Built for the moment AI search changed how brands get discovered
We did not arrive here by accident. First we studied how models talk about brands. Then we built the workflows to shape that story. Now teams can actively improve how they appear across the LLM layer.
We started measuring how AI describes brands
Before most teams were paying attention, we were already studying how large language models interpret brands, compare companies, and shape recommendation quality.
We turned that learning into brand training workflows
Next came the practical layer. We built systems to sharpen brand positioning, structure proof points, and give AI models clearer signals to work from.
Now brands can monitor, train, and improve LLM visibility in one place
Today, GeoSnake brings brand scans, AI training, competitor tracking, and LLM monitoring together so teams can see what models say and improve it continuously.
Why we built GeoSnake
GeoSnake started with a simple observation: our customers weren’t using Google to find us anymore - they were asking ChatGPT. And whether ChatGPT recommended us or a competitor was quietly deciding who won the deal.
The tools we tried to measure it with were built for a different era. Ranking positions. Backlink counts. Keyword volumes. None of them explained why one brand got recommended by an AI model and another didn’t.
So we built the workflow we wished existed: business scans, competitor scans, keyword tracker scans, prompt-lab experiments and an SEO blog generator - all connected, all pointing at one number: how often AI models recommend your brand.
Every AI model. Every buyer prompt. Every market.
We already track ChatGPT, Gemini and Claude - with Perplexity coming soon. Our roadmap is to make GeoSnake the single place any team goes to answer one question: how often are we recommended when a buyer asks an AI?
Founding Team
Built by operators focused on measurable GEO growth across AI search, content, and brand visibility.
Oliver is a multi-entrepreneur with multiple self-made e-commerce and software brands. After using several GEO tools across his companies, he realized there was a gap in the market and decided to create GeoSnake to fill it.
Oliver Dadema
Co-Founder
Aymee is an AI marketer who has developed strategies and solutions for brands looking to increase exposure through digital advertising, SEO, and more. As she leaned further into AI marketing and GEO, she realized there was still no GEO tool that felt quite right, and saw GeoSnake as the chance to change that.
Aymee Janssen
Co-Founder
Three principles that shape every decision
Clarity first
Every scan, chart and recommendation exists for one reason: to make it obvious what to do next. If it doesn’t move a decision, it doesn’t ship.
Action over noise
We’d rather give you three sharp actions than fifty vanity metrics. GeoSnake turns visibility signals into real work your team can finish this week.
Built for the new layer
The AI search layer is where discovery, comparison and buying decisions are moving. GeoSnake is built from day one for that shift - not bolted onto legacy SEO.
A small team, shipping fast, close to customers
We ship weekly
New scan improvements, model coverage and reporting every single week - because the AI search layer changes every week.
We dogfood
GeoSnake runs on GeoSnake. Every feature earns its place by first proving it moves our own visibility.
Customers steer the roadmap
The next feature we build is almost always the one a paying customer asked for. That’s the rule.
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