Source domain profile · Other observed source

Mlcalc.com in the Machine Relations Index

mlcalc.com appeared as a cited source in 2 of 34,788 monitored answer runs (0.01%) from 2026-05-10 to 2026-11-01.

Source site Markdown Public JSON

Citation rate0.01%

2 cited runs of 34,788 observed answer runs.

Days observed1/169

Days cited and 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 · 0.01% across 2/34,788 observed runs
Full universe: Producer rank unavailable
Source role population: Producer rank unavailable
Evidence-qualified source role: Producer rank unavailable

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 Finance	How buyers choose	Published	2	272	12	0.74%	#134 of 279	Badge

Published segments: 1. Collecting segments: 0.

Citation history

Cited runs month by month

mlcalc.com was first cited in a monitored answer run on October 20, 2026, with cited runs in 1 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
October 2026	2	16,496	0.01%
November 2026 (to 2026-11-01)	0	305	0.00%

By answer engine

Which engines cite Mlcalc.com

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	2	8,269	0.02%
ChatGPT	0	8,151	0.00%
Claude	0	8,189	0.00%
Gemini	0	6,873	0.00%
Google AI Mode	0	2,046	0.00%
Google AI Overviews	0	1,260	0.00%

Peers

Nearest sources on Consumer Finance / How buyers choose

Mlcalc.com holds its best segment rank, #134 of 279, in Consumer Finance / How buyers choose, at 0.74%. 45 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
#96 of 279	Instagram.com	Other observed source	1.10%	+0.36 pts
#97 of 279	LegalClarity	Editorial publication	1.10%	+0.36 pts
#98 of 279	Monarch.com	Other observed source	1.10%	+0.36 pts
#133 of 279	Mb.ca	Other observed source	0.74%	Same rate
#137 of 279	Peopledrivencu.org	Other observed source	0.74%	Same rate
#223 of 279	Millionmilesecrets.com	Other observed source	0.37%	-0.37 pts
#224 of 279	Moneygeek.com	Other observed source	0.37%	-0.37 pts
#225 of 279	Moneymakermagazine.com	Other observed source	0.37%	-0.37 pts

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Mlcalc.com (mlcalc.com), 0.01% citation rate, 2 of 34,788 monitored answer runs, 2026-05-10 to 2026-11-01. Release mri_score_v2.1+2026-11-01+0542f5da373e. https://machinerelations.ai/index/domains/mlcalc.com. CC BY 4.0.

APA

Parrott, J. (2026). Mlcalc.com (mlcalc.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-01+0542f5da373e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/mlcalc.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrimlcalccom,
  author = {Parrott, Jaxon},
  title = {Mlcalc.com (mlcalc.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-01+0542f5da373e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/mlcalc.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 1, 2026. The observation window runs May 10, 2026 to November 1, 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

The link goes to this profile, the alt text says what the badge shows, and the badge is live: it always shows the current release, so it changes when the release changes and returns 404 if this domain leaves the released population. The embedder decides the link’s rel attribute. To keep a fixed image, download the SVG.

HTML

<a href="https://machinerelations.ai/index/domains/mlcalc.com"><img src="https://machinerelations.ai/index/domains/mlcalc.com/badge.svg" alt="Mlcalc.com in the Machine Relations Index: 0.01% cited in monitored answer runs, 2 of 34,788 runs · Collecting. Machine Relations Research." width="422" height="64"></a>

Markdown

[![Mlcalc.com in the Machine Relations Index: 0.01% cited in monitored answer runs, 2 of 34,788 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/mlcalc.com/badge.svg)](https://machinerelations.ai/index/domains/mlcalc.com)