Fix what AI says
AI already names your brand. Now it has to get the facts right.
“ChatGPT still quotes the price we dropped a year ago.”
You are in the answer, and the answer is wrong: a price you no longer charge, a product you discontinued still listed as the flagship, an office that closed, a competitor’s line about you repeated as fact. Nobody complains to you; the buyer just moves on. We trace each claim to the source the engine cited, fix the pages you own, chase the ones you do not, and keep asking every day until each engine drops it.
What stands in the way
The wrong answer has a source, and nobody is looking for it
Five reasons the old price and the closed office are still in this morning’s answer.
You found out from a customer
A customer mentions that Gemini told them you do not ship to their country, or that Perplexity still lists a plan you retired. That is the one who said something. Everyone else read the same answer, believed it, and went elsewhere, and nothing on your side logged any of it.
The engine is citing your own stale page
The source under the wrong claim is your own site: a pricing page from two years ago that still resolves, or a location page for the office that closed. The engines quote what they can read, and that old page still reads fine to them.
A directory you cannot edit is the source
The claim came from a listing on a review site or a business directory, entered by someone else years ago and never touched since. You have no login and no editor to write to, and the engines put it above your own site for the one question it gets wrong.
A competitor’s comparison page is the source
A rival published “them versus us” with the features you lacked in 2024 and the label “the legacy option”. The page is tidy and answers a direct question, so the engines quote it for prompts about you. The competitor is not going to update it.
Every engine says something different, and nobody tracks which
ChatGPT has the new price but the old service area, and Copilot has the reverse. Google AI Mode says the office is closed; Perplexity says it is open. Somebody on your side checked one engine once, in one country, and found nothing wrong. The answer keeps moving, and nobody has a record of where it was last week.
Why it matters
The engines get facts wrong often, and buyers rarely check
45%
of AI assistant answers had at least one significant issue
22 public service broadcasters in 18 countries reviewed over 3,000 answers from ChatGPT, Copilot, Gemini, and Perplexity. 31% had serious sourcing problems: missing, misleading, or wrong attributions.
60%+
of citation queries were answered incorrectly by AI search tools
1,600 queries across eight AI search tools, including ChatGPT, Perplexity, Copilot, and Gemini. The tools rarely said they were unsure; they gave a confident wrong answer instead.
35%
of the time, leading chatbots repeated a false claim about the news
Up from 18% a year earlier, across ten chatbots. They stopped declining to answer, and what they answered instead came from whatever the web said, so they were wrong more often.
6%
of Americans who see AI summaries trust them a lot
53% have at least some trust, 46% little or none. 5,153 US adults, August 2025. That is enough trust to act on the answer, and too little for anyone to check it with you.
How it works
Change the answer by changing what it was built from
An AI answer is assembled from pages. Four steps trace each wrong claim back to the page it came from, fix that page, and watch the claim leave the answer.
Step 1 · Pin down the claim
Every wrong statement, logged with the answer that made it
The platform runs your tracked prompts every day on ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode and keeps every answer in full, with every source it cited. There is no automated accuracy detector. A person on our team reads the recorded answers engine by engine and logs each wrong, outdated, incomplete, or unfavourable statement: the old price, the discontinued product, the closed location, the “legacy option” line.
Each entry in the log carries the prompt, the engine, the country, the exact wording, and the sources the answer cited for it. That is the list the rest of the work runs from.
- Wrong, outdated, incomplete, or unfavourable, each tagged so the fix is the right kind
- Per engine and per country, because the same prompt gets a different answer in each
Step 2 · Trace the source
Find the page the claim came from
Most wrong answers come from a page that was right once. The cited-pages and cited-domains tables show which URLs the engines leaned on for each prompt, marked as yours, a competitor’s, or somebody else’s: your own outdated pricing page, a directory listing, a Reddit thread, a review from two years ago, the news story about the merger that still uses the old name.
Each claim in the log gets its sources attached, which tells you who can fix it and how hard that will be: a rewrite on your site, a request to someone else, or a new page that answers the question better than the stale one.
- Owner on every source: yours, a competitor’s, or a third party’s
- Reddit, YouTube, and LinkedIn pages ranked by how often the engines cite them for your prompts
Step 3 · Fix at the source
Rewrite what is yours, chase what is not, and publish a better source
The first fix is a rewrite of the pages you own: the one that still lists the old price, the location page, the about page that never mentions the new name. Each states the facts plainly enough to be quoted, and llms.txt and the structured data say the same thing. Sources you do not own get a plan instead: update the directory, answer the thread, ask the publisher for a correction. Alongside that, a page of yours goes up that answers the exact question the wrong answer was for.
