Guide
When AI gets your brand wrong
Assistants repeat what they can retrieve. A wrong price or a feature described as missing almost always traces to a real source that has not been updated. There is no correction form — the fix is to make the current fact easy to retrieve and consistent everywhere an engine looks.
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Find the source before fixing anything
The instinct is to update your own site and wait. That is rarely enough, because the claim usually came from somewhere else — a review profile written two years ago, a comparison page, a forum thread.
Start from the answer: which pages did the engine cite when it made the claim? That names the source you actually need to change.
Then make the correct fact easy to retrieve
State it plainly on your own site, in a passage that stands alone. A price buried in a comparison table is harder to lift than a sentence that says what the price is.
Then get the same fact into the third-party sources the engine already cites. Consistency is what does the work: a figure that appears identically across your site, your review profiles and your documentation is far harder to contradict than one that appears once.
Expect it to take weeks, and verify
Engines that retrieve live reflect a change fastest. Those leaning more on training take considerably longer, and some claims persist until a widely-cited source is updated.
This is why the fix has to be measured rather than assumed. Re-running the same prompts on a schedule is the only way to know whether the correction landed or whether a source you have not found is still repeating the old version.
Questions
Can I ask OpenAI or Google to correct something?
There is no general correction mechanism for organic answers. The practical route is changing what the model can retrieve: your own pages, and the third-party sources it cites for your category.
Why does one engine get it right and another wrong?
They draw on different sources and different training snapshots. An engine that retrieves live will pick up a correction sooner than one answering from an older internal picture.
What if the claim is genuinely damaging?
Treat it as a source problem first — find and correct the material it came from. Where a claim is defamatory rather than merely stale, that is a legal question rather than an optimisation one.
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How Allswap measures this
Read next
How to get cited by AI
Citations are earned on sources, not on your own site. How to find the ones that decide your category and get onto them.
How to get recommended by ChatGPT
What decides whether ChatGPT names your brand, which crawlers to allow, and the work that moves it — in the order worth doing.
Running an AI visibility audit
A first pass at finding out what AI assistants say about your brand: what to check, in what order, and what the results mean.
How this works by industry
The sources and buyer questions differ by market.
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