You changed the website. You updated the sales deck. Then someone asks an AI assistant what your company does, and it describes the business you were two years ago.
Start by collecting the exact errors and checking where the old story still appears. You can improve the sources you control and request corrections elsewhere. You can't set a deadline for every AI system to adopt the new description.
That may feel less satisfying than a quick fix, but it gives your team a useful job to do this week.
What exactly is out of date?
“AI doesn't understand our brand” is difficult to investigate. “This answer says we only serve agencies, but our current product also serves in-house teams” is specific enough to check.
Save the question, complete answer, date, tool, and any cited URLs. Separate factual mistakes from wording you simply don't like. An old price, discontinued feature, or incorrect product category deserves different treatment from a description that is accurate but less polished than your messaging.
Also check the question. If you ask about the company's history, a description of its earlier business may be relevant. If you ask what it offers today, the same description may be misleading.
Keep examples from several checks. That will help you distinguish a recurring issue from one unusual response.
Build a short source of truth
Write a fact sheet your team can verify. Include:
- The current company name and product category.
- The customers you serve and the jobs the product handles.
- Current capabilities, important limits, and pricing links.
- An owner who can confirm each fact and a last-checked date.
For a hypothetical company that moved from a reporting agency to a reporting software business, the fact sheet should explain the distinction plainly. Does it still offer services? Can customers buy software without a services contract? Which old offers are no longer available?
Those details do more work than a fresh slogan. A sentence such as “We now sell reporting software directly to marketing teams; our consulting service closed in June” answers a concrete question, provided the dates and facts are true.
Have product, support, and the commercial owner check the sheet. Don't use an AI answer as evidence for a fact about your own company.
Fix the pages people are most likely to consult
Review your homepage, About page, product pages, pricing, documentation, and help center. Look for contradictions in visible copy, page titles, descriptions, and structured data. If the page says one thing and its metadata says another, resolve the disagreement.
A rebrand may also leave behind older landing pages. Decide whether each should be updated, retained as clearly dated history, or redirected to a genuinely relevant replacement. Don't send every retired URL to the homepage just to make the old wording disappear.
Link to the current explanation from relevant older material. A reader arriving through a years-old article should have an obvious route to today's product.
Google's structured-data guidelines require markup to represent the page's visible content accurately. Updating markup is part of maintaining a consistent page; it isn't a promise that an assistant will use your preferred description.
Follow the sources in the answer
If the answer links to an outdated page, open it. Does the old statement actually appear there? If so, record the passage and the correct source beside it.
For a page you own, make the correction. For a directory, partner page, or review profile, use its normal correction process and provide a concise factual update. Keep a record of the request and outcome. Don't ask an independent reviewer to replace an honest opinion with your marketing copy.
Sometimes no linked source explains the error. Record that limitation. You may still find old descriptions by searching for distinctive phrases, but finding a matching page doesn't establish that the assistant used it.
Our guide to AI citations explains the linked-source signal. It helps to keep that separate from a brand mention with no visible source.
Recheck consistently and report what changed
Create a small question set: what the company does today, who it's for, a core capability, and one common misconception. Keep historical questions in their own group. Use the same wording and record the setup each time.
WildSEO's tracked answers and brand-description reports can help you review those observations. Pair the totals with actual examples: which statement was wrong, what evidence supports the correction, and whether the latest answer still repeats it.
Use our measurement guide to avoid mixing answer presence with other visibility metrics. More mentions won't compensate for a repeated factual error.
After you publish corrections, verify the live pages and keep a change log. Report “our source pages are corrected” separately from “the sampled answers now use the current description.” They're different milestones.
Your goal is a clear, consistent public record that customers can verify. Start there, then keep watching the answers that matter to your business.
