From a name to an answer: how Lyceum became the first provider named
#1the first provider named on the questions that end in a purchase
Eight months ago Lyceum’s domain ranked for almost nothing but its own name. Today it is the first provider an assistant names on the European inference questions that decide a deal.
- 30%of the answers naming Lyceum name it first
- 8% → 74%of search visibility now comes from non-brand questions
- 77×more distinct buying questions the domain is found for
Magnus GrünewaldCo-Founder & CEO, Lyceum Technology
Building the answers, then the machinery to keep them right
Lyceum Technology sells GPU compute and inference from European data centres. Before this engagement its buyers found the company almost exclusively by name: 92% of its search impressions came from queries containing the word Lyceum.
Over the following months we built a technical magazine covering GPU memory maths, model hosting, inference economics and EU data residency, grounded in a fact base with per-claim source retrieval and bound by a compliance record that defines exactly what Lyceum may and may not claim.
Today roughly three quarters of the domain’s search visibility comes from non-brand questions, and on the buying questions that decide a deal an assistant that names Lyceum names it first three times in ten, ahead of providers many times its size.
- Client
- Lyceum Technology Germany GmbH
- Industry
- GPU cloud and AI inference infrastructure
- Market
- Germany and EU · English
- Scope
- Content production, GEO and SEO, AI visibility, reporting
- Search measured
- 9 December 2025 to 15 August 2026
- AI visibility measured
- 9 July to 17 August 2026
- Tracked panel
- 67 buying questions · 8 engines · 51-provider field
- Figures re-derived
- 17 August 2026
Continuous AI measurement began on 9 July 2026, so no pre-engagement AI baseline exists and no change in AI visibility is claimed anywhere on this page. The AI numbers are a standing; the search numbers are a movement.
Findable by name. Invisible to the question.
Lyceum sells to enterprises that need GDPR-compliant, EU-sovereign AI infrastructure, to AI implementation consultancies specifying a stack for a client, and to AI-native startups that can cut inference costs by up to 97% by moving from commercial APIs to open-source models on Lyceum.
None of them starts by searching for a provider. They start with the problem, and Lyceum’s answers lived in a docs site and in its product team’s heads, where no engine could retrieve them.
Lyceum also has to be careful about what it claims and what it stands for, which is why the answers had to be produced against the company’s own positions rather than assembled from the open web.
Where this started · 9 December 2025 to 21 February 2026
- 92%of labelled search impressions came from queries containing the word Lyceum
- 148distinct non-brand questions earned impressions, against 31 non-brand clicks
- NoneAI-visibility measurement in place
Traceability built into content production, not checked at the end
A compliance record defines what Lyceum may and may not claim, and it is read while the article is written, so what gets published is compliance-ready rather than compliance-reviewed.
Step 01
Understand your customers
Voice memos, recorded sales calls and a 125-question customer register became a governed Brand Kit with 53 product records, seven audiences and a binding compliance record.
Output: governed Brand Kit
Step 02
Find the questions customers ask
Demand harvested from Search Console, SERP pulls, People-Also-Ask trees and developer communities, reduced to 20 clusters and a 62-prompt panel in continuous measurement.
Output: versioned prompt panel
Step 03
Publish content that sells
A technical corpus grounded in a 633-fact base with per-claim source retrieval, so every statement is traceable to where it came from.
Output: sourced technical corpus
Step 04
Update to stay relevant
The compliance record is read at generation time, and corrections run through a patch pipeline against it rather than by hand, so the corpus stays compliance-ready as it grows.
Output: compliance-ready corpus
Step 05
Report and improve
Weekly reporting on data the client owns, after nine months of analytics were recovered from behind two instrumentation faults.
Output: measurement the client owns
December 2025 to February 2026
Content retainer begins, first articles indexed 25 February.
April 2026
GTM partnership kickoff, approval workflow agreed.
April to June 2026
Peak publishing, the bulk of the corpus goes live.
July to August 2026
AI-visibility measurement begins, corpus audit and corrections.
Three results, each against its own baseline
First in 30% of the answers that name it · 8% → 74% non-brand reach · 77× more buying questions
Two of these are movements against a recorded starting point. The third is a standing, taken on an instrument that did not exist before July, and it is reported as one.
Position in AI answers
First in three of every ten
Being mentioned is not the same as being the answer. Counted answer by answer, an assistant that names Lyceum names it first 30% of the time, and puts it in the top three in more than half of those answers.
Those wins sit on the questions closest to a decision: EU hosting, data residency, cost per token, running a fine-tuned model in production. Across the whole panel Lyceum is 12th of 51 providers on overall share of voice, and first on the questions that end in a purchase.
On these buying questions, Lyceum is the first provider named
Share of the answers naming Lyceum in which it is named first
scaile platform · 67 tracked buying questions · 8 engines · 28 days to 17 August 2026.
Non-brand reach
From 8% to 74%
This is the number that changed what the domain is. Eight months ago eight percent of Lyceum’s labelled search impressions came from questions that did not contain the company name. Today it is roughly three quarters.
The brand did not suffer for it: clicks on Lyceum’s own name nearly tripled over the same period.
Non-brand questions went from a rounding error to three quarters of visibility
Share of labelled Google Search impressions from queries that do not contain the company name
Google Search Console · lyceum.technology · December 2025 to August 2026.
Question coverage
77 times more questions
Eight months ago the domain earned impressions against 148 distinct questions that did not contain the company name. In the equivalent window today it earns them against 11,401.
That is the difference between a domain people find when they already know the name, and one they find while working out what to buy.
The domain is found for 77 times more buying questions
Distinct non-brand questions earning search impressions, two equal 75-day windows
Google Search Console · lyceum.technology · two equal 75-day windows.
“Our buyers arrive with a technical question long before they know which providers exist. We are now the answer to those questions, and every claim behind it is one we can stand behind.”
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Figures re-derived 17 August 2026 from Google Search Console and the scaile platform’s AI-visibility record. Continuous AI measurement began 9 July 2026, so no pre-engagement AI baseline exists and no AI-visibility change is claimed.
