# Supermarket News in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/supermarketnews.com
Canonical domain: supermarketnews.com
Source role: Editorial publication
Release mri_score_v2.1+2026-10-26+ff67a630fa8e; methodology mri_score_v2.1; generated 2026-10-26; window 2026-05-10 to 2026-10-26; artifact b37ddb40c879.

supermarketnews.com appeared as a cited source in 1 of 31,659 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-26.

## How the Site Describes Itself

> Supermarket News is the brand food-retail professionals count on for competitive intelligence, news, and information to make smart business decisions.

supermarketnews.com describes itself this way in the description tag on its homepage, read on October 25, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: 0.00%
- Cited runs: 1 of 31,659
- Days cited: 1 of 163
- Engine breadth: 1 observed engines (perplexity)
- Confidence: Collecting
- Standing: collecting · 0.00% across 1/31,659 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) | [Top lists](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | published | 1 | 212 | 12 | 0.47% | #727 of 809 |

## Citation Record

supermarketnews.com has been cited in one monitored answer run, on September 25, 2026, by Perplexity, in answers to AI Visibility & GEO / Top lists questions. Other sources cited for AI Visibility & GEO questions: https://machinerelations.ai/index/categories/ai-visibility-geo

## Peers

Supermarket News holds its best segment rank, #727 of 809, in AI Visibility & GEO / Top lists, at 0.47%. 460 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/ai-visibility-geo/top_list

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #320 of 809 | [Sourcewatch.ai](https://machinerelations.ai/index/domains/sourcewatch.ai) | Other observed source | 0.94% | +0.47 pts |
| #321 of 809 | [Spawned.com](https://machinerelations.ai/index/domains/spawned.com) | Other observed source | 0.94% | +0.47 pts |
| #322 of 809 | [Sproutsocial.com](https://machinerelations.ai/index/domains/sproutsocial.com) | Other observed source | 0.94% | +0.47 pts |
| #323 of 809 | [Storychief.io](https://machinerelations.ai/index/domains/storychief.io) | Vendor-owned source | 0.94% | +0.47 pts |
| #324 of 809 | [Straightnorth.com](https://machinerelations.ai/index/domains/straightnorth.com) | Other observed source | 0.94% | +0.47 pts |
| #325 of 809 | [Superlines.io](https://machinerelations.ai/index/domains/superlines.io) | Other observed source | 0.94% | +0.47 pts |
| #721 of 809 | [Spaak.ai](https://machinerelations.ai/index/domains/spaak.ai) | Other observed source | 0.47% | Same rate |
| #728 of 809 | [Suprmind.ai](https://machinerelations.ai/index/domains/suprmind.ai) | Other observed source | 0.47% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Supermarket News (supermarketnews.com), 0.00% citation rate, 1 of 31,659 monitored answer runs, 2026-05-10 to 2026-10-26. Release mri_score_v2.1+2026-10-26+ff67a630fa8e. https://machinerelations.ai/index/domains/supermarketnews.com. CC BY 4.0.

APA

Parrott, J. (2026). Supermarket News (supermarketnews.com) in the Machine Relations Index (Version mri_score_v2.1+2026-10-26+ff67a630fa8e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/supermarketnews.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrisupermarketnewscom,
  author = {Parrott, Jaxon},
  title = {Supermarket News (supermarketnews.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-26+ff67a630fa8e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/supermarketnews.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/supermarketnews.com/badge.svg

[![Supermarket News in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 31,659 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/supermarketnews.com/badge.svg)](https://machinerelations.ai/index/domains/supermarketnews.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)
- [Supermarket News on AuthorityTech's publication intelligence](https://authoritytech.io/publications/supermarketnews) — part of the AuthorityTech publication intelligence projection. Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.