AI agents look for structure they can parse without guessing

A person scans a page visually: the hero grabs attention, the layout implies hierarchy, colour and spacing signal what matters. An AI agent has none of that available to it in the same way. It works from the document's actual code: the tags, the order they appear in, and whatever text and data live inside them.

That gap matters most when a page depends on JavaScript to render its content. Many AI crawlers fetch a page's scripts but never run them, so whatever text or structure only exists after the page hydrates simply is not there from the agent's point of view, no matter how it looks to a visitor.

Three things, mostly. First, entity facts: what the business is called, what category it belongs to, where it operates and who runs it, usually pulled from structured data (schema.org markup) rather than inferred from prose. Second, the heading hierarchy: an h1 followed by a logical run of h2s tells an agent what the page is about and how its claims are organised, the same way a table of contents helps a person skim.

Third, plain factual statements. A sentence that states a claim directly, this business does X, is based in Y, works with clients in Z, is far easier for an agent to extract and repeat accurately than the same claim buried in a metaphor or a marketing headline built to be read aloud rather than parsed.

Anything purely decorative: animation, background video, imagery with no accompanying text, and layout choices that exist to guide the eye rather than to state a fact. None of that is wasted on the human reader, but none of it registers with the agent either, so it should never be the only place a claim lives.

The same applies to content gated behind an interaction, a tab that only reveals its text on click, or copy that only appears after a hover or a scroll trigger. If a fact only exists inside an interaction, an agent that cannot perform that interaction never sees it.

Writing for an agent does not mean writing worse copy for a person. It means making sure the same true, specific claims that already belong on the page also exist as plain text an agent can find: in a heading, in a short factual sentence, in structured data, rather than only implied by a photo or a layout choice.

In practice that is a semantic HTML decision as much as a copywriting one: the right tag for the right content, a heading tree that actually describes the page's argument, and structured data that names what the prose already says, so the two readers of the page, human and machine, are told the same thing in the way each of them can actually use.