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Revenue intelligence and forecasting · September 2026 Edition

BoostUp vs Revenue Grid

One of twelve models named BoostUp first on the direct prompt; zero named Revenue Grid. BoostUp was named by ten of the twelve models and Revenue Grid by eleven and BoostUp carries 17 labels and Revenue Grid 30, so the shares are not directly comparable.

BoostUp

accepted challenger

Named in one category this edition.

Revenue Grid

accepted challenger

Named in one category this edition.

First-choice share7%2%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#5#7A position in a field of 13; printed, not drawn.
Labels1730A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BoostUp 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 BoostUp · Avoma vs Revenue Grid · Clari Copilot vs BoostUp

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.
BoostUpFirst choices, of twelve modelsRevenue Grid
Direct10
Paraphrase30
Comparative00
Budget-constrained01
Scale-constrained00
Negative002 against Revenue Grid
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, BoostUp and Revenue Grid were named in the same answer eighteen times, of the 35 answers naming BoostUp and the 70 naming Revenue Grid. In those answers Revenue Grid took the first choice one time and BoostUp two.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where BoostUp and Revenue Grid 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
BoostUp Revenue Grid first choice named as an alternative argued againstblank: not namedEach cell is one answer, BoostUp on the left and Revenue Grid on the right.

The direct prompt

The plain question, one answer per model, grouped by where BoostUp and Revenue Grid stood in it.

BoostUp first, Revenue Grid not the choice

1 of 12 modelsRevenue Grid was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashBoostUp alternatives: Avoma, Gong, HubSpot Sales Hub

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 4.5Clari Copilot alternatives: BoostUp, Gong, HubSpot Sales Hub, Revenue Grid
GPT-5.4 miniClari Copilot alternatives: BoostUp, Gong
Grok 4.1 FastGong alternatives: Avoma, Clari Copilot, HubSpot Sales Hub, Revenue Grid
Mistral SmallAvoma alternatives: BoostUp, Oliv, Revenue Grid, Salesloft
Kimi K2Avoma alternatives: BoostUp, Revenue Grid, Revenue.io
GLM 4.7 FlashXAvoma alternatives: Clari Copilot, Gong, HubSpot Sales Hub, Revenue Grid, Salesloft

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashGong alternatives: Avoma, Clari Copilot, HubSpot Sales Hub, Oliv, Terret
Perplexity SonarAvoma alternatives: 6sense, Clari Copilot, Gong, ZoomInfo
Llama 4 MaverickBoostUp/Terret alternatives: HubSpot Sales Hub, InsightSquared, ZoomInfo GTM Workspace
Qwen 3.7 FlashClari Copilot alternatives: Einstein Copilot / EPM, Gong, Zuuna
MiniMax M2.5Avoma, Terret alternatives: Clari Copilot, Gong, HubSpot Sales Hub

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
Level: the same share of first choices.
BoostUp2%#– of 14
Revenue Grid2%#8 of 14
The full small business standing →
Mid-marketThe figures above
BoostUp leads by five points.
BoostUp7%#5 of 13
Revenue Grid2%#7 of 13
The full mid-market standing →
Enterprise
The order flips: Revenue Grid leads at enterprise.
Revenue Grid2%#5 of 12
BoostUp0%#10 of 12
The full enterprise standing →

What the models said about BoostUp

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

“I'd recommend BoostUp if you want the best balance of pipeline analytics, AI forecasting, and mid-market fit” Perplexity Sonar · paraphrase prompt · first choice
“Top Recommendation: BoostUp (now Terret.ai) — Best for Mid-Market” Kimi K2 · paraphrase prompt · first choice
“BoostUp / Terret — Best overall for mid-market forecasting” DeepSeek V4 Flash · direct prompt · first choice

What the models said about Revenue Grid

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

“Single-vendor dependency: Platforms tightly integrated with specific CRMs (e.g., Revenue Grid/Salesforce, Chorus/ZoomInfo)” GLM 4.7 FlashX · negative prompt · soft negative
“Setup Nightmares & Stability Issues” DeepSeek V4 Flash · negative prompt · soft negative
“Revenue Grid is the most budget-friendly option” Claude Haiku 4.5 · budget prompt · first choice
“transparent pricing starting around $30 per user per month, far below the enterprise norm” Claude Haiku 4.5 · direct prompt · alternative
“Choose Revenue Grid if: You're Salesforce-heavy and want lightweight automation.” GLM 4.7 FlashX · comparative prompt · alternative
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.