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 →
Visible2 is an AI visibility consultancy that helps businesses understand how AI systems interpret, trust, and recommend websites in AI-driven search and discovery.
Notes on how AI systems interpret, trust and recommend businesses.
Many sources go in. One answer comes out — and it is not the same answer twice.
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 →
A cited page, a named brand and a recommended provider are three different outcomes. Measure them separately.
Read: AI search citations: mentions, sources and recommendations are not the same thing →
The correlation is strong, the caveat matters, and “mentions are the new backlinks” is still too simplistic.
Read: Brand mentions and AI visibility: what the 75,000-brand data actually says →
GEO and AEO describe methods. AI visibility is the outcome you can actually measure.
Read: AI visibility vs GEO vs AEO: what the terms actually mean →
Crawler access is an eligibility gate. Different assistants use different agents, and blocking one can have a different effect from blocking another.
Read: AI crawler access: robots.txt, OAI-SearchBot and JavaScript →
Structured data can make relationships explicit. It cannot manufacture authority or guarantee citations.
Think in four stages: eligibility, retrieval, confidence and selection — then measure the output.
Read: How AI assistants choose which businesses to recommend →
Knowing your name and recommending you to a buyer are two different tests.
Read: Does ChatGPT know my business? How to test it properly →
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 →
Five steps, in order: access, identity, useful answers, corroboration and repeated measurement.
Whether AI assistants understand your business well enough to recommend it. It is not a ranking, and it works differently to search.
Which signals are supported by evidence, which are repeated without any, and what actually moves the needle.
Visible2 is not affiliated with similarly named brands in telecom, health, or clinical research. Visible2 is an independent consultancy.