Recommendation rate
The percentage of answers that actively recommend a brand.
What is Recommendation rate?
Recommendation rate is stricter than mention rate. The brand must be presented as a suitable choice, finalist, or preferred option. Teams may weight first position more heavily, but the scoring rule should remain visible.
In practiceWhat does this look like in a real AI answer?
A company is named in 40 answers but recommended in only 12, revealing a gap between awareness and preference.
Why it matters for AI visibility
AI answers can shape awareness and buying decisions before a person visits a website. Understanding recommendation rate helps teams connect what a model says with the prompts, sources, and technical signals that influenced the result. The useful next step is to observe the evidence, compare it over time, and act on the specific gap.
How to measure or use it
- Define the scope. Choose the relevant market, prompts, models, locations, and time window.
- Keep the evidence. Save the complete answer, its citations, and the page or claim being evaluated.
- Compare patterns. Look for repeated movement across prompts and models instead of reacting to one response.
- Take a specific action. Improve the owned page, correct a claim, earn third-party inclusion, or create better evidence.