See how AI describes you today
Run a fixed prompt set across major answer engines and capture mentions, descriptions, citations, and omissions.
Run the quick check →AI Visibility helps companies understand how ChatGPT, Perplexity, Gemini, and AI Overviews describe their category, then improve the evidence shaping those answers.
AI visibility researcher and practitioner. Head of Data & AI at Firgun Ventures. Lead AI Lecturer at Le Wagon, AI consultant, author, and former ecommerce founder — with applied AI programs taught for teams including:
AI systems are becoming a first impression. Buyers ask about categories, vendors, alternatives, and risks before they ever reach a company website.
AI Visibility makes that first impression observable. We test the prompts, inspect the sources, find the gaps, and turn the findings into a practical plan for clearer answers.
What does AI say about this company?
A practical path from baseline to better evidence: measure the answers, understand the sources, repair the gaps, and keep watching the drift.
Run a fixed prompt set across major answer engines and capture mentions, descriptions, citations, and omissions.
Run the quick check →Understand how buyers might be misled, what competitors own, and which evidence could change the answer.
Request a teardown →Turn category definitions, comparisons, FAQs, proof, limitations, and use cases into answerable assets.
Explore the content layer →Build legitimate references across owned, earned, expert, community, and media surfaces with consistent facts.
Map the citation system →Repeat the prompts over time so you can see new citations, contradictions, competitor framing, and missing evidence.
Discuss ongoing monitoring →Start with one category, buyer, competitor, or recommendation question that matters commercially.
Let's chat →Start with the field experiment if you are exploring. Move into a baseline or teardown when the answers affect a real growth decision.
Follow the newsletter on AI visibility, citations, answer engines, and the evidence shaping brand perception.
Start with a small prompt set to see what AI systems say and which sources they cite.
A focused readout of descriptions, citations, gaps, competitor framing, and the highest-leverage repairs.
Turn the baseline into a prioritized content, citation, entity, and measurement plan your team can run.
Maintain the prompt set, monitor drift, refresh evidence, and keep the company accurately represented.
Focused AI visibility support when citations, entity clarity, and AI-mediated discovery are the urgent growth bottleneck.
Explore the practical course, or preview the material before you decide how far to go.
Teaching applied AI to a Fortune 500 company
His background spans data engineering, BI, technical consulting, ecommerce, media operations, growth, and applied AI education. That mix shapes the point of view behind AI Visibility: being mentioned matters less than being understood correctly when the decision is on the line.
Now
Head of Data & AI
Firgun Ventures
Teaching
Lead AI Lecturer
Le Wagon
Also
Author & AI SEO researcher
Former ecommerce founder
Built
GenAI programs
For enterprise teams
Start with the field notes if you are exploring. Request a teardown if you need to understand what AI says about your company and what to fix first.