Defined term

AI Referral Traffic

AI referral traffic

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Definition

AI referral traffic is the visits that arrive from an assistant's interface, identifiable in analytics by referrer hosts such as chatgpt.com or perplexity.ai. It is a fraction of the exposure, because most answers are read without a click.

Why it matters

It is worth tracking as confirmation, and dangerous as a target. Optimising for it pushes teams towards content that forces a click rather than content that gets cited.

How to measure it

Segment by referrer host in analytics and read it next to answer-side mention and citation data, not instead of it.

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FAQ

Questions teams ask before they start

Is GEO different from SEO?

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.

How often should results be remeasured?

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.

Does being cited mean being recommended?

No. A page can be cited as background while a competitor is the one actually recommended. The two are reported separately.

Is this written by AI?

Drafts can be generated, but every published piece goes through human review. Nothing reaches the site automatically.

How does this relate to traditional SEO?

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.

Where do the definitions come from?

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.

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