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Programmatic and display advertising · November 2026 Edition

Choozle vs Basis

Zero of fourteen models named Choozle first on the direct prompt; zero named Basis. Choozle was named by ten of the fourteen models and Basis by twelve and Choozle carries 17 labels and Basis 21, so the shares are not directly comparable.

Choozle

accepted challenger

Named in one category this edition.

Basis

accepted challenger

By BASIS International, Albuquerque, founded 1985. Named in three categories this edition.

First-choice share14%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 13; printed, not drawn.
Labels1721A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Choozle reading right to left. Rank and label count are printed, not drawn.StackAdapt was named alongside these two in fourteen of the fourteen direct answers. StackAdapt vs Choozle · StackAdapt vs Basis · Choozle vs AdRoll ABM

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 programmatic and display advertising page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ChoozleFirst choices, of fourteen modelsBasis
Direct00
Paraphrase00
Comparative00
Budget-constrained80
Scale-constrained01
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Choozle and Basis stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Choozle Basis first choice named as an alternative argued againstblank: not namedEach cell is one answer, Choozle on the left and Basis on the right.

The direct prompt

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

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
MiniMax M2.5StackAdapt alternatives: AdRoll ABM, Basis, DemandScience
GPT-6 LunaStackAdapt alternatives: 6sense, AdRoll ABM, Basis, Demandbase Advertising

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5StackAdapt alternatives: AdRoll ABM, LinkedIn Campaign Manager
GPT-5.4 miniStackAdapt alternatives: Demandbase Advertising
Gemini 3.5 FlashAdRoll ABM, StackAdapt alternatives: Demandbase Advertising, Influ2
Perplexity SonarStackAdapt alternatives: AdRoll ABM, Demandbase Advertising, LinkedIn Campaign Manager
Grok 4.20AdRoll ABM, StackAdapt alternatives: Google Display & Video 360, Hey Sid, The Trade Desk
Mistral SmallStackAdapt, The Trade Desk alternatives: AdRoll ABM, Google Display & Video 360, LinkedIn Campaign Manager
DeepSeek V4 FlashStackAdapt alternatives: AdRoll ABM, LinkedIn Campaign Manager
Llama 4 MaverickStackAdapt alternatives: Google Display & Video 360, LinkedIn Campaign Manager, The Trade Desk
Qwen 3.7 FlashStackAdapt alternatives: 6sense, Demandbase Advertising, LinkedIn Campaign Manager, The Trade Desk
Kimi K2AdRoll ABM alternatives: ABX, Google Display, LinkedIn Campaign Manager, Metadata.io, StackAdapt
GLM 4.7 FlashXStackAdapt alternatives: 6sense, Demandbase Advertising, Google Display & Video 360, LinkedIn Audience Network, Programmatic B2B Agency Services, The Trade Desk
Muse Glimmer 30BAdRoll ABM, StackAdapt alternatives: DemandScience, Hey Sid

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
Choozle leads by fifteen points.
Choozle17%#2 of 17
Basis2%#10 of 17
The full small business standing →
Mid-marketThe figures above
Choozle leads by twelve points.
Choozle14%#2 of 13
Basis2%#5 of 13
The full mid-market standing →
Enterprise
Choozle is not named for this buyer.
Basis2%#6 of 11
Choozle—not named
The full enterprise standing →

What the models said about Choozle

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

“Choozle and SmartyAds represent the best balance of affordability, features, and accessibility” DeepSeek V4 Flash · budget prompt · first choice
“The best programmatic advertising platform for a company with a limited budget is Choozle or AdRoll” Llama 4 Maverick · budget prompt · first choice
“Choozle – Strong alternative with enterprise‑grade features and a simple self‑serve interface.” GLM 4.7 FlashX · budget prompt · first choice

What the models said about Basis

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

“lean toward StackAdapt or Basis” Gemini 3.5 Flash · scale prompt · first choice
“I'd also evaluate Basis if your team's bigger need is coordinating programmatic with search, social, and campaign operations in one workflow.” GPT-6 Luna · paraphrase prompt · alternative
“Enterprise-Grade DSPs: *The Trade Desk, Google Display & Video 360 (DV360), Amazon DSP, Basis, StackAdapt, and Yahoo DSP*” Gemini 3.5 Flash · negative 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.