Does Perplexity weight recency more heavily than ChatGPT does when deciding which product page to cite, and should that change how often we update content?

Does Perplexity cite fresher pages than ChatGPT?

Perplexity does not cite fresher pages than ChatGPT in the largest study that compares them, and a smaller 2026 study agrees (Seer Interactive, July 2026). The larger study measured the age of 17 million pages cited by AI engines and Google (Ahrefs, July 2025). ChatGPT's citations were the newest, at 958 days since publication against Perplexity's 1,166. By last update, ChatGPT's citations and Perplexity's are level, at 989 and 993 days, and ChatGPT's in-text references are fresher still, at 865. So Perplexity shows no stronger pull toward fresh pages.

Ahrefs also found that Perplexity and ChatGPT list newer sources first within an answer, which it reads as "intentional age-related ordering". Our reading: recency shapes citation order more than selection, which fits why one product page serves ChatGPT, Perplexity and Gemini.

What do Perplexity and ChatGPT document about how they fetch pages?

Perplexity and ChatGPT document the same two-part design: an index crawler for search results (PerplexityBot, OAI-SearchBot) and a fetcher that visits a page live when a user asks. Neither company's crawler documentation names a recrawl interval or a freshness signal (Perplexity and OpenAI crawler docs, October 2026).

So a same-day edit can reach either engine through its live fetcher or wait for its index crawler, and neither company says which fires when. Any figure that weights Perplexity's freshness comes from outside observation, because neither vendor publishes one. How fast a brand-new page reaches Gemini and ChatGPT is a separate question.

Does updating content more often get a product page cited more?

Updating content more often does not by itself get a product page cited, because AI engines reward maintained substance, not new dates. One large study found AI assistants cite pages first published 2.9 years earlier on average, and it warns that "Low-quality, irrelevant content that's updated every day will not have a magic positive effect on your visibility in AI search" (Ahrefs, July 2025). It still concludes there "may be some benefit to regularly updating content".

Maintenance shows up in citations all the same. A 2026 study found 75% of the pages ChatGPT, Gemini and Perplexity cited had been updated in the past year, with Perplexity the most forgiving of older pages (Seer Interactive, July 2026).

Google says its systems "look at several factors" to estimate when a page was "published or significantly updated" (Google Search Central, October 2026). So a new date on unchanged copy is not a significant update. It also spends the one signal, a visible and truthful last-updated date, that makes a dated claim trustworthy.

What should set the update cadence for a Shopify product page?

Facts that expire should set the update cadence for a Shopify product page: price, stock, compatibility and policy. Shopify Catalog, the product feed Shopify shares with AI channels, "continuously updates your product data, ensuring that there's accurate inventory and pricing" (Shopify Help Center, October 2026).

ChatGPT can still trail a price change. OpenAI says that when merchants change prices or shipping terms, "there may be some delay before it is reflected in the information you see" (OpenAI Help Center, October 2026). So price and stock travel through the catalog, and the product page only has to agree with it.

In Deploi's judgment, a merchant selling 400 SKUs (stock keeping units) with seasonal ranges needs a quarterly review of dated claims on the page. Price and availability need a same-day path.

When is a content refresh schedule the wrong investment?

A content refresh schedule is the wrong investment when it changes no fact a shopper or an AI engine relies on, as in these four cases.