---
title: "Onrec.com in the Machine Relations Index"
description: "Canonical domain: onrec.com"
canonical: "https://machinerelations.ai/index/domains/onrec.com"
---

# Onrec.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/onrec.com
Canonical domain: onrec.com
Source role: Other observed source
Release mri_score_v2.1+2026-11-01+0542f5da373e; methodology mri_score_v2.1; generated 2026-11-01; window 2026-05-10 to 2026-11-01; artifact 153bff98106d.

onrec.com appeared as a cited source in 13 of 34,788 monitored answer runs (0.04%) from 2026-05-10 to 2026-11-01.

## How the Site Describes Itself

> Discover recruitment and HR news, expert insights, AI trends, job boards, suppliers and events. Connect with the recruitment community through Onrec.

onrec.com describes itself this way in the description tag on its homepage, read on October 21, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: 0.04%
- Cited runs: 13 of 34,788
- Days cited: 8 of 169
- Engine breadth: 2 observed engines (chatgpt, perplexity)
- Confidence: Collecting
- Standing: collecting · 0.04% across 13/34,788 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Best tools](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | published | 4 | 262 | 12 | 1.53% | #155 of 594 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [How buyers choose](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | published | 1 | 259 | 12 | 0.39% | #526 of 673 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Is it worth it](https://machinerelations.ai/index/categories/ai-visibility-geo/is_x_worth) | published | 2 | 284 | 12 | 0.70% | #282 of 684 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [How buyers choose](https://machinerelations.ai/index/categories/education-training/how_choose) | published | 3 | 258 | 12 | 1.16% | #136 of 390 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Best tools](https://machinerelations.ai/index/categories/hr-talent/best_x) | published | 1 | 217 | 11 | 0.46% | #214 of 261 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Problem-first research](https://machinerelations.ai/index/categories/hr-talent/problem_first) | published | 2 | 199 | 11 | 1.01% | #153 of 316 |

## Citation History

onrec.com was first cited in a monitored answer run on September 27, 2026, and most recently on October 29, 2026, with cited runs in 2 of the 3 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 |
|---|---:|---:|---:|
| September 2026 | 4 | 4,971 | 0.08% |
| October 2026 | 9 | 16,496 | 0.05% |
| November 2026 (to 2026-11-01) | 0 | 305 | 0.00% |

## By Answer Engine

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](https://machinerelations.ai/index/engines/perplexity) | 11 | 8,269 | 0.13% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 2 | 8,151 | 0.02% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 8,189 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,873 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,046 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,260 | 0.00% |

## Peers

Onrec.com holds its best segment rank, #136 of 390, in Education & Training / How buyers choose, at 1.16%. 43 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/education-training/how_choose

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #97 of 390 | [Msicertified.com](https://machinerelations.ai/index/domains/msicertified.com) | Market and company database | 1.55% | +0.39 pts |
| #98 of 390 | [Quickstart.com](https://machinerelations.ai/index/domains/quickstart.com) | Other observed source | 1.55% | +0.39 pts |
| #99 of 390 | [Scalekit.com](https://machinerelations.ai/index/domains/scalekit.com) | Other observed source | 1.55% | +0.39 pts |
| #135 of 390 | [Need2succeed.co.uk](https://machinerelations.ai/index/domains/need2succeed.co.uk) | Other observed source | 1.16% | Same rate |
| #137 of 390 | [People Development Magazine](https://machinerelations.ai/index/domains/peopledevelopmentmagazine.com) | Editorial publication | 1.16% | Same rate |
| #193 of 390 | [Mandated Reporter Training](https://machinerelations.ai/index/domains/mandatedreportertraining.com) | Academic and government source | 0.78% | -0.38 pts |
| #194 of 390 | [Project Templates](https://machinerelations.ai/index/domains/projectmanagertemplate.com) | Editorial publication | 0.78% | -0.38 pts |
| #195 of 390 | [Rippling.com](https://machinerelations.ai/index/domains/rippling.com) | Vendor-owned source | 0.78% | -0.38 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Onrec.com (onrec.com), 0.04% citation rate, 13 of 34,788 monitored answer runs, 2026-05-10 to 2026-11-01. Release mri_score_v2.1+2026-11-01+0542f5da373e. https://machinerelations.ai/index/domains/onrec.com. CC BY 4.0.

APA

Parrott, J. (2026). Onrec.com (onrec.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-01+0542f5da373e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/onrec.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrionreccom,
  author = {Parrott, Jaxon},
  title = {Onrec.com (onrec.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-01+0542f5da373e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/onrec.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/onrec.com/badge.svg

[![Onrec.com in the Machine Relations Index: 0.04% cited in monitored answer runs, 13 of 34,788 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/onrec.com/badge.svg)](https://machinerelations.ai/index/domains/onrec.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)