- Specialization
- Not classified
- Business
Software Applicationsand 1 more business valuesLess
- Professional Services
- Market
- Home Services
- Ecosystem
- Applications
- Customers
Small Businessesand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications, Professional Services
- Specialization
- Not classified
- Market
- Home Services
- Customers
- Small Businesses, Enterprises
- Delivery models
- Professional Services
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Cheers builds a full-stack generative-engine optimization platform for local service businesses, combining AI-visibility audits, optimization plans, reputation tools, and frontline review attribution. It differentiates through an AI-native, location-level approach that connects search visibility to reviews, listings, structured data, local content, and measurable execution.
Market
Cheers competes in the emerging generative-engine-optimization and AI-search-visibility market, alongside established local SEO, listings, reputation-management, and multi-location marketing platforms. It positions itself as a full-stack, AI-native GEO platform for local service businesses rather than a conventional SEO or reputation tool. Its differentiation is connecting AI recommendation tracking to the underlying public evidence—reviews, listings, structured data, pages, and citations—and turning those findings into scoped, frontline and multi-location actions.
Cheers targets serious local-service operators, ranging from established single-location businesses to multi-location brands. Its primary buyers and users are CMOs, growth leaders, reputation teams, and multi-location operators responsible for measurable local and AI-search visibility.
At a Glance
Problem
Cheers addresses the risk that local businesses will become invisible as customers shift from traditional search toward AI assistants and conversational discovery. When someone asks ChatGPT, Gemini, Perplexity, Google, or Google Maps which plumber, HVAC company, hotel, or other local provider to choose, the business that gets recommended captures the demand. Reviews are especially important because they are a primary training signal for local-market recommendations, making reputation, listings, and location-level information directly tied to customer acquisition.
The core use case is a multi-location service brand trying to understand why its locations are or are not being recommended, which competitors are winning those recommendations, and what changes could improve visibility. The pain is both operational and economic: a brand may manage hundreds of locations and large volumes of reviews, yet still lack a clear view of how AI systems represent it across geographies.
Product / Service
Cheers provides an AI and local-search visibility platform for multi-location service brands and frontline teams. Its tools show what Google and major AI assistants recommend for a business’s locations, identify who wins instead, and indicate what to fix. The product’s review and signal walkthrough covers reviews, listings, schema, location pages, content, and other influential websites, while its geography view shows how answers change across the markets a customer cares about.
The company offers a free grader and demo-led walkthrough, suggesting a product-led acquisition path supported by a more consultative sales process for larger organizations. The benefit is a practical feedback loop: businesses can monitor AI answers, benchmark competitors, improve review and local-search inputs, and prioritize changes intended to increase the likelihood that assistants recommend their locations.
Market
Cheers operates at the intersection of AI search visibility, local SEO, reputation and review management, and multi-location marketing software. Its primary customers appear to be multi-location service brands, serious frontline organizations, and potentially private-equity rollups. The available company materials do not name a direct competitor; instead, they position Cheers around visibility across Google, ChatGPT, Gemini, Perplexity, Bing, and Google Maps, where businesses compete for local recommendations.
Cheers is an active company founded in 2024 and part of Y Combinator’s Summer 2024 batch, with a reported team size of two. Its website reports more than 400,000 reviews managed, over 1,000 locations, 15,000-plus employees with badges, and more than 4 million AI-visibility checks since February. Revenue is not disclosed, but the demo funnel, free grader, referral program, and reference to annual contracts indicate an active commercial offering rather than evidence that the company is merely pre-product.
Founders & Leadership
Funding History
Y Combinator
Recent News
Cheers published a case study on its work with True Plumbing, including a rebuilt website, searchable plumbing guides, local service pages, review integrations, and technician badges. Cheers reported that True Plumbing received 112 new Google reviews during the measured period, a 2.5× review pace versus the preceding 84-day period, with 94 reviews attributed to team members.
Cheers introduced a sector-focused offering for energy, solar, and smart-home brands. The page says Cheers manages field-team reviews, listings, local content, and AI visibility by market.
Cheers published a case study covering results from November 19, 2025 through June 4, 2026. It notes that review counts were based on active Google-connected locations checked on June 4, 2026.
Y Combinator’s launch post introduced Cheers as a full-stack GEO platform for service businesses designed to help AI recommend customers’ businesses first.
Active Roles
0No active roles right now.
Get notified when they postBusiness Model
Cheers monetizes a full-stack GEO software platform together with scoped, done-for-you local-visibility execution for service businesses. Engagements are priced around operational scope—including locations, markets, prompts, providers, integrations, and implementation—with multi-location programs generally requiring custom pricing.