Machine Relations Index

Local Services · Machine Relations Index category

Which sources AI engines cite for Local Services questions

Editorial publications earn 48.8% of classified citations in Local Services answers (324 of 664), 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 Local Services 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 local services tools. 179 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 293Angi.comOther observed source19.55%35 of 179
#2 of 293Seattlesimplyclean.comOther observed source19.55%35 of 179
#3 of 293Thumbtack.comOther observed source17.88%32 of 179
#4 of 293Homeadvisor.comOther observed source12.85%23 of 179
#5 of 293Elite-roofs.comOther observed source11.73%21 of 179

Full Best tools leaderboard, 293 sources

How buyers choose

Example pattern: how to choose local services tools. 178 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 248Serviceagent.aiVendor-owned source12.92%23 of 178
#2 of 248Thumbtack.comOther observed source12.92%23 of 178
#3 of 248Best Pick ReportsAnalyst and consulting research10.11%18 of 178
#4 of 248Bates-electric.comOther observed source8.99%16 of 178
#5 of 248Bryanfagan.comOther observed source7.87%14 of 178

Full How buyers choose leaderboard, 248 sources

Is it worth it

Example pattern: is local services software worth it. 179 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 230Americashousekeeping.comOther observed source16.76%30 of 179
#2 of 230Care.comOther observed source16.76%30 of 179
#3 of 230Thumbtack.comOther observed source16.20%29 of 179
#4 of 230RedditCommunity and social platform15.08%27 of 179
#5 of 230Sdlocalpros.comOther observed source12.85%23 of 179

Full Is it worth it leaderboard, 230 sources

Problem-first research

Example pattern: how to solve local services problems. 187 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 328Angi.comOther observed source9.63%18 of 187
#2 of 328RedditCommunity and social platform9.09%17 of 187
#3 of 328Callhometherapist.comOther observed source7.49%14 of 187
#4 of 328Rotorooter.comOther observed source7.49%14 of 187
#5 of 328Scmroofingfl.comOther observed source6.42%12 of 187

Full Problem-first research leaderboard, 328 sources

Top lists

Example pattern: top local services platforms. 156 observed runs across 9 dates.

RankSourceSource roleCitation rateCited runs
#1 of 188Thumbtack.comOther observed source21.15%33 of 156
#2 of 188Treescouts.comOther observed source21.15%33 of 156
#3 of 188Angi.comOther observed source19.23%30 of 156
#4 of 188Happytreeserviceofaustin.comOther observed source18.59%29 of 156
#5 of 188Austintreeexperts.comOther observed source17.95%28 of 156

Full Top lists leaderboard, 188 sources

Comparisons

Example pattern: local services platform A vs B. 175 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 263Plumbinatoraustin.comOther observed source18.86%33 of 175
#2 of 263ConsumerAffairsEditorial publication17.71%31 of 175
#3 of 263Thumbtack.comOther observed source16.00%28 of 175
#4 of 263Angi.comOther observed source14.86%26 of 175
#5 of 263Abacusplumbing.comOther observed source12.57%22 of 175

Full Comparisons leaderboard, 263 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 toolsPublished1797 (5 paraphrase groups)10293Open leaderboard
How buyers choosePublished1787 (5 paraphrase groups)10248Open leaderboard
Is it worth itPublished1797 (5 paraphrase groups)10230Open leaderboard
Problem-first researchPublished1877 (5 paraphrase groups)10328Open leaderboard
Top listsPublished1567 (5 paraphrase groups)9188Open leaderboard
ComparisonsPublished1757 (5 paraphrase groups)10263Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Local Services segment by that source's citation rate on one engine across the whole window. It is not a rate inside Local Services alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Local Services, 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/local-services. CC BY 4.0.
APA
Parrott, J. (2026). Local Services in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/local-services https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mrilocalservices,
  author = {Parrott, Jaxon},
  title = {Local Services 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/local-services},
  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.

Local Services 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.