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Make your content answer-first so AI models actually cite it

A developer outlines a six-step method for structuring web content so that AI models like ChatGPT and Google's AI Overviews cite it directly. The approach involves defining a clear question, extracting the answer passage, rewriting it to lead with the conclusion, testing extractability with an LLM, adding FAQPage schema, and repeating for each key question.

read2 min views1 publishedJul 8, 2026

If you want ChatGPT or Google's AI Overviews to quote your pages, structure matters more than volume. Retrieval systems favor passages where the answer is stated plainly and can stand alone. Here's a practical way to test and fix your content. Step 1 — Define the question the page answers

Write it as a literal user query.

Step 2 — Extract your current answer passage

Copy the first two or three sentences from your page. Paste them somewhere without any extra context. Ask yourself: Does this work as a direct answer? If it only makes sense after reading earlier paragraphs, it doesn’t pass the extraction test.

Step 3 — Rewrite answer-first

Lead with the conclusion, stated as a fact, then support it.

"We get asked about pricing a lot, and honestly it's

one of the trickiest questions to answer..."

After:

"A small-business website in the UK typically costs

£1,500–£6,000 for a brochure site and £6,000–£20,000+

for e-commerce. The price depends on three things: page count, payment functionality, and custom vs

template design." Step 4 — Test extractability with a model

Send the passage to an LLM and check whether it returns a clean, single answer. Use a system prompt that mimics retrieval behavior.

below, extract the single most direct answer to the

user's question. If no self-contained answer exists,

reply "NO_EXTRACTABLE_ANSWER".

User question: How much does a website cost for a

small business in the UK?

Passage:

If you get NO_EXTRACTABLE_ANSWER or a vague summary, your structure needs work. Step 5 — Reinforce with structured data

Markup question and answer pages with FAQPage schema so the question/answer pairing is machine-readable as well as human-readable.

{

"[@context](https://dev.to/context)": "[https://schema.org](https://schema.org)",

"@type": "FAQPage",

"mainEntity": [{

"@type": "Question",

"name": "How much does a website cost for a small business in the UK?",

"acceptedAnswer": {

"@type": "Answer",

"text": "A small-business website in the UK typically costs £1,500–£6,000 for a brochure site and £6,000–£20,000+ for e-commerce, depending on page count, payment functionality, and custom vs template design."

}

}]

}

Step 6 — Repeat per key question

One page, one primary question, one extractable answer up front. Work through your priority pages the same way.

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