The rate at which an AI system chooses a given source from the available grounding candidates when composing an answer; the AI-search equivalent of click-through rate.
In the world of traditional search engines, we measure success by click-through rate, which tells us how often a human clicks on a link. But as search shifts to artificial intelligence, the way we measure visibility is changing. Today, we have a new metric to watch: selection rate.
Selection rate is the frequency at which an AI system chooses a specific source from all the available candidates to construct and ground its answer. Instead of a human clicking a link, the AI model itself selects your content to back up its response.
If you want your information to be featured in AI-generated answers, your goal is to increase this metric. This process is called selection rate optimization, and it is the key to maintaining visibility in the age of AI search.
Selection Rate is the rate at which an AI system chooses a given source from the grounding candidates available to it when it composes an answer. It is the AI-search equivalent of click-through rate: where CTR captured a person picking a link from a list, Selection Rate captures a model picking a source to ground its reply on.
Raising it is the aim of Selection Rate Optimization. Related: AI Visibility.
