Two Users
Every brand now has two users: the human who buys, and the model that recommends. You have spent years learning to reach the first.
The second is now the one who decides whether the first ever hears your name, and almost no one is marketing to it.
Visibly shows you what the machines say about your brand across every major AI engine, and does the work to win them.
Context
In 1998, Larry Page and Sergey Brin published a paper with a quietly radical premise: that the web could be ranked not by what a page said about itself, but by what every other page said about it. Links were votes. They called it PageRank, and for a quarter-century it ran the world's attention through a single question, who points to you?, and gave you, in return, a list. Ten blue links, and a buyer free to choose among them.
For those twenty-five years there was only one user who mattered: the person on the other side of the screen. Everything we built (SEO, content, brand, the whole apparatus of marketing) was built to persuade them. You competed for the human's click, and win or lose, you could watch yourself do it.
In 2026, a second user arrived. And it goes first. Before your buyer ever sees you, a model reads you on their behalf. A buyer opens ChatGPT and asks which platform to use for a company their size. The model answers in a confident paragraph: it names three vendors, explains warmly why each fits, and leaves you out, leaning on a comparison post you didn't write, a Reddit thread you never saw, a review site frozen in 2023. The human never evaluated you. The machine already did, and decided you weren't worth mentioning.
Problem
Two users, two entirely different readers, and you are still only marketing to one of them.
The human, you understand. You know how to earn their attention and change their mind. The machine is a different creature. It reads everything written about you, not by you. It forms an opinion from a corpus you never authored, and then states that opinion as fact, at the precise moment a decision is made. It is a bad reader with a confident voice, and a set opinion is sticky: the human got ten chances to reconsider on a page; the machine offers one sentence, pre-decided, and moves on. Confidence, repeated across millions of conversations, hardens into consensus.
So your second user now sits between you and your first: invisible, opinionated, decisive, quietly settling your pipeline in a room you cannot see and were never invited to.
Thesis
Visibly helps you market to both. We read the machines back to you, and then we change their mind. We measure what the models say about your brand, trace what's driving it, and do the work to win the answer. Seeing the gap is the start. Closing it is the product.
Visibility : what your second user sees
We run the questions your buyers are actually asking across ChatGPT, Claude, Gemini, and Perplexity, and we trace the whole path: which prompts you appear in, who appears beside you, which sources the models trust, who gets cited, who gets recommended, and whether any of it holds from one week to the next, tied back to your GA and GSC traffic so you can see which visitors the machines are sending you. You stop guessing what your second user thinks of you, and start watching it.
The Work : changing its mind
This is the part every dashboard skips. A score you can't move is just a more sophisticated way to feel bad, watching your share of voice tick down with perfect clarity does not save the deal. So we do the work that changes the verdict. We fix the on-page and metadata the models choke on. We write the content they cite: the comparisons, listicles, glossaries, the answers to the exact questions your buyers are asking. And we do the off-page work that actually moves belief: the backlinks and citations, the community seeding where the models go to learn, the news features, watching what gets a competitor cited and replicating it on your behalf. Everyone else is selling a mirror. We hand you the win.
Why now
The buyer's first move has changed. The journey that used to begin in a search bar now begins in a chat window, and AI Overviews are compressing the old list of ten into a single confident paragraph above everything else. Zero-click is no longer an edge case; for more and more questions, the answer is the destination. Your buyer never arrives, because your second user already told them what your site would have said, whether or not that's what it says.
The opinions are forming right now, this quarter, while the corpus is still thin and contested and movable. The companies that wait will inherit a verdict written by whoever showed up first. The ones who move will help write it.
Most teams are treating this like a 2027 problem. We're treating it now. The companies that win the next ten years will be the ones who started marketing to their second user before everyone else realized it had arrived. We built Visibly for them.
The team at Visibly