Original Research and Statistics Pages: Why Engines Love Numbers

This is the case for publishing original research. Not because it is trendy, but because a number with a source attached is the most citable unit of content there is.

Why numbers get cited

An engine assembling an answer needs to sound grounded. A specific figure with a clear origin lets it do that without hedging. In our testing, pages that present a handful of clearly sourced statistics tend to be cited more often than longer pages that argue the same point without data, and the citation usually lands on the sentence containing the number.

There is a second effect. Once your figure is quoted in a few places, other writers pick it up and cite you, and the engine now sees your page as the origin of a fact that appears across the web. That compounding is slow but durable.

What counts as original

You do not need a research department. You need data nobody else has, and most companies are sitting on some:

• Product usage data, aggregated and anonymized. "The median team sends its first automated invoice 11 days after signup."
• Survey data from your own customers or audience. Even 150 responses, honestly described, is more than most competitors have.
• Public data, reassembled. Pulling government, job-board, or app-store data into a view nobody has built before.
• Benchmarks from your own testing. Page speed across 500 sites in your category, response times across 20 vendors.

What does not count: restating other people's statistics in a roundup. Those pages exist by the thousand, and the engine will cite the original, not you.

How to structure the page

The figures must be findable without reading the whole report.

Put the three to five headline numbers at the top, each in its own sentence, each with the sample and the date. "Among 412 US accounting firms surveyed in September 2026, 58% use two or more invoicing tools." That sentence can be quoted alone and remain accurate.

Follow with a methodology section that says who was surveyed or what was measured, when, how many, and what the limitations are. Engines do not reward methodology directly, but it is what makes a writer comfortable citing you, and those writers are the next layer of sources.

Give the page a stable URL and a clear title with the year. Update it annually at the same URL rather than publishing a new one, so citations accumulate on one page.

Add Dataset schema if you publish the underlying data, or at minimum Article schema with a clear datePublished. Make the key charts available as text too, since a number that exists only inside a PNG is invisible to a text fetch.

The trap

The incentive to invent or inflate is real. A round, dramatic figure spreads faster than an honest, modest one. Resist it.

Engines are increasingly cross-checking claims against multiple sources, and a figure that appears nowhere else and cannot be traced to a method is the kind of claim that gets flagged or ignored. Worse, a fabricated statistic that does spread becomes a permanent liability. We do not publish numbers we cannot defend, and we do not recommend clients do either. The same rule applies to our own reporting: share-of-answer figures come from logged prompts and recorded responses, not estimates.

Small research, done well

The best-performing research pages we have seen are often narrow. One question, one dataset, one clear finding. "How long does it take B2B SaaS companies to respond to demo requests? We tested 200." That page can be built in two weeks and will be cited for years if the method is sound.

Pick one question your buyers argue about and nobody has measured. Measure it. Publish the number in a sentence that stands alone, say how you got it, and put it at the top of the page.

At AEO GEO Labs we treat one original research page per quarter as a reasonable target for most clients, and we track which figures get quoted and by which engines in the weekly report. If you want to see which pages engines currently cite in your category before deciding what to measure, AEO GEO Labs includes a source map in every visibility audit.