HR AI Index
Index Vendors › Go1 · September 2026 Edition
3 categories · Ranked

Go1

30Judge labels
3First choices
4Negative labels
10 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
0% in Online course libraries for enterprise buyers
Rank 26 of 73 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 25% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
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 Go1 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
Online course librariesLearning and development0%26 of 7325%8under 10 labels · led by Udemy Business at 32%
Compliance trainingLearning and development0%38 of 800%2under 10 labels · led by Traliant at 22%
Learning experience platformsLearning and development0%27 of 800%1under 10 labels · led by Learn Amp at 28%

Movement

This is the first edition on this tier, so no move can be computed for Go1 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 Go1 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 mini01001
Gemini 3.5 Flash01001
Perplexity Sonar01113
Grok 4.1 Fast00112
Mistral Small00000
DeepSeek V4 Flash00202
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00101
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 labelsNone
Paraphrase3 labels2
Comparative14 labels2not counted in share
Budget-constrained4 labels1
Scale-constrained0 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative30 labels in all, every segment counted; 3 of the 5 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.

“Best if you want curated content at scale and can spend more: Go1” GPT-5.4 mini · Learning experience plat · budget prompt · alternative
“Best if you prioritize catalog breadth over formal credentials” Perplexity Sonar · Online course libraries · direct prompt · alternative
“Go1: Best "Consolidated" One-Stop-Shop (Content Aggregator)” Gemini 3.5 Flash · Online course libraries · direct prompt · alternative
“Best for Content Variety: Go1” Kimi K2 · Online course libraries · 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.

“Aggregators (OpenSesame, Go1) ... Poor quality control, irrelevant content, tech glitches” Grok 4.1 Fast · Online course libraries · negative prompt · hard negative
“Examples mentioned in the search results as aggregators include Go1, BizLibrary, and OpenSesame, which are not necessarily bad choices, but should be evaluated carefully” Perplexity Sonar · Online course libraries · negative prompt · soft negative

Named alongside

The products named in the same answers as Go1, over the 30 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Go1 was named but was not.
ProductSame answerTook the first choice insteadHead to head
LinkedIn Learning20 of 303Not in the top three
Udemy Business17 of 303Not in the top three
Skillsoft Percipio17 of 301Not in the top three
Coursera for Business16 of 302Not in the top three
OpenSesame16 of 300Not in the top three
Pluralsight13 of 301Not in the top three
TalentLMS9 of 302Not in the top three
GoodHabitz9 of 301Not in the top three
BizLibrary9 of 300Not in the top three
Docebo5 of 301Not 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 Go1. 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 27 of the 30 answers that named Go1 and are not a share of its labels.

Names read as Go1

What the judge wrote, as written, with how often. The vendor table decides that these count as Go1; a claim can dispute any of them.
BizLibrary/Go1 1Go1 / Udemy Business 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 Go1'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 Go1, 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 go1.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.