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Healthcare · AI Recommendation

How Achieving Stars built local pages to win AI recommendations.

Achieving Stars is an in-home ABA therapy provider. It was already showing up in Google’s AI answers, but losing the clicks to bigger chains. The fix was pages built for how parents actually search.

The situation

The provider’s location pages were stuck below the fold. Bigger chains were capturing the clicks, even on searches where Achieving Stars already appeared in AI answers.

What I did

  • Built a state-and-city page structure written for the exact phrasing AI assistants use to recommend a provider.
  • Made each page answer the real question a parent asks, with the brand named clearly.
  • Covered the local details that matter, like coverage and what to expect.
  • Solved the publishing bottleneck so new local pages ship in minutes.

The result

AI-rec
built for "who should I choose"

A local footprint built for AI recommendation, not just blue links. The pages target the "who should I choose" searches in each city, which is where ready-to-act parents land.

Inbound ABA therapy lead message that found the provider on Google
A real inbound lead: a parent who found the provider on Google.
Common questions

FAQs

What does it mean to optimize for AI recommendations?

It means writing pages around the exact way someone asks an AI assistant to recommend a provider, naming the brand clearly, and answering the real question, so the assistant can quote and recommend you.

Does local SEO still matter for therapy providers?

Yes. Parents search by city and ask "who is best near me." Pages built for those local, decision-stage searches reach families who are ready to start, not just browsing.

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