We tested our methodology on ourselves first
Our platform launched in early 2026. Instead of waiting for external client results, we applied our full GEO/AEO methodology to the three brands we know best: Storyzee, Block Expert and Ludobros.
Every score below was measured by the same 8-agent platform we use for clients. Full transparency — no fabricated cases.
Storyzee
From video agency to AI visibility intelligence — a complete repositioning
Before
5/100
After
52/100
6 weeks — real-time measurement
Storyzee existed since 2020 as a video production and creative content agency. The old Wix website was optimized for "video agency Paris" — not for AI visibility queries. When we decided to pivot to AI visibility intelligence in early 2026, our brand was invisible on every AI engine for every relevant query.
We rebuilt from scratch: a static Astro site optimized for AI citability, BLUF-structured content on every page, complete schema.org markup, llms.txt deployment, bilingual architecture (EN/FR), 8 blog articles targeting high-intent GEO queries, consistent profiles across Clutch, Crunchbase, DesignRush, Sortlist, Trustpilot and Google Business — and the proprietary platform measuring it all.
Result: Storyzee went from a score of 5/100 (residual traces from the old positioning) to 52/100 in under 6 weeks. We now appear in ChatGPT, Perplexity and Claude answers for queries like "AI visibility agency", "GEO agency France" and "brand visibility in AI answers".
This is the case study we're most proud of — because we had to eat our own cooking and prove the methodology works.
Block Expert
B2B Blockchain — from zero to IBM and Orange references
Before
3/100
After
41/100
Over 2 years of positioning — score measured retrospectively
Block Expert is a B2B pure player specializing in blockchain consulting and development, co-founded by Benjamin Gievis. At launch, the company had zero digital presence — no website, no content, no search visibility, no entity in any database.
We built the entire digital presence from scratch: editorial positioning, website, technical content strategy, press relations and thought leadership. The work was done before our GEO methodology existed — the AI visibility score was measured retrospectively using our platform.
Result: client references at IBM and Orange, a citation in the EU Blockchain Sandbox, and an AI visibility score increase from 3/100 to 41/100. Block Expert now appears in Perplexity and Claude answers for blockchain consulting queries in France.
Note: Score measured retrospectively — the positioning work predates the platform.
Ludobros
Holding company — making a corporate entity visible to AI engines
Before
2/100
After
19/100
Concurrent with Storyzee repositioning — measured retrospectively
Ludobros SARL is the holding company behind Storyzee, founded in 2015. As a corporate entity with no public-facing product or content, Ludobros was essentially a ghost online — a SIREN number in a legal database with zero brand signals.
We used Ludobros as a test case for the hardest scenario: making a non-consumer-facing corporate entity recognizable to AI engines. The work involved establishing entity consistency across business databases, creating a coherent organizational schema linking Ludobros to its subsidiaries, and ensuring legal and corporate information was structured for AI consumption.
Result: Ludobros moved from 2/100 to 19/100. AI engines now correctly identify Ludobros as the parent company of Storyzee and associate it with Benjamin Gievis. A modest score — but a meaningful one for an entity that had no reason to be visible before.
This case proves that even holding companies and corporate entities can build AI visibility when the structural foundations are right.
What all these cases have in common
Every case above starts with a documented score from the same platform you'll use — not a spreadsheet, not an opinion. Real brands, real baselines, real progress tracked every two weeks. And in every case, Benjamin Gievis did the work personally.
Your case
Every company starts from a different point. Some have a score of 0 — no trace inside AI answers. Others sit at 15 or 20 but stagnate because the structural foundations aren't in place.
The free demo is the first step. We'll show you your score on our platform, walk you through what the 8 agents found, and explain exactly what needs to happen to improve it.
Before knowing where to go, you need to know where you stand.
Ready to know your number?
FAQ
What if my industry is very niche — can AI visibility still be improved?
Yes — niche industries are often easier to improve because there's less competition for AI citations. Our three cases span AI consulting, B2B blockchain and a corporate holding company — three very different profiles. The methodology works by identifying the specific queries, platforms and authority signals that matter for your market. In niche B2B sectors, even small structural improvements (schema markup, llms.txt, one or two authoritative third-party listings) can move the score significantly because your competitors haven't done them either.
Were these AI visibility scores measured with the same platform clients use?
Yes, exactly the same. Our proprietary platform runs 8 specialized agents querying ChatGPT, Perplexity, Gemini, Claude and Grok across target queries for each brand's market. The scores for Block Expert and Ludobros were calculated retrospectively — the digital positioning work predates the platform. For Storyzee, the repositioning and platform measurement happened simultaneously, making it a real-time case study.
How quickly can we expect similar results?
Timeline depends on starting position and market competitiveness. Quick wins — llms.txt creation, schema markup, third-party listing setup — can move individual scores within days. Brand query visibility typically improves within 4 to 8 weeks. Category queries ('best X for Y') require deeper structural work and show significant movement within 3 to 6 months. The platform re-scans every 2 weeks so you track progress in real time.
Do results vary by industry or company size?
AI visibility improvement potential varies more by competitive density than by industry or size. A B2B SaaS company in a niche market with 5 competitors may see faster gains than a consulting firm in a saturated category. Our three cases span AI consulting, B2B blockchain and a holding company precisely to show the methodology works across different profiles.
What happens after the initial engagement ends?
AI visibility is not a one-time fix — it requires ongoing monitoring as AI engines update their models and competitors adjust their strategies. After the initial engagement, most clients opt for a monitoring retainer: the platform continues bi-weekly re-scans, we flag significant score changes, and execute targeted interventions when needed. Some clients bring optimization in-house after our training program — the platform data continues to guide their work.