# GEO Schema: What It Is and What You Need

> There is no separate GEO schema. Learn which schema.org types still help Google Search, what AI features require, and why FAQ rich results are gone.

- Source: https://www.citlyze.com/blog/geo-schema
- Author: Mara Ellison
- Published: 2026-10-20
- Tags: GEO, Strategy

GEO schema is a marketing label for ordinary schema.org structured data. There is no separate GEO schema standard for AI search. Use markup that describes the page and matches what visitors can read. Google says AI Overviews and AI Mode require no special markup, and adding schema does not guarantee citations.

## SEO schema vs GEO schema: is there a difference?

Both labels refer to the same vocabulary. Schema.org defines types such as `Organization`, `Product` and `Article`, with properties that describe them. You can identify an article's author or specify the currency of a product's price.

Structured data gives machines named fields for those facts. JSON-LD is one format for publishing it. A developer can put those fields in a script on the page while visitors read the corresponding details in the page itself.

Google uses structured data to understand content and to support eligible search features. A product result can show price and availability. Organization details can inform a knowledge panel. Each feature has its own requirements.

Calling the same work "GEO schema" adds no new technical standard. Ask whoever proposes it to name the schema.org types and explain which page facts they describe. For the wider work around AI answers, the [guide to generative engine optimization](https://www.citlyze.com/blog/what-is-generative-engine-optimization) explains where structured data fits alongside content and source visibility.

## Does Google require schema markup for AI search?

Google's [AI features guidance](https://developers.google.com/search/docs/appearance/ai-features) states that there are no additional technical requirements for appearing in AI Overviews or AI Mode. Its wording on schema is direct:

> There's also no special schema.org structured data that you need to add.

Google also says you do not need new machine readable files or AI text files for those features. To qualify as a supporting link, a page must be indexed and eligible to appear in Google Search with a snippet.

That guidance covers Google's search features. It does not establish how ChatGPT or Perplexity chooses a source. There is no documented cross-engine requirement for a separate GEO schema format.

Use structured data to describe facts machines can read. Treat any claim that it increases AI citations as a separate claim requiring evidence. Google gives no schema-based citation guarantee.

The same distinction applies to proposed AI text files. Our [review of llms.txt evidence](https://www.citlyze.com/blog/does-llms-txt-work) covers the difference between publishing a machine-readable resource and proving an engine uses it.

## What does each schema type do?

The table separates current Google Search uses from the facts a machine can read. Google [warns that search appearance can vary](https://developers.google.com/search/docs/appearance/structured-data/search-gallery), even for supported features.

| Schema type | What it does in Google Search today | Relevance to AI answers |
| --- | --- | --- |
| `Organization` with `sameAs` | Helps identify the organization; can inform logos and knowledge panels. | Describes identity and related profiles. No documented citation guarantee. |
| `Product` with `Offer` | Supports eligible product results with price and availability. | Supplies explicit product and offer facts. No general AI-answer requirement. |
| `Article` with author | Helps Google understand article details and can support enhanced presentation. | Identifies authorship. Does not establish authority or ensure selection. |
| `LocalBusiness` | Supplies business details, including opening hours, for local search experiences. | Describes a location and its operating details. No guaranteed recommendation. |
| `BreadcrumbList` | Supports breadcrumb presentation in search results. | Describes the page's place in the site hierarchy. No established citation benefit. |

The AI column describes possible utility, not a documented ranking effect. A parser can read a named price field without inferring its meaning from surrounding prose. That does not prove an answer engine reads that field or gives the page more weight.

## Which structured data should you ship?

Choose types by page purpose. A store and a publisher need different fields. Start with facts you can keep accurate through the systems that already manage your content.

### Organization with sameAs

Describe the business on its homepage with its name, URL and logo. Add relevant contact details. Use `sameAs` for profiles or reference pages that identify the same organization.

An official company profile is a sensible candidate. A review of a competitor or a page about your industry is not an identity match. Check each URL before including it.

Citlyze's [free JSON-LD generator](https://www.citlyze.com/free-tools/schema-markup-generator) can help draft Organization markup. Review the values against the business details visitors can read before publishing.

