# When AI gets your brand wrong: find it, fix it, prevent it

> Most wrong answers trace back to a source: an outdated page, a third-party listing, a confused entity or a model's training cutoff. Fix the source first, then use platform feedback channels, which are limited. Prevent repeats with one maintained facts page and regular checks.

- URL: https://geo.casa/best-practices/wrong-ai-answers/
- Guide · Officially documented
- Reviewed: 2026-10-28

This guide is for brand, PR, legal and support teams who have found an AI assistant saying something wrong about their company. It covers how to find errors systematically and trace each one to its cause. It then covers which corrections work and how to stop the same error returning. Expect a day to set up checks, and a few weeks for most fixes to show. Fixes that depend on a model's next training run take longer.

## The short version

1. Check what assistants say about you on a schedule, and log each error with its type.
2. Trace each error to its source: a cited page, a confused entity, or the model's training data.
3. Fix your own pages first, with dates and a visible correction note.
4. Ask third-party sources to correct the record, following their rules.
5. Use the platforms' feedback channels, knowing what each one can and can't do.
6. Prevent repeats with one maintained facts page and a change routine.
7. If the error is deliberate, document it and escalate. Don't answer with fake content.

*Fix the source first; platform feedback comes after.*

## Find the errors

Assistants say themselves that they make mistakes, and sound sure while doing it.

> **Officially documented:**
> OpenAI says ChatGPT can produce incorrect or misleading outputs and may sound confident even when wrong. Examples include incorrect facts or dates and fabricated quotes or citations. The model may also lack information beyond its training cutoff, or be unable to read a site because of technical issues, paywalls or robots.txt.
>
> Sources: [OpenAI Help Center: Does ChatGPT tell the truth?](https://help.openai.com/en/articles/8313428-does-chatgpt-tell-the-truth)

Build a short brand-fact prompt set: who you are, what you sell, prices, locations, leadership, policies, safety and "is [brand] legit?". Run it monthly in the assistants your customers use ([Measuring AI visibility by sampling prompts](https://geo.casa/measurement/ai-visibility-measurement/)). Log each error by type, because the type points to the fix.

> **Observed in practice:**
> A 2026 report by the PR agency Wanzhuo Ruiqiao sorts AI errors about brands into four types: invented facts or data, misattributed sources, internal contradictions, and outdated information presented as current. The report describes these from client work and gives no counts.
>
> Sources: 万卓睿桥: GEO发展及品牌传播趋势报告（2026） (unpublished report, not publicly available; readers can't check it)

> **Hypothesis:**
> Meltwater's 2026 report gives an example of the outdated type: a brand raises its prices, but AI keeps describing its old price position. The report presents this as a risk, not a measured case.
>
> Sources: Meltwater 融文: 2026中国企业出海GEO洞察报告——AI时代的品牌信任重构 (unpublished report, not publicly available; readers can't check it)

## Trace each error to its source

Look at what the answer cites. If it cites a page, that page is usually the cause. If it cites nothing, the error probably comes from training data, from mixing you up with a similar name, or from a gap the model filled in.

> **Officially documented:**
> Google says its AI features use retrieval-augmented generation: they retrieve relevant, up-to-date pages from the Search index and generate a response from them, with links to the supporting pages.
>
> Sources: [Google Search Central: Optimizing your website for generative AI features on Google Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)

> **Observed in practice:**
> In a 2026 study of Pilates studios in Hefei, DeepSeek cited complaint and consumer-rights platforms 75 times, 23.9% of all its citations. It also often cited business registry lookups.
>
> Sources: [腾讯新闻（报道合肥图灵象普拉提行业GEO白皮书）: 行业首份GEO白皮书：AI正在重写'附近哪家好'的答案](https://news.qq.com/rain/a/20260909A0EGBH00)

So check the pages you don't manage too: complaint sites, registries, old directory listings, outdated press articles and encyclopedia entries.

| What you see | Likely cause | Where to fix |
|---|---|---|
| Wrong fact, cites your old page | Outdated own content | Your site |
| Wrong fact, cites a third party | Third-party error | That source |
| Mixed up with another company | Entity confusion | Facts page, structured data, knowledge panel |
| Old fact, no citation | Training cutoff | Your site and sources; wait for updates |
| Invented detail, no citation | Gap filled by the model | Publish the missing fact clearly |

> Most wrong answers have a return address. Find the page the error came from before you complain to the assistant.

## Fix your own pages first

Your own site is the one source you fully control, and search-based answers re-read it. For each error:

- Correct the fact on the page, add an "updated" date and, for material errors, a short correction note.
- Fix the same fact everywhere: FAQs, structured data, PDFs, image alt text, old blog posts.
- Remove or redirect retired product and price pages so they stop being retrieved.
- Make sure the corrected pages are indexed and crawlable ([AI search access audit](https://geo.casa/playbooks/ai-search-access-audit/)).

