GTM AI Index
Index Vendors › Notion · September 2026 Edition
7 categories · Ranked

Notion

203Judge labels
27First choices
42Negative labels
12 of 12Models named it
7Categories
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
38% in Knowledge base for small business buyers
Rank 1 of 96 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 22% of its 46 labels there were negative.
By buyer segmentA small-business product: leader at small business, not named at enterprise.
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 Notion 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-serviceCustomer18%1 of 9622%46accepted challenger
Content marketing platformsMarketing0%20 of 1590%8under 10 labels · led by HubSpot Content Hub at 30%
Customer success platformsCustomer0%19 of 690%2under 10 labels · led by ChurnZero at 39%
Sales enablement and contentSales0%28 of 810%2under 10 labels · led by Dock at 19%
Community platformsCustomer0%46 of 740%1under 10 labels · led by Higher Logic Vanilla at 23%
CRMRevenue operations0%69 of 71100%1under 10 labels · led by HubSpot CRM at 41%
Customer education and LMSCustomer0%67 of 81100%1under 10 labels · led by TalentLMS at 33%

Movement

This is the first edition on this tier, so no move can be computed for Notion 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 Notion across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501102
GPT-5.4 mini11114
Gemini 3.5 Flash14128
Perplexity Sonar10214
Grok 4.1 Fast11226
Mistral Small01315
DeepSeek V4 Flash20327
Llama 4 Maverick00202
Qwen 3.7 Flash31127
Kimi K211305
GLM 4.7 FlashX13206
MiniMax M2.513015

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
Direct33 labels7
Paraphrase17 labels1
Comparative44 labels10not counted in share
Budget-constrained44 labels18
Scale-constrained25 labels1
Negative40 labels3not counted in share
First choiceAlternativeMentionNegative203 labels in all, every segment counted; 27 of the 40 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.

“Choose Notion if you are a startup of fewer than 50 people looking for a highly visual, collaborative workspace to build a company wiki.” Gemini 3.5 Flash · Knowledge base · budget prompt · first choice
“the strongest default choice is usually Notion if you want a flexible internal knowledge base, because it has a free plan” Perplexity Sonar · Knowledge base · budget prompt · first choice
“For an internal team wiki, Notion (SMB flexibility) or Confluence (engineering/Atlassian) are the safe defaults” DeepSeek V4 Flash · Knowledge base · comparative prompt · first choice
“1. Notion (Free Personal Plan) ... Zero cost & easy setup | Notion (free tier) or Docsio” Kimi K2 · Knowledge base · budget prompt · first choice

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.

“If you use a PM tool as your primary CRM, you will end up drowning in manual data entry” Gemini 3.5 Flash · CRM · negative prompt · hard negative
“Notion is highly popular, but its greatest strength—unlimited flexibility—is also its fatal flaw for team knowledge.... Otherwise, avoid it.” Gemini 3.5 Flash · Knowledge base · negative prompt · soft negative
“tools like Notion are more often positioned as flexible internal starting points rather than the strongest dedicated KB platform” Perplexity Sonar · Knowledge base · direct prompt · soft negative
“Notion or ClickUp, though they're usually less ideal than Zendesk/Confluence for a mature B2B support operation” GPT-5.4 mini · Knowledge base · direct prompt · soft negative

Named alongside

The products named in the same answers as Notion, over the 203 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Notion was named but was not.
ProductSame answerTook the first choice insteadHead to head
Confluence111 of 2036Not in the top three
Guru82 of 2033Not in the top three
Slite65 of 2037Not in the top three
Helpjuice50 of 2037Not in the top three
Tettra47 of 2030Not in the top three
Nuclino45 of 2032Not in the top three
Zendesk Guide43 of 2031Not in the top three
Slab42 of 2034Not in the top three
Zendesk32 of 2031Not 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 Notion. 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 26 of the 203 answers that named Notion and are not a share of its labels.

Domains cited

slite.com15
ferndesk.com12
learn.g2.com9
assembly.com8
peoplemanagingpeople.com7
softr.io7
zendesk.com7
bolddesk.com6
g2.com6
knowledge-base.software6

Eighty-three of the eighty-three domain citations in answers naming Notion came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Notion

What the judge wrote, as written, with how often. The vendor table decides that these count as Notion; a claim can dispute any of them.
Google Sites/Notion 1Notion / Asana 1

The company

Notion.
Website
notion.com
Headquarters
United States
Founded
2016

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 · LinkedIn

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 Notion'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 Notion, 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 notion.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.