Source domain profile · Other observed source

NetNewsLedger in the Machine Relations Index

netnewsledger.com appeared as a cited source in 3 of 36,189 monitored answer runs (under 0.01%) from May 10, 2026 to November 5, 2026.

Source site Markdown Public JSON

Citation rateunder 0.01%

3 cited runs of 36,189 observed answer runs.

Days cited3/173

Days with a citation, of the days observed in the current release window.

Engine breadth1

Perplexity. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: Collecting: no rank until it clears the evidence floor
Full universe: Not ranked in this release
Source role population: Not ranked in this release
Evidence-qualified source role: Not ranked in this release

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
Consumer Health	Top lists	Published	3	302	13	0.99%	#229 of 540	Badge

Published segments: 1. Collecting segments: 0.

Citation history

Cited runs month by month

netnewsledger.com was first cited in a monitored answer run on September 28, 2026, and most recently on October 20, 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 November 5, 2026)	0	1,706	0.00%

By answer engine

Which engines cite NetNewsLedger

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	3	8,663	0.03%
ChatGPT	0	8,545	0.00%
Claude	0	8,583	0.00%
Gemini	0	6,987	0.00%
Google AI Mode	0	2,114	0.00%
Google AI Overviews	0	1,297	0.00%

Since August 31, 2026, NetNewsLedger is cited in none of 908 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.

Peers

Nearest sources on Consumer Health / Top lists

NetNewsLedger holds its best segment rank, #229 of 540, in Consumer Health / Top lists, at 0.99%. 53 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. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#180 of 540	osu.edu	Academic and government source	1.32%	+0.33 pts
#181 of 540	prohealth.com	Other observed source	1.32%	+0.33 pts
#182 of 540	redmondequine.com	Other observed source	1.32%	+0.33 pts
#227 of 540	lifetime.life	Other observed source	0.99%	Same rate
#233 of 540	papildupasaulis.lt	Other observed source	0.99%	Same rate
#298 of 540	organicmuscle.com	Other observed source	0.66%	-0.33 pts
#299 of 540	pacifiko.com	Other observed source	0.66%	-0.33 pts
#300 of 540	pharmeasy.in	Other observed source	0.66%	-0.33 pts

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. NetNewsLedger (netnewsledger.com), under 0.01% citation rate, 3 of 36,189 monitored answer runs, 2026-05-10 to 2026-11-05. Release mri_score_v2.1+2026-11-05+66c560c07279. https://machinerelations.ai/index/domains/netnewsledger.com. CC BY 4.0.

APA

Parrott, J. (2026). NetNewsLedger (netnewsledger.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-05+66c560c07279) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/netnewsledger.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrinetnewsledgercom,
  author = {Parrott, Jaxon},
  title = {NetNewsLedger (netnewsledger.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-05+66c560c07279},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/netnewsledger.com},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published November 5, 2026. The observation window runs May 10, 2026 to November 5, 2026. Methodology v2.1.

Use the data

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

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"])

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, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

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.

HTML

<a href="https://machinerelations.ai/index/domains/netnewsledger.com"><img src="https://machinerelations.ai/index/domains/netnewsledger.com/badge.svg" alt="NetNewsLedger in the Machine Relations Index: cited in under 0.01% of monitored AI answers (3 of 36,189 runs), Nov 5, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![NetNewsLedger in the Machine Relations Index: cited in under 0.01% of monitored AI answers (3 of 36,189 runs), Nov 5, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/netnewsledger.com/badge.svg)](https://machinerelations.ai/index/domains/netnewsledger.com)