Machine Relations Index

Source domain profile · Other observed source

ecomtent.ai in the Machine Relations Index

ecomtent.ai appeared as a cited source in 1 of 36,708 monitored answer runs (under 0.01%) from May 10, 2026 to November 6, 2026.

Self-description

How the site describes itself

Helping Sellers and Retailers win in the era of AI-powered conversational search, by generating optimized visual and written product listing content. Optimize for Amazon RUFUS, COSMO, ChatGPT Search, and more at speed and scale

ecomtent.ai describes itself this way in the description tag on its homepage, read on November 2, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

Citation rateunder 0.01%

1 cited run of 36,708 observed answer runs.

Days cited1/174

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

Engine breadth1

Google AI Mode. 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.

CategoryQuestion shapeStateCited runsObserved runsRun datesRateRank populationBadge
AI Visibility & GEOHow buyers choosePublished1282130.35%#406 of 699Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

ecomtent.ai has been cited in one monitored answer run, on November 2, 2026, by Google AI Mode, in answers to AI Visibility & GEO / How buyers choose questions. Other sources cited for AI Visibility & GEO questions are on the AI Visibility & GEO sources page.

Peers

Nearest sources on AI Visibility & GEO / How buyers choose

ecomtent.ai holds its best segment rank, #406 of 699, in AI Visibility & GEO / How buyers choose, at 0.35%. 399 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.

RankSourceSource roleSegment citation rateAgainst this source
#213 of 699devopsschool.comOther observed source0.71%+0.36 pts
#214 of 699digitaljuicesolutions.com.auOther observed source0.71%+0.36 pts
#215 of 699editage.comEditorial publication0.71%+0.36 pts
#216 of 699eesel.aiOther observed source0.71%+0.36 pts
#217 of 699emarketer.comMarket and company database0.71%+0.36 pts
#218 of 699facebook.comCommunity and social platform0.71%+0.36 pts
#405 of 699echloe.ioOther observed source0.35%Same rate
#407 of 699edgewood.eduAcademic and government source0.35%Same rate
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. ecomtent.ai, under 0.01% citation rate, 1 of 36,708 monitored answer runs, 2026-05-10 to 2026-11-06. Release mri_score_v2.1+2026-11-06+4a9cac5e2d8d. https://machinerelations.ai/index/domains/ecomtent.ai. CC BY 4.0.
APA
Parrott, J. (2026). ecomtent.ai in the Machine Relations Index (Version mri_score_v2.1+2026-11-06+4a9cac5e2d8d) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/ecomtent.ai https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mriecomtentai,
  author = {Parrott, Jaxon},
  title = {ecomtent.ai in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-06+4a9cac5e2d8d},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/ecomtent.ai},
  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 6, 2026. The observation window runs May 10, 2026 to November 6, 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.

ecomtent.ai in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 36,708 runs), Nov 6, 2026 release. Machine Relations Research.

HTML

<a href="https://machinerelations.ai/index/domains/ecomtent.ai"><img src="https://machinerelations.ai/index/domains/ecomtent.ai/badge.svg" alt="ecomtent.ai in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 36,708 runs), Nov 6, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![ecomtent.ai in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 36,708 runs), Nov 6, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/ecomtent.ai/badge.svg)](https://machinerelations.ai/index/domains/ecomtent.ai)