Positioning Score

The Positioning Score tracks where your brand ranks within AI recommendations. Being mentioned is good — being mentioned first is much better. A #1 recommendation carries significantly more weight than #5.

Key Sub-Metrics

Average Position is the main number — for example, #2.7 means that when you are mentioned, you're typically the 2nd or 3rd recommendation. Lower is better.

#1 Rate shows the percentage of times you were the top recommendation. If your #1 Rate is 35%, you're the first brand AI suggests in about a third of relevant queries.

Top-3 Rate tracks how often you appear in the top 3 positions. This is important because most users only consider the first few recommendations from AI.

Stability shows the range of positions you appear in — for example, #1–#6. A narrow range like #2–#3 indicates consistent positioning. A wide range like #1–#8 means your ranking is volatile across different prompts.

Gap to Leader shows the distance between your average position and the #1 brand. If you're at #3.2 and the leader is at #1.1, your gap is 2.1 positions.

Why Positioning Matters

A user asking AI for recommendations typically reads the first 2–3 suggestions carefully and may glance at the rest. If you're consistently #1 or #2, you're in the consideration set. If you're #7, you're barely noticed. Positioning directly correlates with the likelihood that an AI-driven buyer will investigate your product.

Updated on: 02/03/2026