# Answerradar.net in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/answerradar.net
Canonical domain: answerradar.net
Source role: Other observed source
Release mri_score_v2.1+2026-10-27+06e001ee9f9a; methodology mri_score_v2.1; generated 2026-10-27; window 2026-05-10 to 2026-10-27; artifact 9964b4936fa2.

answerradar.net appeared as a cited source in 1 of 32,187 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-27.

## Overall Evidence

- Citation rate: 0.00%
- Cited runs: 1 of 32,187
- Days cited: 1 of 164
- Engine breadth: 1 observed engines (claude)
- Confidence: Collecting
- Standing: collecting · 0.00% across 1/32,187 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 | 1 | 262 | 12 | 0.38% | #334 of 594 |

## Citation Record

answerradar.net has been cited in one monitored answer run, on October 26, 2026, by Claude, in answers to AI Visibility & GEO / Best tools questions. Other sources cited for AI Visibility & GEO questions: https://machinerelations.ai/index/categories/ai-visibility-geo

## Peers

Answerradar.net holds its best segment rank, #334 of 594, in AI Visibility & GEO / Best tools, at 0.38%. 288 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/best_x

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #222 of 594 | [Answerwatch.com](https://machinerelations.ai/index/domains/answerwatch.com) | Other observed source | 0.76% | +0.38 pts |
| #223 of 594 | [Arc Intermedia](https://machinerelations.ai/index/domains/arcintermedia.com) | Other observed source | 0.76% | +0.38 pts |
| #224 of 594 | [Askairank.com](https://machinerelations.ai/index/domains/askairank.com) | Other observed source | 0.76% | +0.38 pts |
| #225 of 594 | [Axios](https://machinerelations.ai/index/domains/axios.com) | Editorial publication | 0.76% | +0.38 pts |
| #226 of 594 | [Ayrank.com](https://machinerelations.ai/index/domains/ayrank.com) | Other observed source | 0.76% | +0.38 pts |
| #227 of 594 | [Bevisible.app](https://machinerelations.ai/index/domains/bevisible.app) | Other observed source | 0.76% | +0.38 pts |
| #333 of 594 | [Answerlift.io](https://machinerelations.ai/index/domains/answerlift.io) | Other observed source | 0.38% | Same rate |
| #335 of 594 | [Answerrank.ai](https://machinerelations.ai/index/domains/answerrank.ai) | Other observed source | 0.38% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Answerradar.net (answerradar.net), 0.00% citation rate, 1 of 32,187 monitored answer runs, 2026-05-10 to 2026-10-27. Release mri_score_v2.1+2026-10-27+06e001ee9f9a. https://machinerelations.ai/index/domains/answerradar.net. CC BY 4.0.

APA

Parrott, J. (2026). Answerradar.net (answerradar.net) in the Machine Relations Index (Version mri_score_v2.1+2026-10-27+06e001ee9f9a) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/answerradar.net https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrianswerradarnet,
  author = {Parrott, Jaxon},
  title = {Answerradar.net (answerradar.net) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-27+06e001ee9f9a},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/answerradar.net},
  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/answerradar.net/badge.svg

[![Answerradar.net in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 32,187 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/answerradar.net/badge.svg)](https://machinerelations.ai/index/domains/answerradar.net)

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)