Source domain profile · Other observed source

sweep.io in the Machine Relations Index

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

Source site Markdown Public JSON

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

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
Sales, GTM & CRM	Top lists	Published	1	122	7	0.82%	#198 of 208	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

sweep.io has been cited in one monitored answer run, on November 5, 2026, by ChatGPT, in answers to Sales, GTM & CRM / Top lists questions. Other sources cited for Sales, GTM & CRM questions are on the Sales, GTM & CRM sources page.

Peers

Nearest sources on Sales, GTM & CRM / Top lists

sweep.io holds its best segment rank, #198 of 208, in Sales, GTM & CRM / Top lists, at 0.82%. 76 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
#125 of 208	SoftwareSuggest	Editorial publication	1.64%	+0.82 pts
#126 of 208	techjockey.com	Other observed source	1.64%	+0.82 pts
#127 of 208	TechStack Reviews	Other observed source	1.64%	+0.82 pts
#128 of 208	toolyt.com	Other observed source	1.64%	+0.82 pts
#129 of 208	upliftgtm.com	Other observed source	1.64%	+0.82 pts
#130 of 208	withsurface.com	Other observed source	1.64%	+0.82 pts
#197 of 208	supademo.com	Other observed source	0.82%	Same rate
#203 of 208	topaihubs.com	Other observed source	0.82%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. sweep.io, 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/sweep.io. CC BY 4.0.

APA

Parrott, J. (2026). sweep.io in the Machine Relations Index (Version mri_score_v2.1+2026-11-06+4a9cac5e2d8d) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/sweep.io https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrisweepio,
  author = {Parrott, Jaxon},
  title = {sweep.io 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/sweep.io},
  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.

HTML

<a href="https://machinerelations.ai/index/domains/sweep.io"><img src="https://machinerelations.ai/index/domains/sweep.io/badge.svg" alt="sweep.io 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

[![sweep.io 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/sweep.io/badge.svg)](https://machinerelations.ai/index/domains/sweep.io)