Source domain profile · Other observed source

saaschecks.com in the Machine Relations Index

saaschecks.com appeared as a cited source in 1 of 38,449 monitored answer runs (under 0.01%) from May 10, 2026 to November 11, 2026.

Source site Markdown Public JSON

Citation rateunder 0.01%

1 cited run of 38,449 observed answer runs.

Days cited1/179

Days with a citation, of the 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: 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	How buyers choose	Published	1	114	7	0.88%	#165 of 197	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

saaschecks.com has been cited in one monitored answer run, on November 5, 2026, by Perplexity, in answers to Sales, GTM & CRM / How buyers choose questions. Other sources cited for Sales, GTM & CRM questions are on the Sales, GTM & CRM sources page.

Peers

Nearest sources on Sales, GTM & CRM / How buyers choose

saaschecks.com holds its best segment rank, #165 of 197, in Sales, GTM & CRM / How buyers choose, at 0.88%. 100 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
#85 of 197	prolifiq.com	Other observed source	1.75%	+0.87 pts
#86 of 197	prometheusagency.co	Other observed source	1.75%	+0.87 pts
#87 of 197	pulserevops.com	Other observed source	1.75%	+0.87 pts
#88 of 197	Reddit	Community and social platform	1.75%	+0.87 pts
#89 of 197	revenuedirectory.com	Other observed source	1.75%	+0.87 pts
#90 of 197	rework.com	Other observed source	1.75%	+0.87 pts
#164 of 197	saasbuyerguide.com	Editorial publication	0.88%	Same rate
#166 of 197	saaszap.com	Other observed source	0.88%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. saaschecks.com, under 0.01% citation rate, 1 of 38,449 monitored answer runs, 2026-05-10 to 2026-11-11. Release mri_score_v2.1+2026-11-11+d52a5886914e. CC BY 4.0. https://machinerelations.ai/index/domains/saaschecks.com

APA

Parrott, J. (2026). saaschecks.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-11+d52a5886914e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/saaschecks.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrisaascheckscom,
  author = {Parrott, Jaxon},
  title = {saaschecks.com in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-11+d52a5886914e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/saaschecks.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 11, 2026. The observation window runs May 10, 2026 to November 11, 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/saaschecks.com"><img src="https://machinerelations.ai/index/domains/saaschecks.com/badge.svg" alt="saaschecks.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 38,449 runs), Nov 11, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![saaschecks.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 38,449 runs), Nov 11, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/saaschecks.com/badge.svg)](https://machinerelations.ai/index/domains/saaschecks.com)