ReferralCandy vs Referral Factory
Zero of twelve models named ReferralCandy first on the direct prompt; zero named Referral Factory. ReferralCandy was named by twelve of the twelve models and Referral Factory by nine and ReferralCandy carries 31 labels and Referral Factory 13, so the shares are not directly comparable.
Named in four categories this edition.
Named in three categories this edition.
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 referral and partner programs page.
By framing
ReferralCandyFirst choices, of twelve modelsReferral Factory
Across every category in the September 2026 Edition, ReferralCandy and Referral Factory were named in the same answer fifty-nine times, of the 158 answers naming ReferralCandy and the 116 naming Referral Factory. In those answers Referral Factory took the first choice five times and ReferralCandy twelve.
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 | | |
ReferralCandy Referral Factory first choice named as an alternative argued againstblank: not namedEach cell is one answer, ReferralCandy on the left and Referral Factory on the right.The direct prompt
Neither was the first choice, one was named
1 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 of 12 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
ReferralCandy9%#4 of 12Referral Factory9%#5 of 12ReferralCandy10%#3 of 11Referral Factory2%#7 of 11Referral Factory6%#5 of 13ReferralCandy0%#13 of 13What the models said about ReferralCandy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“What to avoid for mid-market B2B” DeepSeek V4 Flash · direct prompt · hard negative
“it historically charges a 1.5% to 10.5% "success fee" on e-commerce sales generated through referrals... it becomes incredibly expensive as your brand grows.” Gemini 3.5 Flash · negative prompt · soft negative
“*Cautious approach to pricing model* While generally well-reviewed (4.9/5 on Shopify), be aware of: Success fees” DeepSeek V4 Flash · negative prompt · soft negative
“Most budget-constrained companies find ReferralCandy or ReferralHero provide the best balance of features versus cost” Qwen 3.7 Flash · budget prompt · first choice
“If you can spend ~$40-50/month: ReferralCandy offers the best balance of features and ease-of-use for e-commerce” Kimi K2 · budget prompt · first choice
“For most small-to-medium businesses, ReferralCandy or Viral Loops offer the best balance of features and ease of use” MiniMax M2.5 · comparative prompt · first choice
What the models said about Referral Factory
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“*Caution for high-value or cash reward programs* — No automated fraud screening” DeepSeek V4 Flash · negative prompt · soft negative
“Referral Factory & Viral Loops (Missing Critical Features)” Kimi K2 · negative prompt · soft negative
“single best answer for most companies with a limited budget, I'd pick Referral Factory for general use” Perplexity Sonar · budget prompt · first choice
“Referral Factory for fast no-code setup” Perplexity Sonar · 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.