Two clocks: training cutoff vs live retrieval
The confusion around "how current is AI" comes from treating the model and the retrieval layer as one thing. They aren't. One is frozen; the other reads the open web at the moment a question is asked.
| Layer | How it refreshes | What it can cite |
|---|---|---|
| Training cutoff | Fixed until the next model ships — typically months apart | Only what existed in the training data; nothing published after the cutoff |
| Live retrieval | At question time, per query — pulls pages as they are now | Pages published hours ago, even against a months-old base model |
We don't publish specific per-engine refresh intervals as fact — the retrieval layer is opaque and varies by query.
Why retrievability beats the cutoff
If a page can be fetched and parsed at question time, a browsing assistant can use it regardless of when the base model was trained. That's why the practical lever isn't chasing the model's cutoff — it's making sure your page is reachable, readable, and current when the retriever comes looking.
The corollary: a page that is technically fresh but unretrievable (blocked, unrendered, unlinked) contributes nothing, no matter how recently it was updated.
The cadence that actually earns citations
Freshness correlates with citation, but only substantive freshness. Update a page when what it says actually changes, and the retrieval layer treats it as current.
| Action | Effect |
|---|---|
| Substantive update within 30 days | About 3.2x more ChatGPT citations than stale content in our panel |
| Date-only lastmod bump | Doesn't count — no lift |
| Bulk-bumping lastmod across the site | Can be punished as a manipulation signal |
Instrument: a frozen five-engine panel, each query sampled k times.
Common questions
Does ChatGPT know about a page published today?+
If it browses, yes — the retrieval layer pulls live pages at question time, so a page from hours ago is fair game even though the base model's training cutoff is months old. Without browsing, it's limited to what it was trained on.
Should I update pages on a schedule to stay fresh?+
No. Update when the content substantively changes. Calendar-driven date bumps with no real change don't earn the freshness lift, and bulk-editing lastmod across a site can get you punished.
How much does substantive freshness actually matter?+
In our panel, content updated within 30 days with a real change earned about 3.2x more ChatGPT citations than stale content. Freshness tracks with citation, but only when the change is substantive.
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