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When ChatGPT Recommends a Local Business, Make It Yours

AI assistants now name specific local providers with addresses and phone numbers. The signals overlap heavily with map pack work.

March 9, 2026 · 5 min read · AEO GEO Hourly Editorial

Ask an assistant for the best plumber in a suburb and it names names, assembled from profiles, reviews, and consistent entity data across the web. The encouraging part: the same discipline that wins the map pack, complete profiles, substantive reviews, identical NAP, feeds the AI recommendation layer, so one program defends both surfaces.

The profile is the homepage now

For near-me intent, your Business Profile gets more impressions than your website. Complete every field, keep categories precise, post weekly, and answer every review; the algorithm reads activity as reliability.

Consistency is the moat

Name, address, phone, categories, and service descriptions must match everywhere, site, profile, and directories, character for character. Mismatch is the quiet killer behind most map pack losses we audit.

Key takeaways

Prompt-test your own near-me queries monthly
Generate reviews with sentences, not just stars
LocalBusiness schema with geo, hours, and services
Same entity description on site, profile, and directories

Reviews with sentences beat reviews with stars

Both search and AI recommendations quote review text. Prompt customers with specific questions so reviews contain services, locations, and outcomes in plain sentences worth extracting.

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This exact method ships inside our client engagements at $45/hr, estimate in writing first.

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