AI is citing wrong information about my brand: trace the page first
When an AI answer states something wrong about you and links a source, that source page is your lead. Three cases (your stale page, the wrong third-party page, a correct page misread) and how to confirm the fix was crawled and cited.
A wrong claim with a citation under it is better news than it looks. The engine has told you where it thinks the claim came from. Often the problem lives on that page, and a page is something you can change or at least answer.
This post is about following that link. If the mistake has no source attached, or you aren't sure what kind of mistake it is yet, start with classifying the mistake instead. Here we assume an answer is citing wrong information about your brand and you want to know which page to blame.
One caveat before anything else. A citation shows which pages the engine attached to its answer. It doesn't prove which sentence the wrong claim came from. Treat the cited page as the first suspect, then confirm.
Look at every citing answer, not one
A single screenshot gives you one URL. Pull every tracked answer that repeats the claim, list the cited URLs, and count how often each one appears. A URL that sits behind most of the wrong answers is a strong suspect. One cited once is probably noise.
Also check where the same URL shows up in answers that get the fact right. If the page is cited in correct and incorrect answers alike, you're likely in case three below, and editing it blindly could make things worse.
Case 1: your own stale page
The cited URL is on your domain, and when you open it, it really does say the wrong thing. An old pricing announcement. A product page for something you retired but never removed. A help article that still uses last year's plan names.
This is the cheapest case because you control the page. Put the current fact near the top in a sentence someone could quote, and date it. If the page describes something retired, redirect it to the replacement rather than leaving it live. If it has value as history, keep it but say plainly what changed and when.
For long pages, Promptwatch's Content Refresh suggests diff-style updates to an existing page, which beats rewriting from scratch. Our content refresh playbook covers how we decide what to rewrite and what to leave.
Case 2: the wrong third-party page
The cited URL belongs to someone else. Three kinds come up again and again.
Directory and review listings carry an old description, an old price or the wrong category. Promptwatch's Citation Trends sorts every citation into 20 source types, including a Directory type for G2, Capterra and Trustpilot-style listing sites, so you can see how much of your citation mix comes from them. Start with your own profile on those sites, because you can usually edit it yourself. Our post on review sites and ChatGPT goes further.
Competitor comparison pages are harder. A rival's "us vs them" page quotes your pricing from a year ago, or a feature gap you closed. You can't edit it. You can publish your own accurate, dated comparison and ask the author politely for a correction. When a competitor's page owns the AI citation covers that situation in more detail.
Old Reddit and forum threads keep getting cited long after the facts moved on. The honest move is to reply, say who you are and give the current facts. How Reddit threads shape AI answers explains how to do that without being the problem.
Prioritize by frequency. Work first on the third-party pages cited most often for the prompts your buyers actually use.
Case 3: a correct page, misread or blended
Sometimes the cited page is right and the answer is still wrong. The engine misread it, or blended it with another source cited in the same answer.
A hypothetical example: your pricing page lists two plans in a table, and the answer pairs the cheaper plan's price with the bigger plan's limits. Or the answer cites your page and a competitor's page together and attaches their feature to your name.
The cause is usually page structure. Prices sit apart from the plan names they belong to. Facts are spread across tabs or accordions. Several products share one page. The fix is to make the page hard to misread: one fact per sentence, plan name and price on the same line, a short plain summary at the top.
Check what the crawler actually saw, too. If the crawled version of the page is missing the part that states the fact, no amount of rewording will help until that part is visible. Query fan-outs are worth a look here as well. They show the sub-queries the engine ran, which can explain why a competitor's page ended up in the same answer.
The tracing toolkit we use
We do this work in Promptwatch, and it's the one platform we'd point you to for it, because the tracing and the confirmation happen in the same place.
Citation analytics has three tabs: All Citations, URL Positions and Citation Trends, each filterable by monitor. Citation search marks competitor domains, so a rival's page behind a wrong claim stands out. On URL Positions, the Agent Chat panel can point out cited domains that belong to competitors you don't track yet, and it asks before adding one. When you've found a suspect URL, yours or a competitor's, put a Page Tracker on it and follow how often it's cited from then on. The Page Tracker post walks through that setup.
If you're on Business, Agency Scale or Enterprise, Fact Check adds a shortcut for case 1. Mark the claim Inaccurate and it reads the pages crawled from your site for ones that state it or its opposite, with quotes and a next step. That can surface a stale page on your own domain that isn't even the one being cited.
Confirming the fix was read and used
This is where most correction work stops too early. Someone edits the page, waits a fortnight, runs one prompt and declares victory or defeat. We check three things in order.
First, was the new version crawled at all? Since November 4, each page in Promptwatch's sitemap view has tabs. The Content tab shows the page as crawled, in preview or markdown, and how much changed between the last two audits. That confirms the site audit saw your edit. It doesn't prove an AI bot did, which is what the Agent Analytics tab on the same page is for: crawler visits and crawler logs for that one URL. Look for AI bot visits after your edit date.
Second, was it indexed, or used in an answer? The November 4 GEO 360 crawler classification helps here. Search indexers such as OAI-SearchBot, Claude-SearchBot and Meta-WebIndexer count as AI crawls. Citation crawls are only bots that fetch a page while answering a user, like ChatGPT-User. An OAI-SearchBot visit after the edit means the fixed page was collected. A ChatGPT-User fetch means the page was read to answer somebody. Those are different milestones, and the second one matters more. If your charts span that date, note that citation crawl totals fell by as much as AI crawl totals rose when the classification changed. Our post on search indexers versus user fetches has the detail.
Third, is it cited, and did the wrong claim stop? The AI Visibility tab shows that URL's citation rate and position over time, along with the prompts and responses that cite it. Read the responses from after the edit, not just the rate. A page can keep its citation rate while the answers built on it finally say the right thing.
If a page gets crawled often and still isn't cited, Agent Analytics' crawl-to-citation path gives a citation rate per page, which separates a content problem from an access problem. Crawled often but rarely cited usually means the content. Rarely crawled usually means access. The crawl-to-citation post covers both.
Plan note: crawler logs are IP-verified and start on Professional ($245 a month) for brands. Essential has none. Every agency plan includes them.
What to expect
We don't have a sourced timeline for how quickly a corrected page shows up in answers, and we don't give clients one. What the steps above give you is evidence at each stage: the page changed, a bot fetched it, an answer used it. When one stage stalls, you know where to look. For the broader routine around factual errors, see when AI engines get your facts wrong.
Next step
Find the single URL cited most often behind the wrong claim and decide which of the three cases it is. Then put a Page Tracker on it during a Promptwatch 7-day free trial and check its sitemap tabs after you publish the fix.