Does AI prefer pages with the current year in the title?

AI cited at least one page with 2026 in its title in 321,488 of 573,707 answers that carried citations, or 56.0371%. Counting individual citations, 1,204,884 of 5,928,344 citation links, or 20.3242%, pointed to a page with a year in its title, and 980,656 of those year-dated links, or 81.3901%, carried 2026. A citation link is one answer citing one page.

The current-year label is not a niche tactic. It sits inside the majority of cited answers, so a source audit that ignores how cited pages are titled misses a pattern present in most of the answers it reviews.

Pages titled 2026 drew 980,656 citation links. Pages titled 2025 drew 161,453, which is 16.4637% of the 2026 count. Pages titled 2024 drew 34,131, or 21.1400% of the 2025 count. Titles from 2023 drew 12,268 links, titles from 2022 or earlier drew 14,913, and titles carrying a future year drew 1,463.

Last year's label ages out fast in AI citations. A page still titled 2025 competes for roughly one-sixth of the dated-citation volume that 2026-titled pages receive, which makes stale year labels a concrete audit item rather than a cosmetic one. This distribution does not show that changing a title causes citations.

Among year-dated citation links, ChatGPT Search carried 2026 in 206,335 of 230,714, or 89.4334%, against 19,923 links titled 2025, a ratio of 10.3567 to 1. Google AI Mode carried 2026 in 774,321 of 974,170, or 79.4852%, against 141,530 links titled 2025, a ratio of 5.4711 to 1. Google AI Mode used year-dated pages slightly more overall: 21.2735% of its links versus 17.1017% on ChatGPT Search.

Audit engines separately. On ChatGPT Search a stale year label competes with an even more current-year-heavy citation diet, so refreshing dated pages matters most where that engine drives the traffic you care about.

In each full week of June, pages titled 2026 held between 77.8493% and 78.9665% of year-dated citation links. By the week of July 13 the share reached 81.6338%, by July 20 it reached 82.7001%, and by July 27 it reached 85.1553%. The trend uses the ten full weeks from May 25 through August 2.

The mix is still moving mid-year, so a one-time reading understates where the skew is heading. A quarterly rerun of the same fixed-window measurement is the right cadence for tracking it.

Among titled citation links, 1,661,701 pointed to pages with best or top in the title. 920,509 of those, or 55.3956%, carried a year, against 284,375 of 4,265,309 citations to other pages, or 6.6672%. These list pages also supplied 920,509 of all 1,204,884 year-dated links, or 76.3981%.

The cited unit is the dated roundup, a page titled in the Best X 2026 pattern, not the year label alone. A brand that wants to appear in dated AI citations is mostly competing to appear on those roundups, which connects this result to our page-type study of what AI cites most.

The 283,760 cited pages titled 2026 averaged 3.4559 citation links each. The 66,755 pages titled 2025 averaged 2.4186, and the 2,172,089 cited pages with no year in the title averaged 2.1740. A 2026-titled page therefore drew 1.5897 times the per-page citations of an undated page.

This is an association inside the set of pages AI already cited, not a measured lift. The study has no baseline of uncited pages, so it cannot show that adding a year to a title causes more citations, only that the current-year label concentrates citation volume.

Among the most-cited websites, forbes.com carried a year in 68.2913% of its titled citation links and 2026 in 60.2170%. techradar.com carried a year in 44.7617% and yahoo.com in 33.0082%. The community end ran far lower: Reddit.com 4.2039%, quora.com 1.1649%, arxiv.org 0.9652%, and Amazon.com 0.6812%.

AI's citation diet mixes two source styles: dated editorial roundups and undated community threads. A brand can pursue both, but the year-label tactic only exists on the editorial side, so benchmarking your category against Reddit.com-style sources will understate how dated the editorial layer is.

The primary rule labels a page by the greatest year token in its title and returned an 81.3901% 2026 share of year-dated links. Restricting to titles with exactly one year token returned 81.4870%, or 978,628 of 1,200,962. Starting the window on June 1 returned 81.4004%, or 942,744 of 1,158,155. Counting any title containing a 2026 token returned 981,458 links. Two independent query shapes returned the identical headline counts.

The measurement reads year tokens in stored page titles, so product names containing a year count as dated, 1,334 links to untitled pages sit outside the title cuts, and 1,463 links to future-year titles are reported separately. The study measures title labels, not publish dates. A page titled 2026 may be old content with a refreshed title, and this data cannot tell those apart. Parse's own website ranks among the most-cited websites in this corpus and is excluded from the website leaderboard to avoid self-reference.

Current-year titles sat inside 56.0371% of cited answers, 2026-titled pages out-drew 2025-titled pages 6.0739 to 1, and 76.3981% of year-dated citations went to best-of list pages.

Audit the cited pages in your category for year labels, starting with the engine that drives your traffic. Update or remove stale years on your own dated pages, since a 2025 label competes for one-sixth of the dated-citation volume. Prioritize appearing on the dated roundups AI already cites over adding a year to pages outside that format. Treat all of this as an association to test, not a proven lift, and rerun the same fixed-window measurement next quarter, when the 2026 label will itself start aging.