GTM AI Index
Index Sales Revenue intel › Clari Copilot vs Pipedrive
Revenue intelligence and forecasting · September 2026 Edition

Clari Copilot vs Pipedrive

Three of twelve models named Clari Copilot first on the direct prompt; zero named Pipedrive. Clari Copilot was named by twelve of the twelve models and Pipedrive by nine and Clari Copilot carries 62 labels and Pipedrive 11, so the shares are not directly comparable.

Clari Copilot

criticized challenger

Named in seven categories this edition.

Pipedrive

accepted challenger

New York City, founded 2010. Named in thirteen categories this edition.

First-choice share18%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate35%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 13; printed, not drawn.
Labels6211A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Clari Copilot reading right to left. Rank and label count are printed, not drawn.Gong was named alongside these two in nine of the twelve direct answers. Avoma vs Clari Copilot · Avoma vs Pipedrive · Clari Copilot vs HubSpot Sales Hub

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 revenue intelligence and forecasting page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Clari CopilotFirst choices, of twelve modelsPipedrive
Direct303 against Clari Copilot
Paraphrase423 against Clari Copilot
Comparative90
Budget-constrained007 against Clari Copilot
Scale-constrained30
Negative009 against Clari Copilot
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 Clari Copilot and Pipedrive 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
Clari Copilot Pipedrive first choice named as an alternative argued againstblank: not namedEach cell is one answer, Clari Copilot on the left and Pipedrive on the right.

The direct prompt

The plain question, one answer per model, grouped by where Clari Copilot and Pipedrive stood in it.

Clari Copilot first, Pipedrive not the choice

3 of 12 modelsPipedrive was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Clari Copilot alternatives: BoostUp, Gong, HubSpot Sales Hub, Revenue Grid
GPT-5.4 miniClari Copilot alternatives: BoostUp, Gong
Qwen 3.7 FlashClari Copilot alternatives: Einstein Copilot / EPM, Gong, Zuuna

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashGong alternatives: Avoma, Clari Copilot, HubSpot Sales Hub, Oliv, Terret
Perplexity SonarAvoma alternatives: 6sense, Clari Copilot, Gong, ZoomInfo
Grok 4.1 FastGong alternatives: Avoma, Clari Copilot, HubSpot Sales Hub, Revenue Grid
GLM 4.7 FlashXAvoma alternatives: Clari Copilot, Gong, HubSpot Sales Hub, Revenue Grid, Salesloft
MiniMax M2.5Avoma, Terret alternatives: Clari Copilot, Gong, HubSpot Sales Hub

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
Mistral SmallAvoma alternatives: BoostUp, Oliv, Revenue Grid, Salesloft
DeepSeek V4 FlashBoostUp alternatives: Avoma, Gong, HubSpot Sales Hub
Llama 4 MaverickBoostUp/Terret alternatives: HubSpot Sales Hub, InsightSquared, ZoomInfo GTM Workspace
Kimi K2Avoma alternatives: BoostUp, Revenue Grid, Revenue.io

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
Pipedrive leads by eighteen points.
Pipedrive22%#2 of 14
Clari Copilot4%#7 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Clari Copilot leads at mid-market.
Clari Copilot18%#2 of 13
Pipedrive4%#6 of 13
The full mid-market standing →
Enterprise
Pipedrive is not named for this buyer.
Clari Copilot66%#1 of 12
Pipedrivenot named
The full enterprise standing →

What the models said about Clari Copilot

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

“Platforms to *Avoid* on a Limited Budget ... Clari \u2014 $100\u2013$200/user/month + $10K\u2013$75K implementation fees” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid: Enterprise platforms (Gong, Clari) unless you have 100+ reps and dedicated RevOps” Mistral Small · direct prompt · hard negative
“Avoid Enterprise Tools: ... Clari ($100-150/user/month) are overkill for small teams” GLM 4.7 FlashX · budget prompt · hard negative
“Clari is the gold standard for "deal inspection," combining data from your CRM with activity logs to predict deal closure probability with high accuracy.” Qwen 3.7 Flash · comparative prompt · first choice
“Clari: The heavy hitter for Forecasting + Operations. Best if your primary pain point is getting accurate revenue numbers to the board/investors.” Qwen 3.7 Flash · scale prompt · first choice
“Forecast calls | Scenario planning (Clari) ... prioritize platforms with proven mid-enterprise scale (e.g., Gong/Clari over SMB tools)” Grok 4.1 Fast · scale prompt · first choice

What the models said about Pipedrive

No label in this category carried a quote.

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.