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Neil Patel says original data belongs near the top of a page for AI citations
Publication date: 25.09.2026
In brief
- Neil Patel sees original data as a brand's main edge in AI search citations.
- He advises putting the strongest numbers roughly in the first third of a page.
- Clear headings, context next to statistics and Dataset and FAQ markup all help.
The Neil Patel blog published a piece on how a brand can get into AI search citations. The author starts from an analysis of AI citations published by Search Engine Land and, by his reading, original data becomes a strong differentiator in a crowded landscape. In his words: "Original research gives brands something valuable in an increasingly crowded search landscape: information that isn't available everywhere else."
Why original numbers specifically
The logic is simple. If six sites repeat the same statistic, a model can pick any of them. If you are the only source of a certain number, the model has no alternative, and you are the one it has to cite.
Patel lists original surveys, audience and customer research, internal studies and trend analysis, and industry statistics as sources of such data. Imagine, for example, a dental chain that publishes the average cost of root canal treatment in its city over a year, broken down by district. No general price roundup contains that table, and it is exactly the information that "isn't available everywhere else". The example is mine and hypothetical.
Where on the page to put the research
The most concrete advice in the piece is about placement: information that sits roughly in the first third of an educational or commercial page is cited more often, according to the author. That applies to blog posts and to product or service pages alike.
In practice Patel recommends four things:
- find your own data: surveys, internal studies, product usage;
- label numbers so it is clear what was counted, with descriptive headings, direct statements and context next to statistics;
- add Dataset and FAQ markup so systems can interpret the research more easily;
- move the strongest fact closer to the top of the page.
How markup helps machines read a page is covered in a separate guide to Schema.org and structured data. And how AI answers pick sources at all is explained in the piece on AI Overview and SGE.
What the piece leaves unproven
Patel cites the Search Engine Land analysis, but his text has no sample, no explanation of how citations were counted and no breakdown by AI platform. "Roughly the first third" also reads like an observation rather than a rule measured across page types. The author also sells SEO tools and services, so he benefits when brands publish more material.
There is one more circumstance for Ukraine that the English article does not consider: open Ukrainian-language data is scarce, so original statistics may stand out here even more. That is my assumption, and I have not seen verified numbers on Ukrainian-language AI answers.
In my view the advice to move the numbers up can be tested on one page in a couple of weeks. It amuses me a little that "put the most valuable thing first" is old enough to have been given to newspaper editors, and now it is back in new packaging.
