Zero of fourteen models named GrowSurf first on the direct prompt; zero named ReferralCandy. GrowSurf was named by thirteen of the fourteen models and ReferralCandy by fourteen and GrowSurf carries 23 labels and ReferralCandy 39, so the shares are not directly comparable.
Named in two 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 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 referral and partner programs page.
Across every category in the October 2026 Edition, GrowSurf and ReferralCandy were named in the same answer fifty-six times, of the 91 answers naming GrowSurf and the 178 naming ReferralCandy. In those answers ReferralCandy took the first choice nine times and GrowSurf three.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Examples: Viral Loops, GrowSurf ... Avoid highly technical, developer-centric platforms (like GrowSurf) unless you have dedicated in-house engineers” Gemini 3.5 Flash · negative prompt · soft negative
“One of the most expensive solutions; lacks native ecommerce integrations; requires you to pair it with a separate email/CRM platform” Kimi K2 · negative prompt · soft negative
“GrowSurf is one of the most expensive referral software solutions and lacks ecommerce platform integrations” Claude Haiku 4.5 · negative prompt · soft negative
“If your priority is lowest upfront cost, the best pick is GrowSurf Affiliate because it offers a free starting plan and charges only a success fee.” Perplexity Sonar · budget prompt · first choice
“B2B SaaS or subscription business → GrowSurf (API-first, custom triggers, server-side tracking)” DeepSeek V4 Flash · comparative prompt · first choice
“SaaS? GrowSurf. ... Server-side attribution (handles ad-blockers/ITP) ... Great for startups.” Grok 4.1 Fast · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“"Consumer-first tools like ReferralCandy and Viral Loops fail B2B programs because they track by user ID, not org, and have no CRM integration for sales-led funnels."” Muse Glimmer 30B · negative prompt · hard negative
“be especially cautious. ReferralCandy records a reward when a transaction is confirmed and stops there—no subscription event model exists” Claude Haiku 4.5 · negative prompt · hard negative
“ReferralCandy's published plans combine a monthly fee with a success fee, so model the total cost at your expected referral revenue—not just the starting price.” GPT-6 Luna · negative prompt · soft negative
“the best referral software is usually ReferralCandy if you run an ecommerce store, or GrowSurf if you want a lower-cost, more flexible referral/affiliate option” Perplexity Sonar · budget prompt · first choice
“If you have an online store (Shopify/WooCommerce): Start with ReferralCandy for simplicity” Qwen 3.7 Flash · comparative prompt · first choice
“start with ReferralCandy or FirstPromoter for their low monthly costs and free trials” Mistral Small · budget 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.