LLM Update Cycle and Content Refresh Strategy: The 90-Day Playbook

When ChatGPT answers "best QR menu solution in Austin," it cites content that was written within its training window. If your blog post is six months stale, a freshly updated competitor will win the citation. AI search has turned freshness into a ranking signal you cannot ignore.

LLM Knowledge Cutoff Calendar

Each LLM operates on a different update rhythm. ChatGPT typically advances its knowledge cutoff every 4-6 months, Claude models retrain on fresh data every 3-4 months, and Perplexity bypasses the cutoff entirely by indexing the live web. That difference creates a huge visibility gap for time-sensitive queries containing year references like "2027 QR menu."

A real-world example from restaurant SaaS: one team that updated year references quarterly and added 30-day data points lifted their AI citation rate by 340% in six months. The articles weren't technically rewritten — only timestamps, stats, and recent examples were refreshed.

The 90-Day Refresh Playbook

Split your editorial calendar into 90-day cycles. Every quarter, run the same three-step refresh and commit the diff so search engines can detect the modification. This compounds across both Google's Helpful Content signals and LLM crawler "last-modified" metadata.

• Year references: Update every year mention in the title, H1, intro paragraph, and meta description.
• 30-day data points: Add new industry stats, pricing shifts, regulation news, or product launches.
• Schema refresh: Bump the dateModified field and any references inside Article structured data.

Winning "Content Freshness for AI Search"

To rank for ChatGPT's "content freshness for ai search" query, two signals dominate: a visible publication/modified date on the page, and at least one numeric reference younger than 90 days. Together they place your content in the "evergreen-but-current" bucket that LLMs prioritize in summarized answers.

The thMenu content team runs a five-item Monday checklist: which post is older than 80 days, which year references are stale, which competitor published new data this month, which queries lost an AI Overview, and which LLM shipped a new model version. Twelve weeks of this routine fully refresh a library of any size.

FAQ

Do I have to rewrite the whole article every 90 days? No. Refresh year references, numeric stats, and "last-month" claims while leaving the underlying structure intact. This is the most cost-effective SEO maintenance strategy.

Which LLM updates most often? Perplexity is real-time, then Claude (3-4 months), ChatGPT (4-6 months), and Gemini last. Plan your editorial cadence around the fastest cycle, not the slowest.

Should I change the URL after a refresh? No. Changing the URL discards existing backlinks and the LLM citation index. Only update the body, dateModified, and schema fields.

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