A content routine drafts that correction page from what the engines currently answer and cite, and a person approves it before anything goes live. On Managed GEO our team ships all of it on your site. On GEO Consulting & Trends your web, content, and PR teams ship it, from the fix list we hand them.
- One page per wrong claim, written to be the source the engines quote instead
- Nothing publishes without a person’s approval
Step 4 · Watch the answer change
The same prompts keep running until each engine drops the old claim
The prompts that surfaced the claim keep running every day, and the log shows the day each engine stopped repeating it, per country, along with the engines that still say it. Nobody has to go back and check by hand, because the daily record already did.
Engines update on their own schedules. A page you fixed can be recrawled within weeks. A source somebody else owns may take longer, or never change. Some answers are memorised rather than looked up, and those only shift when the model is retrained. We tell you which is which, and the record shows what each engine still says today.
- The date each engine dropped the claim, and the ones that have not yet
- Movers: the prompts, sources, and competitors that gained or lost since the last window
Two ways to fix it
Who does the fixing
Both engagements start with the free audit and run on the same daily record. What changes is who rewrites the pages and chases the sources.
For small and medium businesses
Managed GEO
We read the answers, trace each claim, rewrite the pages on your site, update the listings we can reach, publish the correction pages, and keep the prompts running. You confirm the facts and take one call a month. From $990 a month, scoped after the audit.
For large companies
GEO Consulting & Trends
We deliver the log of what each engine gets wrong in each market, the source behind every claim, and the fix list by owner: web, content, PR, and the partners who hold the listings. Your teams ship it. We track every engine until the old claim is gone and brief you on what changed.
The platform behind the work
Where the log and its sources live
- Your prompts run daily on every major AI engine, with every answer kept in full, so a wrong claim is on record the day it appears and the day it goes.
Prompt Tracking
- The Reddit threads, YouTube videos, and LinkedIn pages the engines cite for your prompts, ranked, so you know which thread to answer first.
Social Monitoring
- Which competitors the engines name beside you, and whose comparison page they quote when they describe you.
Competitor Research
- The diagnosis before the fix: a full read of what each engine says about you today, delivered as a report.
Audit AI Answer Accuracy
Questions about fixing the answer
What people ask us once they have seen the wrong answer
Why does the engine keep quoting our old price after we updated the page?
Usually because the answer was never built from the page you updated. The engine cited an old URL that still resolves, or a directory listing, or a comparison page somebody else wrote, and that source still says the old number. Sometimes the model is not looking anything up and is answering from what it memorised in training, which only changes when the model is retrained. The cited-sources table for the prompt shows which of these you have. An old URL of yours gets a redirect and a rewrite, a listing gets a request, and the rest gets a new page that answers the question better than the stale one.
What if the wrong claim comes from a site we do not control?
Then the fix is a plan rather than an edit, and it is slower. If the source has someone we can write to, a directory or a review site or a publication, we send them the correction with the facts and a page of yours that states them. If it is a thread, you or we answer it, plainly and with your name on it. Either way we also publish the page that answers the exact question better than the stale source does, because the engines cite the clearest current answer they can find. A competitor’s comparison page is not going to change, but the page that outranks it in the answer can.
Does the platform detect wrong answers automatically?
No. The platform records every answer for your tracked prompts, every day, on every engine, with the sources each one cited. A person on our team reads those answers and logs what is wrong, outdated, incomplete, or unfavourable, because deciding that a price is stale or a framing is unfair takes someone who knows your business. What the platform does on its own is keep the record: the same prompt, asked the same way every day, so the log shows the day the wording changed.
Do we need to fix every engine separately?
The fix is the same, because the engines read the same web: your pages, the listings, the threads, the comparisons. What differs is how quickly each one picks up the change and which sources it prefers. Perplexity and Google AI Mode look things up on every answer, so they tend to move first once a page is recrawled. ChatGPT, Gemini, and Copilot mix live lookup with what the model already holds, and a memorised claim can outlast a fixed page. The daily record shows each engine separately, so you know which ones have dropped the claim and which still need a push, usually through a source that engine favours.
How will we know when each engine has dropped the old claim?
Because the prompts that surfaced it keep running every day, and each answer is kept in full. The accuracy log records the day the wording changed for each engine and each country, so you see that Perplexity dropped the old price in week two, Gemini in week four, and Copilot has not yet. Nobody promises a date, because the engines update on their own schedules and a memorised answer waits for a retrain. What you get instead is the record: what each engine said yesterday, what it says today, and the list of what shipped in between.
See what AI is already saying about your brand.
A free audit shows you exactly where you stand across ChatGPT, Gemini, Perplexity, Copilot, Claude, Grok, and AI Overviews, and what it would take to close the gap.