We untie the knots in your narrative.
KnotPicker helps tech companies and startups put their expertise into words that speak to people and stay legible to AI.
ScrollKnotPicker is a sci-tech communication studio for the AI-search era.
We combine communication expertise with AI-search optimization (GEO and AEO) so that your company's narrative is understood clearly and accurately,
by the people who matter to your business and by the AI systems they ask about you.
When a client, partner or investor asks an AI assistant about your company, the answer often leaves out what matters most, or gets it wrong.
Technical optimization decides whether AI can read your content, but the structure and logic of your writing decide what both AI and people take from it.
For tech companies the challenge is even greater: specialized terminology and assumed background knowledge make their content easy to misread, by machines and by people.
We don't promise rankings or citations. No one honestly can. We commit to a clear method and measurable improvement.
Sara Incao is a mediator between technology companies and the audiences they need to reach.
With a PhD in Bioengineering and Robotics and 7+ years as a science writer, she understands the technical content of a company's work well enough to explain it accurately to clients, investors, journalists, and the AI chatbots they increasingly use to find information.
She holds a BA in Communication and a postgraduate specialization in Science Communication.
She also holds an MA in Philosophy, which trained her to ask the questions that come before any message: who is listening, what they already believe, and what a technology means in their world.
Carlo Mazzola is KnotPicker's CTO, an expert in AI-powered platforms that people can understand and trust.
With a PhD in Bioengineering and Robotics and 7+ years developing interactive systems, from humanoid robots to decision support tools, he knows how machines process information and how to turn their outputs into something users can read and act on.
At KnotPicker, he builds the tools that reveal how AI chatbots find, interpret and cite a company's content.
He loves working across borders: his R&D path runs through labs and EU-funded projects in Italy, Spain, Japan and the UK.
Technology SMEs and research spin-offs with strong expertise and limited communication resources.
Generative engine optimization (GEO) is the practice of shaping content so that AI assistants and AI-powered search engines can find it, understand it and cite it accurately. Answer engine optimization (AEO) is a closely related term focused on the direct answers these systems give.
SEO focuses on where a page ranks. We work on what an AI system or a reader takes away from your content: whether key claims are stated explicitly, terms are used consistently, and the relations between ideas are clear.
Technical expertise relies on specialized terminology and assumed background knowledge. Content written for peers is easily summarized incompletely or incorrectly, by machines and by people.
Technical optimization, such as structured data and markup, decides whether AI systems can access and parse your content. It doesn't decide what they extract from it. That depends on how the text is written: how information is organized, whether key claims are stated explicitly and in self-contained form, whether terms are used consistently, and whether the relations between statements are clear.
AI-generated texts are filling the web with the same structures and the same tone, and in science communication they tend to drift toward a sensationalist style. The result is a standardized narrative that doesn't stand out from competitors. We use AI differently: we study how language models read, interpret and summarize text, and add the communication strategy and knowledge that a prompt alone can't supply.
We test how AI assistants and search engines currently describe your company and compare it with what you want to be known for. You get a clear picture of what is missing, misrepresented or misattributed, and of the content we would restructure and rewrite first.
No, and no one honestly can: rankings and citations depend on systems no one controls. We commit to a clear method and measurable improvement, and we repeat the tests over time to show what has changed.
KnotPicker is launching soon. We're taking on a small number of tech companies and startups for pilot audits: we'll show you how AI assistants describe you today, and what we would change.
Write to us:
[email protected]
