Source domain profile · Other observed source

revalign.io in the Machine Relations Index

revalign.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

Self-description

How the site describes itself

Research, AI search, outbound, and revenue infrastructure, run by one team as one system for early-stage B2B startups.

revalign.io describes itself this way in the description tag on its homepage, read on November 1, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

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

Google AI Overviews. 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	Is it worth it	Published	1	122	7	0.82%	#154 of 189	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

revalign.io has been cited in one monitored answer run, on October 14, 2026, by Google AI Overviews, in answers to Sales, GTM & CRM / Is it worth it questions. Other sources cited for Sales, GTM & CRM questions are on the Sales, GTM & CRM sources page.

Peers

Nearest sources on Sales, GTM & CRM / Is it worth it

revalign.io holds its best segment rank, #154 of 189, in Sales, GTM & CRM / Is it worth it, at 0.82%. 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
#83 of 189	LinkedIn	Community and social platform	1.64%	+0.82 pts
#84 of 189	marketsplash.com	Other observed source	1.64%	+0.82 pts
#85 of 189	marqops.com	Other observed source	1.64%	+0.82 pts
#86 of 189	mm-ais.com	Other observed source	1.64%	+0.82 pts
#87 of 189	naoma.ai	Other observed source	1.64%	+0.82 pts
#88 of 189	nethunt.com	Other observed source	1.64%	+0.82 pts
#153 of 189	remotereps.com	Other observed source	0.82%	Same rate
#155 of 189	revbots.ai	Other observed source	0.82%	Same rate

Cite this

Citation

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

APA

Parrott, J. (2026). revalign.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/revalign.io https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrirevalignio,
  author = {Parrott, Jaxon},
  title = {revalign.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/revalign.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/revalign.io"><img src="https://machinerelations.ai/index/domains/revalign.io/badge.svg" alt="revalign.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

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