Source domain profile · Other observed source

amavara.com in the Machine Relations Index

amavara.com appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from May 10, 2026 to November 14, 2026.

Source site Markdown Public JSON

Citation rateunder 0.01%

1 cited run of 39,509 observed answer runs.

Days cited1/182

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

Engine breadth1

ChatGPT. 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 Products	How buyers choose	Published	1	344	14	0.29%	#368 of 711	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

amavara.com has been cited in one monitored answer run, on October 13, 2026, by ChatGPT, in answers to Consumer Products / How buyers choose questions. Other sources cited for Consumer Products questions are on the Consumer Products sources page.

Peers

Nearest sources on Consumer Products / How buyers choose

amavara.com holds its best segment rank, #368 of 711, in Consumer Products / How buyers choose, at 0.29%. 357 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
#249 of 711	alastin.com	Other observed source	0.58%	+0.29 pts
#250 of 711	amicicoffee.co.uk	Other observed source	0.58%	+0.29 pts
#251 of 711	balancecoffee.co.uk	Other observed source	0.58%	+0.29 pts
#252 of 711	beach-street.com	Other observed source	0.58%	+0.29 pts
#253 of 711	beanbustercoffee.com.au	Other observed source	0.58%	+0.29 pts
#254 of 711	behrhaus.com	Other observed source	0.58%	+0.29 pts
#367 of 711	allgoodbodycare.com	Other observed source	0.29%	Same rate
#369 of 711	amelies.co.nz	Other observed source	0.29%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. amavara.com, under 0.01% citation rate, 1 of 39,509 monitored answer runs, 2026-05-10 to 2026-11-14. Release mri_score_v2.1+2026-11-14+a5e5e37df8da. CC BY 4.0. https://machinerelations.ai/index/domains/amavara.com

APA

Parrott, J. (2026). amavara.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/amavara.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mriamavaracom,
  author = {Parrott, Jaxon},
  title = {amavara.com in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-14+a5e5e37df8da},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/amavara.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 14, 2026. The observation window runs May 10, 2026 to November 14, 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/amavara.com"><img src="https://machinerelations.ai/index/domains/amavara.com/badge.svg" alt="amavara.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![amavara.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/amavara.com/badge.svg)](https://machinerelations.ai/index/domains/amavara.com)