One of the most common questions we hear from business owners is straightforward but surprisingly hard to answer: "Does ChatGPT know about my brand?" It's a reasonable thing to wonder. Millions of people now use ChatGPT as their first stop for product research, service recommendations, and buying decisions. If the model doesn't mention you when someone asks about your category, you're missing out on a discovery channel that's growing faster than any other.
The manual approach is simple but limited. Open ChatGPT and start asking the questions your potential customers would ask. If you run a coffee roaster in Melbourne, try "What are the best coffee roasters in Melbourne?" and "Where can I buy specialty coffee beans in Melbourne?" If you're a B2B software company, try "What's the best [your category] tool for [your target customer]?" Run through ten or fifteen variations and note whether your brand appears, how prominently it's featured, and what the model says about you. This gives you a basic snapshot, but it comes with significant caveats.
The limitations of manual checking are substantial. ChatGPT's responses vary based on conversation context, model version, and even time of day. A query that mentions your brand today might not tomorrow. You also can't practically test the hundreds of question variations that real users might ask — you're sampling a tiny fraction of the possibility space. And ChatGPT is just one AI engine; your brand visibility on Perplexity, Google AI Overviews, Claude, and Microsoft Copilot might be completely different. Manual spot-checking gives you anecdotes, not data.
There's also the question of what to do with what you find. Suppose ChatGPT doesn't mention your brand for your most important queries. Why not? Is it a content problem — the model doesn't have enough information about you? A credibility problem — it doesn't trust you enough to recommend? A competitor problem — others have stronger signals? Without systematic analysis across many queries, you're guessing at the root cause. And if you make changes to improve your AI visibility, you need a way to measure whether those changes actually worked over time.
This is where automated AEO monitoring becomes essential. Rather than manually querying ChatGPT once and hoping for the best, a proper AEO tool runs your critical queries across multiple AI engines on an ongoing basis, tracks your brand mentions over time, and provides actionable analysis of why you're being cited or overlooked. Casa's AEO tool does exactly this — it queries Perplexity and AI search engines with the questions that matter to your business, scores your visibility, identifies gaps, and gives you specific recommendations for improvement. It turns the vague worry of "I don't know if AI knows about us" into a clear, trackable metric with a concrete improvement path. You can run your first AEO analysis in under a minute at casa.studio/seo/aeo.
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