GEO Guides
Why Is ChatGPT Saying Wrong Things About My Company?
VizibAI Team
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5 min de lecture
TL;DR
ChatGPT gets companies wrong for three reasons: outdated training data, conflicting sources online and weak entity signals.
Models are trained to guess rather than say "I don't know", so gaps in your data get filled with plausible fiction. OpenAI (Kalai et al., 2025), Why Language Models Hallucinate
You cannot edit ChatGPT directly. You fix the sources it reads.
Citing sources raised visibility in generative answers by up to 40% in the Princeton GEO study (KDD 2024). arxiv
Corrections take time: from about 2 to 4 weeks on Perplexity to 2 to 6 months on ChatGPT, according to Loudmink's estimates.
Short answer: ChatGPT is wrong about your company because it learned from an old snapshot of the web, blends sources that contradict each other, and guesses when it doesn't know enough about you. To fix it, audit what it says, align every source, publish one clear source of truth and earn fresh third-party mentions.
The 3 reasons ChatGPT gets your company wrong
1. Stale training data
Every model has a knowledge cutoff. A rebrand, new pricing or a new product launched after that date can stay invisible until the next model version.
2. Conflicting sources
When your website, LinkedIn, G2, directories and old articles disagree, the model averages them. The result can match none of them.
3. Weak entity signals
If your positioning is vague or your facts sit in PDFs, images or slide decks, the model is not sure who you are. It fills the gaps, sometimes by mixing you up with a competitor.
Error type | Typical cause | Example |
Factual | Outdated data | Old pricing, former CEO |
Omission | Weak entity signals | Missing product line |
Positioning | Third-party narratives | Described as a competitor's "cheaper alternative" |
Confusion | Inconsistent profiles | Merged with a company that has a similar name |
How to fix it in 5 steps
Step 1: Audit the answers
Ask ChatGPT, Gemini, Perplexity and Claude 10 to 15 questions your buyers would ask: pricing, features, use cases, comparisons. For each error, log the engine, the wrong claim and the likely source. A GEO platform runs these prompts across engines over time, so you track changes instead of screenshots.
Step 2: Align your own sources
Make your name, description, pricing, address and categories identical across your website, LinkedIn, Crunchbase, G2 and directories. Update or remove outdated listings and legacy pages.
Step 3: Publish one source of truth
Clear About, Product, Pricing and FAQ pages
The correct fact in the first 40 to 60 words of the page
Organization, Product and FAQ schema
Facts in HTML text, never only in images or PDFs
A visible "last updated" date
Step 4: Earn fresh third-party mentions
Models trust sources that other sources trust. Get accurate, current information into trade media, review sites, comparison articles and podcasts. Loudmink recommends 5 to 10 fresh sources within a 30-day window.
Step 5: Monitor monthly
Re-run your audit, check which corrections have taken hold and contact the owners of sources that are still outdated. Thumbs-down feedback in ChatGPT helps, but it does not replace fixing the sources.
How long until ChatGPT gets it right?
Engine | Estimated correction time |
Perplexity | 2 to 4 weeks |
Gemini / AI Overviews | 4 to 8 weeks |
ChatGPT / Claude | 2 to 6 months |
Source: Loudmink estimates, April 2026. Engines that search the web live update faster than answers that come from training data.
Fixing errors is one part of a wider GEO strategy. To measure progress, track accuracy rate and sentiment alongside the other GEO metrics.
3 mistakes to avoid
Fixing only the homepage. Models pull from product pages, FAQs and third-party sites.
Leaving legacy pages live. Old pricing pages keep feeding old answers.
Checking one engine once. Errors vary by engine and come back over time.
See what AI says about your company
Find out which engines get you wrong, which sources feed the errors and what to fix first.
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