How Often Should You Re-Test AI Visibility? Setting a Monitoring Cadence
A layered monitoring cadence for AI visibility: monthly core testing, fortnightly commercial checks, quarterly deep sweeps, plus the event triggers that override all three.
Does Traditional SEO Still Matter for AI Search? An Honest Answer
SEO is not one thing. The technical and authority layers matter more than ever for AI search; the position-chasing and manipulation layers matter less or negatively.
AI Sentiment: What Engines Say About You, Not Just Whether They Cite You
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.
How to Report AI Visibility to Executives: Metrics That Survive Scrutiny
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.
Prompt Volume: How to Find What People Actually Ask AI About Your Category
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.
Topical Authority in the AI Era: How Engines Decide Who Is Credible
AI engines assess credibility per topic, not per domain. Here are the five signal groups they read and how to build authority narrow enough to actually win.
Why AI Cites Reddit, Wikipedia and Forums More Often Than Your Site
AI engines favour forums and Wikipedia for structural reasons, not conspiracy. Here is the mechanism behind it and which question types your site can realistically win.
AI Visibility Audit: A Step-by-Step Checklist You Can Run Yourself
A five-section AI visibility audit checklist covering access, extraction, attribution, current citation rates and the competitive landscape you can run internally.
The Content Structures Large Language Models Extract Most Reliably
Which content structures large language models extract most reliably, which ones consistently fail, and the self-containment test that catches most problems.
How to Track AI Visibility Over Time Without Enterprise Software
A manual protocol for tracking AI visibility monthly: four core metrics, a frozen testing protocol, a workable spreadsheet and light automation options.
