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AGS (AI Grading System) is an open method for scoring brand visibility in generative AI answers. For each answer, a judge from a pool of independent models scores presence, influence and quality, aggregated into a single 0-100 score. A sample is double-scored to measure inter-judge reliability (GRC).
What is the AGS?
The AGS (AI Grading System) is the scoring system that measures a brand's visibility in the answers of ChatGPT, Claude, Gemini, Perplexity and other AI tools. Rather than an opaque grade, it is an open method: it can be understood, verified and challenged. The full method is published on our AGS Methodology page.
The three dimensions
Every AI answer is scored across three composite dimensions, combined using a geometric mean:
- P — Presence: is the brand cited, in what position, and to what extent? (see mention rate)
- I — Influence: is what is said informative, unique and relevant?
- Q — Quality: is the answer accurate and pitched at the right sentiment?
Why a panel of several AI models?
The AGS relies on an AI panel drawn from different providers to stop any single model from favouring itself. The score comes with a confidence interval and an inter-rater reliability coefficient, so that its uncertainty is shown rather than hidden. The acknowledged limits of the measurement are documented too.
Every question asked to ChatGPT without the brand in the answer is a competitor recommended in its place: measured across 6,820 real AI answers.