There is no published schedule, so honestly: nobody — including us — can give you an exact date. Some changes show up in AI answers within days, and others take much longer, because different systems refresh their information in different ways and none of them publish their timing.
Why the timing varies so much
AI assistants build their answers in two broad ways, and the difference explains most of the waiting.
The first way is a live lookup. When you ask a question, the system searches the current web, reads pages, and builds the answer from what it finds at that moment. If your corrected page has been re-read by the search systems behind that lookup, the new fact can appear quickly — this is the fast path, and it is why a correction sometimes shows up in answers within days.
The second way is previously gathered information. Systems also rely on material they collected and organized earlier. That stored picture of your business updates on the system’s own internal cycle — one the platforms do not publish, do not let you trigger, and do not confirm when it happens. When an answer is built mainly from stored information, a correction can wait a long time even after you have fixed every source. This is also why one assistant can show your new phone number while another keeps giving out the old one for weeks or months afterward: they are not looking at the same picture, or not refreshing it at the same pace. Understanding how AI systems retrieve information helps explain why there is no single clock to point at.
One more layer sits underneath both: before any of this, the search engines and crawlers have to re-read your pages. They revisit pages on their own schedules too. Busy, frequently updated pages tend to be revisited more often; a small business page that rarely changes may sit longer between visits. None of these schedules are published either.
Corrections have to land at the sources first
There is one part of the timeline you do control, and it comes before all the waiting: the correction itself has to exist everywhere the old fact lives. If you changed your phone number on your website but three directories still carry the old one, AI systems keep seeing the old number — and your correction is now competing with it. Fix the fact in every place it appears:
- Your own website, in plain text on the page (not only inside a photo, a scanned menu, or a graphic — information locked in images may never be read at all).
- Your Google Business Profile and other map and directory listings.
- Industry-specific directories, booking platforms, and social profiles that state the fact.
Only once the sources agree does the refresh clock — such as it is — really start.
A concrete example
A café moves two streets away. The owner does the right things on day one: the website’s contact page is updated in plain text, the Google profile gets the new address, and the main directories are corrected — except one, an old listing site nobody remembered, still showing the original address.
For the first stretch, AI answers about the café are a muddle. One assistant gives the new address, because its live lookup found the corrected site. Another gives the old address with complete confidence, because its stored information has not refreshed. A third hedges between the two, because it can see both addresses in its sources and has no way to know which is current. The owner only untangles this because she keeps checking the major assistants every couple of weeks and writing down, with dates, what each one says. When she finds and fixes the forgotten listing, the wrong answers gradually thin out — not on a date anyone could have promised her, but visibly, across her dated notes.
What this means for your business
- Fix everything first, then wait. A correction that exists in only one place may never fully take.
- Distrust exact promises. Anyone who tells you “AI will update by Friday” is inventing a schedule that does not exist in public. The honest variables are which system, which kind of answer, and whether your sources agree.
- Check on a schedule and keep dated records. The only way to know whether a change has landed is to ask the major AI assistants the questions your customers ask, note the date and the exact answer, and repeat. That record also tells you which platforms lag and which sources a stale answer is probably coming from. This is the core of AI Visibility Monitoring, and it is how change gets verified rather than assumed — the measurement side of the work is covered in our AI visibility research section.
- Start from a baseline. If you have never recorded what AI says about you today, you cannot tell what changed later. An AI Visibility Audit captures that starting point.
Related questions
- How do I fix wrong information about my business online?
- Why does AI give the wrong phone number for my business?
- What does AI say about my business?
- Does having a website matter for AI, or are listings enough?
- How do I check what AI says about my business?
Published: November 1, 2026
Last reviewed: November 1, 2026