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GTM AI Index
Index › Products › Amazon Marketing Cloud · October 2026 Edition
Amazon · 1 category · Ranked

Amazon Marketing Cloud

62Judge labels
11First choices
14Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
14% in Data clean rooms for mid-market buyers
Rank 3 of 100 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 17% of its 24 labels there were negative.
What the models named instead of Amazon Marketing Cloud →
By buyer segmentStrongest at mid-market.
In data clean rooms · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Amazon Marketing Cloud for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Data clean roomsGTM data and infrastructure14%3 of 10017%24accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Amazon Marketing Cloud yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Amazon Marketing Cloud across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510001
GPT-5.4 mini01001
Gemini 3.5 Flash21115
Perplexity Sonar00000
Grok 4.1 Fast10001
Mistral Small00000
DeepSeek V4 Flash10315
Llama 4 Maverick10001
Qwen 3.7 Flash01001
Kimi K201001
GLM 4.7 FlashX02002
MiniMax M2.520002
GPT-6 Luna01012
Muse Glimmer 30B01012

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct9 labels2
Paraphrase1 labelNone
Comparative14 labels2not counted in share
Budget-constrained16 labels7
Scale-constrained7 labels2
Negative15 labels3not counted in share
First choiceAlternativeMentionNegative62 labels in all, every segment counted; 11 of the 16 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Amazon Marketing Cloud (AMC) seems particularly relevant if your company has significant Amazon advertising presence... it could be an accessible option for mid-market companies” MiniMax M2.5 · Data clean rooms · direct prompt · first choice
“set up Google Ads Data Hub or Amazon Marketing Cloud. It will teach your team how to work with clean room query logic without costing you a massive licensing fee.” Gemini 3.5 Flash · Data clean rooms · scale prompt · first choice
“If ad-focused, begin with free walled-garden DCRs (AMC/Google)—they solve 80% of needs without spend.” Grok 4.1 Fast · Data clean rooms · budget prompt · first choice
“including Amazon Marketing Cloud, which is free since September 2025 and has no SQL requirements” Llama 4 Maverick · Data clean rooms · direct prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Walled garden DCRs are incredibly powerful, but only within their own ecosystems. They are plagued by severe vendor lock-in.” Gemini 3.5 Flash · Data clean rooms · negative prompt · soft negative
“Walled Garden Clean Rooms (Google, Meta, Amazon) ... Why to be cautious: Vendor lock-in” DeepSeek V4 Flash · Data clean rooms · negative prompt · soft negative
“Amazon documents a 100-distinct-user threshold for certain first-party data analyses.” GPT-6 Luna · Data clean rooms · negative prompt · soft negative
“widely adopted but raise lock-in, portability and conflict-of-interest questions” Muse Glimmer 30B · Data clean rooms · negative prompt · soft negative

Named alongside

The products named in the same answers as Amazon Marketing Cloud, over the 62 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Marketing Cloud was named but was not.
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ProductSame answerTook the first choice insteadHead to head
LiveRamp Clean Room34 of 622Not among the top eight
Meta Advanced Analytics29 of 620Not among the top eight
Optable8 of 621Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Amazon Marketing Cloud. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 60 of the 62 answers that named Amazon Marketing Cloud and are not a share of its labels.

Domains cited

digitalapplied.com49
decentriq.com34
guideflow.com33
data-axle.com26
us.fitgap.com26
liveramp.com23
sourceforge.net23
aws.amazon.comYour site20
funnel.io20
marketintelo.com19

253 of the 273 domain citations in answers naming Amazon Marketing Cloud came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Amazon Marketing Cloud stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
720 a month (“amazon marketing cloud”)
AI search demand for its name, est.
21 a month
Its own site
It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition
Share of first choices
14%
rank 3 of 100 in data clean rooms
Segment leader
19%
Snowflake Data Clean Rooms
First choices
11 across its categories
Named in
62 answers
Its own site cited
in 60 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Amazon Marketing Cloud

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Marketing Cloud; a claim can dispute any of them.
Amazon Marketing Cloud (AMC) 13

Follow Amazon Marketing Cloud

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Amazon is the company behind Amazon Marketing Cloud.
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On record

Wikidata
Website
amazon.com
Headquarters
Seattle, United States
Founded
1994
Employees
about 1,500,000 (2023)
Ownership
Public, AMZN on Nasdaq

Fetched September 14, 2026, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Amazon Marketing Cloud's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Amazon Marketing Cloud, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Amazon Marketing Cloud by email, built from the raw record of the edition. It shows:

  • where Amazon Marketing Cloud is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Amazon Marketing Cloud, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at amazon.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where Amazon Marketing Cloud is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
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Amazon Marketing Cloud is among the products AI models recommend first in Data clean rooms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in Data clean rooms, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/gtm-data/data-clean-rooms/"><img src="https://gtm-ai-index.com/badges/2026-10/amazon-marketing-cloud--data-clean-rooms-wide.svg" alt="Among AI models' top three in Data clean rooms, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Data clean rooms standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Data clean rooms, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/gtm-data/data-clean-rooms/"><img src="https://gtm-ai-index.com/badges/2026-10/amazon-marketing-cloud--data-clean-rooms-square.svg" alt="Among AI models' top three in Data clean rooms, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Data clean rooms standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Data clean rooms, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/gtm-data/data-clean-rooms/"><img src="https://gtm-ai-index.com/badges/2026-10/amazon-marketing-cloud--data-clean-rooms-compact.svg" alt="Among AI models' top three in Data clean rooms, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Data clean rooms standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.