# Acquia DAM: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 25 judge labels across 1 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/acquia-dam/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Digital asset management | 0% | 16 | 16% | 25 |

## What the models said for it

- "A robust enterprise-grade solution that is particularly strong for companies with heavy product libraries" (Gemini 3.5 Flash, DAM)
- "strong if you care most about metadata depth, taxonomy, and governance" (GPT-5.4 mini, DAM)
- "Best for Product-Heavy B2B (Manufacturing, E-Commerce, Distribution)" (Gemini 3.5 Flash, DAM)
- "Product-asset focus; ecosystem commitment, steeper learning curve." (Grok 4.1 Fast, DAM)

## And against it

- "Some (e.g., Acquia DAM/Widen) get complaints on slow performance with large files/videos, bulk uploads, or millions of assets." (Grok 4.1 Fast, DAM)
- "Heavyweight, expensive, often require coding knowledge... Usually overkill" (Qwen 3.7 Flash, DAM)
- "Slow search and file retrieval performance... Limited integrations" (GLM 4.7 FlashX, DAM)
- "POST-ACQUISITION CAUTION ... Declining Support Quality" (Kimi K2, DAM)

## The company

Acquia; http://acquia.com/; Boston, United States; founded 2007. From Wikidata, fetched 2026-09-14.

## 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.