# B2B Reviews in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/b2breviews.com
Canonical domain: b2breviews.com
Source role: Other observed source
Release mri_score_v2.1+2026-10-30+ddc11e2c7974; methodology mri_score_v2.1; generated 2026-10-30; window 2026-05-10 to 2026-10-30; artifact f325eae92190.

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.

## Overall Evidence

- Citation rate: 0.00%
- Cited runs: 1 of 33,570
- Days cited: 1 of 167
- Engine breadth: 1 observed engines (chatgpt)
- Confidence: Collecting
- Standing: collecting · 0.00% across 1/33,570 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Top lists](https://machinerelations.ai/index/categories/hr-talent/top_list) | published | 1 | 203 | 11 | 0.49% | #154 of 255 |

## Citation Record

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: https://machinerelations.ai/index/categories/hr-talent

## Peers

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. Leaderboard: https://machinerelations.ai/index/categories/hr-talent/top_list

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #104 of 255 | [Adp.ca](https://machinerelations.ai/index/domains/adp.ca) | Other observed source | 0.99% | +0.50 pts |
| #105 of 255 | [Apollotechnical.com](https://machinerelations.ai/index/domains/apollotechnical.com) | Other observed source | 0.99% | +0.50 pts |
| #106 of 255 | [Camdixwapens.co.za](https://machinerelations.ai/index/domains/camdixwapens.co.za) | Other observed source | 0.99% | +0.50 pts |
| #107 of 255 | [Checkbox.com](https://machinerelations.ai/index/domains/checkbox.com) | Other observed source | 0.99% | +0.50 pts |
| #108 of 255 | [Citeables.com](https://machinerelations.ai/index/domains/citeables.com) | Community and social platform | 0.99% | +0.50 pts |
| #109 of 255 | [Cognitoforms.com](https://machinerelations.ai/index/domains/cognitoforms.com) | Other observed source | 0.99% | +0.50 pts |
| #151 of 255 | [Arasoftwares.com](https://machinerelations.ai/index/domains/arasoftwares.com) | Other observed source | 0.49% | Same rate |
| #155 of 255 | [B2bstack.com.br](https://machinerelations.ai/index/domains/b2bstack.com.br) | Other observed source | 0.49% | Same rate |

## Citation

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.

APA

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

BibTeX

```bibtex
@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}
}
```

DOI: https://doi.org/10.5281/zenodo.23652423

Citation file: https://machinerelations.ai/CITATION.cff

## Badge

Badge image: https://machinerelations.ai/index/domains/b2breviews.com/badge.svg

[![B2B Reviews in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 33,570 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/b2breviews.com/badge.svg)](https://machinerelations.ai/index/domains/b2breviews.com)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile, and the alt text says what the badge shows.

## Use the data

The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423.

```bash
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
```

```python
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"])
```

## Public Boundary

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; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)