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[ Recurring add-on ]

AI Visibility Monitor: the baseline that keeps being compared.

Every ninety days I repeat the same measurement: same questions word for word, same engines, same conditions. I deliver the delta against the baseline split into gains, losses, and new competitors, plus a reading and replanning call. It requires an existing baseline to compare against.

[ Cadence ]
Every 90 days, quarterly retainer
[ Prerequisite ]
An existing baseline, produced by AI Visibility Intelligence or AI Product Visibility.
Set up monitoring

[why it exists]

A single measurement shows no direction.

It stays a photograph: it tells you where you were, not where you are heading. Knowing you appeared on nine questions out of forty in March and fifteen in June means something. Knowing only March's nine means much less, because you have no reference point and no idea whether you were rising or falling. There is also a less noble and equally true reason: engines change on their own. A position you won does not stay put because you stopped watching it.

01

Re-measurement

The same question set rerun on the same engines, with the baseline's conditions held fixed: same questions word for word, same number of runs, same market and same language.

02

Delta

The comparison against the baseline in three separate lists: gains, losses, and new competitors. No single index, because an index hides exactly the information decisions are made on.

03

Early flag

If the re-measurement turns up a loss on a priority question or a competitor entering, I write to you as soon as I find it, without waiting for the full report and the call. Between cycles there is no continuous watch: that would be a different service, and this is not it.

04

Replanning

A forty-five minute call to read the delta together and choose next quarter's priorities. The backlog comes out updated: what is closed, what remains, what appeared.

Full re-measurement of the same question set on the same engines
Delta against the baseline: gains, losses, and new competitors, in three separate lists
A flag as soon as I find it, without waiting for the report, on losses and entries in priority questions
Updated backlog: what was closed, what remains, what appeared
Quarterly reading and replanning call, forty-five minutes
Delivery as a dashboard or a report, your choice

Anyone with an existing baseline

We ran a measurement and now the question is whether it moved. With no documented starting point there is nothing to compare.

Markets where competitors publish

If content ships every month in your sector, the position you won gets contested by someone who never stopped working on it.

Anyone who executed the backlog

You fixed pages, structured data, and sources. Re-measuring is how you find out whether that work moved anything, and where.

Three categories, communicated separately because they answer different questions and lead to different decisions.

[losses]

Read these first.

And not out of pessimism. In practice a loss more often signals a technical problem than a competitor move: a page that stopped being reachable, structured data broken in an update, content moved without a redirect. Those are fixed in hours, if somebody sees them.

[gains]

Worth having if you know why.

Read them alongside the retrieved sources. Appearing because one of your pages entered the source set is a repeatable result: you know what you did and can do it again. Appearing without any of your sources being retrieved is a result you do not control, and it is worth knowing that.

[new entrants]

The commercially densest figure.

They tell you who is investing in your space and on which questions. In most cases it is the figure that changes next quarter's priorities.

  • It is not a new audit. The question set stays the baseline's, otherwise the comparison loses meaning.
  • It is not a subscription tool. It is a measurement I run, with the same declared conditions every time.
  • It is not continuous monitoring. Readings happen per cycle: between cycles nobody is watching, and that is worth knowing before signing.
  • It is not a commitment to produce content. Production stays with your team or supplier; here the work is measuring and replanning.
  • It does not prove causality. It shows the observed position moved, not that it moved because of the interventions.

I have written at length on how a measurement stays comparable over time. Read the article

Do you already have a baseline to compare?

If we have run a measurement, monitoring starts from the existing set. If we have not, that is where it starts: the baseline is the prerequisite, not an extra module.

Set up monitoring