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GTM AI Index
Index › Products › Slab · October 2026 Edition
1 category · Ranked

Slab

35Judge labels
3First choices
2Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
2% in Knowledge base for small business buyers
Rank 11 of 88 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 7 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 rateLabelsQuadrantSince September 2026
Knowledge base and self-serviceCustomer3%11 of 880%7under 10 labels · led by Notion at 21%▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

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

Best category · Knowledge base · by segment

Small business▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 8 → 12 of 75
Mid-market▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 4% in September 2026
Inside the floor by 9 pointsRank 9 → 15 of 85
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 12 → 52 of 79

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Knowledge base4%2%▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 9 → 11 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 Slab across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash11002
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.500101
GPT-6 Luna10001
Muse Glimmer 30B00101

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative13 labels3not counted in share
Budget-constrained10 labels3
Scale-constrained5 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative35 labels in all, every segment counted; 3 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.

“For a typical small company that wants a hosted, easy-to-run internal knowledge base, I'd start with Slab.” GPT-6 Luna · Knowledge base · budget prompt · first choice
“Go with Slab (for simple and organized) or Notion (for highly customizable).” Gemini 3.5 Flash · Knowledge base · budget prompt · first choice
“Alternative: Dedicated documentation hubs like Slite, Slab, or Notion.” Gemini 3.5 Flash · Knowledge base · negative prompt · alternative
“Want a clean, simple internal wiki | Slab or Nuclino” GLM 4.7 FlashX · 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 35 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
Notion34 of 3513Not among the top eight
Confluence29 of 353Not among the top eight
Guru19 of 350Not among the top eight
Document36017 of 350Not among the top eight
Slite14 of 350Not among the top eight
Tettra13 of 350Not among the top eight
Help Scout Docs10 of 351Not among the top eight
Zendesk Guide10 of 351Not among the top eight
BookStack8 of 350Not among the top eight
HelpDocs7 of 351Not 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 32 of the 35 answers that named Slab and are not a share of its labels.

Domains cited

learn.g2.com22
ferndesk.com14
mangoapps.com13
squibler.io11
helpdocs.io10
albato.com8
eesel.ai8
slite.com8
blog.screensteps.com6
bolddesk.com6

106 of the 106 domain citations in answers naming Slab came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

slab.com is not in Google's top ten for any of the category's searches. In the answers, Slab takes 3% 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
27,100 a month (“slab”)
AI search demand for its name, est.
55,130 a month
Organic visits to its site
about 17,637 a month
Searches its site ranks for
1,356 · 42 in the top three
Sites linking to it
3,062
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
3%
rank 11 of 88 in knowledge base
Segment leader
21%
Notion
First choices
3 across its categories
Named in
35 answers
Its own site cited
in 32 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

ShowHide
Addresses on slab.com
462
subdomains included
Content
199
counted in the table below
Documentation
155
Product · Integration
0 · 52
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Template or tool99undated
Blog52undated
Case study27undated
Report or ebook16undated
Comparison3undated
Conference or event2undated
How it is countedHide how it is counted

Every page slab.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 October 5, 2026.

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.

The company

Slab is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Knowledge Base & Wiki Software
For
non-technical and tech-savvy teams alike
Price stated
Use Slab free forever. No credit card required. slab.com/pricing
Starting price
0 slab.com/pricing
Free plan or trial
Free up to 10 users slab.com
Integrations claimed
10 slab.com/pricing
Certifications
SOC 3SOC 2 Type 2GDPR
Customers named
AsanaRocketmiles
Not stated on the pages read
Hosting

What Slab's own pages state, read October 5, 2026: slab.com, slab.com/pricing, slab.com/security, slab.com/features, slab.com/customer-stories. 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 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.

A verification link goes to your work email; an address at slab.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.