1 cited run of 36,708 observed answer runs.
Source domain profile · Other observed source
speedspin.com in the Machine Relations Index
speedspin.com appeared as a cited source in 1 of 36,708 monitored answer runs (under 0.01%) from May 10, 2026 to November 6, 2026.
Days with a citation, of the 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: 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 |
|---|---|---|---|---|---|---|---|---|
| iGaming & Betting | How buyers choose | Published | 1 | 190 | 11 | 0.53% | #250 of 269 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
speedspin.com has been cited in one monitored answer run, on September 21, 2026, by Perplexity, in answers to iGaming & Betting / How buyers choose questions. Other sources cited for iGaming & Betting questions are on the iGaming & Betting sources page.
Peers
Nearest sources on iGaming & Betting / How buyers choose
speedspin.com holds its best segment rank, #250 of 269, in iGaming & Betting / How buyers choose, at 0.53%. 116 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 |
|---|---|---|---|---|
| #145 of 269 | startonlinecasino.net | Other observed source | 1.05% | +0.52 pts |
| #146 of 269 | talkSPORT | Editorial publication | 1.05% | +0.52 pts |
| #147 of 269 | tekedia.com | Other observed source | 1.05% | +0.52 pts |
| #148 of 269 | The South African | Other observed source | 1.05% | +0.52 pts |
| #149 of 269 | tigcasino.com | Other observed source | 1.05% | +0.52 pts |
| #150 of 269 | tiggames.com | Other observed source | 1.05% | +0.52 pts |
| #248 of 269 | slotozilla.com | Other observed source | 0.53% | Same rate |
| #252 of 269 | sportingsolutions.com | Other observed source | 0.53% | Same rate |
Cite this
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. speedspin.com, 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/speedspin.com. CC BY 4.0.Parrott, J. (2026). speedspin.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-06+4a9cac5e2d8d) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/speedspin.com https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mrispeedspincom,
author = {Parrott, Jaxon},
title = {speedspin.com 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/speedspin.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 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.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/speedspin.com"><img src="https://machinerelations.ai/index/domains/speedspin.com/badge.svg" alt="speedspin.com 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
[](https://machinerelations.ai/index/domains/speedspin.com)