Structured data for AEO: what schema markup does — and doesn't do
How structured data supports AEO, which schema types are worth implementing, Google's rules, and why markup alone won't get you into AI answers.
What structured data is
Structured data is a standard way of labelling the information on a page so machines can read it unambiguously: this is an organisation, this is its logo, this is a product with this price, this article was written by this person on this date. The most common format is JSON-LD using the Schema.org vocabulary.
Humans see a page; structured data tells crawlers what the things on that page are.
What it can do
- Clarify entities. Organization markup with your legal name, logo, contact details and
sameAslinks to official profiles helps connect your site to your brand entity. - Describe content precisely. Article markup states headline, author, publish and update dates; Product markup states price and availability.
- Enable some rich results. Google supports specific rich result types — such as Product, Breadcrumb, Article and others — when markup meets its guidelines.
- Reduce ambiguity in retrieval. Clear, consistent machine-readable facts support the overall picture search systems build about your content.
What it can’t do
- It can’t make up for weak content. Markup describes a page; it doesn’t make the page a better answer.
- It isn’t a ticket into AI answers. Google’s guidance on AI features says there are no special optimizations or schema needed to appear in AI Overviews or AI Mode (Google Search Central).
- It doesn’t guarantee rich results. Google decides when to show them. Since 2023, for example, FAQ rich results have been limited to a small set of well-known government and health sites.
The rule that matters most
Structured data must describe content that is visible on the page and be accurate. Marking up reviews that don’t exist, ratings you invented or FAQs that aren’t shown violates Google’s guidelines and can lead to manual actions. It also undermines trust in everything else you publish.
Schema types worth considering
| Type | Use it for | AEO value |
|---|---|---|
| Organization | Your company — name, logo, contact, sameAs | Entity clarity |
| WebSite / WebPage | Site and page identity | Context |
| BreadcrumbList | Site hierarchy | Structure, rich result |
| Article / BlogPosting | Editorial content | Author and date clarity |
| Person | Real authors and experts | Expertise attribution |
| Service | Service pages | Describes what you offer |
| Product / Offer | Products with prices | Product facts, rich results |
| DefinedTerm | Glossary entries | Clear definitions |
How to implement it well
- Start with Organization on every page (or the homepage) with consistent facts.
- Add type-specific markup that matches the page’s purpose.
- Generate it from the same data as the visible page — in a CMS or static site, from the same fields — so the two never drift apart.
- Validate with the Schema.org validator and Google’s Rich Results Test.
- Monitor Search Console’s enhancement reports for errors.
Common mistakes
- Adding FAQPage markup everywhere in the hope of AI visibility.
- Ratings and reviews in markup that don’t appear on the page.
- Different company names or addresses in markup versus the footer.
- Plugins that output conflicting duplicate schema.
Structured data is a supporting act. The main performance is still clear, specific, answer-first content — see our AEO guide.