## Correct third-party sources

If the answer cites someone else, ask them to fix it. Each type of source has its own route.

> **Officially documented:**
> Google says knowledge panel descriptions come from various data sources and can't be edited. To update one, contact the source and ask for a correction. "Changing the source of the information usually causes the information in the knowledge panel to change as well."
>
> Sources: [Google Knowledge Panel Help: Submit feedback on content about you](https://support.google.com/knowledgepanel/answer/7534842?hl=en)

- **Media articles:** ask the editor for a correction, with evidence.
- **Directories, marketplaces, review platforms:** update your listing, or use their business-owner correction process.
- **Complaint platforms:** respond and resolve the complaint where possible. An answered complaint reads differently from an ignored one.
- **Encyclopedias:** follow their sourcing and conflict rules.

> **Officially documented:**
> Baidu Baike requires public media reports or business registration records for key company facts such as founding date, funding and honours. Wikipedia asks editors with a conflict of interest to propose changes on the article's talk page rather than edit directly. In articles about living people, very obvious errors may be fixed quickly, including by the subject.
>
> Sources: [百度百科: 百度百科：参考资料](https://baike.baidu.com/item/%E7%99%BE%E5%BA%A6%E7%99%BE%E7%A7%91%EF%BC%9A%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99); [Wikipedia: Wikipedia:Conflict of interest](https://en.wikipedia.org/wiki/Wikipedia:Conflict_of_interest)

## Use the platforms' feedback channels

Feedback channels exist, but they are for reporting, not editing. Use them after fixing the source, and include links to the corrected pages.

> **Officially documented:**
> For an AI Overview that is "unhelpful, inaccurate, biased, or otherwise problematic", Google asks users to click the thumbs-down, choose Report a problem and add details. The feedback includes the most recent search query and its results.
>
> Sources: [Google Search Help: Find information in faster & easier ways with AI Overviews in Google Search](https://support.google.com/websearch/answer/14901683?hl=en)

> **Officially documented:**
> An official representative can claim a knowledge panel by signing in to one of the official sites or profiles listed, such as YouTube or Search Console. Not all panels are claimable. Anyone can use Feedback on a panel to suggest a change, with links to pages that verify it.
>
> Sources: [Google Knowledge Panel Help: Get verified on Google](https://support.google.com/knowledgepanel/answer/7534902?hl=en)

> **Officially documented:**
> Google says it reviews feedback from verified users within a few days, and sends a confirmation email with a resolution update.
>
> Sources: [Google Knowledge Panel Help: Submit feedback on content about you](https://support.google.com/knowledgepanel/answer/7534842?hl=en)

> **Officially documented:**
> Google may remove Knowledge Graph information that is demonstrably false or outdated, as shown by legal documents, expert consensus or other reputable primary sources. "We may decline to act on facts that are reasonably disputed or lack demonstrative evidence."
>
> Sources: [Google Knowledge Panel Help: How Google's Knowledge Graph works](https://support.google.com/knowledgepanel/answer/9787176?hl=en)

> **Officially documented:**
> OpenAI's privacy policy says individuals who find factually inaccurate information about themselves in ChatGPT output can request a correction or removal through its privacy portal. OpenAI will consider the request based on applicable law and the technical capabilities of its models.
>
> Sources: [OpenAI: Privacy policy](https://openai.com/policies/row-privacy-policy/)

That route is for personal data about individuals, such as a founder. We found no documented OpenAI channel for correcting facts about a company, and none for Perplexity or Microsoft Copilot beyond in-product feedback. For Chinese assistants, we also found no public documentation of a brand-correction process.

> **Observed in practice:**
> The same PR agency report describes client cases on DeepSeek and other Chinese assistants that combined monitoring, publishing authoritative content and in-platform feedback to correct errors. It reports results such as more citations but discloses no method, and doesn't separate the effect of feedback from the other steps.
>
> Sources: 万卓睿桥: GEO发展及品牌传播趋势报告（2026） (unpublished report, not publicly available; readers can't check it)

> Feedback buttons report a problem. They don't edit the answer. The fix that lasts is a corrected source.

