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Contract lifecycle management and e-signature · September 2026 Edition

PandaDoc vs GetAccept

Zero of twelve models named PandaDoc first on the direct prompt; zero named GetAccept. PandaDoc was named by twelve of the twelve models and GetAccept by seven and PandaDoc carries 32 labels and GetAccept 13, so the shares are not directly comparable.

PandaDoc

accepted challenger

South San Francisco, United States, founded 2013. Named in five categories this edition.

GetAccept

accepted challenger

founded 2015. Named in four categories this edition.

First-choice share25%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate6%0%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#1#7A position in a field of 16; printed, not drawn.

Labels3213A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, PandaDoc reading right to left. Rank and label count are printed, not drawn.Ironclad was named alongside these two in eleven of the twelve direct answers. PandaDoc vs Juro · PandaDoc vs Ironclad · PandaDoc vs Concord

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the contract lifecycle management and e-signature page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.

PandaDocFirst choices, of twelve modelsGetAccept

Direct00

Paraphrase102

Comparative00

Budget-constrained30

Scale-constrained00

Negative002 against PandaDoc

Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, PandaDoc and GetAccept were named in the same answer ninety-two times, of the 405 answers naming PandaDoc and the 229 naming GetAccept. In those answers GetAccept took the first choice six times and PandaDoc thirty-six.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where PandaDoc and GetAccept stood in it.

Model	Direct	Paraphrase	Comparative	Budget-constrained	Scale-constrained	Negative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5

PandaDoc

GetAccept

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, PandaDoc on the left and GetAccept on the right.

The direct prompt

The plain question, one answer per model, grouped by where PandaDoc and GetAccept stood in it.

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.

DeepSeek V4 FlashJuro alternatives: Concord, Conga CLM, DocuSign CLM, Ironclad, PandaDoc, Salesforce Service Cloud, SpotDraft

Kimi K2Juro, SpotDraft alternatives: Bind, Concord, Ironclad, PandaDoc

Neither was named

10 of 12 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5Ironclad alternatives: Juro, LinkSquares, SpotDraft

GPT-5.4 miniIronclad alternatives: Conga CLM, DocuSign CLM

Gemini 3.5 FlashIronclad, Juro alternatives: Gatekeeper, LinkSquares, SpotDraft, Stackpack

Perplexity SonarJuro alternatives: Ironclad, LinkSquares, SpotDraft

Grok 4.1 FastIronclad, Juro alternatives: Concord, DocuSign CLM, LinkSquares, SpotDraft

Mistral SmallLinkSquares alternatives: DealHub, Ironclad, Juro

Llama 4 Maverickno first choice

Qwen 3.7 FlashMalbek alternatives: Conga CLM, Gatekeeper, Ironclad, Zoho Contracts

GLM 4.7 FlashXConcord, Juro alternatives: Agiloft, Ironclad

MiniMax M2.5LinkSquares alternatives: Contractbook, Ironclad

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.

Small business

PandaDoc leads by forty-three points.

PandaDoc#1 of 15

GetAccept#5 of 15

The full small business standing →

Mid-marketThe figures above

PandaDoc leads by twenty-two points.

PandaDoc#1 of 16

GetAccept#7 of 16

The full mid-market standing →

Enterprise

Level: the same share of first choices.

PandaDoc#– of 8

GetAccept#– of 8

The full enterprise standing →

What the models said about PandaDoc

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Avoid lightweight proposal/e-sign tools like PandaDoc if your main issue is managing complex, highly negotiated legal agreements.” Gemini 3.5 Flash · negative prompt · soft negative

What the models said about GetAccept

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“The best e-signature and contract management tools for mid-sized B2B companies are: 1. GetAccept” Llama 4 Maverick · paraphrase prompt · first choice

Also compared

PandaDoc vs Juro PandaDoc vs Ironclad PandaDoc vs Concord PandaDoc vs SpotDraft PandaDoc vs LinkSquares PandaDoc vs ContractWorks Juro vs GetAccept Ironclad vs GetAccept Concord vs GetAccept SpotDraft vs GetAccept LinkSquares vs GetAccept GetAccept vs ContractWorks All twenty-eight head-to-head pages and the full CLM standing

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.