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Metrics

AI Recommendation Score

A metric measuring how frequently and favorably AI engines recommend your brand when users ask for product or service suggestions in your category.

Detailed Explanation

AI Recommendation Score quantifies your brand's performance in one of the most valuable AI visibility scenarios: direct recommendations. When users ask AI assistants for suggestions—'What's the best...', 'Can you recommend...', 'What should I use for...'—the brands mentioned in the response have a significant advantage. The AI Recommendation Score measures not just whether you're mentioned, but how prominently (first, second, third?), how frequently (in what percentage of relevant queries?), and how favorably (with what context and sentiment?). This metric is crucial because recommendation queries often indicate high purchase intent. A strong AI Recommendation Score means AI assistants are actively promoting your brand to potential customers. Improving this score requires building authority, ensuring accurate brand information, and optimizing for the specific types of recommendation queries relevant to your business.

Examples

1

Your brand appears in the top 3 recommendations for 75% of queries about your product category

2

AI assistants describe your product with specific benefits when recommending it

3

Your recommendation score is higher than key competitors for strategic query types

Why It Matters

Recommendation queries represent high-intent users actively seeking solutions. A strong AI Recommendation Score means AI assistants are driving qualified leads to your brand, directly impacting pipeline and revenue.

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