We want AI to be the best marketer your brand ever had.

Make it easy for AI to find you, recommend you, and tell your story well. That is the whole job. A great answer in ChatGPT can do what a great salesperson does. Speak clearly, point to the right product, and answer the next question before it is asked. We want that to happen for your brand, every time, in every language, in every country.

Think of an AI model as a marketer that never sleeps and never has a bad day. If it understands what you do and why you are good at it, it will repeat that to millions of people on your behalf. If it does not, you simply will not be in the room when the buyer decides.

AI search is not like Google. Ask the same question twice and you can get two different answers. Change one word and a competitor takes your spot. One screenshot of ChatGPT picking you proves nothing. One screenshot of it ignoring you proves nothing either.

So most teams are flying blind. They write content, run a prompt, see a result, and hope. We think you deserve better. You deserve to know what AI actually says about you, how often, and what to change to move the needle.

We treat AI answers the way a lab treats noisy data. Sample many times. Measure carefully. Compare across models. Track change over time. Then act on what is signal, not what is vibes.

In practice, that means we poll ChatGPT, Claude, and Gemini with real buyer questions, dozens of times, every day. We record who was mentioned, in what position, in what tone, and by which model. Then we train a small model on your own history that can predict what happens if you add statistics, cite a study, refresh a page, or earn a new third party mention. You see the likely lift before you spend a week writing.

We do not invent rules. We lean on published work (GEO, Tryscope, Yext, Ahrefs, Seer Interactive, CMU's LLM Whisperer, Columbia and MIT's E-GEO) and test those findings inside your own data, on your own buyer questions. When the research disagrees with what we see for your brand, your data wins.

No magic. No buzzwords for the sake of buzzwords. If we say a change should help, we will show you the data behind that call. If we are not sure, we will say so. If we are wrong, we will fix it and learn from it.

We will keep the work simple to act on. Most of your time should be spent making your product and your content better, not staring at a dashboard. We will hand you a short list of moves that matter, and stay out of the way.

A small team that has worked across search, machine learning, and content. We build in the open, cite our sources, and write the way we talk. If you want the deep technical version of what is happening under the hood, our concept page walks through the math and the papers. If you want the short version, you are already on it.

If you would rather just see your brand on the simulator and decide for yourself, that is the fastest way to understand what we do.