Machine Relations Index

Logistics & Freight · Machine Relations Index category

Which sources AI engines cite for Logistics & Freight questions

Editorial publications earn 30.0% of classified citations in Logistics & Freight answers (220 of 733), 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 Logistics & Freight 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 logistics freight tools. 153 observed runs across 9 dates.

RankSourceSource roleCitation rateCited runs
#1 of 241Softwareadvice.comOther observed source15.69%24 of 153
#2 of 241Suitefleet.comOther observed source15.69%24 of 153
#3 of 241Wearewarp.comOther observed source15.03%23 of 153
#4 of 241Locus.shOther observed source14.38%22 of 153
#5 of 241Mycarrier.ioOther observed source14.38%22 of 153

Full Best tools leaderboard, 241 sources

How buyers choose

Example pattern: how to choose logistics freight tools. 159 observed runs across 9 dates.

RankSourceSource roleCitation rateCited runs
#1 of 296FreightWavesEditorial publication17.61%28 of 159
#2 of 296Locus.shOther observed source12.58%20 of 159
#3 of 296Cargoez.comOther observed source11.95%19 of 159
#4 of 296Legacyscs.comOther observed source9.43%15 of 159
#5 of 296Redwoodlogistics.comOther observed source8.81%14 of 159

Full How buyers choose leaderboard, 296 sources

Is it worth it

Example pattern: is logistics freight software worth it. 159 observed runs across 9 dates.

RankSourceSource roleCitation rateCited runs
#1 of 257Shipperguide.comOther observed source19.50%31 of 159
#2 of 257Wearewarp.comOther observed source18.87%30 of 159
#3 of 257Cargoson.comOther observed source11.95%19 of 159
#4 of 257Transplus.ioOther observed source10.06%16 of 159
#5 of 257Descartes.comOther observed source8.81%14 of 159

Full Is it worth it leaderboard, 257 sources

Problem-first research

Example pattern: how to solve logistics freight problems. 129 observed runs across 9 dates.

RankSourceSource roleCitation rateCited runs
#1 of 213Dashdoc.comOther observed source16.28%21 of 129
#2 of 213Opendock.comOther observed source10.85%14 of 129
#3 of 213Trinitylogistics.comOther observed source10.08%13 of 129
#4 of 213Wearewarp.comOther observed source8.53%11 of 129
#5 of 213Withvector.comOther observed source8.53%11 of 129

Full Problem-first research leaderboard, 213 sources

Top lists

Example pattern: top logistics freight platforms. 137 observed runs across 8 dates.

RankSourceSource roleCitation rateCited runs
#1 of 228Deposco.comOther observed source20.44%28 of 137
#2 of 228Portcitylogistics.comOther observed source14.60%20 of 137
#3 of 228Savannahlogistics.comOther observed source13.87%19 of 137
#4 of 228Extensiv.comOther observed source12.41%17 of 137
#5 of 228Gofreight.comOther observed source12.41%17 of 137

Full Top lists leaderboard, 228 sources

Comparisons

Example pattern: logistics freight platform A vs B. 136 observed runs across 8 dates.

RankSourceSource roleCitation rateCited runs
#1 of 190Chrobinson.comOther observed source36.03%49 of 136
#2 of 190Atsinc.comOther observed source22.06%30 of 136
#3 of 190Traffix.comOther observed source19.12%26 of 136
#4 of 190LinkedInCommunity and social platform16.91%23 of 136
#5 of 190Theamericantruck.comOther observed source16.91%23 of 136

Full Comparisons leaderboard, 190 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 toolsPublished1537 (5 paraphrase groups)9241Open leaderboard
How buyers choosePublished1597 (5 paraphrase groups)9296Open leaderboard
Is it worth itPublished1597 (5 paraphrase groups)9257Open leaderboard
Problem-first researchPublished1297 (5 paraphrase groups)9213Open leaderboard
Top listsPublished1377 (5 paraphrase groups)8228Open leaderboard
ComparisonsPublished1367 (5 paraphrase groups)8190Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Logistics & Freight segment by that source's citation rate on one engine across the whole window. It is not a rate inside Logistics & Freight alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Logistics & Freight, 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/logistics-freight. CC BY 4.0.
APA
Parrott, J. (2026). Logistics & Freight in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/logistics-freight https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mrilogisticsfreight,
  author = {Parrott, Jaxon},
  title = {Logistics \& Freight 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/logistics-freight},
  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.

Logistics & Freight 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.