The marketing game is already moving to game LLMs. Somehow you have to get what you want to have into the training data or the context window.
Currently it is probably just mostly quantity that does the trick w.r.t. training data. So e.g. spam the Internet with "product comparisons" featuring your product as the winner.
Shifting the balance on training data seems like the wrong approach vs focusing on showing up in agent search tool results and swaying them there.
It’s been a long time since agents couldn’t even conduct web search and could only riff off their model. But the examples in this thread are things an agent would search for immediately, and agents are leaning harder on tool calls and external info over time, not less.