Most brands worry about not being named in AI answers. Far fewer check what happens when they are. An engine can mention you prominently and still give the wrong founding year, a discontinued product, last year’s results or a namesake company’s reviews. Visibility without accuracy can cost more than absence, because the buyer believes what they read.
Where wrong answers come from
- Stale pages. An old press release or a third-party profile is easier to retrieve than your current page, so the engine quotes a figure that was true two years ago.
- Entity confusion. Two companies share a name, or a group runs several businesses, and the engine merges them into one description.
- Missing records. When no retrievable page states a fact clearly, an engine may fill the gap with something that merely sounds right.
- Low-quality or hostile sources. A single forum thread or complaint page becomes the most quotable thing written about you.
How to find them
Run the questions a buyer, investor or journalist would actually ask, across every major engine, and save each answer with its date and its cited sources. Then grade each answer line by line against a fact sheet your own team has signed off. Note the source behind every error. That source, not the engine, is what you fix.
How to correct them
- Publish the correct fact where it can be retrieved. A clear, dated page that answers the question in its opening lines.
- Make your entity unambiguous. Google’s documentation says Organization structured data can help it understand an organisation’s details and distinguish it from others. Consistent names, logo, address and sameAs links to your official profiles all support this.
- Deal with the stale source. Update or retire it where you control it. Where you don’t, request a correction with evidence, not a complaint.
- Strengthen corroboration. The correct version should appear in more than one credible place, not only on your own site.
- Re-measure. Run the same prompts again and record whether the answer changed, and which source the engine now cites.
What not to do
Don’t try to bury legitimate coverage or flood the web with thin pages. Engines look for corroboration, and manufactured volume tends to read as noise. Suppression attempts can also become the story themselves. And don’t expect an overnight fix: each engine refreshes its sources on its own schedule.
How we approach it
Optimizer360.ai grades AI answers against a client-approved fact sheet, traces each error to the source behind it, and corrects at that source. Every before and after can be checked by asking the engine yourself.
Request an audit to see how AI engines describe your brand today.