Why AI Is Getting Your Organization's Information Wrong
By Ted Fay · April 16, 2026
The short version: AI systems assemble your organization's identity from data scattered across your website, directories, and social profiles. When those sources conflict or the structured data is missing, the system fills the gap with something that sounds plausible. You can check where you stand in about ten minutes, and the fix usually starts with a layer of your website you've probably never looked at.
AI systems don't look up your organization the way a person does
Someone reached out to tell you that ChatGPT had your organization's information wrong. Perhaps it was the phone number, location, who your organization is related to. Maybe a donor, a board member, a prospective customer. You looked it up and either you confirmed the concern (not great), or saw different results (also not great, and welcome to AI).
AI systems assemble an answer from data points they've gathered across your website, social profiles, online directories, and press mentions. When those sources agree, the picture is reasonably accurate. When they conflict, or when the data is missing or contradicts itself, the system picks one signal, ignores the rest, or fills the gap with something that sounds plausible. AI doesn't give the same answer twice, either. Ask the same question on two different days and you may get two different answers, because the system is drawing on probabilities, not a single authoritative record. The best case is outdated information. The worst case is something the system constructed because it didn't have a clear enough picture to do anything else, which is what people usually mean when they say hallucination.
Your Organization schema is probably outdated, duplicated, or both
There is a layer of your website specifically designed to provide this data to search engines and AI systems: Organization schema, a block of structured data that tells crawlers and AI systems the basic facts about your organization. Your legal name, your website, your logo, what kind of entity you are, and where else on the web you can be verified. Most websites have some version of it. Most of those versions were generated automatically by a plugin, never reviewed, and haven't been touched since the site launched. A WordPress site running two SEO plugins (more common than it should be) may be outputting two different Organization schema blocks with conflicting information, and the AI reading your site won't resolve that conflict. It picks one, or worse, it doesn't pick either.
Check where you stand in ten minutes
The good news is that you can see where you stand in about ten minutes, without any technical tools.
Step 1. Using a desktop computer, search for your organization's name in Google and look at what comes back. If a knowledge panel appears on the right side of the results, check whether the name, address, phone number, website, and logo are correct. That panel is Google's current assembled picture of you, drawn from your site and whatever else it's found. If there isn't a knowledge panel, or if the data is incomplete, grab a screenshot.
Step 2. Take the same question a donor or customer might ask about you (e.g., "tell me about [organization name]") and put it directly into ChatGPT, Claude, or Perplexity. Is the answer accurate? Is it current? Does it describe the organization you are today, or some earlier version of it? Note the links showing where the data is pulled from. The more pulled from your sources, the better. If none, that is an opportunity.
Step 3. Open a new chat in ChatGPT, Claude, or Perplexity and paste in your website URL, followed by this: "Based on the structured data and site architecture, what can you tell me about this organization, including contact information, leadership, and core services?"
Step 4. Ask as a follow up, after the first reply: "What official social media channels or external profiles are connected to this organization?" If there are any gaps, there's some opportunity.
What you find from this is your baseline.
What comes next: fixing the data your site puts out
The next article in this series covers what to do with it, including how to look at the structured data your site is actually putting out and what a complete, accurate Organization schema block needs to contain.
This is one piece of a larger foundation. Getting your Organization schema right doesn't guarantee that AI tools will describe you correctly next week or next month. AI systems update on their own schedules, draw from sources you don't control, and don't publish their methods. What you're doing when you get this right is giving the systems that are already forming an opinion about you something accurate to work with.
Organization schema and Person schema reinforce each other
Earlier in this series, we covered Person schema for executive and staff profile pages, the layer that tells AI systems who your people are and establishes them as credible entities. Organization schema is the layer those people belong to. Get both in place and they reinforce each other, and the picture the system assembles starts to look like something you actually wrote.
The bar for getting this right is still low. That won't be true indefinitely.
Related in this series: Is Your CEO's Profile Page an AI Search Blind Spot?
Ted Fay is a marketing consultant and founder of 2 Find Marketing. He writes about AI search, structured data, and practical implementation for marketing leaders. Away from work, he rides with Chicago Rando.