How to Format Content for LLM Extraction

Every answer-shaped page should begin with a self-contained 40–80 word paragraph immediately under the H1. This paragraph should answer the page's core question without needing context from anywhere else on the page. A reader (or model) extracting just this paragraph should walk away with the correct, complete answer at first-pass accuracy.

This is the single highest-leverage formatting change you can make. We have measured 30–60 percent lift in AI Overview citation rate from this change alone on existing high-ranking pages.

H2s should read like questions or atomic claims, not generic labels. 'Why X happens' beats 'Background.' 'How to fix X in WordPress' beats 'Implementation.' This matters because LLMs use H2 text as a navigation map of the page when deciding which section to extract for a given sub-query.

• Bad: 'Overview', 'Background', 'Why this matters', 'Implementation', 'Conclusion'.
• Good: 'What X actually is', 'Why X happens in 2026', 'How to fix X in 5 steps', 'When to use X vs Y'.

If the underlying answer is genuinely a list (steps, criteria, examples, comparisons), present it as a list. If it is genuinely a flowing argument, present it as prose. Mismatching content shape to formatting hurts extraction in both directions: a list buried inside a paragraph is hard to extract cleanly, and prose forced into bullets loses the connective tissue that makes the argument cohere.

A useful test: if you can rephrase a paragraph as 'first… then… finally…' or 'either… or… or…', it should probably be a list. If the points connect with 'because…', 'however…', or 'this means…', it should probably be prose.

A TL;DR block at the top of a long page gives extraction systems a second clean target for the page's core answer, written in slightly different words from the H1+direct-answer block. This redundancy is helpful for queries that match the TL;DR phrasing better than the H1 phrasing.

Keep the TL;DR to 2–4 sentences and put it in a visually distinct container so users see it as the summary, not the body.

An FAQ block with 4–8 question/answer pairs at the bottom of every answer-shaped page does double duty: visible to users as a quick reference, and extracted by LLMs (and Google) as additional Q-shaped extraction targets that map to long-tail and follow-up queries.

The questions should mirror real PAA, real Search Console queries, or real customer questions you've heard — not made-up questions designed to keyword-stuff. Made-up FAQs are easy to spot and often hurt more than they help.

Long preambles ('Before we dive in, let's set the stage…'). Hedging answers when a clean answer exists ('It really depends on a lot of factors…' followed by no actual answer). Walls of text without H2 breaks. List-shaped answers presented as prose. Identical paragraphs duplicated multiple times across the page. Made-up FAQs that don't match real queries. Auto-generated content that paraphrases the same point in slightly different words for length.