AI Visibility Insights and Strategies

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Wave 1 Ran on September 10. It Measures Something Different, and I Am Telling You Before the Numbers Do.

Wave 1 Ran on September 10. It Measures Something Different, and I Am Telling You Before the Numbers Do.

Wave 1 Ran on September 10. It Measures Something Different, and I Am Telling You Before the Numbers Do.Fae Esparza
Published on: 16/09/2026

Wave 1 re-measured 36 businesses on four AI platforms in one day. What changed in the instrument, why 47 percent does not reproduce, and what comes next.

Platform Divergence StudyAI visibilityAI search visibility studyAEOGEO
We Checked 36 Businesses on Five AI Platforms. The Platforms Barely Agree.

We Checked 36 Businesses on Five AI Platforms. The Platforms Barely Agree.

We Checked 36 Businesses on Five AI Platforms. The Platforms Barely Agree.Fae Esparza
Published on: 02/09/2026

Five AI platforms, 36 real businesses, one recorded fact per platform: named or not. Seventeen were invisible everywhere, and the platforms barely agree on who exists. Wave 0 of an ongoing study.

ai visibilityai searchplatform divergence study
What Business Owners Get Wrong About Their Own AI Visibility

What Business Owners Get Wrong About Their Own AI Visibility

What Business Owners Get Wrong About Their Own AI VisibilityFae Esparza
Published on: 31/08/2026

Owners usually guess their AI visibility sits somewhere in the middle. Measured across five AI platforms, the most common result is zero. What snapshot data from a few dozen businesses shows, and what to do with it.

ai visibilityai searchmeasurement
Everyone Is Saying the Same Three Sentences About AI Watermarking. Here Is What the Documentation Actually Says.

Everyone Is Saying the Same Three Sentences About AI Watermarking. Here Is What the Documentation Actually Says.

Everyone Is Saying the Same Three Sentences About AI Watermarking. Here Is What the Documentation Actually Says.Fae Esparza
Published on: 18/08/2026

AI watermarking is live in Gemini and Claude and required by new laws, yet widely misdescribed. What vendor documentation and NIST actually say, and what it means for experts who publish.

ai watermarkingai visibilityanswer engine optimization