Structured Data for AI Search and GEO: A Restaurant's Guide
By ReleVantage. Last reviewed September 13, 2026.
Short answer
Structured data gives search systems explicit clues about a page's entities and meaning, such as your restaurant's hours, address, and menu, and can make pages eligible for supported rich results. It is not required for Google's generative AI features, there is no special AI or GEO schema, and markup does not guarantee rankings, citations, AI mentions, indexing, or rich-result display.
Structured data, Schema.org, and rich results are three different things
Most confusion about schema and AI search comes from collapsing three separate layers into one word. Keeping them apart makes it obvious what markup is actually responsible for.
Schema.org vocabulary
Schema.org is an open, collaboratively maintained vocabulary of types and properties, such as Organization, Article, Service, and Product. It is not owned by any one search engine and it contains far more types and properties than any single consumer supports.
Structured data on your page
Structured data is the machine-readable markup you publish, usually as JSON-LD in the page source, using that vocabulary. Google's introduction to structured data describes it as a standardised format for providing information about a page and classifying its content.
Google-supported rich results
A rich result is a specific Search appearance feature. Only the subset of markup documented in Google's structured data gallery can make a page eligible for one, eligibility is never a guarantee, and the list of supported features changes over time.
So: Schema.org is the dictionary, structured data is what you wrote with it, and rich results are the small set of things Google chose to render from it.
What structured data can do
Markup is a disambiguation layer. It states plainly what a page is about and which real-world entity it describes, instead of leaving that to be inferred from prose and layout.
Google's guidance on AI features in Search says that normal SEO fundamentals remain applicable to AI Overviews and AI Mode: there is no separate technical programme for generative features, and the same crawlability, indexability, content quality, and structured data practices continue to apply.
- Classify the page: state whether it is an article, a service page, a product, or a restaurant profile
- Identify the entity: connect a page to a specific restaurant or person rather than a name that happens to match
- Make key facts explicit: author, publisher, publication and modification dates, service offered, breadcrumb position
- Establish eligibility for supported rich results such as Article, Breadcrumb, Product, and review snippets
- Give your own site a consistent internal fact model that content, profiles, and third-party sources can be checked against
What structured data cannot do
This is where most GEO advice overreaches. Markup is a clarity mechanism, not a ranking or citation mechanism, and no public documentation supports the stronger claims.
- It does not guarantee a ranking improvement in Google Search
- It does not guarantee that a rich result will be shown, even when the markup is valid and eligible
- It does not guarantee indexing; a page still has to be discovered, crawled, and judged worth indexing
- It does not guarantee a mention or a citation in ChatGPT, Gemini, Google AI Mode, or any other assistant
- It is not required for Google's generative AI features, and there is no AI-specific or GEO-specific schema type to add
- It cannot compensate for content that does not answer the question, for a site that cannot be crawled, or for facts that contradict trusted third-party sources
Which schema type fits which page
Choose the type that describes the real thing on the page, not the type that sounds most impressive. If the markup and the visible content disagree, the markup is wrong.
| Page or entity | Useful schema type | When it fits | What it does not prove |
|---|---|---|---|
| Company identity page | Organization | One canonical page describes the business, its name, logo, official URL, and verified profiles | Does not prove reputation, size, credibility, or that the business is a good choice |
| Founder or team bio | Person | A named individual with a real public presence and verifiable profiles | Does not prove expertise, credentials, or authority on a topic |
| Service offering page | Service | The page describes a specific service the business actually performs | Does not create a Google rich result and does not prove service quality or outcomes |
| Guide, explainer, or news piece | Article | Editorial content with an identifiable author, publisher, and dates that match what is visible | Does not prove accuracy, originality, or that the article will be cited anywhere |
| Any page in a hierarchy | BreadcrumbList | The page sits under a real, navigable parent path that matches the visible breadcrumb | Does not prove site architecture quality or improve rankings on its own |
| Physical or digital product | Product with Offer | A genuine product with a real visible price, currency, and availability. Service offerings should be described with Service; add an Offer only when it accurately matches the visible transaction details of a service | Does not prove value, stock accuracy, or that a price rich result will appear |
| Physical or service-area location | LocalBusiness | Only when the business genuinely has the relevant local facts, and those facts match the visible page and trusted profiles | Does not prove a real presence in a location, and misused location markup is a policy risk |
| Self-serve software product | SoftwareApplication | The page describes an application users install, sign up for, and operate themselves | Does not fit a managed service just because clients receive dashboard access |
| Question and answer content | FAQPage | Genuine questions and answers that are visible on the page and useful to readers | Does not earn a Google FAQ rich result; that Search feature was removed in 2026 |
| Third-party feedback | Review or AggregateRating | Ratings collected and displayed under Google's review snippet rules for the supported content types | Self-serving review markup about your own restaurant or local business is not eligible for Google's star review feature |
A practical implementation workflow
Treat structured data as a factual data layer that has to be maintained, not a one-off deployment. The order below keeps markup honest and diagnosable.
