36 cited runs of 35,111 observed answer runs.
Machine Relations IndexCitation rate0.10% Days observed16/170 Engine breadth5 ConfidenceC
Source domain profile · Other observed source
Lyceum.technology in the Machine Relations Index
lyceum.technology appeared as a cited source in 36 of 35,111 monitored answer runs (0.10%) from 2026-05-10 to 2026-11-02.
Self-description
How the site describes itself
Sovereign European AI inference for open-source models. Pay per token through one API, then move to dedicated GPUs as you grow.
lyceum.technology describes itself this way in the description tag on its homepage, read on November 2, 2026. It is the source's own wording, quoted as found, not a finding of this Index.
Days cited and days observed in the current release window.
ChatGPT, Claude, Gemini, Google AI Overviews, Perplexity. This is an observed-engine list, not a per-engine rate.
MRI confidence is not an Answer-Source Fidelity grade.
Standing
Population ranks from the public release
- Public standing
- #821 of 35,509 observed domains
- Full universe
- #821 of 35,509
- Source role population
- #482 of 31,208
- Evidence-qualified source role
- #482 of 670
Segment evidence
Observed category and question-shape rows
Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.
| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Rank population | Badge |
|---|---|---|---|---|---|---|---|---|
| AI Infrastructure | Best tools | Published | 9 | 251 | 13 | 3.59% | #49 of 364 | Badge |
| AI Infrastructure | How buyers choose | Published | 5 | 270 | 13 | 1.85% | #73 of 416 | Badge |
| AI Infrastructure | Is it worth it | Published | 8 | 269 | 13 | 2.97% | #44 of 404 | Badge |
| AI Infrastructure | Problem-first research | Published | 3 | 269 | 13 | 1.12% | #98 of 459 | Badge |
| AI Infrastructure | Top lists | Published | 3 | 272 | 13 | 1.10% | #134 of 440 | Badge |
| AI Infrastructure | Comparisons | Published | 7 | 270 | 13 | 2.59% | #45 of 360 | Badge |
| Deep Tech & Hardware | Best tools | Published | 1 | 250 | 12 | 0.40% | #419 of 527 | Badge |
Published segments: 7. Collecting segments: 0.
Citation history
Cited runs month by month
lyceum.technology was first cited in a monitored answer run on July 6, 2026, and most recently on November 1, 2026, with cited runs in 4 of the 5 months from then to this release. The release window opens 2026-05-10, so an earlier citation would not show here.
A month's rate is the share of all monitored answer runs that month that cited this domain. The latest month is still collecting.
| Month | Cited runs | Observed runs | Rate |
|---|---|---|---|
| July 2026 | 10 | 4,697 | 0.21% |
| August 2026 | 0 | 3,062 | 0.00% |
| September 2026 | 3 | 4,971 | 0.06% |
| October 2026 | 21 | 16,496 | 0.13% |
| November 2026 (to 2026-11-02) | 2 | 628 | 0.32% |
By answer engine
Which engines cite Lyceum.technology
An engine's rate is its cited runs over every monitored run that engine answered in the window. Engines answer different numbers of runs, so compare rates, not counts.
| Engine | Cited runs | Engine’s observed runs | Rate |
|---|---|---|---|
| Perplexity | 19 | 8,365 | 0.23% |
| Gemini | 7 | 6,883 | 0.10% |
| ChatGPT | 5 | 8,247 | 0.06% |
| Claude | 4 | 8,285 | 0.05% |
| Google AI Overviews | 1 | 1,267 | 0.08% |
| Google AI Mode | 0 | 2,064 | 0.00% |
Peers
Nearest sources on AI Infrastructure / Is it worth it
Lyceum.technology holds its best segment rank, #44 of 404, in AI Infrastructure / Is it worth it, at 2.97%. 6 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Full leaderboard.
| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---|---|
| #37 of 404 | Adaptiverecall.com | Other observed source | 3.35% | +0.38 pts |
| #38 of 404 | Aimprosoft.com | Other observed source | 3.35% | +0.38 pts |
| #39 of 404 | Ciopages.com | Other observed source | 3.35% | +0.38 pts |
| #43 of 404 | Gravitee.io | Other observed source | 2.97% | Same rate |
| #45 of 404 | Portkey.ai | Other observed source | 2.97% | Same rate |
| #47 of 404 | Computecomparison.com | Other observed source | 2.60% | -0.37 pts |
| #48 of 404 | Gpusmith.com | Other observed source | 2.60% | -0.37 pts |
| #49 of 404 | Kalviumlabs.ai | Other observed source | 2.60% | -0.37 pts |
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Lyceum.technology (lyceum.technology), 0.10% citation rate, 36 of 35,111 monitored answer runs, 2026-05-10 to 2026-11-02. Release mri_score_v2.1+2026-11-02+f9aaeca0db15. https://machinerelations.ai/index/domains/lyceum.technology. CC BY 4.0.APA
Parrott, J. (2026). Lyceum.technology (lyceum.technology) in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/lyceum.technology https://doi.org/10.5281/zenodo.23652423BibTeX
@misc{parrott2026mrilyceumtechnology,
author = {Parrott, Jaxon},
title = {Lyceum.technology (lyceum.technology) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-11-02+f9aaeca0db15},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/lyceum.technology},
doi = {10.5281/zenodo.23652423},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}Release and boundary
What this profile measures
Published November 2, 2026. The observation window runs May 10, 2026 to November 2, 2026. Methodology v2.1.
Use the data
curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.htmlimport json
from urllib.request import urlopen
index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
index = json.load(response)
print(index["generated"], index["total_domains"])The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.
Embed
Embed this profile’s badge
The link goes to this profile, the alt text says what the badge shows, and the badge is live: it always shows the current release, so it changes when the release changes and returns 404 if this domain leaves the released population. The embedder decides the link’s rel attribute. To keep a fixed image, download the SVG.
HTML
<a href="https://machinerelations.ai/index/domains/lyceum.technology"><img src="https://machinerelations.ai/index/domains/lyceum.technology/badge.svg" alt="Lyceum.technology in the Machine Relations Index: 0.10% cited in monitored answer runs, #821 of 35,509 observed domains. Machine Relations Research." width="467" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/lyceum.technology)