Every category where a model named Slab 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
IT documentation	IT operations and endpoint	0%	34 of 92	0%	3	under 10 labels · led by Hudu at 17%

Movement

This is the first edition on this tier, so no move can be computed for Slab yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

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

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	1	1	2
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	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

Direct3 labelsNone

Paraphrase1 labelNone

Comparative6 labelsNone

Budget-constrained2 labelsNone

Scale-constrained6 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative20 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.

“For lightweight, clean wikis: Slab or Nuclino” Mistral Small · IT documentation · comparative 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 Slab, over the 20 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Slab was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Notion18 of 203Not among the top eight

Confluence15 of 205Not among the top eight

Guru12 of 200Not among the top eight

Nuclino8 of 200Not among the top eight

Tettra7 of 200Not among the top eight

IT Glue6 of 202Not among the top eight

Document3606 of 201Not among the top eight

ClickUp Docs6 of 200Not among the top eight

GitBook5 of 200Not among the top eight

Slite5 of 200Not 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 Slab. 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 20 answers that named Slab and are not a share of its labels.

Domains cited

document360.com10

ones.com9

docsie.io8

eesel.ai7

nuclino.com7

slite.com6

startup-house.com6

fabric.so5

resources.rework.com5

viasocket.com5

No domain is on file for Slab, so its own site is not marked.

Pages cited

document360.com/blog/it-documentation-software10

eesel.ai/blog/confluence-alternatives6

startup-house.com/blog/modern-technical-documentation-tools6

resources.rework.com/tools/productivity/best-knowledge-management-software-20265

slite.com/learn/knowledge-base-softwares5

aimultiple.com/it-documentation-software4

ferndesk.com/blog/best-it-documentation-software4

atera.com/blog/best-it-documentation-software3

Pages are listed as the models cited them.

Search and answers

Where Slab stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 27,100 a month (“slab”)
AI search demand for its name, est.: 55,130 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 34 of 92 in IT documentation

Segment leader

17%

Hudu

First choices: 0 across its categories
Named in: 20 answers
Its own site cited: No site on file to match

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.

Follow Slab

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.

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 Slab'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 Slab, 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 Slab by email, built from the raw record of the edition. It shows:

where Slab 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 Slab, 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.