### Product and Offer for stores

Describe the product a shopper can buy on that page. Use `Offer` for the selling terms, including the price, currency and availability.

Generate these values from the same catalog data you use for the visible price. A separate hand-maintained script creates another place to forget an update. If a sale ends, update the markup with the page.

For example, a hypothetical store that changes a price from $80 to $95 should publish $95 in both places. Keep the currency explicit too, since "$95" can refer to more than one currency.

### Article with author

Use `Article` or a suitable subtype for editorial content. Identify the author and provide a URL to a page that explains who wrote it. Keep the headline and publication details consistent with the visible article.

An author field identifies who takes responsibility for the work. It does not prove expertise. Support that responsibility with a useful bio and evidence within the article.

### LocalBusiness for location pages

Use `LocalBusiness` or a suitable subtype for an actual business location. Include the correct address, phone number and hours. A business with several branches should describe each location with its own facts.

Schema.org also uses `geo` for geography. The property can contain [GeoCoordinates](https://schema.org/GeoCoordinates), including latitude and longitude. Those coordinates describe a physical location. They have no connection to GEO as an abbreviation for generative engine optimization.

### BreadcrumbList for site hierarchy

Describe the route through your site, such as Home, Guides, then the current guide. Keep the names and destinations consistent with the navigation readers use.

Breadcrumb markup supports a defined Google Search feature. You do not need to claim an AI citation benefit to justify implementing it on a site with a useful hierarchy.

## What changed for FAQPage and QAPage?

Google retired FAQ rich results on May 7, 2026. Its [documentation changelog records the retirement](https://developers.google.com/search/updates#may-2026). Advice that promises expanded FAQ results from adding `FAQPage` is out of date.

`FAQPage` remains a valid schema.org type. It earns no FAQ rich result in Google Search. You can keep accurate markup for another consumer that uses it, but ask that consumer what it supports. A valid schema type alone does not establish a search benefit.

Keep useful answers on a marketing page because visitors need them. Explain delivery terms, cancellation rules or compatibility in visible text. You can help a buyer without attaching a search-feature promise to the markup.

`QAPage` is a different type. Google's [QAPage rules require users to be able to submit answers](https://developers.google.com/search/docs/appearance/structured-data/qapage#content-guidelines). The page should focus on one question and its answers, as a community support thread might.

Do not apply it to a marketing FAQ written by your team. Do not switch from `FAQPage` to `QAPage` to replace the retired feature. Google excludes FAQ pages from that use.

For the broader page work, our [guide to readable, extractable page structure](https://www.citlyze.com/blog/aeo-website-structure) covers headings and answer placement.

## How do you check the markup before publishing?

Review the visible page and the structured data together. For each field, ask where a visitor can verify the fact. Check the actual value, including currency and location details.

Use this release process:

1. **Choose a representative page.** Check a product page with a real offer, or an article with a visible author, before changing its template.
2. **Compare the facts.** Confirm that names and URLs identify the right entity. Check prices and availability against the visible offer.
3. **Validate the implementation.** Use Schema Markup Validator to check vocabulary and syntax. Use Google's Rich Results Test for the search features it supports.
4. **Inspect the published page.** Use Search Console URL Inspection to check what Google can access. Review the output after any template or plugin change.
5. **Assign maintenance.** Name the person or system responsible for updating prices, hours and author details when the underlying facts change.

Keep validation separate from visibility reporting. A passing validator establishes that markup passes those checks. It cannot prove that an AI engine will cite the page. If you track citations after a change, record other page edits so you can judge alternative explanations.

## What should a GEO schema service deliver?

Ask for a list of page templates, the types proposed for each, and the facts the provider will maintain. Require sample markup and a validation report. Have the provider identify any claimed Google Search feature in Google's current documentation.

A service can charge for auditing templates, correcting conflicting fields or connecting markup to your catalog. Those are concrete deliverables. A promise of a proprietary "AI schema" package needs a named standard and evidence for its claimed outcome.

Set the acceptance criteria before work starts: accurate facts, suitable types and a clear maintenance owner. You should be able to explain each field by pointing to something on the page. That gives you a useful implementation even when an answer engine changes how it selects sources.

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Canonical: https://www.citlyze.com/blog/geo-schema