AI Visibility & AEO

Citation counts miss the bigger risk: how AI engines characterise you. How to measure AI sentiment by attribute, trace bad claims to source, and correct the record.

A rigorous approach to AI visibility reporting: baseline first, like-for-like re-testing, honest sample size caveats and a one-page report structure executives trust.

Nobody publishes AI prompt volume. Here is a free, systematic method for harvesting the real questions in your category, plus honest caveats about what it proves.

A manual protocol for tracking AI visibility monthly: four core metrics, a frozen testing protocol, a workable spreadsheet and light automation options.

Brand mentions and URL citations have different causes and different fixes. How to compute each, read the gap between them, and decide which to prioritise.

How to compute share of voice in AI answers defensibly: fixed prompt sets, derived competitor sets, explicit formulas and controls for variance.

AI Overviews resolve queries above the ranked results. Here is how sources get selected, what to change on the page, and how to monitor citation.

Perplexity shows its sources, which makes it the clearest place to learn how AI citation works. Here is what determines whether your passage gets picked.

There is no ranking report for ChatGPT, but behaviour is observable. Here is a method for testing it properly and the patterns that reliably emerge.

SEO, AEO and GEO are not three departments. Here is what each term actually means, where they genuinely diverge, and which one deserves your budget.