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Schema markup labels the facts an agent compares: offer, price, hours, area and answers. Use Organization, Service, Offer, OpeningHoursSpecification and FAQPage. Every marked-up value must match the visible page.
Does schema markup help AI agents?
Schema markup labels the facts on a page so software can read them without guessing: this number is a price, this text is an opening time, this list is the area served. That helps any system comparing options, including AI agents. It does not replace clear visible text, and it should never say something the page does not. Treat markup as a label on facts you already publish.
Which schema types matter most for agents?
Focus on the types that describe decision facts. All are defined on schema.org.
| Fact the agent compares | Schema type or property | Example value |
|---|---|---|
| Who you are | Organization or LocalBusiness | Name, URL, logo, sameAs profiles |
| What you offer | Service or Product | Service name and description |
| What it costs | Offer with price, priceCurrency | 149, USD |
| Where it applies | areaServed, address | Austin, TX |
| When you are open | OpeningHoursSpecification | Mo–Fr 09:00–18:00 |
| Common questions | FAQPage | Questions and answers visible on the page |
| Proof | Review, AggregateRating | Only for genuine, visible reviews |
Choose the most specific type that is true. A law firm can use LegalService, a clinic MedicalClinic, a software company SoftwareApplication with offers.
What is the most important rule?
Markup must match the visible page. Google's structured data guidelines require that marked-up content be visible to users and representative of the page. If your page says $199 and your markup says $149, any system that compares the two sees a contradiction. Agents that cross-check sources are more likely to distrust both.
Update markup in the same change as the visible content. Content management systems that generate markup from the same fields as the page make this automatic.
What does a minimal example look like?
For a service page, a compact JSON-LD block can include the business, the service, one offer and hours:
| Property | Value |
|---|---|
| @type | LegalService |
| name | Example Family Law, PLLC |
| areaServed | Travis County, Texas |
| makesOffer → Offer | Initial consultation, 150, USD |
| openingHoursSpecification | Monday–Friday, 09:00–17:00 |
The firm and values are fictional. Validate your real markup with the Schema Markup Validator and Google's Rich Results Test.
Which mistakes should you avoid?
Avoid marking up reviews you wrote yourself or that are not shown on the page. Avoid FAQ markup whose answers differ from the visible answers. Avoid stale offers that keep last year's price. Avoid one giant block copied to every page regardless of content. Each of these creates a fact an agent can catch out.
Arrow's broader schema markup guide for GEO covers article and organization markup in more detail.
Where does schema fit in the agent-ready plan?
After the facts exist. Write the offer, price, area and hours in the page first, then add markup. Check 9 of the agent-ready checklist tests exactly this, and pricing pages AI agents can read shows how to write the price itself.
Sources and editorial scope
Reviewed October 1, 2026. Platform-specific statements link to the documentation beside the claim. The workflows and examples are Arrow AI editorial guidance. Agent features change quickly and vary by plan and country; check the linked documentation before acting. Fictional scenarios illustrate a method; they are not customer results, measured demand or evidence of ranking gains.
Part of Agent-Ready Business. Explore Arrow GEO or request a free audit to see which facts an AI agent can already find about your business.