The fact that died a year ago is still closing your competitor's deals
Here's how it plays out. You raised your entry price, you shipped SSO to every tier, and you repositioned away from "cheap alternative" toward "platform." Your website says all of this. Your sales deck says all of this. And then a buyer opens ChatGPT, asks how you compare to a rival, and gets told your starter plan is $29 and SSO is locked behind enterprise. Neither has been true for eleven months.
The buyer doesn't know it's stale. They have no reason to doubt a confident, well-formatted answer. So they either cross you off for looking underpowered, or they show up to the sales call anchored to a price you no longer offer and annoyed when the number is higher. You lost or damaged the deal before a human ever spoke to you, over facts you fixed a year ago.
Why models keep repeating things that stopped being true
Language models are trained on a snapshot, and even the ones that browse lean on whatever ranks and gets cited most. Old facts have a head start. A pricing page you updated last spring is competing against a year of blog posts, review-site listings, Reddit threads, and third-party comparison pages that all captured the old number and never revised it. The stale version is often more numerous and better linked than your correction.
This is fact drift, and it's different from a hallucination. The model isn't inventing anything. It's faithfully repeating something that was accurate once. That makes it harder to spot, because the answer sounds reasonable and the source looked legitimate at the time. You can't catch drift by reading your own site, because your site is already right. The rot lives in the answer layer and the sources feeding it, which is exactly where nobody on your team is looking.
Monitoring drift instead of discovering it in a lost deal
Crescive checks what the major assistants actually say about you and flags the specific claims that no longer match reality. Not vibes, not sentiment, the concrete stuff a buyer acts on: the price, the feature availability, the tier limits, the positioning line. When an assistant quotes a number that changed, you see which assistant said it, what they said, and which sources they pulled it from.
From there Crescive traces the drift to its cause and drafts the fix, whether that's tightening your own pricing page so the current number is unmissable, or getting the stale third-party listing corrected. Every change goes through a human approval gate, and then it re-checks the assistants so you can see the wrong answer flip to the right one. You're proving the correction landed, not hoping it did.
Build the habit before your next big change ships
The worst time to discover drift is right after a launch or a price change, when the gap between reality and the AI answer is widest and freshest. Treat answer accuracy like uptime. Pick the ten claims that matter most to a buyer, and check what the assistants say about them on a schedule, not once a quarter when someone remembers.
Every pricing change, feature sunset, and repositioning is a new opportunity for drift. The teams that win the AI channel aren't the ones with the cleverest copy. They're the ones who notice, fast, when the machines are describing a version of their product that no longer exists, and close the gap before a prospect ever sees it.
Key takeaways
- AI fact drift is when an assistant confidently repeats something that was true about you once, like an old price or a killed feature, as if it's current.
- Drift isn't a hallucination and won't show up on your own site, which is already correct. It lives in the answer layer and the stale third-party sources feeding it.
- Monitor the buyer-facing claims that matter (price, features, tier limits, positioning) on a schedule, fix the sources, and re-check to confirm the answer flipped.
FAQ
What is AI fact drift?
AI fact drift is when an AI assistant repeats a fact about your product that was accurate in the past but is no longer true, such as an old price, a discontinued feature, or outdated positioning. It differs from a hallucination because the model isn't inventing information; it's faithfully repeating stale data from its training snapshot or from third-party sources that never got updated.
How do I stop AI assistants from citing outdated facts about my product?
First, find the drift by checking what each assistant actually says about your key claims, then trace it to the source. Correct the causes: make sure your own pricing and feature pages state the current facts unambiguously, and get stale third-party listings and comparison pages updated. Finally, re-check the assistants after the fix to confirm the correct answer now appears. Crescive automates this loop with a human approval gate on every change.