Structured data gives machines an unambiguous statement of what a page is: its headline, author, publish date, and type. Answer engines do not require it, and none of them documents schema as a citation factor. It still earns its place, because it feeds the entity consistency that engines visibly reward, and because Google's systems, which seed most retrieval pools, consume it directly.
Types worth adding
- Article on every post, with headline, datePublished, dateModified, and author. Dated facts are a retrieval signal, and this is the machine-readable version of the date.
- Organization (or Person for a personal site) on the whole site, so your name, logo, and URL resolve to one entity everywhere.
- FAQPage on pages that genuinely are question-and-answer lists. The markup mirrors exactly the passage shape engines like to quote.
- BreadcrumbList if your site has real hierarchy; it clarifies which section a cited page belongs to.
What engines ignore
Schema sprayed on content that does not match it. FAQPage wrapped around marketing copy, HowTo on pages that are not instructions, and aggregate ratings with no visible reviews were all devalued by Google years ago, and answer engines inherit that skepticism. The markup must describe what a human sees on the page; contradictions between schema and visible content read as noise, the opposite of the trust you are trying to build.
Implementation notes
Use JSON-LD in a script tag rather than microdata; it is what Google recommends and the easiest to keep truthful from a template. Validate with the Rich Results Test after publishing. Keep one source of truth: if your CMS renders the date on the page, the same field should populate the schema, so they can never drift apart.
Schema is one part of the consistency work described in step four of our ChatGPT guide. For the file-level mechanics, see llms.txt: what it is and whether you need one.