Refersion vs Awin
Zero of fourteen models named Refersion first on the direct prompt; zero named Awin. Refersion was named by eleven of the fourteen models and Awin by fourteen and Refersion carries 23 labels and Awin 32, so the shares are not directly comparable.
Named in three categories this edition.
Berlin, Germany, founded 2000. Named in two categories this edition.
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
RefersionFirst choices, of fourteen modelsAwin
Across every category in the October 2026 Edition, Refersion and Awin were named in the same answer seventeen times, of the 66 answers naming Refersion and the 81 naming Awin. In those answers Awin took the first choice two times and Refersion zero.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | ||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | |
Refersion Awin first choice named as an alternative argued againstblank: not namedEach cell is one answer, Refersion on the left and Awin on the right.The direct prompt
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.Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.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
Refersion0%#– of 11Awin0%#8 of 11What the models said about Refersion
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“What to Avoid on a Limited Budget ... Starts at $39/month + 3% of affiliate sales” DeepSeek V4 Flash · budget prompt · hard negative
“excellent for ecommerce/DTC brands but are not purpose-built for B2B” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Refersion’s Launch plan is a strong budget-friendly pick at $29/month billed annually” GPT-5.4 mini · budget prompt · first choice
“Refersion stands out as a strong recommendation for affiliate program management” Mistral Small · paraphrase prompt · first choice
“If you're already embedded in the Shopify ecosystem, *Refersion* is a natural fit” MiniMax M2.5 · direct prompt · alternative
What the models said about Awin
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“you should avoid traditional "Affiliate Networks" (like Awin/ShareASale, CJ Affiliate, or Impact.com)” Gemini 3.5 Flash · budget prompt · hard negative
“What to Avoid on a Limited Budget | ShareASale/Awin | ~$625–$750 one-time setup fee” DeepSeek V4 Flash · budget prompt · hard negative
“Awin | Mixed reviews with billing and support problems” GLM 4.7 FlashX · negative prompt · hard negative
“the best starting option is usually Awin Access / Awin if you want a low-cost affiliate network” Perplexity Sonar · budget prompt · first choice
“Starting a content site or blog: Try Awin or CJ for multiple brands” GPT-6 Luna · comparative prompt · first choice
“look at CJ, Awin, or Impact” GPT-5.4 mini · comparative prompt · first choice
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.