---
title: "ABC17NEWS in the Machine Relations Index"
description: "abc17news.com appeared as a cited source in 3 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11."
canonical: "https://machinerelations.ai/index/domains/abc17news.com"
---

# ABC17NEWS in the Machine Relations Index

abc17news.com appeared as a cited source in 3 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11.

Canonical URL: https://machinerelations.ai/index/domains/abc17news.com
Canonical domain: abc17news.com
Source role: Editorial publication
Release mri_score_v2.1+2026-11-11+d52a5886914e; methodology mri_score_v2.1; generated 2026-11-11; window 2026-05-10 to 2026-11-11; artifact fecc44142bec.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 3 of 38,449
- Days cited: 3 of 179
- Engine breadth: 2 observed engines (claude, perplexity)
- 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 | 2 | 314 | 13 | 0.64% | #235 of 681 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Comparisons](https://machinerelations.ai/index/categories/healthcare-services/x_vs_y) | published | 1 | 254 | 13 | 0.39% | #224 of 387 |

## Citation History

abc17news.com was first cited in a monitored answer run on September 29, 2026, and most recently on October 6, 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 | 1 | 4,971 | 0.02% |
| October 2026 | 2 | 16,496 | 0.01% |
| November 2026 (to 2026-11-11) | 0 | 3,966 | 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 |
|---|---:|---:|---:|
| [Claude](https://machinerelations.ai/index/engines/claude) | 2 | 9,177 | 0.02% |
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 1 | 9,257 | 0.01% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 9,137 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 7,326 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,198 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,354 | 0.00% |

Since August 31, 2026, ABC17NEWS is cited in none of 992 observed Google AI Mode runs. Google AI Mode's collection changed between August 10, 2026 and August 30, 2026, so its row above pools both sides of the change.

Since October 7, 2026, ABC17NEWS is cited in none of 4,488 observed Perplexity runs. Perplexity's collection changed between October 6, 2026 and October 7, 2026, so its row above pools both sides of the change.

## Peers

ABC17NEWS holds its best segment rank, #224 of 387, in Healthcare Services / Comparisons, at 0.39%. 169 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/healthcare-services/x_vs_y

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #142 of 387 | [a3medicalbilling.com](https://machinerelations.ai/index/domains/a3medicalbilling.com) | Other observed source | 0.79% | +0.40 pts |
| #143 of 387 | [aafp.org](https://machinerelations.ai/index/domains/aafp.org) | Other observed source | 0.79% | +0.40 pts |
| #144 of 387 | [affinitycore.co](https://machinerelations.ai/index/domains/affinitycore.co) | Other observed source | 0.79% | +0.40 pts |
| #145 of 387 | [aihcp.net](https://machinerelations.ai/index/domains/aihcp.net) | Other observed source | 0.79% | +0.40 pts |
| #146 of 387 | [amjmed.com](https://machinerelations.ai/index/domains/amjmed.com) | Editorial publication | 0.79% | +0.40 pts |
| #147 of 387 | [ams-solutions.com](https://machinerelations.ai/index/domains/ams-solutions.com) | Other observed source | 0.79% | +0.40 pts |
| #223 of 387 | [ab7solutions.com](https://machinerelations.ai/index/domains/ab7solutions.com) | Other observed source | 0.39% | Same rate |
| #225 of 387 | [acemedassist.com](https://machinerelations.ai/index/domains/acemedassist.com) | Other observed source | 0.39% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. ABC17NEWS (abc17news.com), under 0.01% citation rate, 3 of 38,449 monitored answer runs, 2026-05-10 to 2026-11-11. Release mri_score_v2.1+2026-11-11+d52a5886914e. CC BY 4.0. https://machinerelations.ai/index/domains/abc17news.com

APA

Parrott, J. (2026). ABC17NEWS (abc17news.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-11+d52a5886914e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/abc17news.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriabc17newscom,
  author = {Parrott, Jaxon},
  title = {ABC17NEWS (abc17news.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-11+d52a5886914e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/abc17news.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/abc17news.com/badge.svg

[![ABC17NEWS in the Machine Relations Index: cited in under 0.01% of monitored AI answers (3 of 38,449 runs), Nov 11, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/abc17news.com/badge.svg)](https://machinerelations.ai/index/domains/abc17news.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)
- [ABC17NEWS on AuthorityTech's publication intelligence](https://authoritytech.io/publications/abc17news) — 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.