1 cited run of 38,449 observed answer runs.
proaptivity.com in the Machine Relations Index
proaptivity.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.
Days with a citation, of the days observed in the current release window.
Claude. This is an observed-engine list, not a per-engine rate.
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% | #159 of 197 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
proaptivity.com has been cited in one monitored answer run, on October 21, 2026, by Claude, 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
proaptivity.com holds its best segment rank, #159 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 |
|---|---|---|---|---|
| #83 of 197 | mexc.com | Vendor-owned source | 1.75% | +0.87 pts |
| #84 of 197 | niftypm.com | Other observed source | 1.75% | +0.87 pts |
| #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 | Community and social platform | 1.75% | +0.87 pts | |
| #158 of 197 | predictableprofits.com | Other observed source | 0.88% | Same rate |
| #160 of 197 | rainsalestraining.com | Other observed source | 0.88% | Same rate |
Cite this
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. proaptivity.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/proaptivity.comParrott, J. (2026). proaptivity.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/proaptivity.com https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mriproaptivitycom,
author = {Parrott, Jaxon},
title = {proaptivity.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/proaptivity.com},
doi = {10.5281/zenodo.23652423},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}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.htmlimport 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/proaptivity.com"><img src="https://machinerelations.ai/index/domains/proaptivity.com/badge.svg" alt="proaptivity.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
[](https://machinerelations.ai/index/domains/proaptivity.com)