What is statistics page link building?
Statistics page link building is creating a page that gathers the useful numbers on one topic in one place, so that people writing about the topic link to it when they cite a figure. The page targets searches like "remote work statistics" or "SEO statistics", which are made mostly by writers looking for a number to quote.
For example, a payroll software company publishes "Remote work statistics 2026", a page listing 60 figures on remote work, each with its source. A journalist writing about return-to-office mandates searches for a figure, finds the page near the top of Google, and links to it next to the number. Repeat that across hundreds of articles a year and the page becomes one of the most linked pages on the company's site.
Ahrefs' own "107 SEO Statistics for 2026" is a well-known example of the format, describing itself as a "curated, vetted, and categorized" list of current figures with links to the original sources [2].
How does statistics page link building work?
Statistics page link building works because writers search for numbers, and whichever page ranks for that search tends to get the citation. The tactic has three parts:
- Pick a topic writers cover often and for which they need figures, such as an industry, a behavior or a technology.
- Build the page from published figures, grouped by subtopic, each with a link to where it came from.
- Rank it and keep it current. The page earns links mostly through search, so it has to rank for "[topic] statistics" and be updated, usually under a current-year title.
The links that follow are editorial: a writer chose to cite the page. Unlike most link building, much of the work happens after publishing, in keeping the numbers correct and the page ranking.
Why does most advice on statistics pages fail?
Most advice on statistics pages fails because it treats the page as a list to assemble quickly, when the only reason a writer links to it is trust in the numbers. Popular guides tend to say: find a topic, copy figures from the top-ranking stats pages, add a few more, and update the year. That produces three problems.
- It repeats numbers without checking them. A figure copied from another stats page is only as reliable as that page. Figures commonly drift as they pass through collections: rounded, stripped of their sample, credited to the wrong organization, or carried forward from a survey several years old.
- It gives writers no reason to stop at your page. If your page only links to the original source, a careful writer clicks through and cites the original instead.
- It invites scale. A tactic that is "just a list" tempts sites to produce dozens of stats pages with AI tools. Google's spam policies define scaled content abuse as many pages "generated for the primary purpose of manipulating search rankings and not helping users," and name using generative AI tools "to generate many pages without adding value for users" and scraping other content as examples [3].
What is the difference between a statistics page and a data study?
A statistics page collects figures that other people produced, while a data study publishes figures you produced yourself. Both are linkable assets built around numbers, and Ahrefs lists studies and research among the main linkable asset types [1].
| Statistics page | Data study | |
|---|---|---|
| Source of the numbers | Other people's research | Your own research |
| Why writers link | It saves them searching | It is the only source |
| Risk of losing the link | High: writers can cite the original | Low: you are the original |
| How links arrive | Mostly through search, over time | Through outreach and digital PR, then search |
| Effort | Lower to build, ongoing to maintain | Higher to build |
The two work well together. A statistics page that includes even a few original figures, from a survey, your own product data or a small study, holds its links better, because some of its numbers exist nowhere else. See data study link building for the second approach.
Does putting the year in a statistics page title help?
Putting the current year in a title is associated with a small ranking advantage, but most of the benefit comes from the page being genuinely new or updated. Search Insider's study of 1,000 Google results pages found a current year in the title was worth about 0.62 positions, and roughly a third of that advantage was explained by year-stamped pages simply being newer (The year in your title is worth half a ranking position). The same study found a stale year costs about two positions.
For a statistics page, that points one way: change the year only when the numbers have actually been updated. A page titled "2026" that still leads with 2021 survey data is the version writers learn to distrust.
How do you build a statistics page writers trust?
To build a statistics page writers trust, verify every figure at its original source and show the reader how you did it. A practical standard:
- Trace each number to the original. Follow the link chain until you reach the organization that collected the data. If the chain ends at another stats page, or at nothing, leave the figure out.
- State the essentials next to each figure: who collected it, when, and the sample, for example "survey of 1,000 US adults, March 2026".
- Link to the primary source, not to the page where you found the number.
- Date the page honestly. Show when it was last reviewed, and remove figures that have been replaced by newer data.
- Add something original. A short survey, an analysis of your own data, or a chart combining several sources gives writers a reason to cite you rather than the original.
- Make figures easy to quote. One figure per line, written as a full sentence that can be lifted alone.
Google's starter guide says content that people find "compelling and useful" will likely influence search presence more than any other suggestion in the guide [4]. For a statistics page, useful means correct.
Do statistics pages still work with AI answers?
Statistics pages still earn links, but their future value is less certain because AI answer engines now state figures directly in their answers. A writer who asks an assistant for a number may never see the stats page the figure came from. AI assistants also cite pages, and a well-sourced stats page is the kind of page that can be cited.
No published study yet measures whether statistics pages are losing links or gaining AI citations as a result. Any claim either way is a guess for now.
When should you use statistics page link building?
Use statistics page link building when your business sits in a field that writers cover constantly and you can commit to keeping the page accurate for years. It suits software companies, research-heavy industries and publishers, and it works best when the page carries some numbers of your own.
Skip it if the plan is to copy the current top-ranking stats page and change the year. That page already exists, it already ranks, and the writers who check sources will link to the originals instead.