Machine Relations Index

Martech & Advertising · Machine Relations Index category

Which sources AI engines cite for Martech & Advertising questions

Vendor-owned sources earn 52.6% of classified citations in Martech & Advertising answers (2,061 of 3,920), 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 7 Martech & Advertising question shapes, each ranked on that shape's own observed runs. This category has 7 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 martech advertising tools. 135 observed runs across 8 dates.

RankSourceSource roleCitation rateCited runs
#1 of 242Bloomreach.comVendor-owned source15.56%21 of 135
#2 of 242G2Market and company database14.81%20 of 135
#3 of 242Insider OneVendor-owned source11.85%16 of 135
#4 of 242PR NewswireWire and press-release distribution11.85%16 of 135
#5 of 242Cometly.comVendor-owned source11.11%15 of 135

Full Best tools leaderboard, 242 sources

How buyers choose

Example pattern: how to choose martech advertising tools. 129 observed runs across 8 dates.

RankSourceSource roleCitation rateCited runs
#1 of 224Cdp.comVendor-owned source25.58%33 of 129
#2 of 224Adobe.comVendor-owned source10.85%14 of 129
#3 of 224TechTargetEditorial publication10.85%14 of 129
#4 of 224Amplitude.comOther observed source9.30%12 of 129
#5 of 224Cometly.comVendor-owned source7.75%10 of 129

Full How buyers choose leaderboard, 224 sources

Is it worth it

Example pattern: is martech advertising software worth it. 131 observed runs across 8 dates.

RankSourceSource roleCitation rateCited runs
#1 of 208Cdp.comVendor-owned source34.35%45 of 131
#2 of 208Improvado.ioVendor-owned source13.74%18 of 131
#3 of 208Cometly.comVendor-owned source11.45%15 of 131
#4 of 208Thestacc.comOther observed source9.92%13 of 131
#5 of 208Guideflow.comOther observed source9.16%12 of 131

Full Is it worth it leaderboard, 208 sources

News-driven citations

Example pattern: recent martech advertising news. 578 observed runs across 53 dates.

RankSourceSource roleCitation rateCited runs
#1 of 1,243MarTechEditorial publication15.74%91 of 578
#2 of 1,243Demandbase.comVendor-owned source11.59%67 of 578
#3 of 1,243Cdp.comVendor-owned source11.07%64 of 578
#4 of 1,243Landbase.comVendor-owned source11.07%64 of 578
#5 of 1,243Zoominfo.comMarket and company database9.52%55 of 578

Full News-driven citations leaderboard, 1,243 sources

Problem-first research

Example pattern: how to solve martech advertising problems. 131 observed runs across 8 dates.

RankSourceSource roleCitation rateCited runs
#1 of 256Cometly.comVendor-owned source12.21%16 of 131
#2 of 256Braze.comOther observed source7.63%10 of 131
#3 of 256Deployteq.comOther observed source6.87%9 of 131
#4 of 256Clickpatrol.comOther observed source6.11%8 of 131
#5 of 256Outreach.aiVendor-owned source5.34%7 of 131

Full Problem-first research leaderboard, 256 sources

Top lists

Example pattern: top martech advertising platforms. 100 observed runs across 7 dates.

RankSourceSource roleCitation rateCited runs
#1 of 204G2Market and company database19.00%19 of 100
#2 of 204TechRadarEditorial publication17.00%17 of 100
#3 of 204Hubspot.comVendor-owned source15.00%15 of 100
#4 of 204Monday.comVendor-owned source13.00%13 of 100
#5 of 204Decentriq.comOther observed source11.00%11 of 100

Full Top lists leaderboard, 204 sources

Comparisons

Example pattern: martech advertising platform A vs B. 100 observed runs across 7 dates.

RankSourceSource roleCitation rateCited runs
#1 of 162Cdp.comVendor-owned source28.00%28 of 100
#2 of 162Nvecta.comVendor-owned source16.00%16 of 100
#3 of 162Fivetran.comOther observed source12.00%12 of 100
#4 of 162Blueshift.comOther observed source11.00%11 of 100
#5 of 162G2Market and company database9.00%9 of 100

Full Comparisons leaderboard, 162 sources

Observed shapes7

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

Published7

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 toolsPublished1357 (5 paraphrase groups)8242Open leaderboard
How buyers choosePublished1297 (5 paraphrase groups)8224Open leaderboard
Is it worth itPublished1317 (5 paraphrase groups)8208Open leaderboard
News-driven citationsPublished57825531,243Open leaderboard
Problem-first researchPublished1317 (5 paraphrase groups)8256Open leaderboard
Top listsPublished1007 (5 paraphrase groups)7204Open leaderboard
ComparisonsPublished1007 (5 paraphrase groups)7162Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Martech & Advertising segment by that source's citation rate on one engine across the whole window. It is not a rate inside Martech & Advertising alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Martech & Advertising, 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/martech-advertising. CC BY 4.0.
APA
Parrott, J. (2026). Martech & Advertising in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/martech-advertising https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mrimartechadvertising,
  author = {Parrott, Jaxon},
  title = {Martech \& Advertising 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/martech-advertising},
  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.

Martech & Advertising 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.