Skip to content

Does schema markup still matter for AI search?

Short answer

Schema markup can help machines read your page, but Google says its AI features do not require it. Microsoft Advertising says schema helps search engines and AI systems understand content. Fix access, indexing, and clear answers first, and mark up only what is visible.

Key takeaways
  • Google says structured data isn't required for generative AI search, and there is no special schema.org markup to add.
  • Microsoft Advertising says schema helps search engines and AI systems understand content, and it sells advertising.
  • Structured data must describe content visible on the page, and misleading markup can cost a page its rich result eligibility.
  • Bing's guidance for being cited centres on headings, FAQs, evidence, and fresh content, not on schema alone.
  • Check that engines can reach and index your pages before you spend time on schema.

Schema markup is one of the first things people try when they want to show up in AI answers. The engines that have said anything about it do not agree on how much it matters. This page lays out what each says, and what to do before you touch it.

It matters less than the basics, and it is not required. Google and Microsoft say different things, and both statements can be true for their own products.

  • Google. It says "Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add" [1].
  • Microsoft Advertising. It says schema helps search engines and AI systems understand your content [4]. It sells advertising, so weigh that with its interest in mind.

Some reports note that many pages cited by AI engines carry structured data. We found none with a published method that shows the markup caused the citation. A page that is cited and also has schema may be cited for other reasons.

What does schema markup do?

It describes what a page is in a format a machine can read. Google defines structured data as a standardised format for providing information about a page and classifying the page content. It says it uses structured data to understand the content of the page [2].

Microsoft Advertising says schema is usually added in JSON-LD format as a script in the backend of your site. It can classify content as products, reviews, FAQs, or events [4].

What does Google say about AI features?

For Google, the requirements are the same as for search. A page must be indexed and eligible to be shown in Google Search with a snippet to be eligible for its generative AI features [1].

Google also says you do not need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search [1]. That covers Google only. It says nothing about ChatGPT, Perplexity, or Copilot.

What does Microsoft say?

Microsoft Advertising's guidance treats schema as one of several ways to make content easy for AI systems to use. It also says headings work like chapter titles that define clear content slices, and that question and answer formats mirror the way people search [4].

Bing's own advice for being cited is to strengthen depth and expertise, improve structure and clarity through headings and FAQs, support claims with evidence, and keep content fresh and accurate [5]. That list does not name schema.

What are the risks of getting it wrong?

Markup that does not match the page can cost you. Google says "Don't mark up content that is not visible to readers of the page" and "Don't mark up irrelevant or misleading content, such as fake reviews or content unrelated to the focus of a page" [3].

It says a structured data issue can result in a manual action, and that a manual action means a page loses eligibility for appearance as a rich result [3]. Only mark up what a reader can see on the page.

What should come before schema?

Do the basics first. This is the order we would use:

  1. Make sure engines can reach your pages. Check your robots.txt and your firewall.
  2. Confirm your pages are indexed. Use Google Search Console and Bing Webmaster Tools.
  3. Give each page one clear topic. Use a descriptive heading and put the answer in the first sentence.
  4. Support claims with sources and keep the page current [5].
  5. Add schema last. Use only types that match content a reader can see.

How do you check if robots.txt blocks AI crawlers?

Open yourdomain.com/robots.txt in a browser and look for rules that apply to the crawlers you care about. OpenAI says OAI-SearchBot surfaces websites in ChatGPT's search features and that blocked sites will not be shown in ChatGPT search answers [6]. Perplexity says to allow PerplexityBot to be indexed in its search results [7].

Look for a Disallow line under OAI-SearchBot, PerplexityBot, Googlebot, or a general User-agent: * group. A block in your firewall is separate from robots.txt, so check that too. OpenAI says it can take about 24 hours for its systems to adjust after you change robots.txt [6].

Use descriptive headings, short answers under each one, and lists or tables for comparisons. Microsoft Advertising recommends descriptive headings over vague ones, and says tables and lists break complex information into clean, reusable segments [4].

Is it worth adding schema?

If it is accurate and you can maintain it, it is a low-risk addition. If your site already outputs correct schema, keep it. Do not expect it to decide whether an engine names you.

What AI answered

We asked 11 buyer questions, 3 times on each engine.

ChatGPT
39
different sites cited in 33 runs
Perplexity
155
different sites cited in 33 runs
Gemini
None
no source list returned
22
different agencies or tools named in 99 runs
developers.google.com
most cited source, in 16 of 99 runs

C8 check, October 2026. ChatGPT (chatgpt.com, logged out, model not shown), Perplexity (Perplexity API (sonar)), Gemini (Flash-Lite). Each prompt asked 3 times on each engine, logged out, one fresh session per run.

Sources

  1. Optimizing your website for generative AI features on Google Search, Google Search Central. Accessed 2 Oct 2026.
  2. Introduction to structured data markup in Google Search, Google Search Central. Accessed 2 Oct 2026.
  3. General structured data guidelines, Google Search Central. Accessed 2 Oct 2026.
  4. Optimizing Your Content for Inclusion in AI Search Answers, Microsoft Advertising, October 2025. Accessed 2 Oct 2026.
  5. Introducing AI Performance in Bing Webmaster Tools Public Preview, Bing Webmaster Blog. Accessed 2 Oct 2026.
  6. Overview of OpenAI crawlers, OpenAI. Accessed 2 Oct 2026.
  7. Perplexity crawlers, Perplexity. Accessed 2 Oct 2026.

First published


Umashanker Gupta Chowdhury is the Founder and Chief Executive Officer of Ravenence, leading the company’s direction and its client partnerships.

More from Umashanker →

Related questions

View all answers →

Want your business named in answers like this one?

We rebuild your website around the questions customers ask Google and AI. Done for you, in 7 days.