# Logicalrefer.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/logicalrefer.com
Canonical domain: logicalrefer.com
Source role: Market and company database
Release mri_score_v2.1+2026-10-25+9c34b2dccc04; methodology mri_score_v2.1; generated 2026-10-25; window 2026-05-10 to 2026-10-25; artifact 9f1a507f84e8.

logicalrefer.com appeared as a cited source in 8 of 31,157 monitored answer runs (0.03%) from 2026-05-10 to 2026-10-25.

## How the Site Describes Itself

> Honest product comparisons and reviews of the best business tools. We test and compare software so you can make smarter buying decisions.

logicalrefer.com describes itself this way in the description tag on its homepage, read on October 22, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: 0.03%
- Cited runs: 8 of 31,157
- Days cited: 5 of 162
- Engine breadth: 1 observed engines (chatgpt)
- Confidence: Collecting
- Standing: collecting · 0.03% across 8/31,157 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 1 | 216 | 11 | 0.46% | #282 of 370 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [How buyers choose](https://machinerelations.ai/index/categories/hr-talent/how_choose) | published | 3 | 174 | 10 | 1.72% | #114 of 326 |
| [Martech & Advertising](https://machinerelations.ai/index/categories/martech-advertising) | [Top lists](https://machinerelations.ai/index/categories/martech-advertising/top_list) | collecting | 4 | 76 | 6 | Unavailable | Collecting observations; no mature rank |

## Citation History

logicalrefer.com was first cited in a monitored answer run on October 3, 2026, and most recently on October 21, 2026, with cited runs in 1 of the 1 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 |
|---|---:|---:|---:|
| October 2026 (to 2026-10-25) | 8 | 13,170 | 0.06% |

## 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 |
|---|---:|---:|---:|
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 8 | 7,155 | 0.11% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 7,188 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,467 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 1,895 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,184 | 0.00% |
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 0 | 7,268 | 0.00% |

## Peers

Logicalrefer.com holds its best segment rank, #114 of 326, in HR & Talent / How buyers choose, at 1.72%. 31 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/how_choose

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #84 of 326 | [Lattice.com](https://machinerelations.ai/index/domains/lattice.com) | Vendor-owned source | 2.30% | +0.58 pts |
| #85 of 326 | [Leonar.app](https://machinerelations.ai/index/domains/leonar.app) | Other observed source | 2.30% | +0.58 pts |
| #86 of 326 | [Randstad.com](https://machinerelations.ai/index/domains/randstad.com) | Other observed source | 2.30% | +0.58 pts |
| #111 of 326 | [Joveo.com](https://machinerelations.ai/index/domains/joveo.com) | Vendor-owned source | 1.72% | Same rate |
| #117 of 326 | [Qonir.com](https://machinerelations.ai/index/domains/qonir.com) | Other observed source | 1.72% | Same rate |
| #161 of 326 | [Moveworks.com](https://machinerelations.ai/index/domains/moveworks.com) | Other observed source | 1.15% | -0.57 pts |
| #162 of 326 | [Nexarapublish.org](https://machinerelations.ai/index/domains/nexarapublish.org) | Academic and government source | 1.15% | -0.57 pts |
| #163 of 326 | [Peoplebox.ai](https://machinerelations.ai/index/domains/peoplebox.ai) | Vendor-owned source | 1.15% | -0.57 pts |

## Citation

Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Logicalrefer.com (logicalrefer.com), 0.03% citation rate, 8 of 31,157 monitored answer runs, 2026-05-10 to 2026-10-25. Release mri_score_v2.1+2026-10-25+9c34b2dccc04. https://machinerelations.ai/index/domains/logicalrefer.com. CC BY 4.0.

APA

Parrott, J. (2026). Logicalrefer.com (logicalrefer.com) in the Machine Relations Index (Version mri_score_v2.1+2026-10-25+9c34b2dccc04) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/logicalrefer.com

BibTeX

```bibtex
@misc{parrott2026mrilogicalrefercom,
  author = {Parrott, Jaxon},
  title = {Logicalrefer.com (logicalrefer.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-25+9c34b2dccc04},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/logicalrefer.com},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai}
}
```

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

## Badge

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

[![Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Logicalrefer.com (logicalrefer.com), 0.03% citation rate, 8 of 31,157 monitored answer runs, 2026-05-10 to 2026-10-25. Release mri_score_v2.1+2026-10-25+9c34b2dccc04. https://machinerelations.ai/index/domains/logicalrefer.com. CC BY 4.0.](https://machinerelations.ai/index/domains/logicalrefer.com/badge.svg)](https://machinerelations.ai/index/domains/logicalrefer.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 is the citation above.

## 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)