Skip to content
AI Search

AI Search

A one-off measurement tells you where you were.

Continuous measurement of what models say about you, in which context and on what basis.

Model answers change: with model versions, with the sources they index, with what your competitors publish. A number from one afternoon is a snapshot, and a snapshot cannot tell you whether your work is helping.

Continuous monitoring runs the same prompts on the same schedule and reports movement - including movement you did not cause, which is often the most useful signal on the report.

How it works

01

Freeze the method before the first run

Same prompts, same engines, same markets, same schedule. A measurement whose method drifts always drifts in the agency's favour, and nobody notices for two quarters.

02

Merge name variants before counting

Automatically detected competitors enter the set once per spelling - the same company twice under two names. Every such pair inflates the denominator and deflates your share. On one project, merging them moved the share from 2.12% to 3.73% without a single change on the client's site.

03

Track movement you did not cause

Model versions change, sources gain and lose influence, competitors publish. Separating your effect from the background is the whole reason to measure continuously rather than twice a year.

04

Alert on the two things that cannot wait

A drop in visibility and a new competitor appearing in answers. Both are cheap to react to in the week they happen and expensive a quarter later.

What you get

  • Scheduled measurement across engines and markets, method written down
  • Competitor set with name variants merged, reviewed each cycle
  • Trend report separating your effect from background movement
  • Alerts on visibility drops and on new competitors in answers
  • Source influence tracking for your category