AI visibility, measured
and interpreted.
Sighted measures and interprets your AI visibility: citation rate, share of voice and sentiment on your category's buying questions, tracked bi-weekly across ChatGPT, Claude and Google AI Overviews, next to your GA4 and Search Console data.
Measure. Interpret. Act.
We provide reporting, analysis and strategic guidance.
What we measure
A fixed set of your category's buying questions, run bi-weekly across ChatGPT, Claude and Google AI Overviews. The questions come from the mining and your knowledge graph: things real buyers have actually asked. Citations, mentions, sentiment and share of voice against named competitors, lined up with GA4 and Search Console so AI visibility sits next to your search data.
- Your buying questions, not generic prompts
- Bi-weekly trend, not one-off screenshots
- Share of voice vs named competitors
What the numbers mean
AI answers wobble: you can appear one week and vanish the next. Every two weeks a senior person, Adina or John, goes through the data, separates noise from real change, and traces every move to its likely cause. You get a short, plain-language summary you can forward to your CEO.
- What moved, and the likely why
- Noise filtered from real change
- A readout you can report to your CEO
What happens because of it
The data decides what gets shipped, refreshed or retired next, and we own the result: refreshes queue into the content engine, fixes go back into the technical layer, and the next report shows what it did.
- Ship, refresh, retire: decided bi-weekly
- Feeds the content engine directly
- The loop that keeps the gap closing
What the service runs.
Prompt set design
We define the buying questions that matter in your category with you, and version them as your positioning evolves.
Bi-weekly measurement
We record citations, mentions, sentiment and share of voice across ChatGPT, Claude and Google AI Overviews, against your baseline.
Senior analysis, bi-weekly
Adina or John goes through the data every two weeks and writes the summary: what moved, why, and what we are doing about it. Not templated by a tool.
Ship, refresh, retire decisions
We let the data decide the next cycle's work, and we feed it into the content engine and the technical layer.
Monthly deep dive
We sit down with your team every month: what the data says, what we are doubling down on, what we are dropping, and how it lines up with GA4 and Search Console.
Reporting upward
We write the readout your team can forward: the trend, the wins, the plan. Measurement your CEO can follow.
What buyers ask us first.
How is this different from an AI visibility tracker tool?
The tools are good at collecting numbers, and we happily use them. But a dashboard doesn't tell you why share of voice dropped, whether it's noise, or what to do next. We explain what changed, whether it matters, and then fix it: the technical layer, the content, or both.
Which prompts do you track?
A fixed set of the buying questions that matter in your category, defined with you at the start and versioned as your positioning evolves. Consistency is what makes the trend trustworthy.
How often do we hear from you?
Every two weeks: the numbers and the written summary. Monthly: a deep dive with your team on what the data says about strategy.
Do we need the other services first?
No. Measurement is where every engagement starts and ends: we baseline the audit with it, score the content engine by it, and teams often buy it first to make the case internally.
Know if it's working.
Every two weeks.
We run this loop every two weeks, so the gap keeps closing.
Talk to us →