Does Perplexity Favor Recently Updated Pages Over Older Authoritative Content?

What does the data show?

Seer Interactive analysed 47,097 citations of 7,683 pages across ChatGPT, Gemini and Perplexity from March to June 2026. It covered four industries: retail energy, commercial banking, travel and pet retail. Each cited page was dated by its last update:

Perplexity had the lowest share of recently updated pages in every one of the four industries. Seer linked the differences partly to what each engine cites, and its 2026 content recency study breaks the results down by industry and page type. Gemini leaned on marketplaces, aggregators, comparisons and reviews, which are the freshest page types, while ChatGPT leaned on blogs and guides.

An earlier Ahrefs analysis of about 17 million citations, published in 2025, found that AI assistants as a group cited pages about 25.7% fresher than those in Google's organic results. The average was 1,064 days old against 1,432. So every assistant, Perplexity included, cites newer pages than classic search results. But in the comparison between assistants, Perplexity is not the most recency-driven.

Why does Perplexity look recency-obsessed?

Several features make Perplexity feel more focused on recent content than the data suggests:

• Reference order. Ahrefs observed that Perplexity and ChatGPT order their in-text references from newest to oldest, so the first sources a user sees tend to be recent.
• Question mix. Many people use Perplexity for current events, product research and "latest" questions, where recent pages naturally dominate.
• Visible sources. Perplexity shows its sources prominently, so users notice publication dates more than in other assistants.
• Live retrieval. Perplexity searches the web for most questions, so new pages can appear in answers soon after they are crawled.

When does older authoritative content still win in Perplexity?

Older pages hold their place when the question is not time-sensitive and nothing newer answers it better:

• Definitions and explanations of stable concepts.
• Original research and primary data that others cite, where the original remains the source.
• Official documentation, standards and regulations that have not changed.
• Detailed guides in niches where few newer pages exist.
• Reference sources with established reputations.

What these have in common is that recency adds nothing to the answer. An authoritative page from 2021 explaining how compound interest works is as correct today as a new one. For a question like "best savings accounts right now", a page from 2021 is useless however authoritative its publisher.

When does recency decide?

How should you update older authoritative pages for Perplexity?

1. Check whether the facts are still true. If they are, the page may need little more than a light review.
2. Update what has changed: figures, examples, product names, screenshots and steps.
3. Add what is new, such as recent developments or a section answering a newer question.
4. Keep the same URL so existing links and citations still point to it.
5. Show a visible updated date, and set dateModified in the page's structured data, only after substantive changes.
6. Note what changed in a line near the top or bottom, for readers and engines.
7. Avoid date-only updates. Changing the date without changing the content misleads readers and adds nothing an engine can use.

A refresh schedule by content type is covered in how often to refresh old content to improve AI visibility.

How can you test recency effects for your own questions?

Run 15–20 of your buyers' questions in Perplexity, a few times each. For every cited page, record its publication and last-updated dates and whether it is your page or a competitor's. You will quickly see which of your questions reward recency and which do not. If a newer, weaker page is being cited over your older, stronger one, the question is probably time-sensitive, and an update is likely to help. If older pages dominate, your effort is better spent on clarity and coverage than on refreshing dates. When Perplexity keeps citing outdated information, see why AI search uses outdated information as if it were current.

What do people ask about Perplexity and freshness?

Will updating a page get it cited in Perplexity faster?

It can, once Perplexity recrawls the page, particularly for time-sensitive questions. Updates only help if the content genuinely improves.

Does Perplexity use the published date or the updated date?

Perplexity does not document how it weighs dates. Studies date pages by their last update, and showing both dates clearly is the safest approach.

Is Perplexity more recency-driven than Google AI Overviews?

Generally, yes. Ahrefs found AI Overviews cite older pages than the assistants do, close to the age of Google's organic results.

Should old blog posts be deleted so they do not compete?

No. Update, merge or redirect them if they are outdated; keep them if they still answer a question well.