# Digital asset management for enterprise buyers: what AI models recommend, September 2026

GTM AI Recommendation Index, September 2026 Edition. Asked as "digital asset management system" and as "DAM platform", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://gtm-ai-index.com/marketing/digital-asset-management/enterprise/

**Standing:** Bynder leads with 33% of first choices; verdict contested. 49 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Bynder | 33% | 21% | 53 |
| 2 | Aprimo | 24% | 13% | 47 |
| 3 | MediaValet | 14% | 8% | 26 |
| 4 | Adobe Experience Manager Assets | 10% | 27% | 48 |
| 5 | Canto | 6% | 30% | 23 |
| 6 | Acquia DAM | 4% | 19% | 27 |
| 7 | Orange Logic | 0% | 4% | 23 |
| 8 | Cloudinary | 0% | 8% | 13 |
| 9 | Brandfolder | 0% | 36% | 33 |
| 10 | Frontify | 0% | 38% | 21 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: no first choice
- GPT-5.4 mini: Adobe Experience Manager Assets; alternatives Bynder, Canto
- Gemini 3.5 Flash: Adobe Experience Manager Assets; alternatives Aprimo, Bynder, OpenText DAM, Orange Logic
- Perplexity Sonar: Bynder; alternatives Acquia DAM, Adobe Experience Manager Assets, Frontify, VNTANA
- Grok 4.1 Fast: Aprimo, Bynder; alternatives Acquia DAM, Adobe Experience Manager Assets, Brandfolder, Canto
- Mistral Small: VNTANA; alternatives Adobe Experience Manager Assets, Bynder, MassetUs, OpenText Digital Asset Management
- DeepSeek V4 Flash: Bynder; alternatives Aprimo, Masset
- Llama 4 Maverick: no first choice
- Qwen 3.7 Flash: Bynder; alternatives Adobe Experience Manager Assets, Brandfolder, Canto, Pimcore
- Kimi K2: Bynder; alternatives Acquia DAM, Aprimo, Canto, MediaValet
- GLM 4.7 FlashX: Bynder; alternatives Aprimo, Frontify
- MiniMax M2.5: Aprimo, Bynder; alternatives MediaValet, VNTANA

## Sources the answers cite

22 of 72 answers came back with a source list, from 4 of 12 models. Sites named in the most answers:

- cmswire.com: 11 answers, 11 citations
- vntana.com: 10 answers, 15 citations
- canto.com: 10 answers, 11 citations
- aprimo.com: 9 answers, 12 citations
- stockpress.co: 8 answers, 8 citations
- frontify.com: 7 answers, 8 citations
- getmasset.com: 7 answers, 8 citations
- celum.com: 7 answers, 7 citations

Pages named in the most answers:

- https://cmswire.com/digital-asset-management/examining-19-enterprise-digital-asset-management-solutions (11 answers)
- https://vntana.com/roundup/best-enterprise-digital-asset-management-software (9 answers)
- https://stockpress.co/resources/10-resources-best-digital-asset-management-software-2026 (8 answers)
- https://canto.com/blog/top-dam-software (7 answers)
- https://celum.com/en/blog/digital-asset-management-systems (7 answers)
- https://frontify.com/en/guide/digital-asset-management-software (7 answers)
- https://getmasset.com/digital-asset-management-software (7 answers)
- https://vntana.com/roundup/best-digital-asset-management-software (6 answers)
- https://mediavalet.com/blog/best-digital-asset-management-platform (5 answers)
- https://openasset.com/resources/enterprise-digital-asset-management-software (5 answers)

## Warned against

- Bynder: 11 of 53 labels negative. "Why Avoid Per-Seat Models for Thousands of Users

Platforms like Bynder, Brandfolder, Canto, and Frontify charge per user/seat" (Kimi K2, budget prompt)
- Adobe Experience Manager Assets: 13 of 48 labels negative. "its licensing is multi-metric ... and quote-only — the least predictable for your stated priority" (DeepSeek V4 Flash, budget prompt)
- Brandfolder: 12 of 33 labels negative. "Lacks enterprise-scale governance - Considered more mid-market focused despite Smartsheet's enterprise claims" (Mistral Small, negative prompt)
- Frontify: 8 of 21 labels negative. ""not designed to handle enterprise levels of complexity," so it may be a poor fit for large global businesses" (Perplexity Sonar, negative prompt)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.