Measurement is useful only when it helps your team decide what to improve first.
Many teams already know they have AI visibility gaps. The harder question is what to fix first — and which work will actually move the needle across the engines and prompt clusters that matter to the business.
A list of missing mentions or weak citations does not tell anyone where to start. focadio translates measurement into a prioritized action map so each visibility gap points to a specific kind of work — content, citation, authority, accuracy, or monitoring.
Create or improve content for a query cluster where the brand is missing or underrepresented in AI answers.
Improve the sources that AI engines may use to support an answer — including owned pages and trusted third-party references.
Strengthen external references, third-party mentions, and trusted pages connected to the brand to support stronger AI visibility.
Correct unclear, outdated, or misleading information that may be causing AI engines to describe the brand incorrectly.
Keep tracking a query that is relevant but not urgent — and revisit when movement or competitor activity changes.
Set up a project with your brand, competitors, market, and priority queries. The platform measures visibility, citations, and competitor presence across the selected AI engines.
Each query receives a GEO Visibility Score and a Query Opportunity Score — a configurable, decision-support layer that helps your team rank what to work on.
Queries are grouped into segments like Quick Win, Competitive Gap, Authority Play, Monitor, and Ignore so the action picture is easier to read.
Each segment points to a specific action type — content, citation, authority, accuracy, or monitoring — so the team knows what kind of work the gap requires.
Repeat runs surface volatility and confirm whether the action improved AI visibility, so the action map stays connected to real measurement.
Run an audit to surface the actions your team should take first — and the ones worth putting on a monitoring list instead.