[ AI Visibility Monitor ]

Track how your AI visibility changes each quarter.

AI Visibility Monitor compares new observations with the initial analysis of your brand or catalog every 90 days. We keep a stable set of questions and document the comparison conditions. You receive observed changes, relevant sources and priorities to review together. The service requires a documented initial analysis.

[ Cadence ]
Every 90 days, with a documented protocol and conditions.
[ Prerequisite ]
A baseline produced by AI Visibility Intelligence or AI Product Visibility.
Discuss monitoring
what you get
A documented comparison against the baseline and previous cycle
Observed changes by question, brand presence and retrieved source
Updated priorities, including areas where evidence is insufficient
A quarterly review meeting to decide the next cycle
the quarterly cycle
  1. 01

    Observation

    We repeat the stable core question set while keeping language, market and observation count comparable where possible. New questions remain a separate exploratory sample.

  2. 02

    Comparison

    We separate brand presence, citations of owned sources and observed position. Engine or protocol changes are declared rather than compressed into a single forced delta.

  3. 03

    Decisions

    We review sources, priorities and possible interventions. A change guides the investigation, but does not on its own prove either causality or repeatability.

how we interpret change

Changes are read as observations that need context, not as automatic proof that an intervention produced an effect.

[ decreases ]

Check the context first.

A decrease may reflect variability, engine updates, new sources or technical problems. Its cause remains a hypothesis until evidence supports it.

[ increases ]

Separate presence from source.

More brand presence, an owned source being cited and a different observed position are distinct signals. None alone proves causality or future control.

[ new brands ]

Treat them as entries to investigate.

A competitor appearing indicates change in the observed space. It does not prove that they are investing or explain why the engine selected them.

conditions and limits
  • This is not continuous surveillance: observations happen within the quarterly cycle.
  • The historical core question set stays stable; new explorations do not retroactively change the denominator.
  • When an engine changes substantially, the comparison limit is declared and the delta may no longer be comparable.
  • A page appearing among retrieved sources helps interpret change, but does not prove its cause or repeatability.
  • When the sample cannot support a conclusion, the deliverable states that evidence is insufficient.

The method for building readable comparisons over time is documented in the dedicated analysis. Read how I measure AI visibility

Do you already have a baseline to compare?

If a documented initial analysis exists, we can assess the Monitor's scope. If it does not, the right path starts with a baseline for your brand or catalog.

Discuss monitoring

[ start with a baseline ]

AI Visibility IntelligenceAI Product Visibility