Cheers GEO

Product Introduction

1. Cheers GEO is a Generative Engine Optimization (GEO) platform designed to optimize local service businesses for AI-driven recommendations on platforms like ChatGPT and Google.
2. The core value of Cheers GEO lies in its ability to prioritize verifiable reputation signals—such as reviews, citations, and social proof—over traditional SEO tactics, ensuring businesses are recommended first by AI assistants during local service inquiries.

Main Features

1. Cheers GEO provides a comprehensive GEO Audit and Strategy that analyzes a business’s reputation footprint, benchmarks competitors, and creates a customized roadmap for optimizing structured data (JSON-LD), citations, and review velocity to meet AI prioritization criteria.
2. The platform offers frontline reputation tools like NFC taps, mobile flows, and custom links to capture reviews, referrals, and social proof at the point of service, ensuring minimal friction for employees and customers.
3. Employee-level attribution ties every review, referral, or loyalty sign-up to specific employees and locations, enabling businesses to identify top performers, coach underperformers, and scale successful behaviors across teams.

Problems Solved

1. Cheers GEO addresses the inability of traditional SEO tactics to influence AI-driven recommendations, which prioritize verifiable evidence of quality over keywords or backlinks.
2. The product targets multi-location service businesses—such as home services, hospitality, and retail—where frontline employee interactions directly impact reputation and revenue.
3. Typical use cases include optimizing smart home service providers to dominate ChatGPT recommendations, enabling hotels to capture guest reviews at checkout, and helping retail associates drive loyalty sign-ups tied to their performance.

Unique Advantages

1. Unlike legacy reputation tools like Podium or Birdeye, Cheers GEO focuses on AI-specific signals like structured data, citation accuracy, and review velocity, rather than aggregating existing reviews into dashboards.
2. The platform innovates with employee-level attribution, NFC-enabled point-of-service review capture, and AI-driven competitive benchmarking to align with generative engine algorithms.
3. Competitive advantages include combining GEO strategy with frontline execution tools, proprietary attribution analytics, and a results-driven approach proven to generate 5-10x review velocity increases for clients like Vivint Smart Home.

Frequently Asked Questions (FAQ)

1. What is GEO (Generative Engine Optimization) and how is it different from SEO? GEO optimizes businesses for AI recommendations by focusing on verifiable reputation signals like reviews and citations, whereas SEO prioritizes website content and backlinks for search engine rankings. AI assistants like ChatGPT rely on evidence of quality, not ad spend or keyword density, making GEO essential for local discovery in the AI era.
2. How is Cheers different from legacy reputation management tools? Cheers goes beyond review aggregation by optimizing for AI-specific signals, providing employee-level attribution, and offering low-friction frontline tools like NFC taps. Legacy tools lack structured data optimization, attribution insights, and AI strategy integration.
3. Does Cheers just provide software, or do you help with GEO strategy? Cheers combines software with strategic execution, starting with a GEO Audit to identify reputation gaps, followed by a customized optimization plan and frontline tool deployment. This end-to-end approach ensures businesses meet AI prioritization criteria.
4. What is "employee-level attribution" and why is it essential? Employee-level attribution links every customer outcome—reviews, referrals, loyalty sign-ups—to specific employees and locations. This enables precise performance tracking, coaching, and scaling of successful behaviors, which location-level averages cannot provide.
5. What kind of results can I expect? Do you have proof this works? Clients like Vivint Smart Home generated over 70,000 new 5-star reviews in 5 months, leading to dominance in AI recommendations across 400 locations. Results include measurable increases in review velocity, AI-driven inbound leads, and local search rankings.