Source domain profile · Other observed source

Hail.to in the Machine Relations Index

hail.to appeared as a cited source in 2 of 31,157 monitored answer runs (0.01%) from 2026-05-10 to 2026-10-25.

Source site Markdown Public JSON

Citation rate0.01%

2 cited runs of 31,157 observed answer runs.

Days observed2/162

Days cited and 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 · 0.01% across 2/31,157 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 the exact category/question-shape denominator. Collecting rows show sample progress only; null or missing rates are not rendered as 0%.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
Family Software	Best tools	Published	1	213	11	0.47%	#152 of 215	Badge
Family Software	How buyers choose	Published	1	204	11	0.49%	#196 of 263	Badge

Published segments: 2. Collecting segments: 0.

Citation history

Cited runs month by month

hail.to was first cited in a monitored answer run on October 9, 2026, and most recently on October 23, 2026, with cited runs in 1 of the 1 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 (to 2026-10-25)	2	13,170	0.02%

By answer engine

Which engines cite Hail.to

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
ChatGPT	2	7,155	0.03%
Claude	0	7,188	0.00%
Gemini	0	6,467	0.00%
Google AI Mode	0	1,895	0.00%
Google AI Overviews	0	1,184	0.00%
Perplexity	0	7,268	0.00%

Peers

Nearest sources on Family Software / Best tools

Hail.to holds its best segment rank, #152 of 215, in Family Software / Best tools, at 0.47%. 86 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
#106 of 215	Ecooleum.com	Other observed source	0.94%	+0.47 pts
#107 of 215	Engadget	Editorial publication	0.94%	+0.47 pts
#108 of 215	Fatherly	Editorial publication	0.94%	+0.47 pts
#109 of 215	GlobeNewswire	Wire and press-release distribution	0.94%	+0.47 pts
#110 of 215	Iphonelife.com	Other observed source	0.94%	+0.47 pts
#111 of 215	Jelliesapp.com	Other observed source	0.94%	+0.47 pts
#151 of 215	Gopioneer.com	Other observed source	0.47%	Same rate
#155 of 215	IDN Times	Editorial publication	0.47%	Same rate

Cite this

Citation

Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Hail.to (hail.to), 0.01% citation rate, 2 of 31,157 monitored answer runs, 2026-05-10 to 2026-10-25. Release mri_score_v2.1+2026-10-25+9c34b2dccc04. https://machinerelations.ai/index/domains/hail.to. CC BY 4.0.

APA

Parrott, J. (2026). Hail.to (hail.to) in the Machine Relations Index (Version mri_score_v2.1+2026-10-25+9c34b2dccc04) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/hail.to https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrihailto,
  author = {Parrott, Jaxon},
  title = {Hail.to (hail.to) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-25+9c34b2dccc04},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/hail.to},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published October 25, 2026. The observation window runs May 10, 2026 to October 25, 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 is the citation above, 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/hail.to"><img src="https://machinerelations.ai/index/domains/hail.to/badge.svg" alt="Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Hail.to (hail.to), 0.01% citation rate, 2 of 31,157 monitored answer runs, 2026-05-10 to 2026-10-25. Release mri_score_v2.1+2026-10-25+9c34b2dccc04. https://machinerelations.ai/index/domains/hail.to. CC BY 4.0." width="453" height="64"></a>

Markdown

[![Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Hail.to (hail.to), 0.01% citation rate, 2 of 31,157 monitored answer runs, 2026-05-10 to 2026-10-25. Release mri_score_v2.1+2026-10-25+9c34b2dccc04. https://machinerelations.ai/index/domains/hail.to. CC BY 4.0.](https://machinerelations.ai/index/domains/hail.to/badge.svg)](https://machinerelations.ai/index/domains/hail.to)