This piece explains why a business's own website is not enough to get recommended by ChatGPT, Gemini, or Claude, using a real small business owner's experiment as the walkthrough, for owners who searched their own business in an AI tool and did not like what they found.
A small business owner posted something worth reading in full: they searched ChatGPT for their own business back in February, out of curiosity, and got a competitor recommended instead. Nineteen comments and forty-two upvotes later, they had posted what they actually changed, and it worked well enough that other people in the thread started trying it too.
I want to use that thread instead of a technical explainer, because "LLM optimization" as a phrase gets claimed by two completely different audiences, and most of what is written about it is aimed at the wrong one for a business owner reading this.
One audience is machine learning engineers optimizing model performance itself: inference speed, fine-tuning, token efficiency. That is a real, technical discipline, and it has nothing to do with why your business does not get mentioned. The other audience, the one you are actually in if you searched your own business and got disappointed, needs a completely different answer to a completely different question: why does an AI model know about my competitor and not me.
The honest answer in most cases is not that your competitor did anything sophisticated. It is that they exist more clearly across the parts of the internet an AI model actually draws from. A directory listing here, a press mention there, consistent business information across five sources instead of three slightly different versions of the same facts.
That is close to what the small business owner in the thread found when they dug in. The fix was not a technical trick. It was going through the same unglamorous list this kind of work always comes down to, whether you call it GEO, AEO, or LLM optimization: making sure the business's name, description, and key facts were identical everywhere they appeared, adding a couple of citable, third-party mentions that did not exist before, and rewriting the parts of their own site that answered common customer questions so the answers were direct instead of buried in marketing copy.
None of that required understanding how language models work internally. It required treating AI visibility as a real, ongoing part of the business, the same way a Google Business Profile or a Yelp listing already is, instead of assuming that having a website is the same as being visible.
I do not sell LLM optimization, GEO, and AEO as three different services. They are names for one problem. I call the work AI visibility, in three parts: the AI Visibility Check to find out where you stand, the AI Visibility Fix to close the specific gaps, and AI Visibility Growth to keep it working as things change.
If you want to know specifically why an AI tool is or is not recommending your business right now, the AI Visibility Check runs that diagnosis instead of leaving you to search your own name and guess.