IT AI Index
Index › Vendors › EasyLlama · September 2026 Edition
1 category · Ranked

EasyLlama

13Judge labels
1First choices
1Negative labels
9 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
2% in Awareness training for small business buyers
Rank 45 of 65 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 1 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business8 of 50
2%12 labels
accepted challenger
Mid-market45 of 65
0%1 label
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In awareness training · 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 EasyLlama 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Security awareness trainingSecurity operations0%45 of 650%1under 10 labels · led by KnowBe4 at 42%

Movement

This is the first edition on this tier, so no move can be computed for EasyLlama 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 EasyLlama across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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 labels1
Paraphrase0 labelsNone
Comparative6 labels1not counted in share
Budget-constrained2 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative13 labels in all, every segment counted; 1 of the 2 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.

No positive label carried a quote.

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 EasyLlama, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and EasyLlama was named but was not.
ProductSame answerTook the first choice insteadHead to head
Huntress Managed Security Awareness Training11 of 133Not in the top three
KnowBe49 of 132Not in the top three
Wizer8 of 133Not in the top three
Hook Security6 of 133Not in the top three
Hoxhunt5 of 131Not in the top three
AwareGO3 of 131Not in the top three
SoSafe3 of 131Not in the top three
CanIPhish3 of 130Not in the top three
Arctic Wolf Managed Security Awareness2 of 130Not in the top three
Barracuda2 of 130Not 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 EasyLlama. 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 12 of the 13 answers that named EasyLlama and are not a share of its labels.

Domains cited

easyllama.comYour site12
adaptivesecurity.com9
hoxhunt.com9
expertinsights.com8
learn.g2.com8
gartner.com5
hooksecurity.co5
dataconomy.com4
doozy.live4
g2.com4

Fifty-six of the sixty-eight domain citations in answers naming EasyLlama came from somebody else's page.

Pages cited

easyllama.com/blog/best-security-awareness-training-providers12
hoxhunt.com/blog/best-security-awareness-training9
expertinsights.com/security-awareness-training/the-top-security-awareness-training-platfor8
learn.g2.com/best-security-awareness-training-software8
adaptivesecurity.com/blog/best-security-awareness-training-small-businesses5
adaptivesecurity.com/blog/security-awareness-training-platforms5
gartner.com/reviews/market/security-awareness-computer-based-training5
hooksecurity.co/blog/best-security-awareness-training-small-business5

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 EasyLlama'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 EasyLlama, 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 easyllama.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.

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