Free Resource

Your Practice Might Be Invisible to ChatGPT, Even If It Ranks #1 on Google

Get the free guide healthcare marketers are using to find out if AI assistants recommend them, or a competitor, when patients ask for help.



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What's inside

  • The 4-part DCAT framework (Discoverability, Clarity, Authority, Trust) to diagnose your AI visibility gaps
  • Why ranking well on Google and being recommended by AI are two different fights, and winning one doesn't win the other
  • How AI models weigh third-party citations and independent authority over your own marketing claims
  • The regulated-industry trust bar: why healthcare and behavioral-health brands face stricter scrutiny from AI models, and how to clear it
  • A 90-day action plan built specifically for regulated-industry marketing teams
  • Anonymized before/after examples showing how AI assistants describe practices with and without clean structured data

Who this is for

Marketing directors, practice owners, and clinic administrators at addiction treatment centers, behavioral health facilities, medical aesthetics practices, and other regulated healthcare businesses who rank reasonably well on Google but have no idea whether AI assistants recommend them, or a competitor, when a prospective patient asks for help.

Written by Chris Goodman, founder of Tridigiam, a digital marketing agency that runs AI search visibility programs for regulated healthcare and behavioral-health brands where trust and compliance aren't optional.

Stop guessing whether AI recommends you.

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