| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Loyalty, advocacy and referrals | Marketing | 0% | 20 of 124 | 25% | 28 | criticized challenger |
| Referral and partner programs | Partner and channel | 0% | 58 of 107 | 0% | 1 | under 10 labels · led by PartnerStack at 19% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 1 | 2 | 3 |
| Gemini 3.5 Flash | 1 | 1 | 0 | 1 | 3 |
| Perplexity Sonar | 1 | 0 | 1 | 0 | 2 |
| Grok 4.1 Fast | 0 | 0 | 2 | 1 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 2 | 5 |
| Llama 4 Maverick | 0 | 0 | 3 | 0 | 3 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 2 | 2 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Pick LoyaltyLion if you want the best-known Shopify-centric loyalty stack.” Perplexity Sonar · Loyalty · comparative prompt · first choice
“Build a Loyalty Program (using *Smile.io* or *LoyaltyLion*)” Gemini 3.5 Flash · Loyalty · comparative prompt · first choice
“Well-known for highly customizable, data-driven loyalty programs tailored specifically to scaling e-commerce merchants.” Gemini 3.5 Flash · Loyalty · scale prompt · alternative
“Deep API, sophisticated program design, dedicated CSM, multi-store/global.” DeepSeek V4 Flash · Loyalty · comparative prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Better for larger/scale brands; minimal plans start around $100+/month” DeepSeek V4 Flash · Loyalty · budget prompt · hard negative
“Be cautious if your main goal is referrals and you have a small team. Recent user feedback highlights contract rigidity and poor ROI on referral programs” GPT-5.4 mini · Loyalty · negative prompt · soft negative
“Slow/unhelpful support; setup effort; pricing feels high/inconsistent; UI dated.” Grok 4.1 Fast · Loyalty · negative prompt · soft negative
“Verdict: Be cautious. If you use it, get pricing commitments in writing” DeepSeek V4 Flash · Loyalty · negative prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 15 of the 72 answers that named LoyaltyLion and are not a share of its labels.
Fifty-seven of the fifty-seven domain citations in answers naming LoyaltyLion came from somebody else's page.
Pages are listed as the models cited them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LoyaltyLion's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LoyaltyLion, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at loyaltylion.com is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.