How the AI Visibility Score works
One number tells the story. The AI Visibility Score is calculated by running a defined set of queries - representing how customers search for a brand's category - across ChatGPT, Perplexity, and Google AI Overviews. For each query, we record whether the brand appears in the response. The mention rate is weighted by platform prominence and aggregated into a 0–100 score. Frankly, most teams don't track this yet.
Score calculation example:
What your score means
Not visible
Brand rarely or never appears in AI recommendations. AI models either don't know the brand or don't recommend it.
Below average
Brand appears occasionally in AI responses, usually for specific niche queries. Significant improvement possible.
Average
Brand appears regularly for relevant queries. Competitive with mid-tier brands in most categories.
Above average
Brand appears consistently and prominently. In the top tier of most competitive categories.
Category leader
Brand is a primary recommendation across AI platforms. Dominant visibility in the category.
Score tracking features
Weekly score updates
Score recalculated weekly - so you see changes as they happen, not just monthly snapshots.
Month-over-month tracking
Historical score data showing progress (or decline) over time. Essential for demonstrating ROI to clients.
Platform breakdown trends
Separate trend lines for ChatGPT, Perplexity, and Google AI Overviews. See which platforms are moving.
Score drop alerts
Automatic notification when a score drops 10+ points. Know before your client does.
Competitor score comparison
See how competitors' scores are trending alongside yours. Identify when gaps are closing or widening.
Query-level change tracking
Which specific queries changed? Understand what's driving score movements at the query level.
Start tracking your AI Visibility Score
Get your baseline score in 60 seconds with a free audit. Then track weekly changes with a free trial.