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@tjrobertson52 TikTok profile avatar

@tjrobertson52

2026-05-13

Everyone says schema markup = more AI citations. Ahrefs tested 2,000 pages and found… nothing. Correlation was never causation 👀 What do you actually think moves the needle?...

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If you've been following GEO advice on how to rank an AI search, you definitely heard about the importance of structured data or schema markup. I think it's safe to say this is the most commonly repeated piece of advice for ranking an AI. If you want AI to notice you, you need to have structured data or schema markup on your pages.

Most of the time, people making these LinkedIn posts or TikTok videos had no data to support this claim, but occasionally they would point to the fact that pages cited by AI are much more likely to have structured data on them. And that seems like proof, right? Well, recently Ahrefs called BS on that.

They just published, as far as I know, the first large scale study to figure out if structured data has any impact on AI citation rate. Ahrefs understood something that these GEO experts on LinkedIn didn't. Correlation does not necessarily equal causation.

Pages that have structured data on them are just more likely to be optimized and maintained, and therefore also more likely to be cited by AI search. That's by no means evidence that the structured data caused AI to cite the page more frequently.

To determine if adding structured data actually caused AI to cite these pages more often, Ahrefs was smart. They identified about 2,000 pages that previously did not have structured data and then added it between August 2025 and March 2026. They then measured how often those pages were cited by ChatGPT, Google's AI mode, and Google's AI overviews against a control group, found surprise surprise, no significant correlation.

In fact, in Google's AI overviews, they found a slight negative correlation of 4%.

Ahrefs' blog post provides a lot more data and information, including why they think there might be a slight negative correlation in AI overviews. Their methodology is really impressive, but for those of us that have actually been doing the work and running the experiments, this was no surprise.

The truth is, if structured data actually made AI cite your pages more often, it would be really easy to prove, and there are a lot of incentives for people selling these services to prove it. Of course, that data has yet to emerge, and unless something changes in how these AI systems work, it never will. Hopefully this is the final nail in the coffin.

There are, of course, many other things that will help you get cited and recommended more often by these AI systems, and that's what I talk about in like half of my videos.

Source Intelligence

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The cited Ahrefs study found no significant AI citation lift after adding structured data to about 2,000 pages.

2 related signals · Structured data / AI citations / Correlation / schema claims

  • Treat schema as useful for clarity or eligibility where appropriate, not as a proven AI citation ranking lever.
  • Require causal evidence before accepting GEO ranking-factor claims based only on correlations from cited pages.

Questions this source answers

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What is this source mainly about?

The cited Ahrefs study found no significant AI citation lift after adding structured data to about 2,000 pages.

What should an operator take from it?

Treat schema as useful for clarity or eligibility where appropriate, not as a proven AI citation ranking lever.

Which topics does it connect to?

This source is connected to Structured data / AI citations, Correlation / schema claims.

What public evidence supports the record?

If you've been following GEO advice on how to rank an AI search, you definitely heard about the importance of structured data or schema markup. I think it's safe to say this is the most commonly repeated piece of advice for ranking an AI. If you want AI to notice you, you need to have structured data or schema markup on your pages...