Every category where a model named Dash for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Digital asset management	Marketing	0%	28 of 70	33%	3	under 10 labels · led by Canto at 45%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Dash held within the floor in its one category: no change cleared 11 points.

Best category · DAM · by segment

Small business▲+3Since September 2026: 4% → 8%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

8%from 4% in September 2026

Inside the floor by 8 pointsRank 5 → 4 of 59

Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 20 → 27 of 63

Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 47 → 33 of 52

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
DAM	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 20 → 28 of 70

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Dash across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	1	1
Gemini 3.5 Flash	1	0	1
Perplexity Sonar	0	0	0
Grok 4.20	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	1	0	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct2 labels1

Paraphrase4 labels1

Comparative5 labelsNone

Budget-constrained9 labels1

Scale-constrained1 labelNone

Negative4 labels2not counted in share

First choiceAlternativeMentionNegative25 labels in all, every segment counted; 3 of the 5 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“*Best for E-commerce and Growing Brands* ... Higher starting price than some alternatives” DeepSeek V4 Flash · DAM · budget prompt · alternative

“Best for Small E-Commerce Brands: Dash (by Bright)” Gemini 3.5 Flash · DAM · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“consider Dash or Air, but they're typically pricier” GPT-5.4 mini · DAM · budget prompt · soft negative

Named alongside

The products named in the same answers as Dash, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dash was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Filecamp19 of 259Not among the top eight

Canto17 of 254Not among the top eight

Brandfolder12 of 250Not among the top eight

Bynder12 of 250Not among the top eight

Air11 of 250Not among the top eight

ResourceSpace8 of 253Not among the top eight

Adobe Experience Manager Assets6 of 250Not among the top eight

Pics.io6 of 250Not among the top eight

Aprimo5 of 251Not among the top eight

Cloudinary5 of 250Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Dash. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 25 of the 25 answers that named Dash and are not a share of its labels.

Domains cited

dash.appYour site20

g2.com14

canto.com12

filecamp.com12

zapier.com11

thedigitalprojectmanager.com10

brandfolder.com8

frontify.com8

templafy.com8

capterra.com7

Ninety of the 110 domain citations in answers naming Dash came from somebody else's page.

Pages cited

canto.com/blog/top-dam-software11

dash.app/blog/affordable-dam-solutions11

zapier.com/blog/dam-software11

templafy.com/digital-asset-management-software8

frontify.com/en/guide/digital-asset-management-software6

thedigitalprojectmanager.com/tools/best-digital-asset-management-software-for-small-busine6

celum.com/en/blog/digital-asset-management-systems5

dash.app/blog/how-to-pick-a-dam5

Pages are listed as the models cited them.

Search and answers

dash.app is not in Google's top ten for any of the category's searches. In the answers, Dash takes 0% of first choices and Canto takes 45%.

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In search

Google, US estimates

Position for “digital asset management system”

–

not in the top ten

Position for “best digital asset management system”

–

not in the top ten

Searches for its name, Google: 165,000 a month (“dash”)
AI search demand for its name, est.: 126,123 a month
Organic visits to its site: about 5,694 a month
Searches its site ranks for: 2,081 · 68 in the top three
Sites linking to it: 2,225
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

86 ads · 50 text, 21 video, 15 image · 44 shown in the last 30 days

First shown March 2022, as BN2 WEB LIMITED, verified. Ads started 2025-10 to 2026-09: 33 in the year, 53 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 28 of 70 in DAM

Segment leader

45%

Canto

First choices: 3 across its categories
Named in: 25 answers
Its own site cited: in 25 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on dash.app

640

subdomains included

Content

254

counted in the table below

Documentation

232

Product · Integration

12 · 0

Kind	Pages	Last 90 days	Latest	Categories named
Blog	175	undated		DAM, Social media
Comparison	46	undated		DAM
Case study	28	undated
Report or ebook	3	undated
Glossary or explainer	2	1	2026-09-29	DAM

Most recent

2026-09-2910174344 ai search makes finding assets easier glossary or explainer

How it is countedHide how it is counted

Every page dash.app exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.

Names read as Dash

What the judge wrote, as written, with how often. The vendor table decides that these count as Dash; a claim can dispute any of them.

Dash (by Bright) 1

Follow Dash

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Dash is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Digital asset management (DAM) for growing brands
dash.app
For: growing ecommerce brands
dash.app
Price stated: Dash starts from just $109 / £79 a month. dash.app
Starting price: $109 / £79 dash.app
Free plan or trial: Free trial dash.app
Certifications: ISO 27001 certificationISO-accredited
Hosting: EU (Ireland)EU (Stockholm)
Customers named: BeavertownMountain EquipmentRevAirPassengerGo TravelSilentnightFurbish StudioEthnotek
Not stated on the pages read: Integrations

What Dash's own pages state, read September 28, 2026: dash.app, dash.app/pricing, trust.dash.app, dash.app/features/ai, dash.app/customers. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Dash's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Dash, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Dash by email, built from the raw record of the edition. It shows:

where Dash is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Dash, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.