GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index GTM data and infrastructure September 2026 Edition

Data management platforms

Asked as “data management platform for audiences”, and as “DMP”, on behalf of a mid-market B2B software company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
18% of first choices, contested.

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Segment18%6%34accepted challenger
02Hightouch11%4%23accepted challenger
03Tealium7%12%17accepted challenger
04BigQuery4%0%12accepted challenger
05Demandbase4%10%10accepted challenger
06BlueConic2%0%13accepted challenger
07Snowflake2%26%19criticized challenger
08Salesforce Data Cloud2%30%20criticized challenger
Show the three products at 0%, ordered by negative rate
11Adobe Real-Time CDP0%53%15criticized challenger
10Databricks0%19%16accepted challenger
09Fivetran0%0%11accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Segment18%
02Hightouch11%
03Tealium7%
04BigQuery4%
05Demandbase4%
06BlueConic2%
07Snowflake2%
08Salesforce Data Cloud2%
09Fivetran0%
10Databricks0%
11Adobe Real-Time CDP0%

02What they warned about

A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Salesforce Audience Studio
88%
7 of 8 labels negative · 6 of 6 models · 6 hard negative
“you should avoid **traditional, legacy Data Management Platforms (DMPs)** like Adobe Audience Manager or Salesforce Audience Studio” Gemini 3.5 Flash, budget prompt
Adobe Real-Time CDP
53%
8 of 15 labels negative · 6 of 6 models · 4 hard negative
“Avoid enterprise giants like Adobe Real-Time CDP or Salesforce Data Cloud. They are too expensive” Gemini 3.5 Flash, paraphrase prompt
Snowflake
26%
5 of 19 labels negative · 5 of 6 models · 1 hard negative
“**Avoid Snowflake** for sensitive data storage until security issues are resolved” Mistral Small, negative prompt
Adobe Audience Manager
78%
7 of 9 labels negative · 4 of 6 models · 4 hard negative
“you should avoid **traditional, legacy Data Management Platforms (DMPs)** like Adobe Audience Manager or Salesforce Audience Studio” Gemini 3.5 Flash, budget prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

19 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 199 links across 103 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

8 answers · 13 citations · 2 models
vendor site · Improvado8 answers · 12 citations · 2 models
vendor site · Domo7 answers · 7 citations · 2 models
vendor site · Decentriq5 answers · 7 citations · 2 models
vendor site · Matillion5 answers · 7 citations · 2 models
vendor site · ZoomInfo4 answers · 5 citations · 2 models
4 answers · 4 citations · 1 model
vendor site · HubSpot4 answers · 4 citations · 1 model
4 answers · 4 citations · 2 models
vendor site · Gartner3 answers · 5 citations · 3 models
vendor site · Demandbase3 answers · 3 citations · 2 models
3 answers · 3 citations · 2 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best data management platform for audiences for a mid-market B2B company?”Paraphrase“Which DMP would you recommend to a mid-sized B2B company?”Comparative“What are the top data management platforms and how do they differ?”Budget-constrained“What is the best data management platform for audiences for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a data management platform for audiences. What should we look at?”Negative“Which data management platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
Adobe read as Adobe Real-Time CDP
Oracle read as Oracle BlueKai
Oracle (BlueKai) read as Oracle BlueKai
Salesforce read as Salesforce Audience Studio
Unresolved, counted raw
AT&T
AWS-native stacks
Ad Tech Gekko
Ads Data Hub
Alation Data Intelligence Platform
Audience Manager
Azure-native stacks
Chartbeat
Comscore
Cyera
DataGPT
Delta Lake
Druid
Elasticsearch
Google BigQuery + Ads Data Hub
Google Cloud Customer Data Platform
Google Cloud-native stacks
Informatica PowerCenter / Cloud Data Integration
Krux / Salesforce Audience Studio
LastPass
LayerFive
LinkedIn Matched Audiences / Predictive Audiences
Lotame Spherical Platform
Meta (Facebook/Instagram)
Microsoft
Microsoft (Azure/Exchange)
Microsoft ecosystem options
MinIO
Okta Support System
Older Oracle DB
Omeda
OpenSearch
Oracle Advertising Suite (BlueKai, Datalogix, AddThis)
Oracle BlueKai, Datalogix, ID Graph
Progress MOVEit
Redis
Salesforce Audience Studio/Krux
ScyllaDB
Sentra
Snowflake SaaS Marketplace
Valkey
Varonis
Versium REACH
Wiz
Zaius/Klaviyo
ai-surge.cloud
Discontinued, still offered
No shut-down product was recommended here.
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