Your company already has an AI reputation. Measure it.

What does AI say about your company when you are not in the room?

AI Visibility helps companies understand how ChatGPT, Perplexity, Gemini, and AI Overviews describe their category, then improve the evidence shaping those answers.

The visibility loopAI Visibility
Entity
Citations
Answers
Measurement

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:

Warner Music SLB ODDO Engie Stellantis Eiffage Roland Berger Bain & Company
The first question · AI Visibility

Millions of people have switched to AI for search.

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.

Answer engine ChatGPT
Q

What does AI say about this company?

Cited source cedricdeschaut.com
Choose your starting point

Start with the visibility question that keeps coming up.

A practical path from baseline to better evidence: measure the answers, understand the sources, repair the gaps, and keep watching the drift.

Baseline

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
Teardown

Find the answer and citation gaps

Understand how buyers might be misled, what competitors own, and which evidence could change the answer.

Request a teardown
Content system

Publish what buyers need to know

Turn category definitions, comparisons, FAQs, proof, limitations, and use cases into answerable assets.

Explore the content layer
Authority

Strengthen the sources around the brand

Build legitimate references across owned, earned, expert, community, and media surfaces with consistent facts.

Map the citation system
Monitoring

Measure consensus and drift

Repeat the prompts over time so you can see new citations, contradictions, competitor framing, and missing evidence.

Discuss ongoing monitoring

Not sure which prompt first?

Start with one category, buyer, competitor, or recommendation question that matters commercially.

Let's chat →
Ways to work together

From one visibility question to a repeatable measurement system.

Start with the field experiment if you are exploring. Move into a baseline or teardown when the answers affect a real growth decision.

01

Stay up to date

Free

Follow the newsletter on AI visibility, citations, answer engines, and the evidence shaping brand perception.

Join →
02

AI Visibility Quick Check

Free baseline

Start with a small prompt set to see what AI systems say and which sources they cite.

Start →
03

Visibility Teardown

Paid analysis

A focused readout of descriptions, citations, gaps, competitor framing, and the highest-leverage repairs.

Discuss →
04

AI Visibility Sprint

Strategy + build

Turn the baseline into a prioritized content, citation, entity, and measurement plan your team can run.

Explore →
05

Ongoing Visibility Partner

Monthly support

Maintain the prompt set, monitor drift, refresh evidence, and keep the company accurately represented.

Discuss →
06

Agentic SEO

Specialist partner

Focused AI visibility support when citations, entity clarity, and AI-mediated discovery are the urgent growth bottleneck.

Explore →
Go deeper

Build the AI SEO system behind better visibility.

Explore the practical course, or preview the material before you decide how far to go.

Cedric De Schaut teaching an applied AI session
In Practice

Teaching applied AI to a Fortune 500 company

The operator behind it

Cedric studies the gap between what a company says and what AI systems repeat.

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

Let's talk
Your next step

One clear answer beats another scattered visibility experiment.

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.