- Choose the real entity: decide what the page is actually about before picking a type
- Match visible content: every marked-up fact must be present and visible to a human on the same page
- Use stable IDs: give core entities durable @id values so they can be referenced instead of duplicated
- Connect entities: link author to publisher, article to restaurant, service to provider, page to breadcrumb
- Validate syntax: confirm the JSON-LD parses and uses properties the vocabulary actually defines
- Test Google-supported features separately: eligibility for a rich result is a different question from valid markup
- Deploy and confirm the markup is present in the server-rendered HTML, not injected only after client-side scripts run
- Inspect the live URL in Search Console to see what Google actually read
- Monitor Search Console for enhancement errors and for changes after Google updates its documentation
- Update when facts change: a wrong price, stale date, closed location, or renamed service makes the markup a liability
Common mistakes and policy risks
Google's structured data general guidelines treat markup as content subject to quality and spam policies. Invalid markup is a missed opportunity; misleading markup can cost eligibility or trigger a manual action.
- Marking up content that is not visible on the page, or that contradicts what the page says
- Claiming LocalBusiness facts a business does not genuinely have, such as a location it does not operate from
- Using SoftwareApplication for a managed service because clients log into a dashboard
- Publishing self-serving reviews or aggregate ratings about your own restaurant
- Inventing awards, client counts, certifications, or results inside markup
- Duplicating conflicting entity data across pages instead of referencing one canonical entity by @id
- Letting dates, prices, and offers go stale after a page is edited
- Adding every schema type available rather than the one type that describes the page
2026 myth check
Myth: there is a special AI or GEO schema type
There is not. Schema.org publishes no AI-specific or GEO-specific type, and Google documents no separate markup requirement for AI Overviews or AI Mode. The guidance is that normal SEO fundamentals continue to apply to generative features.
Myth: FAQPage markup still earns a Google FAQ rich result
It does not. Google removed the FAQ rich result from Search in May 2026 and removed the supporting documentation in June 2026. FAQ content can still help users, and FAQPage remains a valid Schema.org type, but it should not be added in the expectation of a Google FAQ rich result.
Myth: llms.txt influences AI visibility in Google
Google has said it ignores llms.txt for ranking and visibility in Google Search, including its generative AI features. A site may still maintain the file for other systems, but it should not be presented as a Google visibility tactic.
Myth: structured data buys AI citations
No public documentation supports that claim. Markup can make your entity and your facts unambiguous, which is a reasonable precondition for being described correctly, but it does not guarantee a mention or a citation in any assistant.
How ReleVantage applies the principle
We mark up what is true and verifiable, and nothing else. ReleVantage is a managed AI SEO and GEO service, so our pages use Organization, Person, Service, Article, and BreadcrumbList markup rather than SoftwareApplication, even though clients have 24/7 dashboard access. Dashboard access is part of a managed engagement, not a self-serve product.
We do not add any address to structured data unless it is publicly verified, visible where appropriate, and consistent with trusted profiles. We do not publish self-serving review or rating markup. Our service coverage is stated as ChatGPT, Gemini, and Google AI Mode only, in the copy and in the data, because markup that overstates coverage is the same problem as copy that overstates it.
Entity and schema correction is one workstream inside the ReleVantage methodology; it sits alongside content restructuring and third-party source work rather than replacing either.
Frequently asked questions
Is structured data required for AI Overviews or AI Mode?
No. Google states that its generative AI features do not require special markup and that normal SEO fundamentals remain applicable. Structured data still helps by making a page's entities and meaning explicit, and it can make a page eligible for supported rich results.
Is there a special schema type for AI search or GEO?
No. Schema.org publishes no AI-specific or GEO-specific type, and Google documents no AI-specific markup requirement. Use the type that accurately describes the page, such as Organization, Service, Article, or Product.
Does FAQPage markup still produce a Google FAQ rich result?
No. Google removed the FAQ rich result from Search in May 2026 and removed the documentation in June 2026. FAQPage remains a Schema.org type and FAQ content can still help readers, but it should not be added expecting a Google FAQ rich result.
Does llms.txt help visibility in Google Search?
No. Google has said it ignores llms.txt for ranking and visibility in Google Search, including generative AI features. A site may keep the file for other systems, but it is not a Google visibility tactic.
Can we add review stars to our own restaurant page?
Not with self-serving markup. Google's review snippet guidance excludes reviews written or hosted by the business about itself for the restaurant and local business review feature, so self-serving Organization or LocalBusiness review markup is not eligible for star review display.
Sources
Primary documentation referenced in this guide.
- Google Search Central: Introduction to structured data markup (opens in a new tab)
- Google Search Central: Structured data markup that Google Search supports (opens in a new tab)
- Google Search Central: Structured data general guidelines and policies (opens in a new tab)
- Google Search Central: Article (Article, NewsArticle, BlogPosting) structured data (opens in a new tab)
- Google Search Central: Organization structured data (opens in a new tab)
- Google Search Central: Review snippet structured data (opens in a new tab)
- Google Search Central: AI features and your website (optimization guide) (opens in a new tab)
- Google Search Central: AI features in Google Search (opens in a new tab)
- Google Search Central: Google Search status and documentation updates (opens in a new tab)
- Schema.org: Schema.org vocabulary (opens in a new tab)
Keep reading
- How to optimize content for AI search
- What is generative engine optimization (GEO)?
- How AI SEO differs from traditional SEO
- How to measure brand visibility in AI answer engines
- Generative engine optimization service
- Authority and citation building service
- The ReleVantage methodology
- AI SEO and GEO services
- AI search for restaurant groups
- All resources
Want this applied to your brand?
We start with a recorded baseline of how ChatGPT, Gemini, and Google AI Mode describe your restaurant today, then work through the fixes in priority order. Results vary and placements are not guaranteed.