Every category where a model named Expel 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
Managed detection and response	Security operations	4%	5 of 45	4%	23	accepted challenger
SIEM platforms	Security operations	0%	16 of 49	0%	2	under 10 labels · led by Microsoft Sentinel at 41%
Extended detection and response	Security operations	0%	41 of 61	0%	1	under 10 labels · led by Microsoft Defender XDR at 63%

Movement

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

By model

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

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	0	0	1
GPT-5.4 mini	1	0	0	0	1
Gemini 3.5 Flash	0	2	3	0	5
Perplexity Sonar	0	1	1	0	2
Grok 4.1 Fast	0	2	0	0	2
Mistral Small	0	1	0	0	1
DeepSeek V4 Flash	1	3	0	1	5
Llama 4 Maverick	0	1	0	0	1
Qwen 3.7 Flash	0	1	0	0	1
Kimi K2	0	3	0	0	3
GLM 4.7 FlashX	0	3	0	0	3
MiniMax M2.5	0	1	0	0	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

Direct9 labels1

Paraphrase10 labels2

Comparative20 labelsNone

Budget-constrained7 labels2

Scale-constrained11 labelsNone

Negative6 labels1not counted in share

First choiceAlternativeMentionNegative63 labels in all, every segment counted; 5 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.

“Start by evaluating Arctic Wolf ... or Expel (if you're cloud-first)” DeepSeek V4 Flash · MDR · direct prompt · first choice

“my default recommendation would be Expel” GPT-5.4 mini · MDR · paraphrase prompt · first choice

“Expel, Red Canary, or Blackpoint Cyber: These are Managed Detection and Response (MDR) providers.” Gemini 3.5 Flash · SIEM · scale prompt · alternative

“Best transparency – full visibility into detections, analyst notes, and containment actions.” GLM 4.7 FlashX · MDR · 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.

“Avoid enterprise-tier providers (Arctic Wolf, CrowdStrike Falcon Complete, Expel, Red Canary)” DeepSeek V4 Flash · MDR · budget prompt · hard negative

Named alongside

The products named in the same answers as Expel, over the 63 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Expel was named but was not.

ProductSame answerTook the first choice insteadHead to head

Arctic Wolf Managed Detection and Response45 of 637Not in the top three

CrowdStrike Falcon Complete43 of 6317Not in the top three

Huntress Managed EDR39 of 6317Not in the top three

Sophos MDR39 of 634Not in the top three

Red Canary39 of 631Not in the top three

SentinelOne Singularity MDR21 of 631Not in the top three

Rapid7 MDR18 of 630Not in the top three

eSentire16 of 632Not in the top three

Ontinue13 of 630Not in the top three

Unit 42 Managed Detection and Response10 of 630Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 Expel. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 54 of the 63 answers that named Expel and are not a share of its labels.

Domains cited

gbhackers.com40

cybersecuritynews.com29

learn.g2.com29

checkthat.ai18

defendify.com18

huntress.com18

cyberpress.org16

consilien.com15

mdrproviders.io15

gartner.com13

211 of the 211 domain citations in answers naming Expel came from somebody else's page.

Pages cited

gbhackers.com/best-mdr-services-compared40

learn.g2.com/top-mdr-providers29

cybersecuritynews.com/best-mdr-services22

defendify.com/blog/managed-detection-and-response-providers18

checkthat.ai/answers/what-are-the-best-managed-detection-and-response-solutions17

huntress.com/cybersecurity-insights/managed-detection-response-vendors17

consilien.com/news/best-mdr-providers-smb-202615

cyberpress.org/mdr-services-to-consider15

Pages are listed as the models cited 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 Expel'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 Expel, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at expel.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.