When someone asks ChatGPT or Perplexity about your business, AI does not open your website and read the latest version. It assembles an answer from whatever it already has, and what it has may be months or years out of date, incomplete, or simply wrong.
Understanding how that works is the first step to changing it.
AI does not look you up
Search engines index and retrieve pages on demand. AI works differently. Most AI platforms are trained on large collections of web content gathered up to a certain point in time. When you ask a question, the AI generates an answer from that training. It does not retrieve your current website in real time.
The result is that the AI's picture of your business may be built from a version of your site that is long gone, a news article from three years ago, or a review someone left when you were still offering a service you have since dropped.
Where AI gets its information
The sources AI draws from typically include:
- Your own website, or the version of it that was scraped when the model was trained.
- Press coverage and articles: old announcements, reviews, and mentions from across the web.
- Community content: Reddit threads, forums, and discussion platforms where your business may have been mentioned.
- Review platforms: public reviews that describe your products, prices, or service.
- Directories and third-party references: Wikipedia, industry listings, and other structured sources AI treats as authoritative.
None of these are under your control in the way your own website is. And AI has no way to weight them for accuracy.
Trained data versus live retrieval
Not all AI platforms work the same way. There are two main approaches:
Training-based knowledge. The platform scraped content at a point in the past and stored it as part of the model. Answers draw from that stored knowledge. This data can be months or even years old. ChatGPT works largely this way.
Real-time retrieval. Some platforms, Perplexity is the clearest example, visit web pages in real time during a query, using what they find to shape the answer. Changes to your site can be reflected more quickly this way.
Most businesses are dealing with both, across multiple platforms, with no clear picture of what each one has read.
AI does not fact-check
The confidence in an AI answer does not reflect the accuracy of the information behind it. AI generates a plausible-sounding response from whatever it has read. When the material it draws from is stale, thin, or contradictory, the answer reflects that, stated just as confidently as a correct one.
This is why AI hallucination is a real commercial risk for businesses, not just a quirk of the technology.
What you can do about it
What you give AI to read shapes the answer it gives. What is GEO explains the practice of improving that source material.
SignalTo monitors what AI is currently saying about your business across ChatGPT, Claude, Perplexity and Google AI, and surfaces the gaps between that and the truth. What AI Visibility Management is explains the broader approach.
Common questions
How does AI decide what to say about my business?
AI assembles its answer from multiple sources: your website, old press coverage, review platforms, forums like Reddit, and third-party references such as directories and Wikipedia. It draws from whatever it has read, not from a real-time lookup of your latest information.
Is the information AI has about my business up to date?
It depends on the platform and how it accesses information. Some AI platforms, like Perplexity, retrieve content in real time during a query and can reflect recent changes quickly. Others, like ChatGPT, are trained on data with a knowledge cutoff and may have information that is months or years old.
Can I control what AI says about my business?
You can influence it significantly. By giving AI clearer, more accurate information to read, through well-structured pages, schema markup, AI Dedicated Pages, and accurate off-site information, you improve the quality of what AI has to draw from. SignalTo manages this process.
Does AI check its facts before answering?
No. AI has no obligation to verify what it says and no mechanism to check. It generates a confident-sounding answer from the material it has read. When that material is incomplete or wrong, the answer is too.