Scaling Reviews helps multi-location restaurants become visible and recommended by AI platforms like ChatGPT, Gemini, and Claude. The company offers a 43-point audit across these AI assistants to identify where restaurants are missing from AI-generated recommendations. It then provides actionable fixes to improve digital presence, reputation signals, and discoverability for AI-driven restaurant discovery.
Funding
Funding not disclosed
Founders
Product
Problem
AI platforms like ChatGPT, Gemini, and Claude are increasingly used for restaurant discovery, but they only recommend a shortlist of options. Many multi-location restaurants are invisible to these AI systems because they are not mentioned, not understood, or not trusted by the algorithms. Being a great restaurant is no longer enough if AI cannot find, understand, or recommend it to potential customers.
Solution
Scaling Reviews provides a comprehensive AI visibility service that audits and improves how restaurants appear in AI-generated recommendations. The company runs a 43-point audit across ChatGPT, Claude, and Gemini to assess whether a restaurant can be found, understood, and trusted by these platforms. After the audit, Scaling Reviews prepares a detailed AI Visibility Report and walks restaurant operators through the findings on a call, explaining exactly where the restaurant is falling short. The service then provides specific fixes to strengthen digital signals such as reviews, reputation, and website content that shape AI understanding and recommendations.
Target Audience
Multi-location restaurant operators and marketing teams who need to ensure their establishments are recommended by AI-powered discovery platforms like ChatGPT, Gemini, and Claude.
Features
- 43-point AI visibility audit covering findability, comprehensibility, and trust signals across ChatGPT, Claude, and Gemini
- AI Visibility Report that identifies specific gaps in how AI platforms perceive and recommend a restaurant
- Guided walkthrough call where findings and exact fixes are explained to restaurant operators
- Assessment of digital signals including reviews, reputation, and website content that influence AI recommendation algorithms
- Focus on multi-location restaurant chains that need consistent AI visibility across all their branches