The Geometry of Relevance AI models do not browse the web like a bored teenager in 1997. They are brutal pragmatists.

According to Kevin Indig's research, content that places its key points in the first 30% of the page is significantly more likely to be cited (Growth Memo, 2026).

If you bury your conclusion at the end of a 2,000-word "ultimate guide," the AI has already moved on to a site that was more polite about its time.There is a certain safety in numbers, or at least in length.

Very short pages—those under 1,000 words—tend to underperform in the citability sweepstakes (Reddit/r/AISearchAnalytics, 2026). The machines seem to equate "depth" with "density." They are looking for "cluster-based" pages that cover a topic from every angle, rather than single-intent pages that do one thing and then stop.

The New Aristocracy of DataWe are seeing the rise of a small group of domains that own the majority of visibility. It is a bit like high school, but the cool kids are just websites with high domain authority and perfect schema markup.

Indig's analysis of 1.2 million search results suggests that AI favors entity-rich, definitive writing. Some other numbers to keep you awake:GPTBot has been observed hitting zero-authority sites 470 times harder than Googlebot, yet that rarely translates into actual citation.

In a separate study of 100,000 conversations, it was found that AI can reduce task completion time by 80%, but it is only as good as the sources it "remembers" in its context window.

We are living in a world where "being the answer" is the only thing that matters. Traditional keyword rankings are starting to feel like 8-track tapes or landline telephones. If the context isn't in that first 30% of the page, LLM's will take a miss.