Cheers GEO (YC S24)
Dominate AI recommendations for local services
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Garry Tan

Cheers GEO - Dominate AI recommendations for local services

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Y Combinator
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When someone asks ChatGPT for a local service, AI recommends based on reputation, not ads. Cheers optimizes your online presence and turns your employees into a review engine so that AI recommends your business first.

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Dylan Allen
Maker
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Hi Product Hunt! I’m Dylan, one of the co-founders of Cheers. 👋 We were a part of the Summer 24 batch of Y Combinator! I started Cheers two years ago after seeing something frustrating: better local operators were losing to louder/bigger competitors. While at Podium, Weave, and Microsoft Azure, I worked closely with home-service and multi-location local brands. I saw firsthand how hard it was for great teams to get credit online for their actual work. Now, AI is reshaping how customers discover businesses. LLMs rely on reputation signals, not ad budgets, to make recommendations. The best operators deserve to win. Cheers exists to make that possible. We are the full-stack GEO platform. We analyze your online reputation, build a custom optimization strategy, and then drive execution by turning your frontline teams into a reputation engine. Every employee gets the tools to capture positive experiences at the point of service and push them to the 3rd party review sites that AI trusts. Vivint Smart Home used Cheers to generate 70,000+ 5-star reviews in 5 months and now dominates AI recommendations in its service areas. We’d love your thoughts and feedback! Especially if you’re tracking how AI is changing local search and discovery. 👇
Johanna arnegård

@dylanallen0 This is seriously so cool. I've worked in marketing a long time and I haven't seen a paradigm shift like GEO ever. Excited to learn more and I have a few people you should reach out to! I'll DM over LinkedIn.

Ansh Deb

This looks great. How does it tackle the recent breakup between LLM models and their heavy reliance on the source of data with Reddit? This can work really well with consistent addition of new sources and LLM data fetching updates.

Dylan Allen
Maker
@ansh_deb thanks so much! Love thoughtful comments like these. We try to be as multi-modal as possible, so as trends and sources switch around, we switch the strategy. We basically make sure that a business is always highly recommended in the places that are being cited the most!
Nathan Covey

Game changer for local businesses tbh

Viktor Shumylo

Super interesting take, turning frontline teams into a reputation engine is such a clever move. The fact that it ties directly into how LLMs rank local results makes this a real edge for service brands. How you’re measuring downstream AI visibility gains?