How to write content that AI cites

A page can be well written, well designed, well ranked and still never get quoted. What decides it is whether the answer is near the top, written as text, and about one question rather than all of them.

app.reporte.ai/ai
ChatGPT 3.446
Copilot 173
Perplexity 110
Gemini 78
Claude 19

AI sessions measured across the sites we track, last 30 days.

Quick answer

Content that AI cites answers one question, near the top, in text a model can lift without editing. We measured it with 29 of the 57 questions we track, all of them about one cenote park in Punta Cana, across 5 AI surfaces, which is 145 of the 285 measurements. The answers were built from 784 citations across 271 domains, and the measured site supplied 73 of them. Being one of the 271 is the whole job, and it is decided page by page.

The two failures that keep a good page out

The first is the buried answer. A page opens with three paragraphs of atmosphere and puts the price, the opening hours and the location halfway down. A human scrolls. A model that is assembling an answer takes what is near the top and moves on.

The second is the fact that only exists in a picture or a widget. Rates inside the booking engine, opening hours in a designed image, the distance to the airport in a map graphic. None of it is text, so none of it can be quoted, and the assistant fills the gap with a third party page that wrote the same fact in plain words.

Both failures pass every visual review, because the page looks finished. They only show up when you measure whether anything on it got quoted.

Not every surface reads the same way

The measured split is the argument against writing for one assistant. Out of those 145 readings, the site was named inside the answer text by Google AI Mode 14 times and by ChatGPT 9 times. Claude, Gemini and Perplexity named it zero times. Yet Perplexity linked to it 20 times, Claude 16 and Gemini 15, all three more often than ChatGPT, which linked it 9 times.

Read that carefully and the instruction is not to pick a surface. It is to write a page that works in both modes at once: quotable in a sentence for the surfaces that write names, and complete enough to be worth listing as a source for the surfaces that mostly link.

The practical version is a page that opens with a two sentence answer containing the name and the number, then earns the citation with the detail underneath. And read the split rather than the score: those 7 domains are our own travel websites, not hotel clients, and one pass is one reading, which proves nothing on its own.

One question, one page

The page that answers everything answers nothing quotably. A model asked how far a property is from the airport will pick the page whose subject is that distance over the page where the distance is sentence forty of a general overview.

So the unit of work is a question a guest actually types, and the sequence is boring on purpose: collect the questions, check which ones the assistants currently answer with somebody else's page, write the missing ones, then rerun the pass and see whether your URL entered the source list. The content plan in reporte.ai builds that queue from the prompts where you are absent rather than from a keyword tool, and the free AI Readiness Check scores whether the pages you already have are readable at all.

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