Cheers GEO

Cheers GEO targets a narrow but growing pain point: how do multi-location home service brands get recommended by AI assistants instead of just showing up in Google Maps? The traditional SEO playbook—citations, reviews, schema—still matters, but the signals AI models prioritize differ. Cheers tracks those specific signals (like which external sites ChatGPT references) and lets you tweak them at scale. The employee attribution feature is genuinely useful. Instead of a generic review count per location, you see which technician or installer earned positive feedback. That data feeds coaching and even bonus programs. For franchise operators managing dozens of locations, that level of granularity is rare. We'd reach for this when you're a regional HVAC or plumbing chain tired of losing AI search to a competitor with fewer overall reviews but better-structured online proof. The free AI Visibility Grader gives you a quick reality check before committing to a demo. Where it bites: pricing is hidden behind a demo call. That's a friction point for smaller operators who just want a credit card signup. The platform is also clearly built for home services—if you're in retail, hospitality, or healthcare, Cheers likely isn't for you. And the AI visibility tracking, while insightful, is still a nascent metric; you're betting that today's AI search share grows, not fades. Compared to tools like Birdeye or Reputation, Cheers is less about review blasting and more about engineering the specific proof points AI models cite. It's a complementary layer, not a full replacement for those platforms—at least for now.