The method, in the open
An AI visibility evaluation you cannot argue with is an assertion, not a measurement. These pages are how it works, so you can check it, apply it yourself, and tell us where we are wrong.
The four measures
They fail independently, they have different fixes, and the order you address them in decides whether any of the work shows up.
Retrieval: can AI systems reach you at all? The cheapest failure to fix and the most frequently missed.
Comprehension: being described wrongly is a worse outcome than being unknown.
Corroboration: the largest block, and the one you cannot write yourself.
Selection: being named when it counts, and who is named instead.
Why all four have to be read together, and the most expensive misdiagnosis in the category.
What makes a measurement trustworthy
The two-run test: run any tool twice an hour apart. If the number moves, it was never measuring your business.
Not measured is not zero: absent, unreachable and measured-zero are three different findings.
How to compare AI visibility tools honestly: six questions, and they apply to us too.
Using it well
How often to re-evaluate, and why more frequently is not better.
What an AI visibility evaluation cannot tell you: the limits, stated plainly.