The Signal
← The blog
7 min read·By Bankim CC
Is Your Business Invisible in ChatGPT and Perplexity? Run This 10-Minute Check
Most founders have never asked an AI tool what their own business does. Here is the check to run before you spend another rupee on content, and what to do with what you find.
Ask most founders what their SEO looks like and they can point to a Search Console dashboard. Ask the same founders what ChatGPT says about their business, and almost none of them know, because the question has only existed for about two years and nobody thought to check.
That gap is the actual audit. Not a technical crawl. Not a keyword list. What an AI system says about you when a buyer asks it directly.
It is worth checking because the volume is real. Column Five's analysis of the shift from SEO to AEO cites Google AI Overviews now appearing on roughly a quarter of all queries, and visitors who arrive through an AI citation converting at several times the rate of a typical organic visitor. Fewer buyers are clicking through a page of blue links first. More of them are forming an opinion of you from whatever an AI tool says on their behalf.
The check, run properly
Open ChatGPT, Perplexity, and Google's AI Overview in three separate tabs. Ask each one the same two questions, exactly as a prospective buyer would phrase them:
- "What does [your business] do?"
- "How is [your business] different from [a specific, named competitor]?"
Write down what comes back, word for word, from all three. Do not paraphrase or interpret it kindly. The distance between that answer and what you would actually say about your own business, unprompted, is the finding.
For most founder-led businesses that gap is wide, and the reason is rarely mysterious once you see it laid out.
What the gap usually reveals
Three patterns show up repeatedly when this check is run for the first time.
- Generic where you should be specific. The AI answer describes your category correctly ("a marketing consultancy") but says nothing that distinguishes you from every other business in it. This almost always traces back to a homepage or About page that never states a precise, defensible claim about who you serve and why.
- Inconsistent across the tools. ChatGPT says one thing, Perplexity says something adjacent but different, and the AI Overview says something narrower still. Different systems are synthesising from different subsets of your published content, and if that content itself is inconsistent, page to page, each tool lands on a slightly different version of you.
- Out of date. The answer describes what you did a year ago, not what you do now, because the content it is pulling from has not been refreshed and there is nothing newer and clearer to override it.
None of these are technical problems in the crawlability sense. They are documentation problems: what you have actually published, and whether it agrees with itself.
What to fix, in order
- Write one precise version of what you do and who you serve, and use it everywhere. Homepage, service pages, About page, and your top blog posts should all state your positioning in a way that agrees, not a way that merely does not contradict. For how this documentation work fits into the wider marketing architecture, see The Hexagram.
- Answer your buyers' actual questions directly, one question per page. Not roundups, not trend pieces. A precise, complete answer to one real question a buyer is asking, structured so it can be extracted cleanly. This is the core argument in why AI cannot find you.
- Re-run the check on a schedule, not once. AI-generated answers are not stable; the same prompt can return a different result week to week. A single check is a snapshot, not a benchmark. Run the same two questions every few weeks and track whether the answer is getting more accurate or staying generic.
For the fuller comparison of what SEO, AEO, and GEO each actually do and where the terminology overlaps, see GEO vs SEO vs AEO: a practical comparison.
Why this matters more for a young, founder-led brand
A large, established competitor usually has years of inconsistent content spread across a bigger site and more contributors, which makes their version of this problem slow to untangle. A founder-led business starting now, with a small and coherent set of pages, can make its content consistent and specific faster than a bigger competitor can fix what it has already published. Traditional domain authority still takes time to build. Being the clearest, most consistent answer to a narrow question does not require waiting for that authority to arrive first.
Most founders have simply never asked. That is the whole reason the gap exists.
The Hexagram Diagnostic scores your Signal pillar, including whether your content is structured to be found, cited, and answered correctly by AI tools, alongside the other five pillars of your marketing architecture. Run it free, in 8 minutes, at adg-advisory.com.
Frequently asked.
How do I check if AI tools like ChatGPT know my business?
Open ChatGPT, Perplexity, and Google's AI Overview separately and ask each the same two questions: 'What does [your business] do?' and 'How is [your business] different from [a named competitor]?' Write down what comes back, word for word. The gap between that answer and what you would actually say about your own business is the real diagnostic, not a hunch about your SEO.
Why does an AI tool give a vague or wrong answer about my business?
Usually because your own published content is inconsistent. If your homepage, service pages, and blog describe what you do in three slightly different ways, an AI system synthesising across all of them reflects that inconsistency back as a vague or generic answer. It is rarely a technical crawling problem; it is more often a documentation and positioning problem.
What should I fix first if AI tools describe my business inaccurately?
Fix the narrative before adding more content. Write one precise, consistent description of who you serve and what you solve, then make sure your homepage, top service pages, and About page all state it the same way. Only after that is consistent does adding FAQ schema, structured answers, and an llms.txt file actually help, because there is now a single correct answer for those systems to extract.
Is this worth doing for a small, founder-led business, or only large companies?
It is arguably more useful for a small business. A founder-led company usually has little existing search authority to fall back on, so being the clearest, most consistent answer to a narrow question can get cited faster than climbing traditional rankings ever could. Large, established competitors typically have years of inconsistent content spread across more pages, more contributors, and more channels, which makes their version of this problem slower and harder to fix.
Find out where your marketing architecture is breaking down.