Does Schema Markup Help AI Visibility?

Google and Bing publish guidelines for traditional search engine optimization and provide tools to measure performance.

We have no such instruction from generative engine providers, making optimization much more challenging. The result is a slew of misleading and uninformed speculation.

The importance of Schema.org markup is an example.

Schema for LLMs?

I’ve seen no statement or indication from a large language model regarding structured data markup, including Schema.org’s.

Google has long advised using such markup for traditional organic search, stating:

Google Search works hard to understand the content of a page. You can help us by providing explicit clues about the meaning of a page to Google by including structured data on the page.

The search giant generates rich snippets from select structured data and gathers info on a business from additional markup types, such as Schema.org’s Organization, FAQPage, and Author.

While answers from Google’s AI Mode tend to come from top organic rankings, we don’t know the impact of structured data on AI agents or crawlers.

Unlike Google, LLMs have no native indexes. They generate answers based on their training data (which doesn’t store URLs or code) and from external search engines such as Google, Bing, Reddit, and YouTube.

To access a page, LLMs can (i) query traditional search engines, indirectly relying on structured data markup such as Schema.org, and (ii) crawl a page directly to fetch answers.

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AI Visibility

Many businesses don’t understand Schema.org markup, and thus retain the GEO services that claim implementing it will increase AI visibility.

Don’t be misled. I’ve seen no reputable case studies demonstrating that structured data improves AI mentions or citations. Implementation, moreover, is easy (and cheap) with apps and plugins.

Instead, focus on the proven long-term tactics:

• Create actionable content that helps LLMs understand the problems your products solve.

• Emphasize and invest in overall brand visibility, and track Google searches for your company and products.

• Ensure your brand and its benefits appear alongside competitors in “best-of” listicles and recommendations.

• Optimize your product feeds for conversational searches. Prompts are much more specific and diverse than search queries. Provide as much detail as possible to capture all kinds of conversations.

• Align your content and products with fan-out queries.

Low Priority

Structured data markup such as Schema.org likely drives organic search rankings and therefore helps AI visibility indirectly. Yet implementation is easy and almost certainly a low priority. What really matters for AI visibility is relevant content and long-term brand building.