AI Indexes
GTM AI Index
Index › Marketing › DAM › Filecamp vs Pics.io
Digital asset management · October 2026 Edition

Filecamp vs Pics.io

Zero of fourteen models named Filecamp first on the direct prompt; zero named Pics.io. Filecamp was named by twelve of the fourteen models and Pics.io by eight and Filecamp carries 22 labels and Pics.io 10, so the shares are not directly comparable.

Filecamp

accepted challenger

Named in two categories this edition.

Pics.io

accepted challenger

Named in one category this edition.

First-choice share17%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels2210A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Filecamp reading right to left. Rank and label count are printed, not drawn.Canto was named alongside these two in fourteen of the fourteen direct answers. Canto vs Filecamp · Canto vs Pics.io · Filecamp vs Bynder

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FilecampFirst choices, of fourteen modelsPics.io
Direct00
Paraphrase011 against Filecamp
Comparative00
Budget-constrained90
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Filecamp and Pics.io were named in the same answer fifteen times, of the 74 answers naming Filecamp and the 25 naming Pics.io. In those answers Pics.io took the first choice one time and Filecamp ten.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Filecamp and Pics.io stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
GPT-6 Luna
Muse Glimmer 30B
Filecamp Pics.io first choice named as an alternative argued againstblank: not namedEach cell is one answer, Filecamp on the left and Pics.io on the right.

The direct prompt

The plain question, one answer per model, grouped by where Filecamp and Pics.io stood in it.

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashCanto alternatives: Bynder, Filecamp, Frontify
Kimi K2Canto alternatives: Brandfolder, Bynder, Filecamp
GLM 4.7 FlashXCanto alternatives: Brandfolder, Bynder, Filecamp

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Canto alternatives: Acquia DAM, Brandfolder, MediaValet
GPT-5.4 miniBynder alternatives: Acquia DAM, Akeneo, Canto, Plytix, Sales Layer
Gemini 3.5 FlashCanto alternatives: Acquia DAM, Brandfolder, Bynder, Masset
Perplexity SonarBynder alternatives: Brandfolder, Canto, Frontify
Grok 4.1 FastCanto alternatives: Brandfolder, Bynder, OpenAsset
Mistral SmallCanto alternatives: Brandfolder, Templafy
Llama 4 MaverickCanto alternatives: Brandfolder, Templafy
Qwen 3.7 FlashCanto, OpenAsset alternatives: Brandfolder, Frontify
MiniMax M2.5Bynder, Canto alternatives: Frontify, MediaValet, OpenAsset
GPT-6 LunaCanto alternatives: Brandfolder, Bynder
Muse Glimmer 30BBynder alternatives: Aprimo, Brandfolder, Canto, Cloudinary, Frontify, Widen

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Filecamp leads by thirty-three points.
Filecamp33%#1 of 15
Pics.io0%#9 of 15
The full small business standing →
Mid-marketThe figures above
Filecamp leads by fifteen points.
Filecamp17%#2 of 13
Pics.io2%#7 of 13
The full mid-market standing →
Enterprise
Pics.io is not named for this buyer.
Filecamp0%#– of 12
Pics.io—not named
The full enterprise standing →

What 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.

“Affordable entry; less feature-rich for growing B2B.” Grok 4.1 Fast · paraphrase prompt · soft negative
“For most companies with a limited budget, Filecamp at $29/month offers the best balance of affordability, features, and ease of use.” DeepSeek V4 Flash · budget prompt · first choice
“Filecamp is the strongest overall choice if you want a low-cost, easy-to-use digital asset management system” Perplexity Sonar · budget prompt · first choice
“Best Overall Value & Custom Branding: Filecamp ... widely considered one of the most budget-friendly options” Gemini 3.5 Flash · budget prompt · first choice

What the models said about Pics.io

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Canto or Pics.io give you mid-market scalability without enterprise complexity” Muse Glimmer 30B · paraphrase prompt · first choice
“Best for Teams Already Using Google Drive or AWS: Pics.io ... is the ideal solution” Gemini 3.5 Flash · budget prompt · alternative
“a cost-effective DAM solution using Google Drive and Amazon S3 for storage” Claude Haiku 4.5 · budget prompt · alternative
Also compared

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.