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Affiliate and partner management · November 2026 Edition

Refersion vs Amazon Associates

Zero of fourteen models named Refersion first on the direct prompt; zero named Amazon Associates. Refersion was named by eleven of the fourteen models and Amazon Associates by fourteen and Refersion carries 17 labels and Amazon Associates 21, so the shares are not directly comparable.

Refersion

accepted challenger

Named in four categories this edition.

Amazon Associates

accepted challenger

By Amazon, Seattle, United States, founded 1994. Named in one category this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 16; printed, not drawn.
Labels1721A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Refersion reading right to left. Rank and label count are printed, not drawn.PartnerStack was named alongside these two in fourteen of the fourteen direct answers. PartnerStack vs Refersion · PartnerStack vs Amazon Associates · impact.com vs Refersion

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 affiliate and partner management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RefersionFirst choices, of fourteen modelsAmazon Associates
Direct00
Paraphrase00
Comparative101 against Amazon Associates
Budget-constrained11
Scale-constrained00
Negative011 against Amazon Associates
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 Refersion and Amazon Associates 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
Refersion Amazon Associates first choice named as an alternative argued againstblank: not namedEach cell is one answer, Refersion on the left and Amazon Associates on the right.

The direct prompt

The plain question, one answer per model, grouped by where Refersion and Amazon Associates stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5PartnerStack alternatives: Reditus, Tapfiliate, impact.com
GPT-5.4 miniPartnerStack alternatives: Trackdesk, impact.com
Gemini 3.5 FlashPartnerStack alternatives: Channeltivity, Everflow, Introw, impact.com
Perplexity SonarPartnerStack alternatives: Everflow, Reditus
Grok 4.20PartnerStack alternatives: Awin, CJ Affiliate, Rewardful, impact.com
Mistral SmallPartnerStack
DeepSeek V4 FlashPartnerStack alternatives: Everflow, Scaleo, impact.com
Llama 4 MaverickPartnerStack alternatives: Awin, impact.com
Qwen 3.7 FlashPartnerStack, impact.com alternatives: Post Affiliate Pro
Kimi K2PartnerStack alternatives: Reditus, Trackdesk, impact.com
GLM 4.7 FlashXPartnerStack, impact.com alternatives: Ambassador
MiniMax M2.5PartnerStack alternatives: impact.com
GPT-6 LunaPartnerStack alternatives: Everflow, impact.com
Muse Glimmer 30BPartnerStack alternatives: Ambassador, Reditus, Trackdesk, impact.com

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
Refersion leads by three points.
Refersion3%#7 of 13
Amazon Associates0%#– of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Refersion2%#6 of 16
Amazon Associates2%#8 of 16
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Refersion0%#– of 10
Amazon Associates0%#– of 10
The full enterprise standing →

What the models said about Refersion

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

“The Best Overall for Startups: Refersion ... widely considered the most affordable and scalable option” Qwen 3.7 Flash · budget prompt · first choice
“start with software like Rewardful (SaaS) or Refersion (e-commerce) if under $10M revenue” Grok 4.20 · comparative prompt · first choice
“Consider a white-label tool like Refersion or Tapfiliate to avoid sharing revenue with a network” DeepSeek V4 Flash · comparative prompt · alternative

What the models said about Amazon Associates

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

“Brutal Terms of Service. Amazon bans accounts frequently and abruptly... Do not rely on Amazon as your sole income source.” Qwen 3.7 Flash · negative prompt · soft negative
“Cons: Low commissions, strict rules, 24-hour cookie window in some cases.” Grok 4.20 · comparative prompt · soft negative
“Stick with established networks like Amazon Associates, ShareASale, CJ Affiliate (Commission Junction)” Kimi K2 · negative prompt · first choice
“I'd suggest starting with Amazon Associates for simplicity” MiniMax M2.5 · budget prompt · first choice
“The Amazon Associates program remains one of the most popular choices among the best affiliate marketing programs” Claude Haiku 4.5 · 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.