1 cited runs of 33,570 observed answer runs.
Source domain profile · Other observed source
B2B Reviews in the Machine Relations Index
b2breviews.com appeared as a cited source in 1 of 33,570 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-30.
Days cited and days observed in the current release window.
ChatGPT. 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
- collecting · 0.00% across 1/33,570 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 | Top lists | Published | 1 | 203 | 11 | 0.49% | #154 of 255 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
b2breviews.com has been cited in one monitored answer run, on September 27, 2026, by ChatGPT, in answers to HR & Talent / Top lists questions. Other sources cited for HR & Talent questions are on the HR & Talent sources page.
Peers
Nearest sources on HR & Talent / Top lists
B2B Reviews holds its best segment rank, #154 of 255, in HR & Talent / Top lists, at 0.49%. 109 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 |
|---|---|---|---|---|
| #104 of 255 | Adp.ca | Other observed source | 0.99% | +0.50 pts |
| #105 of 255 | Apollotechnical.com | Other observed source | 0.99% | +0.50 pts |
| #106 of 255 | Camdixwapens.co.za | Other observed source | 0.99% | +0.50 pts |
| #107 of 255 | Checkbox.com | Other observed source | 0.99% | +0.50 pts |
| #108 of 255 | Citeables.com | Community and social platform | 0.99% | +0.50 pts |
| #109 of 255 | Cognitoforms.com | Other observed source | 0.99% | +0.50 pts |
| #151 of 255 | Arasoftwares.com | Other observed source | 0.49% | Same rate |
| #155 of 255 | B2bstack.com.br | Other observed source | 0.49% | Same rate |
Cite this
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. B2B Reviews (b2breviews.com), 0.00% citation rate, 1 of 33,570 monitored answer runs, 2026-05-10 to 2026-10-30. Release mri_score_v2.1+2026-10-30+ddc11e2c7974. https://machinerelations.ai/index/domains/b2breviews.com. CC BY 4.0.Parrott, J. (2026). B2B Reviews (b2breviews.com) in the Machine Relations Index (Version mri_score_v2.1+2026-10-30+ddc11e2c7974) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/b2breviews.com https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mrib2breviewscom,
author = {Parrott, Jaxon},
title = {B2B Reviews (b2breviews.com) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-10-30+ddc11e2c7974},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/b2breviews.com},
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 October 30, 2026. The observation window runs May 10, 2026 to October 30, 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/b2breviews.com"><img src="https://machinerelations.ai/index/domains/b2breviews.com/badge.svg" alt="B2B Reviews in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 33,570 runs · Collecting. Machine Relations Research." width="434" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/b2breviews.com)