# ReferralCandy vs Friendbuy: which do AI models recommend for referrals, October 2026

GTM AI Recommendation Index, October 2026 Edition, Referral and partner programs. Zero of fourteen models named ReferralCandy first on the direct prompt; one named Friendbuy. Page: https://gtm-ai-index.com/partner/referral-and-partner-programs/referralcandy-vs-friendbuy/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| ReferralCandy | 6% | #5 of 15 | 31% | 39 | 14 of 14 |
| Friendbuy | 4% | #7 of 15 | 9% | 23 | 14 of 14 |

## The direct prompt, model by model

- Llama 4 Maverick: friendbuy first (first choices: Friendbuy) (alternatives: Partnero, Referral Rock, SaaSquatch)
- Claude Haiku 4.5: neither first, one named (first choices: Cello) (alternatives: Friendbuy, PartnerStack, Referral Rock)
- MiniMax M2.5: neither first, one named (first choices: Referral Rock) (alternatives: Ambassador, Friendbuy, PartnerStack)
- GPT-5.4 mini: neither named (first choices: Referral Factory) (alternatives: Ambassador, PartnerStack, Referral Rock, impact.com)
- Gemini 3.5 Flash: neither named (first choices: Referral Rock) (alternatives: GrowSurf, PartnerStack, Referral Factory, impact.com Advocate)
- Perplexity Sonar: neither named (first choices: Referral Rock) (alternatives: Ambassador, CustomerGauge, GrowSurf, Referral Factory)
- Grok 4.1 Fast: neither named (first choices: Ambassador) (alternatives: PartnerStack, Referral Rock)
- Mistral Small: neither named (first choices: Referral Rock) (alternatives: SaaSquatch)
- DeepSeek V4 Flash: neither named (first choices: Cello, Referral Rock) (alternatives: Ambassador, GrowSurf, PartnerStack)
- Qwen 3.7 Flash: neither named (first choices: PartnerStack) (alternatives: Cello.so, Partnero)
- Kimi K2: neither named (first choices: Referral Rock) (alternatives: FirstPromoter, PartnerStack)
- GLM 4.7 FlashX: neither named (first choices: Cello) (alternatives: Ambassador, Extole, Referral Factory, Referral Rock)
- GPT-6 Luna: neither named (first choices: SaaSquatch) (alternatives: PartnerStack, Referral Rock)
- Muse Glimmer 30B: neither named (first choices: Ambassador) (alternatives: Extole, PartnerStack, Partnerize, Referral Rock)

## What the models said about ReferralCandy

- ""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)

## What the models said about Friendbuy

- "Use Referral Factory or Friendbuy if you want a customer referral program that is relatively easy to launch and optimize." (Perplexity Sonar, comparative prompt, first choice)
- "Friendbuy - Best for mid-market and enterprise eCommerce brands that want customization and testing." (Llama 4 Maverick, direct prompt, first choice)
- "Popular picks like Friendbuy or Talkable excel for enterprises" (Grok 4.1 Fast, scale prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.
