AI search engines say wrong things about your company because they retrieve from outdated, inconsistent, or conflicting sources and synthesize answers from whatever they find. You cannot edit AI responses directly. You fix the underlying sources each engine pulls from: your website, business directories, review platforms, and third-party content that mentions your brand. Correction timelines vary by engine, from days for Perplexity to months for ChatGPT and Claude. This guide covers why each engine gets things wrong and how to fix it, engine by engine.
The problem is widespread. With web search enabled, current AI models produce factual errors on roughly 10% of queries. Without web search, that rate exceeds 40%. Your company is not being singled out. Every AI search engine is working with a fragmented, sometimes contradictory web and doing its best to synthesize a coherent answer from imperfect sources.
Why AI Search Engines Get Your Information Wrong
AI search engines construct answers from two types of sources: training data (a frozen snapshot of the internet from a specific cutoff date) and real-time web retrieval (live searches when the engine needs current information). Both introduce errors in different ways, and the combination makes corrections harder than most businesses expect.
Training data errors
Every AI model is trained on a dataset with a cutoff date. Information that was accurate when the model was trained but has since changed, your old pricing, a former product name, a previous office location, persists in the model's "memory" until a new training run replaces it. OpenAI, Google, and Anthropic each update training data on their own schedules. You cannot request an update. The only remedy is to make the correct information so prominent across the web that when the model does retrieve live sources, the accurate data overwhelms the stale training data.
Web retrieval errors
When AI search engines search the live web, they often find conflicting information across multiple sources. If your Google Business Profile shows one address, your LinkedIn shows another, and a two-year-old Yelp listing shows a third, the engine has to pick one or synthesize across all three. The result can be wrong even though each individual source was accurate at some point.
Loudmink's research found that 85% of AI citations come from third-party sites, not brand websites. What others say about your company carries more weight than what you say about yourself. If those third-party sources contain outdated information, AI search engines will repeat those inaccuracies with confidence.
Hallucination
Sometimes AI search engines generate information that exists nowhere on the internet. An app developer reported ChatGPT describing their product as "some sort of keylogger," a claim with no basis in any online source. These errors are the hardest to fix because there is no specific source page to correct. The best defense is building enough accurate, prominent sources that the AI has abundant correct information to draw from, reducing the likelihood it fills gaps with fabrication.
What to do: Before fixing anything, categorize each error. Is it from stale training data (the information used to be true), from conflicting web sources (different sites say different things), or from hallucination (the information never existed anywhere)? Each category requires a different fix approach.
Which AI Search Engines Are Worst for Accuracy
Not all AI search engines handle your brand information equally. Each engine retrieves from different sources, updates at different speeds, and handles conflicting information differently.
ChatGPT
ChatGPT retrieves via both Bing and Google through query fan-out. It blends training data with live web results. When web search is disabled, ChatGPT relies entirely on training data, which can be months old. With web search enabled, accuracy improves but ChatGPT still synthesizes across multiple sources and can merge conflicting information into a single incorrect answer. Corrections typically appear in 2 to 6 months because the training data component updates slowly.
Gemini
Gemini grounds its responses in Google Search results. It generally cites fresher sources than ChatGPT because it has direct access to Google's index, which updates continuously. However, Gemini can still surface outdated third-party content if that is what ranks on Google for the relevant query. Corrections typically appear in 4 to 8 weeks, reflecting Google's indexing and ranking update cycle.
Perplexity
Perplexity is the most web-retrieval-dependent AI search engine. It shows its sources explicitly, making it easier to trace where errors come from. Perplexity favors fresh content and editorial sources, which means corrections propagate faster here than on any other engine. Updates typically appear in 2 to 4 weeks. If you fix the source Perplexity is citing, the correction can appear within days.
Claude
Claude uses Brave Search for retrieval, not Google or Bing. This means Claude can surface different errors than other engines because Brave has its own independent index with different ranking signals. Claude also penalizes promotional content aggressively, which means it may skip your own website's correction in favor of a third-party source that still has the old information. Corrections take 2 to 6 months because they depend on both Brave's indexing and Anthropic's training data updates.
Grok
Grok relies heavily on Reddit and X (Twitter) posts as sources. If someone posted incorrect information about your company in a Reddit thread or a tweet, Grok may surface it as fact. Grok accounts for the majority of all Reddit citations across AI search engines. Corrections depend on either the original Reddit post being edited (unlikely) or newer, more prominent sources overriding it.
What to do: Check what each engine says about your company by asking the same 5 questions across ChatGPT, Perplexity, Gemini, Claude, and Grok. Different engines will have different errors because they pull from different sources. Prioritize fixing the engines your customers use most.
How to Fix Inaccuracies: Engine by Engine
The fix process follows the same principle for every engine: update the underlying sources so that when the AI retrieves information, the correct data is what it finds. But the specific sources differ by engine, and the order of priority matters.
Fix your website first (all engines)
Your website is the one source you fully control. Make sure every page that AI search engines might retrieve contains current, accurate information in the first 2 to 3 sentences. AI search engines extract from the top of content. If your homepage opens with a tagline and your pricing is buried on a subpage, the engine may not find it at all.
Update your homepage, about page, pricing page, and product pages with current information. Add FAQ schema markup with questions that directly match the queries where AI got your information wrong. If an AI search engine incorrectly states your pricing, add a FAQ entry that says "How much does [product] cost?" with the correct answer.
