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 Marketing September 2026 Edition

Digital asset management

Asked as “digital asset management system”, and as “DAM platform”, on behalf of a mid-market B2B software company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
34% 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
01Canto34%11%47endorsed leader
02Filecamp19%4%23accepted challenger
03Bynder15%19%48accepted challenger
04Brandfolder6%14%42accepted challenger
05Cloudinary2%6%17accepted challenger
Show the seven products at 0%, ordered by negative rate
12Adobe Experience Manager Assets0%31%16criticized challenger
08Acquia DAM0%16%25accepted challenger
10Air0%12%16accepted challenger
09Aprimo0%11%18accepted challenger
07Frontify0%5%19accepted challenger
06MediaValet0%4%26accepted challenger
11Pics.io0%0%10accepted 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
A10
11
12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Canto34%
02Filecamp19%
03Bynder15%
04Brandfolder6%
05Cloudinary2%
06MediaValet0%
07Frontify0%
08Acquia DAM0%
09Aprimo0%
10Air0%
11Pics.io0%
12Adobe Experience Manager Assets0%

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.
Bynder
19%
9 of 48 labels negative · 6 of 6 models · 2 hard negative
“High-Risk DAM Systems to Avoid ... 1. Bynder ... Be extremely cautious with Bynder due to its migration issues and user experience problems.” Mistral Small, negative prompt
Adobe Experience Manager
100%
8 of 8 labels negative · 4 of 6 models · 2 hard negative
“Avoid for Limited Budgets: Enterprise solutions like Adobe Experience Manager ($50K+/year)” Mistral Small, budget prompt
Canto
11%
5 of 47 labels negative · 4 of 6 models · 2 hard negative
“**1. Canto** ⚠️ **HIGH CAUTION** ... Critical Security Vulnerabilities” Kimi K2, negative prompt
Brandfolder
14%
6 of 42 labels negative · 4 of 6 models · 1 hard negative
“typically require custom quotes and often cost thousands per month” Kimi K2, 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

21 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. 205 links across 90 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.

vendor site · Canto12 answers · 12 citations · 3 models
vendor site · VNTANA8 answers · 10 citations · 2 models
7 answers · 7 citations · 2 models
vendor site · MediaValet7 answers · 7 citations · 2 models
6 answers · 7 citations · 2 models
6 answers · 6 citations · 2 models
vendor site · Frontify6 answers · 6 citations · 2 models
6 answers · 6 citations · 2 models
5 answers · 5 citations · 2 models
vendor site · Brandfolder4 answers · 9 citations · 3 models
4 answers · 5 citations · 1 model
vendor site · Gartner4 answers · 4 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 digital asset management system for a mid-market B2B company?”Paraphrase“Which DAM platform would you recommend to a mid-sized B2B company?”Comparative“What are the top digital asset management systems and how do they differ?”Budget-constrained“What is the best digital asset management system for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a digital asset management system. What should we look at?”Negative“Which digital asset management systems 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
Acquia read as Acquia DAM
Adobe read as Adobe Experience Manager Assets
Unresolved, counted raw
Air.inc
Akeneo
Asset Bank
Clipido
DigitalAssetMkts.com
DigitalAssetsAutomation.net
DigitalAssetsGrowth.com
MassettUs
OpenDXP
OpenText MediaBeacon
Phraseanet
Scaleflex
Stockpress
SyncForce
Webdam
Discontinued, still offered
No shut-down product was recommended here.
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