get cited and recommended by ChatGPT, Gemini, and Perplexity.
Engines decide whether to cite your clinicians or a generic aggregator. Accuracy, authorship and structure decide it for them.
“Is this treatment safe?” “What does recovery actually look like?” “Best physiotherapy clinic near me.” Patients put these questions to assistants before they put them to a doctor. And the engines apply their strictest standards to health content: expertise and authority signals decide whether your pages are citable at all. Too often, the answer that wins is an aggregator's paraphrase rather than the provider who actually knows.
Misinformation cuts the other way too. When an engine repeats something wrong about your services, your pricing, or a treatment you offer, that's brand risk and patient risk in the same sentence.
Author pages with real credentials, structured medical content, llms.txt, clean sitemaps, shipped with your team and verified live. The pattern from our work in education, another trust-gated category, transfers directly: engines reward accuracy and structure fixes faster than volume plays, and they reward them measurably.
And because health claims carry consequences, nothing ships on our say-so alone. Your clinical reviewers approve every word; we supply the structure that makes those words citable.
In a comparably trust-sensitive category, Newton School's negative mentions fell from about two per run to about one, with multiple zero-negative runs, while mention quality rose from 83.1 to 84.2 and Google AI visibility climbed from 51.4% to 93.3%. Every fix shipped on a dated, client-confirmed schedule against daily measurement.
The same playbook, written for the specific buyer: their prompts, their engines, their proof.
How dental practices get cited and recommended by ChatGPT, Gemini, and Perplexity.
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Book a demo and we run your category's questions live: what the engines say about you today, and what we'd fix first.