Every category where a model named Glean 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	Since September 2026
Knowledge base and self-service	Customer	2%	16 of 88	0%	4	under 10 labels · led by Notion at 21%	▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Glean held within the floor in its one category: no change cleared 11 points.

Best category · Knowledge base · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 67 → 55 of 75

Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

2%from 0% in September 2026

Inside the floor by 9 pointsRank 31 → 16 of 85

Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 15 → 20 of 79

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
Knowledge base	0%	2%	▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 31 → 16 of 88

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

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

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	1	2	0	3
Perplexity Sonar	0	0	0	0
Grok 4.20	0	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	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-constrained2 labelsNone

Scale-constrained4 labels1

Negative3 labels1not counted in share

First choiceAlternativeMentionNegative17 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.

“The gold standard for Enterprise Search.” Gemini 3.5 Flash · Knowledge base · scale prompt · first choice

“Choose Glean or Guru if you already have thousands of Google Docs and Slack channels” Gemini 3.5 Flash · Knowledge base · comparative prompt · alternative

“Best for Unifying Scattered Tool Stacks” Gemini 3.5 Flash · Knowledge base · direct 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.

No model argued against it.

Named alongside

The products named in the same answers as Glean, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Glean was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Guru14 of 171Not among the top eight

Confluence13 of 171Not among the top eight

Document36012 of 172Not among the top eight

Notion12 of 171Not among the top eight

Slite10 of 171Not among the top eight

Zendesk Guide8 of 170Not among the top eight

Bloomfire7 of 170Not among the top eight

Helpjuice5 of 171Not among the top eight

ServiceNow Knowledge Management5 of 170Not among the top eight

SharePoint4 of 170Not among the top eight

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

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 16 of the 17 answers that named Glean and are not a share of its labels.

Domains cited

slite.com9

eesel.ai7

monday.com7

peoplemanagingpeople.com7

bloomfire.com6

resources.rework.com5

squibler.io5

atlassian.com4

document360.com4

enjo.ai4

Fifty-eight of the fifty-eight domain citations in answers naming Glean came from somebody else's page.

Pages cited

slite.com/learn/knowledge-base-softwares9

peoplemanagingpeople.com/tools/best-knowledge-base-software7

monday.com/blog/service/enterprise-knowledge-base-platforms6

enjo.ai/post/best-knowledge-base-software4

ferndesk.com/blog/best-knowledge-base-for-small-teams4

medium.com/@ivanpalii/8-best-knowledge-management-software-for-agencies-enterprises-a337264

squibler.io/learn/software/knowledge-management-software4

bloomfire.com/blog/best-enterprise-knowledge-management-software3

Pages are listed as the models cited them.

Search and answers

glean.com is not in Google's top ten for any of the category's searches. In the answers, Glean takes 2% of first choices and Notion takes 21%.

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In search

Google, US estimates

Position for “knowledge base software”

–

not in the top ten

Position for “best knowledge base software”

–

not in the top ten

Searches for its name, Google: 90,500 a month (“glean”)
AI search demand for its name, est.: 2,135 a month
Organic visits to its site: about 64,191 a month
Searches its site ranks for: 3,166 · 361 in the top three
Sites linking to it: 7,538
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

120+ ads · 90 text, 15 image, 15 video · 17 shown in the last 30 days

First shown April 2024, as Glean Technologies, Inc., verified. Ads started 2025-11 to 2026-10: 113 in the year, 7 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 16 of 88 in knowledge base

Segment leader

21%

Notion

First choices: 1 across its categories
Named in: 17 answers
Its own site cited: in 16 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on glean.com

6,220

subdomains included

Content

991

counted in the table below

Documentation

1,400

Product · Integration

44 · 159

Kind	Pages	Last 90 days	Latest
Blog	367	undated
Template or tool	165	undated
News or press	128	undated
Report or ebook	104	undated
Webinar or virtual event	92	undated
Glossary or explainer	46	undated
Comparison	43	undated
Case study	31	undated
Conference or event	8	1	2026-08-26
Podcast or video	7	undated

Most recent

2026-08-26Glean GO 2026 AI conference | Transforming work with enterprise AI conference or event

How it is countedHide how it is counted

Every page glean.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow Glean

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Glean is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Enterprise AI platform connected to your enterprise's data. Find, create, and automate anything.
glean.com
For: enterprise
glean.com
Price stated: There is no fee to join the Glean Partner Network. glean.com/partners
Integrations claimed: 250 glean.com
Certifications: ISO 42001HIPAATX-RAMP Level 2SOC 2 Type IIISO 27001GDPRSOC 2ISO 27001:2022
Customers named: Booking.comZillowTIMEEricssonGCashDatabricksDBSHarvey AI
Not stated on the pages read: Starting price, free plan or trial, hosting

What Glean's own pages state, read October 5, 2026: glean.com, trust.glean.com, glean.com/platform, glean.com/resources/customer-stories, glean.com/partners. A claimed page can correct any of 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 Glean'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 Glean, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Glean by email, built from the raw record of the edition. It shows:

where Glean is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Glean, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.