Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 62 of 67, unchanged
2 categories · RankedSnow Software
26Judge labels
0First choices
5Negative labels
12 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in ITAM for enterprise buyers
Rank 19 of 82 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 3 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business69 of 74
0%1 label
under the label threshold
Mid-market19 of 82
0%3 labels
under the label threshold
Enterprise14 of 91
0%12 labels
accepted challenger
In itam · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Snow Software 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 |
|---|---|---|---|---|---|---|---|
| IT asset management | IT operations and endpoint | 0% | 19 of 82 | 0% | 3 | under 10 labels · led by Freshservice at 31% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Enterprise architecture tools | IT operations and endpoint | 0% | 56 of 113 | 0% | 1 | under 10 labels · led by SAP LeanIX at 25% |
Movement
Since September 2026, Snow Software held within the floor in all two categories: no change cleared 11 points.
Best category · ITAM · by segment
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 18 of 75, unchanged
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 6 → 14 of 85
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| ITAM | 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 18 → 19 of 82 |
| EA tools | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 56 of 113, unchanged |
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 Snow Software across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Snow Software across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 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
Direct4 labelsNone
Paraphrase4 labelsNone
Comparative8 labelsNone
Budget-constrained3 labelsNone
Scale-constrained2 labelsNone
Negative5 labels1not counted in share
First choiceAlternativeMentionNegative26 labels in all, every segment counted; 0 of the 1 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.
“Flexera (and its competitor Snow) has evolved into full portfolio players” Qwen 3.7 Flash · EA tools · paraphrase prompt · alternative
“Flexera and Snow Software are strongest for software license compliance” Claude Haiku 4.5 · ITAM · comparative 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.
No model argued against it.
Named alongside
The products named in the same answers as Snow Software, over the 26 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Snow Software was named but was not.ShowHide
Named alongside
The products named in the same answers as Snow Software, over the 26 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Snow Software was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Snow Software. 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 22 of the 26 answers that named Snow Software and are not a share of its labels.
Domains cited
assetmanagement.global11
virima.com10
ezo.io9
gartner.com8
guideflow.com8
blog.invgate.com7
cloudaware.com7
g2.com7
goworkwize.com6
ciopages.com5
Seventy-eight of the seventy-eight domain citations in answers naming Snow Software came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
flexera.com is not in Google's top ten for any of the category's searches. In the answers, Snow Software takes 0% of first choices and Freshservice takes 31%.ShowHide
Search and answers
flexera.com is not in Google's top ten for any of the category's searches. In the answers, Snow Software takes 0% of first choices and Freshservice takes 31%.
ShowHideIn search
Google, US estimatesPosition for “it asset management platform”
–
not in the top ten
Position for “it asset management platforms”
–
not in the top ten
- Searches for its name, Google
- 390 a month (“snow software”)
- AI search demand for its name, est.
- 40 a month
- Organic visits to its site
- about 48,107 a month
- Searches its site ranks for
- 10,220 · 691 in the top three
- Sites linking to it
- 16,862
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 19 of 82 in ITAM
Segment leader
31%
Freshservice
- First choices
- 0 across its categories
- Named in
- 26 answers
- Its own site cited
- in 22 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
ShowHide
What it publishes
ShowHideAddresses on flexera.com
5,025
subdomains included
Content
1,943
counted in the table below
Documentation
4
Product · Integration
96 · 18
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,341 | 13 | 2026-09-28 | ITAM, FinOps | |
| News or press | 195 | undated | ITAM, FinOps | ||
| Webinar or virtual event | 156 | 0 | 2026-01-30 | ITAM, ITSM | |
| Glossary or explainer | 68 | 1 | 2026-09-02 | ITAM, ITSM | |
| Comparison | 60 | 1 | 2026-07-09 | ITAM | |
| Case study | 58 | undated | |||
| Conference or event | 33 | 0 | 2026-06-30 | ITAM | |
| Report or ebook | 25 | 0 | 2025-08-07 | ||
| Template or tool | 7 | 0 | 2024-09-18 |
Most recent
- 2026-09-28Enterprise ai governance guide blog
- 2026-09-25FinOps for AI: A practical guide to managing AI cloud costs (2026) blog
- 2026-09-24Ai cost management business case blog
- 2026-09-24Ai cost managment business case blog
- 2026-09-22The ai cost reckoning why token bills are becoming the new cloud bill blog
- 2026-09-16Ai impact data cloud spend blog
Events in person
Last twelve months
- June 17, 2026 to June 18, 2026Hands-on sessions and wrap-upMoscone Center, San Francisco, USA · attended
- June 16, 2026Databricks Data + AI summit Day 2Moscone Center, San Francisco, USA · attended
- June 15, 2026 to June 18, 2026Databricks Data + AI Summit 2026Moscone Center, San Francisco, USA · attended
- June 15, 2026Databricks Data + AI summit Day 1Moscone Center, San Francisco, USA · attended
- June 1, 2026 to June 4, 2026Snowflake Summit 2026Moscone Center, San Francisco · attended
As the event pages on flexera.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page flexera.com 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow Snow Software
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.
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 Snow Software'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 Snow Software, 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 Snow Software by email, built from the raw record of the edition. It shows:
- where Snow Software 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 Snow Software, 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.