The degree to which a brand is mentioned and cited in AI answers.
It is the first metric in the chain. Content, schema and distribution work is only worth funding if you can tell whether it moved this number, on the same questions, measured the same way.
Mention rate over a fixed question set, reported per engine, with unmeasured cells excluded rather than counted as zero, and questions containing the brand name excluded from scoring.
They overlap on technical access and content quality, but GEO measures the answer itself — whether the brand is named, recommended and cited — instead of a ranking position.
Keep the question set stable and rerun on a fixed cadence, then compare like with like. Changing questions and cadence at the same time makes results incomparable.
No. A page can be cited as background while a competitor is the one actually recommended. The two are reported separately.
Drafts can be generated, but every published piece goes through human review. Nothing reaches the site automatically.
It overlaps but is not the same. Both reward clear, credible content; only one of them is measured by whether a model names you in an answer.
From how the measurement actually works in the product, so the vocabulary on the site and the numbers in the workspace mean the same thing.
Create a project, confirm your market and start measuring the questions that matter.