Is AI Visibility Worth Tracking Yet?
Is AI visibility worth tracking yet? We reran the same buyer questions to see which numbers hold still, which are noise, and who should wait before tracking.
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Is AI visibility worth tracking yet? We reran the same buyer questions to see which numbers hold still, which are noise, and who should wait before tracking.

We tested "make it sound more human" against a real brief. The prompt added comfort sentences instead of substance, and a second humanizing pass broke the length limit.

Google still sends almost all the traffic, while buyers build their shortlists in AI answers. Our take on where B2B brands should put their effort in 2026, with the data on both sides.

AI visibility tracking tells you where you stand. Why a dashboard alone rarely changes the answer, what a pipeline adds, and when a dashboard is all you need.

We checked the most repeated GEO vs SEO advice on Reddit against 2026 studies. What still holds up, what went out of date after ChatGPT 5.6, and what to ignore.

Generic AI content is a context problem. Why longer prompts don't fix it, what context a model needs to write something specific, and how to build it this week.

What happens to SEO if buyers stop searching Google? The data says they haven't, but B2B buyers now start elsewhere. What fades, what survives, what to do now.

A buyer-side verdict on the GEO agency market: what is real, what is repackaged, what is snake oil, and the six questions that sort one from the other.

A verdict through the lens of standards history: why robots.txt and sitemaps won, why the keywords meta tag died, and which story llms.txt is retelling.

The honest verdict with the numbers in one place, what real users say about their own habits, and the five moves SaaS teams should make either way.

The product decision we keep having to defend: no blended AI visibility number, seven per-engine columns instead, and the evidence that made the call for us.

A founder-to-founder answer to the llms.txt question: what the logs and citation data say, the steelmanned believer case, and where your four hours should go.
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