Every category where a model named Huntress 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
AI security platforms	Security operations	2%	19 of 233	0%	2	under 10 labels · led by SentinelOne Singularity at 11%
Client-side protection	Security operations	0%	89 of 120	0%	1	under 10 labels · led by cside at 13%
Email security	Security operations	0%	48 of 76	0%	1	under 10 labels · led by Microsoft Defender for Office 365 at 32%	newNew since September 2026: not ranked then, 0% now.

Movement

This is the first edition on this tier, so no move can be computed for Huntress yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Huntress 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	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	0	0	0
Grok 4.20	0	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	1	0	0	1
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	1	0	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

Direct7 labelsNone

Paraphrase3 labelsNone

Comparative4 labels2not counted in share

Budget-constrained11 labels2

Scale-constrained5 labels1

Negative7 labels1not counted in share

First choiceAlternativeMentionNegative37 labels in all, every segment counted; 3 of the 6 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.

“If you want peace of mind & proactive defense: Choose Huntress.” Qwen 3.7 Flash · AI security · budget prompt · first choice

“Best for 24/7 AI‑SOC with Human Oversight: Huntress” GLM 4.7 FlashX · AI security · 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.

No model argued against it.

Named alongside

The products named in the same answers as Huntress, over the 37 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Huntress was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Darktrace12 of 370Not among the top eight

Microsoft Defender for Cloud11 of 378Not among the top eight

SentinelOne Singularity11 of 371Not among the top eight

CrowdStrike Falcon10 of 371Not among the top eight

Wazuh7 of 371Not among the top eight

Vectra AI7 of 370Not among the top eight

CrowdStrike Falcon Go6 of 372Not among the top eight

Blumira6 of 371Not among the top eight

Arctic Wolf5 of 370Not among the top eight

Blackpoint Cyber5 of 370Not 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 Huntress. 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 35 of the 37 answers that named Huntress and are not a share of its labels.

Domains cited

huntress.comYour site15

g2.com14

underdefense.com13

sourceforge.net12

fueler.io9

acronis.com8

reddit.com8

securityboulevard.com8

sentinelone.com8

resources.rework.com7

Eighty-seven of the 102 domain citations in answers naming Huntress came from somebody else's page.

Pages cited

underdefense.com/blog/ai-soc-for-smb11

underdefense.com/blog/most-affordable-ai-soc-platforms9

acronis.com/en/blog/posts/best-ai-security-tools-smb7

resources.rework.com/tools/ai-tools/best-ai-tools-for-cybersecurity-20267

getastra.com/blog/ai-security/ai-security-tools6

sourceforge.net/software/ai-cybersecurity/for-small-business6

thetechedvocate.org/why-your-small-business-needs-these-ai-cybersecurity-platforms-now6

cybersecuritynews.com/best-ndr-solutions5

Pages are listed as the models cited them.

Search and answers

huntress.com is not in Google's top ten for any of the category's searches. In the answers, Huntress takes 2% of first choices and SentinelOne Singularity takes 11%.

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In search

Google, US estimates

Position for “ai security platform”

–

not in the top ten

Position for “ai security platforms”

–

not in the top ten

Searches for its name, Google: 33,100 a month (“huntress”)
AI search demand for its name, est.: 4,338 a month
Organic visits to its site: about 352,368 a month
Searches its site ranks for: 27,922 · 2,764 in the top three
Sites linking to it: 8,631
Paid Google search: 24 searches its ads show for, about 681 clicks and $15,522 a month (estimate)

Ads on GoogleDetailLess

120+ ads · 80 text, 29 video, 11 image · 120 shown in the last 30 days

First shown September 2023, as Huntress Labs Inc., verified. Ads started 2025-10 to 2026-09: 82 in the year, 38 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 19 of 233 in AI security

Segment leader

11%

SentinelOne Singularity

First choices: 3 across its categories
Named in: 37 answers
Its own site cited: in 35 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 huntress.com

3,042

subdomains included

Content

1,259

counted in the table below

Documentation

Product · Integration

160 · 3

Kind	Pages	Last 90 days	Latest
Blog	1,005	103	2026-09-28
Case study	95	undated
Comparison	59	1	2026-09-03
Glossary or explainer	58	2	2026-08-06
Template or tool	18	1	2026-07-10
News or press	10	undated
Webinar or virtual event	7	undated
Conference or event	4	0	2026-06-09
Report or ebook	3	undated

Most recent

2026-09-28Privilege hygiene least privilege best practices blog
2026-09-28Chatgpt custom gpts clickfix rat blog
2026-09-25Culture at speed blog
2026-09-24Managed or modified choose how huntress hardens microsoft 365 blog
2026-09-24Threat actor compiles cryptominer blog
2026-09-23Rogue rmm abuse phishing persistent access blog

How it is countedHide how it is counted

Every page huntress.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 Huntress

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

Huntress is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: A managed cybersecurity platform / managed security platform with 24/7 AI-Centric SOC-backed protection for endpoints, email, identities, and employees.
huntress.com
For: organizations of all sizes
huntress.com
Price stated: Predictable pricing with no noise, just meaningful alerts. huntress.com
Starting price: $1.75/month huntress.com/pricing
Free plan or trial: Start for Free / Try Huntress for free huntress.com
Certifications: CVE Numbering Authority (CNA)SOC 2 Type 2CCPAGDPR
Customers named: Clear Guidance PartnersConnecting PointBlack Swan Cyber Security SolutionsRudick Innovation and TechnologyDrataInnovative Communication SystemsLightbulb NetworksTotal Technology Resources
Not stated on the pages read: Integrations, hosting

What Huntress's own pages state, read September 28, 2026: huntress.com, huntress.com/pricing, trust.huntress.com, huntress.com/platform, huntress.com/why-huntress/case-studies. 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 Huntress'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 Huntress, 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 Huntress by email, built from the raw record of the edition. It shows:

where Huntress 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 Huntress, 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.