Source domain profile · Other observed source

Sheen.bot in the Machine Relations Index

sheen.bot appeared as a cited source in 1 of 35,111 monitored answer runs (0.00%) from 2026-05-10 to 2026-11-02.

Source site Markdown Public JSON

Citation rate0.00%

1 cited runs of 35,111 observed answer runs.

Days observed1/170

Days cited and days observed in the current release window.

Engine breadth1

ChatGPT. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: collecting · 0.00% across 1/35,111 observed runs
Full universe: Producer rank unavailable
Source role population: Producer rank unavailable
Evidence-qualified source role: Producer rank unavailable

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
Deep Tech & Hardware	Problem-first research	Published	1	236	12	0.42%	#262 of 298	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

sheen.bot has been cited in one monitored answer run, on October 29, 2026, by ChatGPT, in answers to Deep Tech & Hardware / Problem-first research questions. Other sources cited for Deep Tech & Hardware questions are on the Deep Tech & Hardware sources page.

Peers

Nearest sources on Deep Tech & Hardware / Problem-first research

Sheen.bot holds its best segment rank, #262 of 298, in Deep Tech & Hardware / Problem-first research, at 0.42%. 144 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
#138 of 298	Px4.io	Other observed source	0.85%	+0.43 pts
#139 of 298	Radioeng.cz	Other observed source	0.85%	+0.43 pts
#140 of 298	Readthedocs.io	Other observed source	0.85%	+0.43 pts
#141 of 298	Robocraze.com	Other observed source	0.85%	+0.43 pts
#142 of 298	Roboticsprojecthub.com	Other observed source	0.85%	+0.43 pts
#143 of 298	Safeguardsense.com	Other observed source	0.85%	+0.43 pts
#261 of 298	Seymouradvancedtechnologies.com	Other observed source	0.42%	Same rate
#263 of 298	Shzldrive.com	Other observed source	0.42%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Sheen.bot (sheen.bot), 0.00% citation rate, 1 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/sheen.bot. CC BY 4.0.

APA

Parrott, J. (2026). Sheen.bot (sheen.bot) in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/sheen.bot https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrisheenbot,
  author = {Parrott, Jaxon},
  title = {Sheen.bot (sheen.bot) 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/sheen.bot},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

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.html

import 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/sheen.bot"><img src="https://machinerelations.ai/index/domains/sheen.bot/badge.svg" alt="Sheen.bot in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 35,111 runs · Collecting. Machine Relations Research." width="417" height="64"></a>

Markdown

[![Sheen.bot in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 35,111 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/sheen.bot/badge.svg)](https://machinerelations.ai/index/domains/sheen.bot)