## Prevent repeats

> **Hypothesis:**
> NBD's 2026 GEO Red Book recommends a correction routine for content that has caused wrong AI citations. Correct the source page, with an update date and a correction note. Fix structured data, FAQs, image alt text and PDFs. Request re-crawling or send feedback to search engines and platforms. Notify media, partners and customers who used the content. It also suggests tracking a "fact error rate": the share of sampled answers containing a factual error about the company. These are recommendations, not tested results.
>
> Sources: 每经AI智库: GEO红皮书（2026）：生成式引擎优化的边界、风险与治理 (unpublished report, not publicly available; readers can't check it)

Put this into practice:

- **One facts page** that states your core facts plainly and is the single place you update first ([New brands: why AI doesn't mention you yet, and what to do first](https://geo.casa/best-practices/new-brand/)).
- **Organization structured data** that matches it ([Organization structured data](https://geo.casa/content-structured-data/organization-structured-data/)).
- **A change routine.** When prices, products, leadership or addresses change, update the facts page and listings the same week.
- **Monthly checks** with the brand-fact prompt set, and a log of errors found and fixed.

## What not to do

- **Flood the web with rebuttal content.** Mass-produced articles are what regulators call poisoning, even when your cause is just ([GEO regulation in China](https://geo.casa/foundations/geo-regulation-china/)).
- **Edit encyclopedias without disclosure**, or ask an agency to.
- **Threaten the assistant's operator before fixing the source.** Without a corrected source, there is little they can point to.
- **Assume one fix holds.** Re-check after each model or product update.

If the errors look deliberate, treat them as an attack, not a hallucination.

> **Observed in practice:**
> The China AI Industry Alliance's 2026 report describes GEO abuse that targets competitors. It includes mass-producing false negative news, inventing safety problems, and altering third-party encyclopedia and Q&A content to plant misleading facts.
>
> Sources: 中国人工智能产业发展联盟（AIIA）: 2026生成式引擎优化（GEO）可信生态构建研究报告 (unpublished report, not publicly available; readers can't check it)

Collect evidence (answers, cited URLs, dates), report the source content to the hosting platform, and involve legal counsel.

## How you'll know it's working

- **Error log trend.** Fewer open errors month over month, by type.
- **Fact error rate.** The share of brand-fact answers that contain an error, per assistant ([Measuring AI visibility by sampling prompts](https://geo.casa/measurement/ai-visibility-measurement/)).
- **Citations.** Are answers now citing your corrected pages instead of the old sources?
- **Time to fix.** How long each error type takes from detection to a correct answer. Use it to set expectations internally.

## Evidence at a glance

| Recommendation | Evidence |
|---|---|
| Assistants make confident factual errors | Official (OpenAI) |
| Search-based answers re-read current pages, so fix the source | Official (Google) |
| Knowledge panel text changes when the source changes | Official (Google) |
| AI Overview and knowledge panel feedback channels | Official (Google) |
| Personal-data correction requests to OpenAI | Official (individuals only) |
| No documented company-correction channel for most assistants | Our search of public documentation |
| Correction routine and fact error rate | Hypothesis (industry recommendation) |
| Unmanaged third-party pages get cited | Observed |
| Deliberate attacks on brands exist | Observed (industry report) |

## Sources

- [OpenAI Help Center: Does ChatGPT tell the truth?](https://help.openai.com/en/articles/8313428-does-chatgpt-tell-the-truth)
- 万卓睿桥: GEO发展及品牌传播趋势报告（2026） (unpublished report, not publicly available; readers can't check it)
- Meltwater 融文: 2026中国企业出海GEO洞察报告——AI时代的品牌信任重构 (unpublished report, not publicly available; readers can't check it)
- [腾讯新闻（报道合肥图灵象普拉提行业GEO白皮书）: 行业首份GEO白皮书：AI正在重写'附近哪家好'的答案](https://news.qq.com/rain/a/20260909A0EGBH00)
- [Google Search Central: Optimizing your website for generative AI features on Google Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)
- [Google Knowledge Panel Help: Submit feedback on content about you](https://support.google.com/knowledgepanel/answer/7534842?hl=en)
- [百度百科: 百度百科：参考资料](https://baike.baidu.com/item/%E7%99%BE%E5%BA%A6%E7%99%BE%E7%A7%91%EF%BC%9A%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99)
- [Wikipedia: Wikipedia:Conflict of interest](https://en.wikipedia.org/wiki/Wikipedia:Conflict_of_interest)
- [Google Search Help: Find information in faster & easier ways with AI Overviews in Google Search](https://support.google.com/websearch/answer/14901683?hl=en)
- [Google Knowledge Panel Help: Get verified on Google](https://support.google.com/knowledgepanel/answer/7534902?hl=en)
- [Google Knowledge Panel Help: How Google's Knowledge Graph works](https://support.google.com/knowledgepanel/answer/9787176?hl=en)
- [OpenAI: Privacy policy](https://openai.com/policies/row-privacy-policy/)
- 每经AI智库: GEO红皮书（2026）：生成式引擎优化的边界、风险与治理 (unpublished report, not publicly available; readers can't check it)
- 中国人工智能产业发展联盟（AIIA）: 2026生成式引擎优化（GEO）可信生态构建研究报告 (unpublished report, not publicly available; readers can't check it)