Your buyers ask ChatGPT who to hire. This part of the platform asks the same question every night, across sixteen AI models, and keeps track of who gets named.
The test is free. After that, from €89 a month, cancel monthly.
GEO stands for generative engine optimization: making sure AI assistants know your company and recommend it. This part of the Wildbos platform measures that. It puts the buying questions from your market to ChatGPT, Gemini, Claude, Perplexity, Grok, Mistral, DeepSeek and Meta AI, and stores per answer whether you were named, in which position, and which sources the assistant cited.
By default we measure thirty questions across ten assistants, every night. You read the answer word for word, so you see not only that you are missing, but who is standing there instead of you.
A fixed question set is the whole point. If the score moves, the market moved and not the wording. Change the set anyway and the dashboard draws a break line in the graph, so you never compare two different things.
A score without evidence is an opinion. So the platform stores the literal text of every answer, the position you got among the other companies named, and the URLs the assistant cited.
You and every other company in that answer, in the order they appeared.
The same question gets a different answer from Claude than from Gemini. You see where you stand per model.
The domains and the full URLs the assistant quoted to give that answer.
There is a difference between a link to your site and only your name. The dashboard keeps those apart.
By day, week, month, quarter and year. A change inside the noise margin gets no colour.
Every change to your site and every new publication sits on the same timeline as your score.
Four steps, and the first one is free.
The free test puts six questions to four assistants and gives you your AI score.
Leave your e-mail address and the full report is in your own dashboard.
Your proposition produces a pool of fifty buying questions. You switch on what you want measured.
Assistants, questions and frequency. The amount is on your screen before you start.
One number, four pillars. So you know where a drop came from.
If a pillar is missing, for instance because your site is not connected yet, the rest is reweighted. Visibility itself is the share of answers in which you are named.
Sixteen models from ChatGPT, Gemini, Claude, Perplexity, Grok, Mistral, DeepSeek and Meta AI. Ten are on by default. You choose which ones, and the dashboard shows what each measurement costs.
No. We put the questions to the same models that sit behind those apps. That way every question gets identical treatment every night and a movement means something. Who gets named instead of you, and which sources are used, is just as visible.
Your proposition produces a pool of fifty. We measure thirty by default, you can run five, and you can run the whole pool.
From once a week to every night. You choose, and the frequency is part of what your subscription costs.
Not necessarily. The dashboard leaves a change inside the noise margin colourless, and draws a break line the moment your question set changes. One day is a snapshot; the line over thirty days is the signal.
Then that question sits at zero and you see who is there instead. What to do about it comes from the Research tab, which counts what the named parties have on their site and you do not.
The test takes a minute and costs nothing. You get your AI score and you see straight away which questions you lose.