Source domain profile · Other observed source

Sigma-rh.com in the Machine Relations Index

sigma-rh.com appeared as a cited source in 1 of 31,659 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-26.

Source site Markdown Public JSON

Citation rate0.00%

1 cited runs of 31,659 observed answer runs.

Days observed1/163

Days cited and days observed in the current release window.

Engine breadth1

Perplexity. 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 1/31,659 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
HR & Talent	How buyers choose	Published	1	204	11	0.49%	#311 of 343	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

sigma-rh.com has been cited in one monitored answer run, on September 20, 2026, by Perplexity, in answers to HR & Talent / How buyers choose questions. Other sources cited for HR & Talent questions are on the HR & Talent sources page.

Peers

Nearest sources on HR & Talent / How buyers choose

Sigma-rh.com holds its best segment rank, #311 of 343, in HR & Talent / How buyers choose, at 0.49%. 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
#184 of 343	Stanford.edu	Academic and government source	0.98%	+0.49 pts
#185 of 343	Steampowered.com	Other observed source	0.98%	+0.49 pts
#186 of 343	Switsdigital.com	Other observed source	0.98%	+0.49 pts
#187 of 343	Syncsoft.ai	Other observed source	0.98%	+0.49 pts
#188 of 343	Talos360.co.uk	Other observed source	0.98%	+0.49 pts
#189 of 343	Teamtailor.com	Other observed source	0.98%	+0.49 pts
#310 of 343	Selecthrtech.com	Other observed source	0.49%	Same rate
#314 of 343	Smartkeys.org	Editorial publication	0.49%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Sigma-rh.com (sigma-rh.com), 0.00% citation rate, 1 of 31,659 monitored answer runs, 2026-05-10 to 2026-10-26. Release mri_score_v2.1+2026-10-26+ff67a630fa8e. https://machinerelations.ai/index/domains/sigma-rh.com. CC BY 4.0.

APA

Parrott, J. (2026). Sigma-rh.com (sigma-rh.com) in the Machine Relations Index (Version mri_score_v2.1+2026-10-26+ff67a630fa8e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/sigma-rh.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrisigmarhcom,
  author = {Parrott, Jaxon},
  title = {Sigma-rh.com (sigma-rh.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-26+ff67a630fa8e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/sigma-rh.com},
  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 October 26, 2026. The observation window runs May 10, 2026 to October 26, 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/sigma-rh.com"><img src="https://machinerelations.ai/index/domains/sigma-rh.com/badge.svg" alt="Sigma-rh.com in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 31,659 runs · Collecting. Machine Relations Research." width="438" height="64"></a>

Markdown

[![Sigma-rh.com in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 31,659 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/sigma-rh.com/badge.svg)](https://machinerelations.ai/index/domains/sigma-rh.com)