HR AI Index

Index › Vendors › O'Reilly · September 2026 Edition

1 category · Named, not ranked

O'Reilly

15Judge labels

0First choices

4Negative labels

7 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. O'Reilly was named 3 times in Online course libraries, where Udemy Business led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business17 of 73

under the label threshold

Mid-market72 of 73

under the label threshold

Enterprise16 of 58

under the label threshold

In online course libraries · 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 O'Reilly 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
Online course libraries	Learning and development	0%	72 of 73	67%	3	under 10 labels · led by Udemy Business at 32%

Movement

This is the first edition on this tier, so no move can be computed for O'Reilly 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 O'Reilly across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative6 labelsNone

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative15 labels in all, every segment counted; 0 of the 0 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.

“Examples: LinkedIn Learning, Pluralsight, Safari Books Online. ... very expensive for individuals” Qwen 3.7 Flash · Online course libraries · negative prompt · soft negative

“Others like Skillsoft or O'Reilly are strong but pricier/enterprise-oriented.” Grok 4.1 Fast · Online course libraries · direct prompt · soft negative

Named alongside

The products named in the same answers as O'Reilly, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and O'Reilly was named but was not.

ProductSame answerTook the first choice insteadHead to head

Udemy Business15 of 156Not in the top three

LinkedIn Learning14 of 153Not in the top three

Coursera for Business11 of 152Not in the top three

Pluralsight11 of 151Not in the top three

Skillsoft Percipio5 of 151Not in the top three

edX4 of 150Not in the top three

Go13 of 151Not in the top three

Coursera3 of 150Not in the top three

Docebo3 of 150Not in the top three

OpenSesame3 of 150Not 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 O'Reilly. 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 9 of the 15 answers that named O'Reilly and are not a share of its labels.

Domains cited

g2.com7

linkedin.com6

business.linkedin.com5

oreilly.comYour site5

goodhabitz.com4

pluralsight.com4

bulkwp.com3

docebo.com3

elearningindustry.com3

peoplemanagingpeople.com3

Thirty-eight of the forty-three domain citations in answers naming O'Reilly came from somebody else's page.

Pages cited

business.linkedin.com/learn/compare-plans5

oreilly.com/resources/how-does-oreilly-compare-to-other-learning-platforms5

linkedin.com/pulse/corporate-learning-platforms-small-teams-practical-guide-vlad-levinas-x4

bulkwp.com/best-off-the-shelf-elearning-content-providers-for-employee-training-in-20263

docebo.com/learning-network/blog/lms-content-library3

g2.com/compare/coursera-for-business-vs-linkedin-linkedin-learning3

g2.com/compare/linkedin-linkedin-learning-vs-pluralsight3

goodhabitz.com/resources/blog/elearning-content-providers3

Pages are listed as the models cited them.

Names read as O'Reilly

What the judge wrote, as written, with how often. The vendor table decides that these count as O'Reilly; a claim can dispute any of them.

Safari Books Online 1

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 O'Reilly'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 O'Reilly, 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 oreilly.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.