GTM AI Index
Index Revenue operations CLM › Concord vs LinkSquares
Contract lifecycle management and e-signature · September 2026 Edition

Concord vs LinkSquares

One of twelve models named Concord first on the direct prompt; two named LinkSquares. Concord was named by ten of the twelve models and LinkSquares by eleven and Concord carries 19 labels and LinkSquares 30, so the shares are not directly comparable.

Concord

accepted challenger

Austin, founded 2014. Named in one category this edition.

LinkSquares

accepted challenger

Named in one category this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 16; printed, not drawn.
Labels1930A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Concord 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 Concord · PandaDoc vs LinkSquares · Juro 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.
ConcordFirst choices, of twelve modelsLinkSquares
Direct12
Paraphrase00
Comparative00
Budget-constrained20
Scale-constrained00
Negative012 against LinkSquares
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.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Concord and LinkSquares stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Concord LinkSquares first choice named as an alternative argued againstblank: not namedEach cell is one answer, Concord on the left and LinkSquares on the right.

The direct prompt

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

Concord first, LinkSquares not the choice

1 of 12 modelsLinkSquares was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXConcord, Juro alternatives: Agiloft, Ironclad

LinkSquares first, Concord not the choice

2 of 12 modelsConcord was named in the answer but not as the choice, or not at all.
Mistral SmallLinkSquares alternatives: DealHub, Ironclad, Juro
MiniMax M2.5LinkSquares alternatives: Contractbook, Ironclad

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Ironclad alternatives: Juro, LinkSquares, SpotDraft
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
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

3 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniIronclad alternatives: Conga CLM, DocuSign CLM
Llama 4 Maverickno first choice
Qwen 3.7 FlashMalbek alternatives: Conga CLM, Gatekeeper, Ironclad, Zoho Contracts

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
Concord leads by eight points.
Concord8%#4 of 15
LinkSquares0%#– of 15
The full small business standing →
Mid-marketThe figures above
Concord leads by two points.
Concord6%#4 of 16
LinkSquares4%#6 of 16
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Concord0%#– of 8
LinkSquares0%#8 of 8
The full enterprise standing →

What the models said about Concord

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

“My top recommendation: Concord for its flat pricing and comprehensive features” Mistral Small · budget prompt · first choice
“Juro or Concord would be the best starting points” GLM 4.7 FlashX · direct prompt · first choice
“I'd usually start with Concord” GPT-5.4 mini · budget prompt · first choice

What the models said about LinkSquares

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

“Users reported issues with self-service flexibility for sales... lack of natural language search, and occasional glitches in the platform” Claude Haiku 4.5 · negative prompt · soft negative
“positioned more strongly for post-signature analytics than front-end negotiation” Perplexity Sonar · negative prompt · soft negative
“Top-rated alternatives with fewer complaints: LinkSquares, Malbek, Juro (4.6-4.7/5, praised for ease/AI).” Grok 4.1 Fast · negative prompt · first choice
“LinkSquares is frequently cited as an excellent choice for mid-market companies.” MiniMax M2.5 · direct prompt · first choice
“Best Overall for Mid-Market B2B: LinkSquares” Mistral Small · direct prompt · first choice
Also compared

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.