1 cited runs of 35,433 observed answer runs.
Source domain profile · Other observed source
Passdepth.com in the Machine Relations Index
passdepth.com appeared as a cited source in 1 of 35,433 monitored answer runs (0.00%) from 2026-05-10 to 2026-11-03.
Days cited and days observed in the current release window.
Perplexity. 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 · 0.00% across 1/35,433 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 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 |
|---|---|---|---|---|---|---|---|---|
| Emergent Prosumer | How buyers choose | Published | 1 | 223 | 12 | 0.45% | #304 of 356 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
passdepth.com has been cited in one monitored answer run, on October 30, 2026, by Perplexity, in answers to Emergent Prosumer / How buyers choose questions. Other sources cited for Emergent Prosumer questions are on the Emergent Prosumer sources page.
Peers
Nearest sources on Emergent Prosumer / How buyers choose
Passdepth.com holds its best segment rank, #304 of 356, in Emergent Prosumer / How buyers choose, at 0.45%. 173 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 |
|---|---|---|---|---|
| #170 of 356 | Propelrc.com | Other observed source | 0.90% | +0.45 pts |
| #171 of 356 | Reviewed | Editorial publication | 0.90% | +0.45 pts |
| #172 of 356 | Rosenberryrooms.com | Other observed source | 0.90% | +0.45 pts |
| #173 of 356 | Sagaris.ai | Other observed source | 0.90% | +0.45 pts |
| #174 of 356 | Screenapp.io | Other observed source | 0.90% | +0.45 pts |
| #175 of 356 | Sdgloballaser.com | Other observed source | 0.90% | +0.45 pts |
| #302 of 356 | Owll.ai | Other observed source | 0.45% | Same rate |
| #305 of 356 | Philadelphiachildcare.org | Other observed source | 0.45% | Same rate |
Cite this
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Passdepth.com (passdepth.com), 0.00% citation rate, 1 of 35,433 monitored answer runs, 2026-05-10 to 2026-11-03. Release mri_score_v2.1+2026-11-03+92e5b18cc6e2. https://machinerelations.ai/index/domains/passdepth.com. CC BY 4.0.Parrott, J. (2026). Passdepth.com (passdepth.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-03+92e5b18cc6e2) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/passdepth.com https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mripassdepthcom,
author = {Parrott, Jaxon},
title = {Passdepth.com (passdepth.com) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-11-03+92e5b18cc6e2},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/passdepth.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 3, 2026. The observation window runs May 10, 2026 to November 3, 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
The link goes to this profile, the alt text says what the badge shows, 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/passdepth.com"><img src="https://machinerelations.ai/index/domains/passdepth.com/badge.svg" alt="Passdepth.com in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 35,433 runs · Collecting. Machine Relations Research." width="446" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/passdepth.com)