Where we fit in the AI-visibility landscape.
A growing field of tools measures whether AI engines mention your brand. We do something adjacent: we interpret what the measurements mean and tell you what to change. These notes lay out the landscape honestly — including who else is in it.
If you are evaluating how to improve your standing in AI answers, the first thing you meet is a wall of monitoring dashboards. They are useful, and they are not the only instrument. The distinction worth holding onto is simple: monitoring is instrumentation; an independent diagnostic is interpretation and remediation. Most organizations end up needing both. The field guide below describes the tool category as it actually is — naming the platforms, fairly — and shows where a diagnostic sits within it.
Field guides
-
AI-visibility tools● Live
AI-visibility tools: an independent field guide
What monitoring platforms like Profound, Peec AI, and AthenaHQ do well, where organizations still struggle even with a good tool installed, where an independent diagnostic fits — and why many teams run both. Described by role, sourced, and dated.
-
Monitoring vs. diagnosisIn preparation
The standing dashboard and the periodic examination
A closer look at the two postures — continuous measurement versus point-in-time interpretation — and how to sequence them across a year so each does the job it is good at.
Where to start
If you have not committed to a monitoring subscription yet, a diagnostic is the cheaper way to learn whether you have a problem worth monitoring, and what to fix first. If you already run a tool, a diagnostic reads the same reality your dashboard reports and turns it into a decision. Either way, write to [email protected] — we scope it directly. All engagements are confidential under MNDA.