Date signals for AEO are the visible and structured date details on your pages, such as published and last updated dates, that help AI engines judge freshness, relevance, and trust. If your dates are missing, confusing, or inconsistent, your content can look stale even when it's actually useful.

Why this matters

AI engines don't just look at what you wrote. They also look at when you wrote it and whether the page still looks current. That matters even more for topics that change over time, such as laws, pricing, software, finance, healthcare, and anything with moving parts.

A page with clear date signals tells answer engines that the content is being maintained. A page with no dates, old dates, or mixed-up dates can quietly lose trust. It's a bit like milk in the fridge. If there's no date on it, people start sniffing around nervously.

What counts as a date signal

Date signals are the clues that show when a page was first published and when it was last updated. The strongest setups make those dates easy for both people and machines to understand:

  • A visible published date on the page
  • A visible last updated date when changes are made
  • Matching dates in structured data (Article or BlogPosting schema)
  • Consistent dates in the HTML and XML sitemap
  • Archive dates that make sense within your wider content history

Published dates and updated dates are not the same thing

This is where many sites go a bit wonky. The published date tells readers when the page first went live. The updated date tells them when meaningful changes were made. You should not change a published date every time you fix a typo. But if you refresh facts, add new sections, improve examples, or remove outdated information, an updated date makes sense and helps build trust.

A real example

Bay Real Estate has a guide called "How First-Time Buyers Can Prepare for Mortgage Approval." The page was published in 2023, but mortgage rates and lender criteria changed in 2026. Bay updates the guide, refreshes the figures, rewrites a few sections, and clearly shows "Last updated April 2026" on the page and in the schema.

That simple change gives both readers and AI engines a stronger reason to trust the content. It looks maintained, relevant, and alive. Without that update signal, the same guide could look stale even if most of the advice is still solid.

How to add date signals that AI engines trust

1
Show dates clearly on the page. Put the published date and, where relevant, the updated date near the top of the article in an obvious place.
2
Keep the wording consistent. Use clear labels such as "Published" and "Last updated". Avoid vague wording that leaves readers guessing what changed and when.
3
Match visible dates with your schema. If your page shows one date and your structured data shows another, that sends mixed signals. Keep them aligned.
4
Only update dates when the content has really changed. Changing the date without improving the page can look manipulative. Use updated dates when there has been a meaningful refresh.
5
Prioritise important pages first. Start with pages that deal with time-sensitive information, key commercial pages, and articles that already bring in traffic.

Schema alignment matters. The dateModified field in your Article or BlogPosting schema should match the date visible on the page. If a crawler reads "Updated April 2026" on the page but your schema says 2023, that inconsistency weakens the freshness signal rather than strengthening it.