---
title: "agalopa.com in the Machine Relations Index"
description: "agalopa.com appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14."
canonical: "https://machinerelations.ai/index/domains/agalopa.com"
---

# agalopa.com in the Machine Relations Index

agalopa.com appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14.

Canonical URL: https://machinerelations.ai/index/domains/agalopa.com
Canonical domain: agalopa.com
Source role: Other observed source
Release mri_score_v2.1+2026-11-14+a5e5e37df8da; methodology mri_score_v2.1; generated 2026-11-14; window 2026-05-10 to 2026-11-14; artifact 90bc78b19db1.

## How the Site Describes Itself

> In-depth guides and comparisons for luxury skincare, ergonomic home office setups and everyday gear: what's worth buying, what to skip, and cheaper alternatives.

agalopa.com describes itself this way in the description tag on its homepage, read on November 14, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 39,509
- Days cited: 1 of 182
- Engine breadth: 1 observed engine (chatgpt)
- Confidence: Collecting
- Standing: Collecting: no rank until it clears the evidence floor

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-products/how_choose) | published | 1 | 344 | 14 | 0.29% | #366 of 711 |

## Citation Record

agalopa.com has been cited in one monitored answer run, on November 14, 2026, by ChatGPT, in answers to Consumer Products / How buyers choose questions. Other sources cited for Consumer Products questions: https://machinerelations.ai/index/categories/consumer-products

## Peers

agalopa.com holds its best segment rank, #366 of 711, in Consumer Products / How buyers choose, at 0.29%. 357 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/consumer-products/how_choose

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #248 of 711 | [ABC17NEWS](https://machinerelations.ai/index/domains/abc17news.com) | Editorial publication | 0.58% | +0.29 pts |
| #249 of 711 | [alastin.com](https://machinerelations.ai/index/domains/alastin.com) | Other observed source | 0.58% | +0.29 pts |
| #250 of 711 | [amicicoffee.co.uk](https://machinerelations.ai/index/domains/amicicoffee.co.uk) | Other observed source | 0.58% | +0.29 pts |
| #251 of 711 | [balancecoffee.co.uk](https://machinerelations.ai/index/domains/balancecoffee.co.uk) | Other observed source | 0.58% | +0.29 pts |
| #252 of 711 | [beach-street.com](https://machinerelations.ai/index/domains/beach-street.com) | Other observed source | 0.58% | +0.29 pts |
| #253 of 711 | [beanbustercoffee.com.au](https://machinerelations.ai/index/domains/beanbustercoffee.com.au) | Other observed source | 0.58% | +0.29 pts |
| #365 of 711 | [aftology.shop](https://machinerelations.ai/index/domains/aftology.shop) | Other observed source | 0.29% | Same rate |
| #367 of 711 | [allgoodbodycare.com](https://machinerelations.ai/index/domains/allgoodbodycare.com) | Other observed source | 0.29% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. agalopa.com, under 0.01% citation rate, 1 of 39,509 monitored answer runs, 2026-05-10 to 2026-11-14. Release mri_score_v2.1+2026-11-14+a5e5e37df8da. CC BY 4.0. https://machinerelations.ai/index/domains/agalopa.com

APA

Parrott, J. (2026). agalopa.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/agalopa.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriagalopacom,
  author = {Parrott, Jaxon},
  title = {agalopa.com in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-14+a5e5e37df8da},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/agalopa.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/agalopa.com/badge.svg

[![agalopa.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/agalopa.com/badge.svg)](https://machinerelations.ai/index/domains/agalopa.com)

Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today's numbers fixed, save the SVG and host it yourself.

## 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)