So you are working mostly, from what I understand, from the top down, correct?

Well, so I view the problem of visibility in large language models to be a combination of two things.

There is a technical component, which we might oversimplistically call SEO.

So search engine optimization.

And search engine optimization is a vital kind of building block.

You're not going to do well in geo, and I call it geo because to me it's about the generative aspect of things, which is kind of really important to the overall understanding of the picture, in my view.

You're not going to do well in geo unless you have a certain... robustness or completeness in your SEO.

So how are you explaining that to people you know c-suite level that yeah seo is important but so are these other things

What have you been seeing given your experience and academia and in the real world and over the course of decades, how has marketing changed and is marketing aligned with what it should be aligned with?

So it's like an ever-flowing river and everyone jumps in at a different point and there are lots of bends and we all get caught up in them.

So analogy aside, just remember that market research, good market research, starts with the decision.

What decision are we trying to make? And that's our decision objective.

Then we say, well, what information would we wish to have? that could either support or refute the making of that decision.

So you had information objectives.

And then from the information objectives, which is not questions, information objectives, we would want to know this, we would want to know that, we would want to know these things, so that we would have the information to support the making of a particular decision.

Tell me what you're seeing on the B2B side there.