Every category where a model named OSV-Scanner 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
Software composition analysis	Developer platform	2%	9 of 50	0%	12	accepted challenger	▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

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

Best category · SCA · by segment

Small business▼−1Since September 2026: 2% → 2%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.

2%from 2% in September 2026

Inside the floor by 10 pointsRank 7 → 10 of 44

Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

2%from 0% in September 2026

Inside the floor by 9 pointsRank 15 → 9 of 43

Enterprise▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

4%from 0% in September 2026

Inside the floor by 7 pointsRank 17 → 8 of 47

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
SCA	0%	2%	▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 15 → 9 of 50

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 OSV-Scanner across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	2	0	2
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	1	0	1
Perplexity Sonar	0	1	0	1
Grok 4.20	0	1	0	1
Mistral Small	1	0	0	1
DeepSeek V4 Flash	0	1	1	2
Llama 4 Maverick	0	0	1	1
Qwen 3.7 Flash	0	1	0	1
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	1	1
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	1	1

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

Direct1 labelNone

Paraphrase21 labels4

Comparative2 labelsNone

Budget-constrained7 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative32 labels in all, every segment counted; 4 of the 4 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.

“OSV-Scanner is a strong recommendation due to its simplicity, direct integration with the OSV database” Mistral Small · SCA · paraphrase prompt · first choice

“OSV-Scanner is a free open-source vulnerability scanner for teams wanting lightweight software composition analysis” Claude Haiku 4.5 · SCA · budget prompt · alternative

“Minimal FPs, lockfile-focused | Limited to supported ecosystems, no IaC/secrets | Quick JS/Rust/Python checks” Grok 4.20 · SCA · paraphrase prompt · alternative

“OSV-Scanner (Google's tool) is a great single-tool entry point with excellent accuracy” DeepSeek V4 Flash · SCA · paraphrase 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 OSV-Scanner, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OSV-Scanner was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Trivy26 of 3217Not among the top eight

OWASP Dependency-Check25 of 324Not among the top eight

Grype20 of 320Not among the top eight

Snyk Open Source15 of 323Not among the top eight

Syft13 of 320Not among the top eight

OWASP Dependency-Track10 of 323Not among the top eight

GitHub Dependabot9 of 323Not among the top eight

Black Duck6 of 320Not among the top eight

FOSSA5 of 321Not among the top eight

Mend.io4 of 320Not 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 OSV-Scanner. 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 31 of the 32 answers that named OSV-Scanner and are not a share of its labels.

Domains cited

appsecsanta.com22

guideflow.com19

safeguard.sh17

aikido.dev15

checkmarx.com10

github.com10

orca.security10

craci.com9

dev.to8

wiz.io8

128 of the 128 domain citations in answers naming OSV-Scanner came from somebody else's page.

Pages cited

appsecsanta.com/sca-tools/open-source-sca-tools15

guideflow.com/blog/software-composition-analysis-tools12

safeguard.sh/resources/blog/best-open-source-software-composition-analysis-sca-tools12

guideflow.com/blog/dependency-scanning-software11

aikido.dev/blog/top-open-source-dependency-scanners10

appsecsanta.com/sca-tools10

checkmarx.com/learn/sca/sca-tools-key-capabilities-11-tools-to-watch-in-202610

craci.com/compare/sca-tools8

Pages are listed as the models cited them.

Search and answers

osv.dev is not in Google's top ten for any of the category's searches. In the answers, OSV-Scanner takes 2% of first choices and Trivy takes 31%.

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In search

Google, US estimates

Position for “software composition analysis tool”

–

not in the top ten

Position for “software composition analysis tools”

–

not in the top ten

Searches for its name, Google: 390 a month (“osv-scanner”)
AI search demand for its name, est.: 22 a month
Organic visits to its site: about 749 a month
Searches its site ranks for: 568 · 16 in the top three
Sites linking to it: 2,253
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on Google

None found in Google's ad transparency records for the US

In answers

This edition

Share of first choices

rank 9 of 50 in SCA

Segment leader

31%

Trivy

First choices: 4 across its categories
Named in: 32 answers
Its own site cited: in 31 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 osv.dev

47,093

subdomains included

Content

counted in the table below

Documentation

Product · Integration

0 · 0

Kind	Pages	Last 90 days	2025-10 to 2026-09	Latest	Categories named
Blog	23	undated

How it is countedHide how it is counted

Every page osv.dev 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.

Follow OSV-Scanner

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

OSV-Scanner is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Vulnerability Scanner
osv.dev
Not stated on the pages read: Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers

What OSV-Scanner's own pages state, read September 28, 2026: osv.dev. 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 OSV-Scanner'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 OSV-Scanner, 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 OSV-Scanner by email, built from the raw record of the edition. It shows:

where OSV-Scanner 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 OSV-Scanner, 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.