How Often to Update Content for AI: A Fact-Driven Schedule

How often to update content for AI comes down to one rule: update a page the day a fact on it changes, and review your fact-bearing pages on a schedule (monthly for pricing and comparison pages, quarterly for product, integration and About pages) to catch what slipped through. Updating on a calendar for its own sake, or changing the date without changing the content, has no evidence of getting a page retrieved or cited more by a live AI engine. The one controlled test that changed only the date used synthetic pages already in a model's context, and Google treats date changes without real edits as a warning sign.

What stale content does cause is wrong answers. An old price on a forgotten blog post, a former CEO on the About page, a retired plan in the FAQ: when an AI system retrieves that page, it repeats what the page says. For AI, freshness is a fact-accuracy problem, not a ranking trick.

The update schedule, by page type

Use events as the trigger, not the calendar. The scheduled review exists to catch the events nobody told you about.

Two rules sit on top of the table. When a fact changes, change it everywhere in one release, because a half-done change leaves two versions for an AI system to choose between. And when a review finds nothing wrong, leave the page alone.

Why "freshness" is the wrong frame for AI

An AI answer about your brand comes from one of two places, and freshness means something different for each.

• What the model learned in training. This is frozen at a knowledge cutoff. As of October 2026, OpenAI lists an April 30, 2026 knowledge cutoff for its flagship GPT-6 Astra and for GPT-6.1 Sol, and April 20, 2026 for the Instant model ChatGPT currently uses. Anthropic lists June 2026 for its current Claude models. Nothing you publish after those dates reaches what those models say from memory; only a future model can pick it up.
• What a live search retrieves. When ChatGPT, Perplexity, Gemini, Claude or Google's AI Overviews search the web, they read whatever version of a page their crawler last fetched. Here a stale page hurts right away: it is a source of wrong facts.

The live-search path is where your updates count, and it is triggered by exactly the questions where stale facts do damage. Anthropic's web search documentation says Claude searches for "Current prices, rates, scores, or statistics" and "Information about specific organizations, people, or products that might have changed," and answers stable questions from memory. When web search is on, "How much does your product cost?" is the kind of question that sends Claude to your live pages.

Content freshness for AI and SEO: what the evidence shows

The claim that "AI rewards fresh content" rests on a handful of studies. Here is what each one measured, and what it cannot tell you.

Read together: AI systems cite pages of every age, and a model choosing between matched pages avoids the one that looks out of date. Nobody has shown that changing a page's date gets it retrieved more often.

That supports keeping time-sensitive facts current and visibly dated. It does not support a refresh calendar.

Never change the date without changing the content

This is the one piece of popular freshness advice to drop completely. Google's helpful content guidance lists it as a warning sign: "Are you changing the date of pages to make them seem fresh when the content has not substantially changed?"

It also fails mechanically. Google's sitemap documentation says it uses the lastmod value only "if it's consistently and verifiably (for example by comparing to the last modification of the page) accurate," and that the value "should reflect the date and time of the last significant update to the page." A site that bumps every date teaches Google to ignore its dates.

It breaks your own measurement too. If every page shows last month's date, you can no longer tell which pages someone actually checked. Date rules that hold up:

• Change the fact first, then the date. The date records an edit; it is not the edit.
• Show a visible, labeled date. Google's publication-date guidance says to "Add a user-visible date to the page and feature it prominently," labeled as published or last updated.
• Keep every date in agreement. The visible date, the schema dateModified, the sitemap lastmod and the server's Last-Modified header should tell the same story.
• Date the fact, not only the page. On a pricing or comparison page, write "Prices as of October 2026" next to the prices, so a reader (or a model) knows what the number describes.

How to run a fact-freshness review

1. Write a fact sheet. One document with every fact that changes: plan names and prices, trial terms, founding year, headquarters, CEO, headcount, owner, integrations and key features. Our guide to brand entity optimization shows a template.
2. Find every page that states each fact. Search Google for the old value on your own domain, for example site:example.com "$59" or site:example.com "Pro plan". Old prices hide in blog posts, FAQs, comparison pages and press releases.
3. Fix every copy in one release. Change the page text, the footer, your structured data and any downloadable PDF together.
4. Update the profiles you control. LinkedIn, Crunchbase, G2, Capterra, app marketplaces and Google Business Profile all carry your facts, and AI systems read them too.
5. Confirm the crawlers can fetch the fixed page. Your robots.txt must allow the search crawlers (OAI-SearchBot, PerplexityBot, Claude-SearchBot, Googlebot), and your firewall must let them through. OpenAI's ChatGPT search help says to "allow OAI-Searchbot to crawl the site and confirm that the website host or content delivery network allows traffic from OpenAI's published searchbot IP addresses."
6. Ask Google to recrawl the key pages. Use the URL Inspection tool in Search Console. Google's recrawl guide says "Crawling can take anywhere from a few days to a few weeks," and that repeat requests for the same URL will not speed it up.
7. Ask the AI platforms the same question again. Note the date, and whether the answer cited web sources. A cited answer came from a live search; an uncited one may come from memory.

How fast do updates reach AI answers?

It depends on which of the two sources produced the answer. No platform publishes a refresh time for AI answers, so the table sticks to what the operators document.

That last row is why a wrong answer can survive a perfect fix. If you corrected a price in August 2026, a model with an April 2026 cutoff still knows the old one when it answers without searching.

How often should you check what AI says?

Re-check after every fact change, and on a fixed schedule in between: monthly suits most brands, weekly during a launch or a pricing change. The same question can get a different answer on different days, and some answers come from a live search while others come from memory, so one check is a snapshot. Keep a log with the date, the platform, the exact question and the cited sources.

That log is what turns "AI seems wrong about us" into a fix list. 99Visibility's hallucination detection does the comparison for you: it checks each AI answer against the brand facts you enter (founding year, headquarters, headcount, CEO and start year, ownership and acquisitions, pricing, features) and flags wrong or outdated claims. If the wrong answers trace back to your own pages, our walkthrough on fixing AI hallucinations about your brand covers each platform's correction path.

Frequently asked questions

How often should I update content for AI visibility?

Update a page when a fact on it changes, the same day for prices and plans. Then review pricing and comparison pages monthly and product and About pages quarterly to catch changes nobody flagged. There is no evidence that updating more often than the facts change improves AI visibility.

How often should I refresh content to stay cited by AI?

No study has shown that a refresh cadence keeps a page cited. AI systems cite pages of every age; Ahrefs found the average AI-cited page was close to three years old. Refresh a page when it is wrong or incomplete, not to reset a clock.

Does changing the date on a page help AI visibility?

Not on any live AI engine anyone has measured; in one synthetic test, models preferred a page dated 2026 over an identical copy dated 2019. Google flags "changing the date of pages to make them seem fresh when the content has not substantially changed" as a warning sign, and it ignores sitemap dates that are not verifiably accurate. Change the date only when the content changes.

How often should I refresh product facts to avoid conflicting AI outputs?

Every time one changes, and everywhere it appears in the same release: product pages, pricing, FAQs, old blog posts, structured data and third-party listings. Conflicting AI answers often trace to two versions of the same fact still live on the web. Our guide to a pricing page for AI search covers pricing, where a wrong fact costs you a sale.

How often should AI visibility data update?

Monthly is enough to see a trend for most brands; check weekly while a launch or pricing change is rolling out. Always re-check after you ship a fact correction, and record whether each answer cited web sources, because citations show whether a live search or the model's memory produced it.

Run a free 99Visibility audit to see whether ChatGPT and AI Overviews mention you and how many of your facts they get wrong.