GTM AI Index
Index Vendors › Spekit · September 2026 Edition
4 categories · Ranked

Spekit

122Judge labels
4First choices
13Negative labels
12 of 12Models named it
4Categories
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 Sales coaching for mid-market buyers
Rank 8 of 124 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 8% of its 13 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In sales coaching · 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 Spekit 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
Sales coaching and trainingSales4%8 of 1248%13accepted challenger
Sales enablement and contentSales2%11 of 813%29accepted challenger
Digital adoption and onboardingCustomer0%15 of 5812%8under 10 labels · led by Userpilot at 29%
Digital sales roomsSales0%57 of 5967%3under 10 labels · led by Aligned at 40%

Movement

This is the first edition on this tier, so no move can be computed for Spekit 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 Spekit across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500202
GPT-5.4 mini01001
Gemini 3.5 Flash04004
Perplexity Sonar02114
Grok 4.1 Fast03104
Mistral Small05117
DeepSeek V4 Flash02215
Llama 4 Maverick03104
Qwen 3.7 Flash21205
Kimi K2251210
GLM 4.7 FlashX03104
MiniMax M2.512003

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
Direct27 labels2
Paraphrase12 labels2
Comparative38 labels1not counted in share
Budget-constrained6 labelsNone
Scale-constrained10 labelsNone
Negative29 labels4not counted in share
First choiceAlternativeMentionNegative122 labels in all, every segment counted; 4 of the 9 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.

“either SalesHood ... or Spekit (if contextual learning and workflow integration are priorities)” MiniMax M2.5 · Sales coaching · paraphrase prompt · first choice
“Use internal documentation (Notion, Confluence) + Spekit for contextual delivery” Kimi K2 · Sales enablement · negative prompt · first choice
“1. Spekit — Best for In-Workflow Training & Knowledge Delivery” Qwen 3.7 Flash · Sales coaching · paraphrase prompt · first choice
“Stick to lighter-weight tools like Spekit or Convo.” Qwen 3.7 Flash · Sales enablement · negative 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.

“Coming up short as a genuine digital sales room. Invest elsewhere if DSR is your primary need.” DeepSeek V4 Flash · Sales rooms · negative prompt · hard negative
“Integration hiccups: Can disrupt workflows users are trying to improve” Mistral Small · Sales enablement · negative prompt · hard negative
“Spekit and Trainual are good for documentation/reference but don't actually provide conversation practice or skill analytics” Kimi K2 · Sales coaching · negative prompt · soft negative
“these may be fine for light use, but they are not ideal if you need robust buyer engagement” Perplexity Sonar · Sales rooms · negative prompt · soft negative

Named alongside

The products named in the same answers as Spekit, over the 122 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Spekit was named but was not.
ProductSame answerTook the first choice insteadHead to head
Seismic75 of 12216Not in the top three
MindTickle74 of 12212Not in the top three
Highspot70 of 12211Not in the top three
Allego61 of 1224Not in the top three
Showpad52 of 1221Not in the top three
SalesHood50 of 1227Not in the top three
Dock44 of 1228Not in the top three
Gong39 of 1225Not in the top three
HubSpot Sales Hub31 of 12210Not in the top three
Pendo22 of 1222Not 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 Spekit. 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 16 of the 122 answers that named Spekit and are not a share of its labels.

Domains cited

mindtickle.com12
spekit.comYour site8
learn.g2.com7
dock.us6
paperflite.com6
pitchmonster.io6
salesmotion.io6
guideflow.com5
mutinyhq.com5
alpharun.com4

Fifty-seven of the sixty-five domain citations in answers naming Spekit came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Spekit

What the judge wrote, as written, with how often. The vendor table decides that these count as Spekit; a claim can dispute any of them.
Spekit / GTM Buddy 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 Spekit'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 Spekit, 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 spekit.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.