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

Tettra

49Judge labels
0First choices
15Negative labels
10 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
0% in Knowledge base for mid-market buyers
Rank 30 of 96 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 20% of its 15 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 Tettra 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-serviceCustomer0%30 of 9620%15accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Tettra 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 Tettra across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00101
Grok 4.1 Fast00202
Mistral Small00112
DeepSeek V4 Flash00123
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200303
GLM 4.7 FlashX00101
MiniMax M2.500101

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
Direct7 labelsNone
Paraphrase0 labelsNone
Comparative18 labelsNone
Budget-constrained7 labelsNone
Scale-constrained3 labelsNone
Negative14 labelsNone
First choiceAlternativeMentionNegative49 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.

No positive label carried a quote.

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.

“Recommended to avoid if your team primarily uses Microsoft Teams” DeepSeek V4 Flash · Knowledge base · negative prompt · hard negative
“Tools Requiring Caution ... Tettra ... Limited compliance certifications compared to competitors” Mistral Small · Knowledge base · negative prompt · soft negative
“Watch for minimum user requirements (Tettra requires 10 users)” DeepSeek V4 Flash · Knowledge base · budget prompt · soft negative

Named alongside

The products named in the same answers as Tettra, over the 49 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Tettra was named but was not.
ProductSame answerTook the first choice insteadHead to head
Notion47 of 4920Not in the top three
Confluence42 of 493Not in the top three
Nuclino37 of 491Not in the top three
Document36036 of 491Not in the top three
Guru34 of 490Not in the top three
Slite30 of 497Not in the top three
Helpjuice26 of 490Not in the top three
Slab22 of 492Not in the top three
HelpDocs16 of 490Not in the top three
Zendesk Guide15 of 490Not 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 Tettra. 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 7 of the 49 answers that named Tettra and are not a share of its labels.

Domains cited

slite.com6
ferndesk.com5
bettermode.com3
desk365.io3
exoplatform.com3
knowledge-base.software3
learn.g2.com3
linkedin.com3
monday.com3
productlift.dev3

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

Pages cited

Pages are listed as the models cited them.

Names read as Tettra

What the judge wrote, as written, with how often. The vendor table decides that these count as Tettra; a claim can dispute any of them.
Nuclino/Tettra 1
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 Tettra'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 Tettra, 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 tettra.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.