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

GetAccept

229Judge labels
16First choices
38Negative 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
8% in Sales rooms for mid-market buyers
Rank 3 of 59 in the mid-market standingaccepted challenger
1 of 12 models made it the first choice on the direct prompt; 20% of its 49 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In sales rooms · 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 GetAccept 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
Digital sales roomsSales8%3 of 5920%49accepted challenger
Contract lifecycle management and e-signatureRevenue operations4%8 of 650%13accepted challenger
Proposal softwareRevenue operations0%15 of 7912%25accepted challenger
Sales enablement and contentSales0%22 of 810%3under 10 labels · led by Dock at 19%

Movement

This is the first edition on this tier, so no move can be computed for GetAccept 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 GetAccept across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502103
GPT-5.4 mini01001
Gemini 3.5 Flash06028
Perplexity Sonar11305
Grok 4.1 Fast15219
Mistral Small262111
DeepSeek V4 Flash051410
Llama 4 Maverick10708
Qwen 3.7 Flash13116
Kimi K2262212
GLM 4.7 FlashX06219
MiniMax M2.505218

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
Direct50 labels5
Paraphrase39 labels7
Comparative55 labels2not counted in share
Budget-constrained30 labels4
Scale-constrained21 labelsNone
Negative34 labels1not counted in share
First choiceAlternativeMentionNegative229 labels in all, every segment counted; 16 of the 19 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.

“Best Overall: GetAccept ... GetAccept offers the most complete solution for mid-market B2B companies” Mistral Small · Sales rooms · direct prompt · first choice
“I'd recommend GetAccept as a strong starting point for buyer engagement and deal room functionality.” Grok 4.1 Fast · Sales rooms · paraphrase prompt · first choice
“The best e-signature and contract management tools for mid-sized B2B companies are: 1. GetAccept” Llama 4 Maverick · CLM · paraphrase prompt · first choice
“GetAccept: Best all-in-one solution with native e-signatures and AI features” Mistral Small · Sales rooms · comparative 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.

“Trustpilot Rating: 1.7/5 (marked as "Bad")... Platform filled with bugs and usability problems” GLM 4.7 FlashX · Sales rooms · negative prompt · hard negative
“Avoid platforms like Dock, GetAccept, or Highspot for a limited budget” Qwen 3.7 Flash · Sales rooms · budget prompt · hard negative
“GetAccept - Due to Trustpilot vs G2 rating discrepancy and contract issues” Mistral Small · Sales rooms · negative prompt · hard negative
“Avoid platforms like ... GetAccept ($49/user with 5-seat minimum)” Kimi K2 · Sales rooms · budget prompt · hard negative

Named alongside

The products named in the same answers as GetAccept, over the 229 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and GetAccept was named but was not.
ProductSame answerTook the first choice insteadHead to head
Trumpet119 of 22931Compare →
Aligned108 of 22942Compare →
DealHub97 of 2293Not in the top three
PandaDoc92 of 22936Not in the top three
Dock91 of 22910Not in the top three
Highspot70 of 2293Not in the top three
Flowla69 of 2296Not in the top three
Seismic69 of 2294Not in the top three
Proposify50 of 2294Not in the top three
MindTickle45 of 22910Not 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 GetAccept. 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 29 of the 229 answers that named GetAccept and are not a share of its labels.

Domains cited

getaccept.comYour site20
learn.g2.com15
g2.com14
dock.us12
alignedup.com11
mindtickle.com10
hummingdeck.com8
showpad.com8
storylane.io8
flowla.com7

Ninety-three of the 113 domain citations in answers naming GetAccept came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as GetAccept

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

The company

GetAccept.
Website
getaccept.com
Founded
2015

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 · Crunchbase

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 GetAccept'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 GetAccept, 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 getaccept.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.

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