GEO glossaryTime-to-citation
Strategy & concepts
What is Time-to-citation?
Quick answer
Time-to-citation is the lag between when you create or fix a source and when AI reflects that change in its answers, typically four to eight weeks. Because AI doesn't update instantly, GEO has to be measured as a trend across several periods.
You publish a better page, correct a wrong fact, earn a new mention, and nothing changes in the AI's answer that afternoon. That's expected. Between your change and the engine reflecting it sits a delay, in our experience usually four to eight weeks, and understanding it keeps expectations honest.
Three things create the lag. The web has to be re-crawled and re-indexed before an engine can find your update. Grounded answers depend on those refreshed indexes catching up. And the deeper, model-level memory changes only on training cycles, far slower than the live index. Add caching on top and the change arrives in stages, not all at once.
The practical implication is how you read results. A single measurement taken a week after a change tells you almost nothing; the signal shows up as a trend over successive months. This is why GEO is measured on a cadence, not once, and why our service commitments are framed around that window rather than promising an overnight jump. Judge the direction across periods, not the reading on any single day.
Frequently asked
Why does it take so long?
Your change has to be re-crawled, re-indexed, and picked up by grounded answers; deeper model memory updates only on slower training cycles.
Is there any way to speed it up?
Clean, crawlable, quotable content and fresh mentions help the fast path, but the underlying index and model cycles set the floor.
How often should I re-measure?
On a cadence (monthly is typical) so you read the trend rather than the noise of a single day.
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