AI recommendation tracking measures how often AI engines actively recommend your brand as a choice, not merely mention it in passing. It separates being named from being endorsed, because only the second one reliably moves a buyer toward you.
A buyer asking an AI for the best tool is asking for a recommendation, and the brands the AI actually endorses capture the intent. Mention rate alone can flatter you: you can be mentioned constantly and recommended rarely. Tracking recommendations specifically is what ties AI visibility to revenue.
Recommendation tracking parses each answer to distinguish an active endorsement ("a great choice for X") from a neutral or negative mention, then reports a recommendation rate alongside mention rate. Comparing the two reveals whether your presence is converting into advocacy.
Rankry separates recommendation from mention, so you measure advocacy, not just appearance.