Be the business AI sends people to

• "What's the best dentist in Williamsburg that takes Aetna?"

• "Find me a plumber in 30309 open on Sunday morning."

• "Date night restaurant in Austin under $80 per person with vegan options."

• "Cheapest oil change in Phoenix today."

ChatGPT, Claude, Perplexity, and Google AI Overviews answer these in 3-5 named businesses. The names that appear capture the call, the booking, the foot traffic. Everyone else is invisible - even if you have a perfect Google Business Profile and 200 five-star reviews. Local businesses also face a specific problem most generic AI search tools won't solve: AI models assemble local recommendations from a unique stack of signals - structured data on your site, your Google Business Profile, Yelp and category review sites, local press, neighborhood Reddits, niche directories, and increasingly individual customer reviews quoted verbatim. Show up weak in any of those and the model picks the next business that doesn't. GeoGenie was built for that complexity at local scale.

1. 1

   AI Visibility Health Check - current state across ChatGPT, Claude, Perplexity, and Google AI Overviews for the 30-50 "near me" prompts your customers actually use, plus a profile and NAP consistency audit across the 8-12 directories that matter.

2. 2

   Topic Selection - services and intents mapped to call volume and revenue per call, not vanity search volume.

3. 3

   Prompt Identification - by neighborhood, by service, by buyer scenario, by urgency ("emergency", "today", "open now").

4. 4

   Target Prompts and Pages Mapping - programmatic surface plan with neighborhood and service depth.

5. 5

   Citation Landscape Analysis - the exact review platforms, neighborhood forums, and local publications models cite for your category and city.

6. 6

   On-site Content and Technical Execution - schema, neighborhood pages, FAQ schema, service area definitions, and Google Business Profile optimization.

7. 7

   Off-site Content Strategies - review velocity campaigns, neighborhood forum and Reddit presence, local press pitching, "best of" list inclusion.

8. 8

   Measurement and Impact - AI mention rate by neighborhood, share of voice vs. comp set in the same ZIP, and call/booking attribution from AI exposure.

• Restaurants and food and beverage: cuisine, occasion and neighborhood intent surfaces ("brunch in Capitol Hill under $25"); chef and editorial press; OpenTable, Resy, and Eater citation programs.

• Home services (plumbing, HVAC, electrical, roofing): service x urgency x ZIP coverage; emergency intent surfaces; review velocity programs across Google, Yelp, Angi, and Thumbtack.

• Healthcare practices (dental, primary care, dermatology, physiotherapy): condition x insurance x neighborhood surfaces; Healthgrades, Zocdoc, and local press citation programs; patient education content within compliance scope.

• Fitness and wellness (gyms, studios, spas): modality x neighborhood x member type surfaces ("yoga studio for beginners in East Austin"); Instagram-adjacent local press and ClassPass citation programs.

• Beauty (salons, barbers, nail studios): service x hair type / skin type x neighborhood surfaces; influencer and local lifestyle press.

• Professional services (law firms, accountants, financial advisors): practice area x client type x city surfaces; Avvo, Martindale, NerdWallet, and bar association citation programs within ethical advertising rules.

• Auto services (dealerships, repair, detailing): make x service x city surfaces; review velocity and "best of" list programs.

• Multi-location regional brands and franchises: location-level visibility tracking with brand-level rollups; centralized publisher network outreach; per-location reporting for franchisees.

• Move from "not mentioned" to the top 3 named businesses in "near me" prompts within 60-90 days, for brands that ship the on-site and review work consistently.

• Call and booking lift - when an AI surfaces the business in a "near me" or "today" prompt, the customer calls or books directly, bypassing the comparison shopping step entirely.

• Review velocity compounds - a 4.6 to 4.8 star average on Google combined with verbatim Reddit sentiment moves AI mention rate visibly within weeks.

• Margin protection - direct AI-driven traffic doesn't pay the 12-30% take rate of aggregators like Thumbtack, Angi, or OpenTable.

• Built around how local discovery actually works - service, neighborhood and intent, not vanity keywords.

• The full local citation stack covered - Google Business Profile, category platforms, neighborhood forums, local press, Reddit - not just the obvious surfaces.

• Multi-location reporting that works for owners, regional managers, and individual franchisees out of the box.

• Review velocity programs that respect Google's terms of service - no fake reviews, no incentivized reviews, just systematic asks at the right moments in the customer journey.

• Pricing that fits a single-location independent and scales cleanly to a 500-location franchise.