Fix business directories (ChatGPT, Gemini, Grok)
Search your company name on Google and check every result on the first two pages. Any directory listing with outdated information is a source AI search engines may pull from. Update your profiles on Google Business Profile, Yelp, LinkedIn, Crunchbase, and any industry-specific directories relevant to your vertical (G2, Capterra, Healthgrades, Avvo, HomeAdvisor).
Consistency matters. If three directories list your old phone number and your website lists the new one, AI search engines may go with the majority. Make every listing identical: same name, same address, same phone number, same description of services.
Fix Brave Search visibility (Claude)
Claude retrieves from Brave Search, which has its own independent index. Check your Brave Search rankings by going to search.brave.com and searching for your company name and key queries. If the top results on Brave include pages with outdated information, you need those pages updated or need to build newer, more authoritative content that outranks them in Brave's index. See how to fix what ChatGPT says about your business for a more detailed walkthrough that applies across all engines.
Fix Reddit and social mentions (Grok, ChatGPT)
If Grok or ChatGPT is citing Reddit threads or social media posts with wrong information, your options are limited. You cannot edit other people's Reddit posts. What you can do is build fresher, more authoritative sources that override the old ones. Publish a correction on your blog with clear, extractable statements. Get mentioned accurately in newer Reddit threads by contributing to relevant discussions. Fresh content published within the last 30 days gets prioritized in retrieval over older posts.
What to do: Create a correction checklist with columns for the AI search engine, the incorrect claim, the likely source, and the fix action. Work through it systematically, starting with the sources you control (your website, your directory profiles) before moving to the sources you can only influence (third-party content, Reddit, editorial coverage).
Timeline for Corrections
Corrections do not appear instantly. Each AI search engine updates its knowledge at a different pace, and the type of error affects how long the fix takes.
| AI Search Engine | Typical Correction Timeline | Why |
|---|---|---|
| Perplexity | 2 to 4 weeks | Heavily web-retrieval dependent, cites fresh sources |
| Gemini | 4 to 8 weeks | Grounded in Google Search, follows indexing cycles |
| ChatGPT | 2 to 6 months | Blends training data with web retrieval |
| Claude | 2 to 6 months | Uses Brave Search, training data updates infrequently |
| Grok | Variable | Depends on Reddit/X source freshness |
Web retrieval errors (where the engine is citing a live webpage with wrong information) fix faster because you can update the source page. Training data errors take longer because they persist until the model provider runs a new training cycle.
What to do: After making corrections, recheck each AI search engine every 2 weeks. Document when corrections appear. If an inaccuracy persists beyond the expected timeline, the engine may be relying on training data rather than web retrieval, and you will need to wait for a model update or build enough fresh web sources to override the stale data.
Preventing Future Inaccuracies
Fixing current errors is only half the battle. AI search engines continuously retrieve and synthesize information, which means new inaccuracies can appear at any time as sources change, get outdated, or conflict with each other.
The brands that maintain accurate AI representation treat it as an ongoing operation. They keep directory listings updated, publish fresh content monthly, monitor what AI search engines say about them regularly, and correct deviations quickly before they propagate.
AI search engines heavily favor content published or updated within the last 30 days. Monthly updates to your key pages ensure that the freshest version of your information is what AI search engines find when they retrieve. Letting pages go stale for 6 months means AI search engines will rely on whatever third-party content is fresher, even if it is less accurate.
Loudmink tracks what AI search engines say about your brand across ChatGPT, Gemini, Perplexity, Claude, and Grok. Start with a free scan or see pricing.
What to do: Set a monthly calendar reminder to query your brand name across at least 2 AI search engines and verify the information is accurate. Update your website, FAQ page, and directory profiles quarterly at minimum. If you can influence what AI says about your brand, the most effective approach is making the correct information the most prominent and most recent information available.
Frequently Asked Questions
Can I contact AI companies to correct wrong information?
No. OpenAI, Google, Anthropic, xAI, and Perplexity do not accept individual correction requests for their AI search results. The only way to fix what AI says about your company is to update the underlying web sources that each engine retrieves from. Fix your website, directory listings, and third-party mentions, and the corrections will propagate as each engine refreshes its data.
Why does AI confidently state things about my company that are completely made up?
AI search engines sometimes hallucinate, generating information that exists nowhere on the internet. This happens when the model has sparse information about your brand and fills gaps with plausible-sounding fabrications. The best prevention is building enough accurate, prominent web sources that the AI always has correct information to draw from instead of generating its own.
How do I know which source is causing the wrong AI answer?
Perplexity shows its sources explicitly, making it the easiest engine to trace errors to specific pages. For other engines, search Google and Bing for the incorrect claim. The pages that rank highest for queries related to the claim are likely the sources the AI is retrieving from. Update those pages and the AI's answer should change within the correction timeline for that engine.
Does updating my website immediately fix what AI says?
Not immediately. After you update your website, search engines need to re-crawl and re-index the page. Then the AI search engine needs to retrieve the updated version during its next query. For Perplexity, this can happen within days. For ChatGPT and Claude, it can take weeks to months, especially if the error is in training data rather than web retrieval.
Should I worry about AI inaccuracies if I am a small business?
Yes. As more consumers use AI search engines for buying decisions, inaccurate AI responses about your business can cost you customers. Incorrect pricing, wrong service descriptions, or outdated location information in AI responses sends potential buyers elsewhere. The fix process is the same regardless of business size: update your web sources and monitor AI responses regularly. For a broader look at how AI search engines make recommendations, see how AI search engines decide what to recommend.