GTM AI Index
Index Vendors › eGain AI Knowledge Hub · September 2026 Edition
1 category · Named, not ranked

eGain AI Knowledge Hub

4Judge labels
0First choices
0Negative labels
3 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. eGain AI Knowledge Hub was named 1 time in Knowledge base, where Notion led with 18%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In knowledge base · 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 eGain AI Knowledge Hub 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
Knowledge base and self-serviceCustomer0%72 of 960%1under 10 labels · led by Notion at 18%

Movement

This is the first edition on this tier, so no move can be computed for eGain AI Knowledge Hub yet. The next is due October 1, 2026. 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 eGain AI Knowledge Hub 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 Sonar00101
Grok 4.1 Fast00000
Mistral Small00000
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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative4 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative4 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.

No model argued against it.

Named alongside

The products named in the same answers as eGain AI Knowledge Hub, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and eGain AI Knowledge Hub was named but was not.
ProductSame answerTook the first choice insteadHead to head
Guru4 of 40Not in the top three
Bloomfire3 of 40Not in the top three
Confluence3 of 40Not in the top three
Document3603 of 40Not in the top three
Slite2 of 41Not in the top three
Notion2 of 40Not in the top three
Zendesk Guide2 of 40Not in the top three
Zendesk Knowledge / Guide2 of 40Not in the top three
Atlassian Confluence1 of 40Not in the top three
GitBook1 of 40Not 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 eGain AI Knowledge Hub. 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 2 of the 4 answers that named eGain AI Knowledge Hub and are not a share of its labels.

Domains cited

assembly.com2
egain.comYour site2
freshworks.com2
kapture.cx2
plain.com2
productlift.dev2
saascrmreview.com2
slite.com2
zendesk.com2
atlan.com1

Seventeen of the nineteen domain citations in answers naming eGain AI Knowledge Hub came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

eGain is the company behind eGain AI Knowledge Hub.
Website
egain.com
Headquarters
Sunnyvale, United States
Founded
1997
Ownership
Public, EGAN on Nasdaq

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

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 eGain AI Knowledge Hub'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 eGain AI Knowledge Hub, 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 egain.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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