AI visibility case study: how RaceX moved from 63 to 94
A transparent remediation example from one of our own ventures, including what changed and what the score still did not prove.
Read: AI visibility case study: how RaceX moved from 63 to 94 →
Archive
Category: AI Visibility Audits
AI Visibility Audits focuses on identifying why a business is not currently visible to AI-powered search and recommendation tools. This category explains how AI views a business today, what prevents AI from understanding or trusting it, and what needs to change to improve visibility. Content covers common visibility gaps, audit findings, and the practical steps required to fix AI search visibility issues and become eligible for AI recommendations.
Many sources go in. One answer comes out — and it is not the same answer twice.
AI visibility checker: what a good one should actually test
A score is only useful if you can see the evidence, the method and what the tool did not measure.
Read: AI visibility checker: what a good one should actually test →
How to improve AI visibility: the practical order
Five steps, in order: access, identity, useful answers, corroboration and repeated measurement.
The ChatGPT answer you saw about your business was probably wrong
Not because ChatGPT is unreliable. Because you looked once.
Read: The ChatGPT answer you saw about your business was probably wrong →
Why your business is not visible to AI
A missing AI mention can come from crawlability, relevance, identity, external evidence or simple response variability. Check the causes in the right order.
Visible2 Launches as Independent AI Visibility Consultancy
Visible2 has officially launched as an independent AI visibility consultancy, focused on helping businesses understand how modern AI systems interpret, trust, and recommend brands during AI-driven…
Read: Visible2 Launches as Independent AI Visibility Consultancy →