A measure of how often your brand shows up in the answers AI assistants give, used the way share of voice and keyword rankings were used in the search era.
Also known as Share of model, AI visibility
Answer share is the share of AI generated answers that mention or cite your brand for the questions that matter to your category. When a buyer asks ChatGPT, Gemini, or Perplexity for the best option, a comparison, or a recommendation, your brand either appears in the answer or it does not. Answer share turns that into a number you can track over time, by question, by competitor, and by platform.
It is the measurement side of the shift toward AI answers, and it sits next to the work of Generative Engine Optimization and Answer Engine Optimization. Those disciplines try to earn the citation. Answer share tells you whether the effort is working. Where an agency once reported keyword positions and share of voice, it now reports how much of the AI answer space a brand owns against its rivals.
Answer share is becoming the scoreboard clients ask about, and that makes it central to how agencies prove results in the AI search era.
It replaces rankings as the headline metric. As AI answers absorb clicks that used to go to blue links, a top ranking matters less than being named in the answer. Answer share gives agencies a number that maps to how people actually discover brands now.
It exposes gaps competitors are quietly winning. Tracking answer share by question shows exactly where a rival is being recommended and you are not. That points the content and PR work at the prompts where you are losing.
It reframes the value of content and earned media. Mentions, reviews, and authoritative coverage feed the models that produce answers. Answer share connects that activity to a visible outcome, which helps agencies justify the spend behind it.
An agency runs search and content for a mid market software brand that is watching demo requests soften as buyers research inside AI tools. The team builds a list of fifty buying questions and tracks, each week, how often the brand is named in answers from the major assistants against three competitors. They find the brand is strong on how-to questions but nearly absent on best-tool and comparison prompts, where a rival keeps showing up. The agency points its content, review, and PR work at those comparison prompts, then shows the client answer share climbing on exactly the questions tied to demand, a story that lands better than a rankings chart ever did.
The automations and agents module of the workshop teaches you how to build AI workflows that compress the busywork without taking the craft out of the studio.