GTM AI Index
Index Vendors › Slab · September 2026 Edition
1 category · Ranked

Slab

44Judge labels
4First choices
0Negative labels
11 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.
Best standing
4% in Knowledge base for mid-market buyers
Rank 9 of 96 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 11 labels there were negative.
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 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Knowledge base and self-serviceCustomer4%9 of 960%11accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Slab 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 Slab 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 mini00202
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast00101
Mistral Small10001
DeepSeek V4 Flash00202
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX10102
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
Direct5 labelsNone
Paraphrase0 labelsNone
Comparative10 labels1not counted in share
Budget-constrained16 labels4
Scale-constrained7 labelsNone
Negative6 labels1not counted in share
First choiceAlternativeMentionNegative44 labels in all, every segment counted; 4 of the 6 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.

“If you have zero technical capacity, Slab's free tier (up to 10 users) is your best bet for immediate needs.” Mistral Small · Knowledge base · budget prompt · first choice
“Use Notion or Slab (hosted) - free for small teams” GLM 4.7 FlashX · Knowledge base · budget prompt · first choice
“Internal wiki: Notion or Slab; Slab is free for teams up to 10 users” Perplexity Sonar · Knowledge base · budget prompt · alternative
“Other options include Slab for internal docs” Llama 4 Maverick · Knowledge base · budget 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 44 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.
ProductSame answerTook the first choice insteadHead to head
Notion42 of 4422Not in the top three
Confluence36 of 442Not in the top three
Document36025 of 441Not in the top three
Guru23 of 440Not in the top three
Nuclino22 of 440Not in the top three
Tettra22 of 440Not in the top three
Slite20 of 447Not in the top three
Helpjuice18 of 440Not in the top three
BookStack15 of 440Not in the top three
HelpDocs15 of 440Not 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 Slab. 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 5 of the 44 answers that named Slab and are not a share of its labels.

Domains cited

assembly.com4
bolddesk.com4
ferndesk.com4
knowledgeowl.com4
learn.g2.com4
peoplemanagingpeople.com4
slite.com4
zendesk.com4
featurebase.app3
freshworks.com3

Thirty-eight of the thirty-eight domain citations in answers naming Slab came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 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.

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 slab.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.