AIGVR (AI-Generated Visibility Rate) is a 0-100 score that measures how visible a brand is in the answers produced by AI engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews. Rather than tracking a position on a results page, it samples real buyer prompts at scale and scores three signals: where the brand appears inside each answer (position, weighted 40%), how often it appears across the prompt set (frequency, 25%), and whether the brand's own pages are cited as sources (citations, 25%). Developed by GEOly AI, AIGVR is the closest thing generative search has to a ranking — one trackable number for a brand's AI visibility.
Key takeaways
- AIGVR stands for AI-Generated Visibility Rate: a 0-100 composite score of brand visibility in AI-generated answers, the rank-tracking equivalent for GEO.
- Position carries the heaviest weight (40%) because being the answer's lead recommendation is worth far more than surfacing as one option among ten; frequency and citations weigh 25% each.
- The bands: 0-20 invisible, 21-50 emerging, 51-80 visible, 81-100 dominant. Above 50 means engines treat you as a credible option in your category.
- AI answers are probabilistic — the same prompt can return different brands on different runs — so AIGVR only means something when sampled across many prompts, runs, and engines.
Why rankings stopped describing reality
For two decades, search visibility had a clean answer: your rank. That number is losing its referent. Users increasingly get a finished answer instead of ten blue links, and a growing share of queries end without any click — the pattern covered in our guide to zero-click search. Inside a ChatGPT or Gemini answer there is no position two: a brand is either part of the answer or absent from it. That binary needed a new measurement, which is the gap AIGVR and the broader family of AI visibility metrics exist to fill.
How the score is calculated
AIGVR is computed from repeated sampling. A set of category prompts — "best mineral sunscreen", "quiet air purifier for a bedroom" — runs against each engine on a schedule, and every answer is parsed for three signals.
Position (40%). Where does the brand sit within the answer? An answer opening with "for most people, Brand X is the best choice" signals the model treats that brand as the default for the intent. A mention buried in a trailing "other options include" list scores far lower. Position gets the largest weight because it is the difference between being the recommendation and being the alternative.
