The Three-Piece Page Tech Stack: Structured Data, llms.txt, and Content Chunking
GEO is not purely a writing problem. Schema stops machines from guessing, llms.txt gives crawlers a map, and content chunking determines whether the passage you want can be lifted. All three can be implemented within a week.
Bottom line: writing solves "saying it clearly"; technology solves "being readable." Without either one, GEO does not hold up.
1. Structured Data: Stop Making Machines Guess
Four common types are enough:
| Type | Where to use | What question it answers |
|---|---|---|
| Organization | Site-wide | Who you are, where you are, how to reach you |
| Product + Offer | Product pages, pricing pages | What you sell, at what price, whether it is in stock |
| FAQPage | Homepage, solution pages, product pages | Common questions and standard answers |
| BreadcrumbList | Site-wide | Where this page sits within the site |
Two rules:
· Better none than bad — if you have no credible price, do not output an Offer; half-finished structured data is worse than none;
· Consistent with the page — the price and stock in structured data must match what the page displays; inconsistency will be judged as misleading.
2. llms.txt: A Directory for AI Crawlers
It is a plain-text index that tells the model: what products the site has, what articles it has, and which endpoints can enumerate data. Four sections are enough: a one-sentence site introduction, a list of core content, machine-readable endpoints, and a note on definitions.
The most common mistake is writing empty blocks — the heading is there but the content is not. What the model reads is an empty statement, which is worse than not writing it at all.
3. Content Chunking: Which Passage Gets Lifted
Three practical standards for chunking:
① Each h2 covers only one topic, kept to three to five paragraphs;
② Put the key conclusion in the first sentence of the paragraph, not at the end;
③ Make tables and lists self-explanatory where possible — state units and definitions clearly in the headers.
The test is the one mentioned earlier: randomly cut out two paragraphs and send them to someone, then see whether they can restate your point.
4. How This Site Does It
Every pricing page on the official site outputs Product and Offer; prices are taken only from the effective price in the authorized system, and whatever the front end passes does not count; the FAQ block on the homepage directly generates FAQPage; /llms.txt is generated in real time from backend content, with real data in all three sections: products, articles, and endpoints.
These are not "standard actions" but organizing existing facts into a form machines can read — none of it requires inventing extra content.
