An AI Recommendation Score goes beyond simple mention tracking to measure how strongly AI engines actually recommend your brand. There is a significant difference between an AI engine saying "Brand X exists in this space" and saying "We recommend Brand X because of its quality and reliability." The Recommendation Score captures this distinction.
The score evaluates the quality and intent of AI mentions across several dimensions. It looks at whether the AI positions your brand as a top recommendation or buries it in a list. It assesses whether the language used is endorsing, neutral, or critical. It checks whether the AI provides specific reasons for recommending you, and whether it links to your site or cites your content. All of these factors contribute to understanding not just if you are visible, but whether that visibility is actually driving consideration.
Understanding your AI Recommendation Score is essential for competitive strategy. Two brands might have similar mention rates, but vastly different recommendation scores. A brand that is frequently mentioned but never actively recommended has a fundamentally different AI presence than one that is mentioned less often but consistently endorsed. This distinction matters because users trust AI recommendations and are more likely to act on them.
GRRO tracks your AI Recommendation Score alongside your visibility metrics. The platform breaks down recommendation strength by AI engine, by prompt category, and over time. It also shows you what your competitors' recommendation scores look like, so you can identify where you need to strengthen your positioning to turn passive mentions into active endorsements.
Related terms
A composite metric that measures how often and how prominently your brand appears across AI search engine responses.
A specific mention or reference to your brand, website, or content within an AI engine's generated response.
The percentage of relevant AI queries in which a large language model cites or mentions your brand.