# ABC News in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/abcnews.com
Canonical domain: abcnews.com
Source role: Editorial publication
Release mri_score_v2.1+2026-10-24+e479e9b12312; methodology mri_score_v2.1; generated 2026-10-24; window 2026-05-10 to 2026-10-24; artifact e479e9b12312.

abcnews.com appeared as a cited source in 9 of 30,766 monitored answer runs (0.03%) from 2026-05-10 to 2026-10-24.

## How the Site Describes Itself

> Your trusted source for breaking news, analysis, exclusive interviews, headlines, and videos at ABCNews.com

abcnews.com describes itself this way in the description tag on its homepage, read on October 21, 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: 9 of 30,766
- Days cited: 4 of 161
- Engine breadth: 1 observed engines (perplexity)
- Confidence: Collecting
- Standing: collecting · 0.03% across 9/30,766 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Problem-first research](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | published | 7 | 224 | 11 | 3.13% | #31 of 467 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | published | 1 | 243 | 11 | 0.41% | #155 of 324 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Is it worth it](https://machinerelations.ai/index/categories/healthcare-services/is_x_worth) | published | 1 | 187 | 10 | 0.53% | #183 of 311 |

## Citation History

abcnews.com was first cited in a monitored answer run on September 27, 2026, and most recently on October 5, 2026, with cited runs in 2 of the 2 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 | 3 | 4,971 | 0.06% |
| October 2026 (to 2026-10-24) | 6 | 12,779 | 0.05% |

## 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 |
|---|---:|---:|---:|
| Perplexity | 9 | 7,158 | 0.13% |
| ChatGPT | 0 | 7,045 | 0.00% |
| Claude | 0 | 7,078 | 0.00% |
| Gemini | 0 | 6,447 | 0.00% |
| Google AI Mode | 0 | 1,866 | 0.00% |
| Google AI Overviews | 0 | 1,172 | 0.00% |

## Peers

ABC News holds its best segment rank, #31 of 467, in AI Security & Privacy / Problem-first research, at 3.13%. 9 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-security-privacy/problem_first

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #23 of 467 | [Accuknox.com](https://machinerelations.ai/index/domains/accuknox.com) | Other observed source | 4.02% | +0.89 pts |
| #29 of 467 | [Codeables.dev](https://machinerelations.ai/index/domains/codeables.dev) | Community and social platform | 3.57% | +0.44 pts |
| #30 of 467 | [Kommunicate.io](https://machinerelations.ai/index/domains/kommunicate.io) | Other observed source | 3.57% | +0.44 pts |
| #32 of 467 | [Datafence.ai](https://machinerelations.ai/index/domains/datafence.ai) | Other observed source | 3.13% | Same rate |
| #40 of 467 | [Acronis.com](https://machinerelations.ai/index/domains/acronis.com) | Other observed source | 2.68% | -0.45 pts |
| #41 of 467 | [Cybernews](https://machinerelations.ai/index/domains/cybernews.com) | Editorial publication | 2.68% | -0.45 pts |
| #42 of 467 | [Cyber Security News](https://machinerelations.ai/index/domains/cybersecuritynews.com) | Editorial publication | 2.68% | -0.45 pts |

## Citation

ABC News (abcnews.com), 0.03% citation rate, 9 of 30,766 monitored answer runs, 2026-05-10 to 2026-10-24, mri_score_v2.1, mri_score_v2.1+2026-10-24+e479e9b12312, https://machinerelations.ai/index/domains/abcnews.com.

## Badge

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

[![ABC News (abcnews.com), 0.03% citation rate, 9 of 30,766 monitored answer runs, 2026-05-10 to 2026-10-24, mri_score_v2.1, mri_score_v2.1+2026-10-24+e479e9b12312, https://machinerelations.ai/index/domains/abcnews.com.](https://machinerelations.ai/index/domains/abcnews.com/badge.svg)](https://machinerelations.ai/index/domains/abcnews.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)
- [ABC News on AuthorityTech's publication intelligence](https://authoritytech.io/publications/abcnews) — 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.