Machine Relations Index

iGaming & Betting · Machine Relations Index category

Which sources AI engines cite for iGaming & Betting questions

Editorial publications earn 42.8% of classified citations in iGaming & Betting answers (620 of 1,449), as of November 2, 2026.

In the November 2026 release of the Machine Relations Index, these are the sources AI answer engines cited most often for each of the 6 iGaming & Betting question shapes, each ranked on that shape's own observed runs. This category has 6 observed question-shape segments in the current public release. Each segment keeps its own observed-run denominator and dates; this page does not average rates across shapes. Observed runs are answer runs, not questions: every segment repeats a small set of distinct questions across engines and dates, so a run count is not a count of independent questions.

Top sources by question shape

The sources engines cite most, shape by shape

A rate is the share of the shape's observed answer runs that cited the source; rank is the source's place on that shape's full leaderboard.

Best tools

Example pattern: best igaming betting tools. 209 observed runs across 11 dates.

RankSourceSource roleCitation rateCited runs
#1 of 264Tigsportsbook.comOther observed source20.10%42 of 209
#2 of 264Altenar.comOther observed source18.18%38 of 209
#3 of 264Bestsportsbooksoftware.comOther observed source16.27%34 of 209
#4 of 264LinkedInCommunity and social platform16.27%34 of 209
#5 of 264Igamingpaymentsolutions.comOther observed source15.79%33 of 209

Full Best tools leaderboard, 264 sources

How buyers choose

Example pattern: how to choose igaming betting tools. 190 observed runs across 11 dates.

RankSourceSource roleCitation rateCited runs
#1 of 269Track360.ioOther observed source19.47%37 of 190
#2 of 269Jadexconsulting.comOther observed source18.95%36 of 190
#3 of 269Gammastack.comOther observed source13.68%26 of 190
#4 of 269YogonetEditorial publication10.53%20 of 190
#5 of 269Softswiss.comOther observed source10.00%19 of 190

Full How buyers choose leaderboard, 269 sources

Is it worth it

Example pattern: is igaming betting software worth it. 191 observed runs across 11 dates.

RankSourceSource roleCitation rateCited runs
#1 of 239Track360.ioOther observed source31.94%61 of 191
#2 of 239Optikpi.comOther observed source13.09%25 of 191
#3 of 239Intarget.spaceOther observed source12.04%23 of 191
#4 of 239Smartico.aiOther observed source12.04%23 of 191
#5 of 239Xtremepush.comOther observed source10.99%21 of 191

Full Is it worth it leaderboard, 239 sources

Problem-first research

Example pattern: how to solve igaming betting problems. 197 observed runs across 11 dates.

RankSourceSource roleCitation rateCited runs
#1 of 400Deucescracked.comOther observed source13.20%26 of 197
#2 of 400Gamblingsite.comOther observed source11.17%22 of 197
#3 of 400Acgcs.orgAcademic and government source10.66%21 of 197
#4 of 400Imgl.orgOther observed source9.14%18 of 197
#5 of 400Optikpi.comOther observed source8.63%17 of 197

Full Problem-first research leaderboard, 400 sources

Top lists

Example pattern: top igaming betting platforms. 200 observed runs across 11 dates.

RankSourceSource roleCitation rateCited runs
#1 of 416Geocomply.comOther observed source24.50%49 of 200
#2 of 416Radar.comOther observed source21.50%43 of 200
#3 of 416Locance.comOther observed source20.50%41 of 200
#4 of 416Smartico.aiOther observed source15.50%31 of 200
#5 of 416Tech InsiderEditorial publication14.50%29 of 200

Full Top lists leaderboard, 416 sources

Comparisons

Example pattern: igaming betting platform A vs B. 179 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 144Track360.ioOther observed source24.58%44 of 179
#2 of 144RotoWireEditorial publication24.02%43 of 179
#3 of 144Symphony-solutions.comOther observed source16.20%29 of 179
#4 of 144The LinesEditorial publication13.41%24 of 179
#5 of 144Cbssports.comOther observed source12.29%22 of 179

Full Comparisons leaderboard, 144 sources

Observed shapes6

Canonical segment URLs exist only for observed category/shape pairs.

Published6

Published segments met the release evidence floor.

Collecting0

Collecting segments expose sample progress, not mature leaderboards.

ReleaseNovember 2, 2026

Methodology v2.1.

Question shapes

Separate denominators by segment

Question shapeStateObserved runsDistinct questionsRun datesDistinct cited domainsCanonical segment
Best toolsPublished2097 (5 paraphrase groups)11264Open leaderboard
How buyers choosePublished1907 (5 paraphrase groups)11269Open leaderboard
Is it worth itPublished1917 (5 paraphrase groups)11239Open leaderboard
Problem-first researchPublished1977 (5 paraphrase groups)11400Open leaderboard
Top listsPublished2007 (5 paraphrase groups)11416Open leaderboard
ComparisonsPublished1797 (5 paraphrase groups)10144Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published iGaming & Betting segment by that source's citation rate on one engine across the whole window. It is not a rate inside iGaming & Betting alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. iGaming & Betting, observed Machine Relations Index category, 2026-05-10 to 2026-11-02. Release mri_score_v2.1+2026-11-02+f9aaeca0db15. https://machinerelations.ai/index/categories/igaming-betting. CC BY 4.0.
APA
Parrott, J. (2026). iGaming & Betting in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/igaming-betting https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mriigamingbetting,
  author = {Parrott, Jaxon},
  title = {iGaming \& Betting in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-02+f9aaeca0db15},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/categories/igaming-betting},
  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

No pooled category score

Published November 2, 2026. The observation window runs May 10, 2026 to November 2, 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"])

This page is a directory of observed segments. A domain's overall citation rate is not a category rate, and MRI does not publish an averaged category score in this slice.

iGaming & Betting buyers on AuthorityTech’s publication intelligence is a downstream practitioner projection of these segments. It is not source evidence, citation provenance, or an identity link for the neutral dataset.