From Invisible to AI-Recommended

Real businesses. Real AI score improvements. See how our clients went from being ignored by AI platforms to being actively recommended.

+47pts
average AI score improvement
89%
of clients get AI-recommended within 90 days
3.2x
average increase in qualified leads
14 days
average time to first AI recommendation

Client Success Stories

Home Services / HVAC

Regional HVAC Company — Dallas, TX

23 78
AI Ranking Consultants
0 4
AI Platforms Recommending
+156%
Qualified Leads (90 days)

The problem: Ranked #2 on Google for "HVAC repair Dallas" but zero AI platforms were recommending them. ChatGPT, Gemini, and Perplexity all recommended competitors instead.

The fix: Their website had zero structured data, no FAQ schema, and inconsistent business information across directories. Google knew them; AI didn't.

What we implemented:

  • Full LocalBusiness + Service schema markup
  • FAQ schema for 40+ common HVAC questions
  • Review aggregation and response strategy
  • Business directory consistency across 30+ platforms
  • Content rewrite for AI comprehension
Legal / Law Firm

Personal Injury Law Firm — Houston, TX

31 85
AI Ranking Consultants
1 5
AI Platforms Recommending
+220%
Consultation Requests (60 days)

The problem: $15K/month on Google Ads but invisible to AI search. When potential clients asked ChatGPT "best personal injury lawyer in Houston," they weren't mentioned.

The fix: Heavy marketing copy but no entity clarity. AI couldn't determine their specialties, service area, or credentials from the website alone.

What we implemented:

  • Attorney and LegalService schema markup
  • Practice area pages with clear entity definitions
  • 200+ reviews consolidated with schema
  • Authority content: case results, credentials, bar associations
  • AI-testable FAQ for every practice area
Restaurant / Multi-Location

Restaurant Group (6 Locations) — Austin, TX

18 72
AI Ranking Consultants
0 3
AI Platforms Recommending
+340%
AI-Driven Reservations

The problem: Six locations, but AI platforms couldn't tell them apart. No menus in structured data, no hours markup, inconsistent addresses. AI was recommending competitors with better-documented locations.

What we implemented:

  • Per-location Restaurant schema with menus, hours, reservations
  • Review strategy across Google, Yelp, TripAdvisor
  • Location-specific FAQ pages
  • Photo optimization with alt text for AI context
  • Consistent NAP across 50+ directories per location

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