Design Your Landing Pages for Humans and AI

Most pages were built for one reader. They now have two. AI cites sections. Humans convert on headlines. AI doesn't care about above-the-fold, it pulls the best fragment from anywhere. Humans scan, and headlines and CTAs still do most of the work.

If you optimize for one and ignore the other, you're underbuilding.

The Structural Shift

LLMs retrieve fragments. That means each section of your page should stand alone, not just visually, but semantically. If an AI extracts one block and shows it without the rest of the page, it should still make sense: clear subhead, clear answer, self-contained logic.

But Humans Still Scan

Humans don't read top-to-bottom. They skim the headline, scan the first paragraph, jump to proof, and look for pricing or a CTA. Above-the-fold still matters. Clarity still matters. Specificity still converts.

Design for extraction and scanning. Not one or the other.

Intent Still Wins

AI retrieval doesn't replace intent. If you know where someone came from (keyword, referrer, campaign, repeat visit, company-level signal), match it. Contextual relevance reliably increases conversion rates.

The difference now is that relevance has two surfaces: the human visitor, and the model that might cite you. Ignore either and you're incomplete.

For the broader system behind intent-to-page matching, see: A System for Turning Paid Intent Into Conversion