Filecamp vs Brandfolder
Zero of twelve models named Filecamp first on the direct prompt; zero named Brandfolder. Both were named by all twelve models and Filecamp carries 23 labels and Brandfolder 42, so the shares are not directly comparable.
Named in one category this edition.
Denver, United States, founded 2012. Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the digital asset management page.
By framing
FilecampFirst choices, of twelve modelsBrandfolder
Across every category in the September 2026 Edition, Filecamp and Brandfolder were named in the same answer thirty-three times, of the 72 answers naming Filecamp and the 95 naming Brandfolder. In those answers Brandfolder took the first choice zero times and Filecamp eight.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | |
Filecamp Brandfolder first choice named as an alternative argued againstblank: not namedEach cell is one answer, Filecamp on the left and Brandfolder on the right.The direct prompt
Neither was the first choice, one was named
8 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Filecamp27%#1 of 11Brandfolder4%#6 of 11Filecamp19%#2 of 12Brandfolder6%#4 of 12What the models said about Filecamp
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Limited reporting features... No mobile apps (web-only access)” GLM 4.7 FlashX · negative prompt · soft negative
“Best overall value: Filecamp at $29/month offers the best balance of affordability, unlimited users, and core DAM features” Mistral Small · budget prompt · first choice
“Go with Filecamp if you are on a shoestring budget ($29/mo) and need to share assets with a high volume of external clients.” Gemini 3.5 Flash · budget prompt · first choice
“Need quick, user-friendly setup for 5-50+ people? Filecamp Basic\u2014highest value per reviews.” Grok 4.1 Fast · budget prompt · first choice
What the models said about Brandfolder
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“typically require custom quotes and often cost thousands per month” Kimi K2 · budget prompt · hard negative
“often out of reach for companies with limited budgets, as they routinely cost between $10,000 and $50,000+ per year” Gemini 3.5 Flash · budget prompt · soft negative
“I'd want to compare it directly against your workflow needs before recommending it over Bynder or Acquia DAM” GPT-5.4 mini · direct prompt · soft negative
“Start by evaluating Canto or Brandfolder, as both offer strong feature sets, reasonable pricing, and faster implementation” Claude Haiku 4.5 · paraphrase prompt · first choice
“look closely at Bynder, Widen, and Brandfolder. These platforms sit in the "Goldilocks zone"” Qwen 3.7 Flash · scale prompt · first choice
“the recommended DAM platform for a mid-sized B2B company would be Canto, Brandfolder, or Masset” Llama 4 Maverick · paraphrase prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.