Why most AI search advice is just a guess
There is a massive amount of noise in the market right now regarding AI search optimisation. Everyone wants to know how to get their brand mentioned by ChatGPT, Gemini, and Claude. Because the demand is so high, many marketing professionals feel pressured to provide certain answers even when the data does not exist yet.
This has led to a lot of confident speculation. You have likely heard that you need to add specific structured data or create markdown versions of your pages to rank. It sounds logical. It sounds like something an AI would prefer. However, when you actually run the experiments, these tactics often fail to move the needle.
We are seeing a repeat of the early days of SEO where people chased hacks instead of understanding the system. The current trend is to assume that because these models are becoming more intelligent, they no longer rely on keywords. While it is true that models are getting better at finding obscure information, they still prioritise efficiency.
Right now, a traditional keyword search is the most efficient way for an AI to browse the web and find an answer for a user. Even though the models are capable of deeper understanding, the resource cost means they still lean heavily on traditional search mechanics.
The most dangerous thing you can do for your growth is to pivot your entire strategy based on a theory that sounds true but has not been proven. If you are an entrepreneur looking for an edge in AI search, the best approach remains the same as it ever was.
Focus on being the most helpful and clear answer for a specific problem. Stop trying to outsmart the algorithm with formatting tricks and start looking at what the data actually says about your visibility. If you are going to change your strategy, make sure it is because of a result you tracked, not a post you read.