Sales, GTM & CRM · Machine Relations Index category

Which sources AI engines cite for Sales, GTM & CRM questions

Vendor-owned sources earn 74.0% of classified citations in Sales, GTM & CRM answers (111 of 150), as of November 4, 2026.

In the November 2026 release of the Machine Relations Index, these are the sources AI answer engines cited most often for the 1 of 6 Sales, GTM & CRM question shapes that publish a rate, 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.

Markdown Agent API Public JSON Release manifest

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 sales, GTM CRM tools. Collecting observations: 97 observed runs across 6 dates against a floor of 10 runs and 7 dates, so no rate or rank is published yet.

How buyers choose

Example pattern: how to choose sales, GTM CRM tools. Collecting observations: 96 observed runs across 6 dates against a floor of 10 runs and 7 dates, so no rate or rank is published yet.

Is it worth it

Example pattern: is sales, GTM CRM software worth it. Collecting observations: 93 observed runs across 5 dates against a floor of 10 runs and 7 dates, so no rate or rank is published yet.

Problem-first research

Example pattern: how to solve sales, GTM CRM problems. Collecting observations: 94 observed runs across 5 dates against a floor of 10 runs and 7 dates, so no rate or rank is published yet.

Top lists

Example pattern: top sales, GTM CRM platforms. Collecting observations: 93 observed runs across 5 dates against a floor of 10 runs and 7 dates, so no rate or rank is published yet.

Comparisons

Example pattern: sales, GTM CRM platform A vs B. 94 observed runs across 7 dates.

Rank	Source	Source role	Citation rate	Cited runs
#1 of 141	Usesalespitch.com	Other observed source	22.34%	21 of 94
#2 of 141	Hubspot.com	Vendor-owned source	20.21%	19 of 94
#3 of 141	Sybill.ai	Other observed source	18.09%	17 of 94
#4 of 141	Avoma.com	Vendor-owned source	17.02%	16 of 94
#5 of 141	Outreach.ai	Vendor-owned source	12.77%	12 of 94

Full Comparisons leaderboard, 141 sources

Observed shapes6

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

Published1

Published segments met the release evidence floor.

Collecting5

Collecting segments expose sample progress, not mature leaderboards.

ReleaseNovember 4, 2026

Methodology v2.1.

Question shapes

Separate denominators by segment

Question shape	State	Observed runs	Distinct questions	Run dates	Distinct cited domains	Canonical segment
Best tools	Collecting observations	97	7 (5 paraphrase groups)	6	170	Open leaderboard
How buyers choose	Collecting observations	96	7 (5 paraphrase groups)	6	163	Open leaderboard
Is it worth it	Collecting observations	93	7 (5 paraphrase groups)	5	164	Open leaderboard
Problem-first research	Collecting observations	94	7 (5 paraphrase groups)	5	174	Open leaderboard
Top lists	Collecting observations	93	7 (5 paraphrase groups)	5	174	Open leaderboard
Comparisons	Published	94	7 (5 paraphrase groups)	7	141	Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Sales, GTM & CRM segment by that source's citation rate on one engine across the whole window. It is not a rate inside Sales, GTM & CRM alone. A collecting engine has no published ranking for this category.

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Sales, GTM & CRM, observed Machine Relations Index category, 2026-05-10 to 2026-11-04. Release mri_score_v2.1+2026-11-04+94f24cb38da0. https://machinerelations.ai/index/categories/sales-gtm-crm. CC BY 4.0.

APA

Parrott, J. (2026). Sales, GTM & CRM in the Machine Relations Index (Version mri_score_v2.1+2026-11-04+94f24cb38da0) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/sales-gtm-crm https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrisalesgtmcrm,
  author = {Parrott, Jaxon},
  title = {Sales, GTM \& CRM in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-04+94f24cb38da0},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/categories/sales-gtm-crm},
  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 4, 2026. The observation window runs May 10, 2026 to November 4, 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.

Sales, GTM & CRM 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.