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Learn · The mechanics of AI visibility

AI assistants quietly discount content that never announces when it was true.

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The Timestamp Advantage: Why AI Hates Your 'Evergreen' Content

Large language models are trained to weigh recency as a proxy for reliability, and retrieval layers built on top of them — the systems ChatGPT, Gemini, and Perplexity use to check a live web page before answering — actively favor visible freshness signals: a publish date, a 'last reviewed' line, an updated statistic. Evergreen content, written deliberately without dates so it never looks 'old', backfires here: with no timestamp to parse, the model cannot verify the information is current, so it either skips the source or defaults to a competitor's clearly-dated page. GEO work replaces this ambiguity with structured freshness cues — dateModified in JSON-LD, human-visible 'updated' language, current-year references woven into the copy — giving the model concrete evidence your answer is the one worth surfacing today, not a static page that could be from 2019.

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Questions

Answered.

Does adding a visible 'last updated' date actually change how AI models rank a page?+

Yes. Retrieval-augmented systems parse dateModified and on-page date text as a recency signal when selecting which sources to cite, and models trained with recency weighting treat undated pages as unverifiable, often passing over them in favor of clearly timestamped competitors.

How often does content need a genuine update to keep this advantage?+

There is no fixed interval, but stale dateModified values are a red flag — a page updated 18 months ago with a fresh timestamp reads as manipulation. The goal is real edits (updated stats, new examples) paired with an honest date, refreshed on a cadence that matches how fast the facts in that page actually change.

Is a footer copyright year enough to signal freshness to AI crawlers?+

No. A copyright year is boilerplate and carries no structured meaning. Models and crawlers look for explicit dateModified schema markup and in-body freshness language — the two work together, and neither substitutes for the other.

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