Loyalty, advocacy and referrals · October 2026 Edition
Influitive AdvocateHub vs LoyaltyLion
Two of fourteen models named Influitive AdvocateHub first on the direct prompt; zero named LoyaltyLion. Influitive AdvocateHub was named by fourteen of the fourteen models and LoyaltyLion by twelve and Influitive AdvocateHub carries 33 labels and LoyaltyLion 22, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share20%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 14; printed, not drawn.
Labels3322A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Influitive AdvocateHub reading right to left. Rank and label count are printed, not drawn.Smile.io vs Influitive AdvocateHub · Smile.io vs LoyaltyLion · Influitive AdvocateHub vs Referral Rock
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 loyalty, advocacy and referrals page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Influitive AdvocateHubFirst choices, of fourteen modelsLoyaltyLion
Direct20
Paraphrase701 against Influitive AdvocateHub
Comparative00
Budget-constrained00
Scale-constrained01
Negative003 against Influitive AdvocateHub · 5 against LoyaltyLion
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, Influitive AdvocateHub and LoyaltyLion were named in the same answer twenty-two times, of the 88 answers naming Influitive AdvocateHub and the 71 naming LoyaltyLion. In those answers LoyaltyLion took the first choice zero times and Influitive AdvocateHub one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Influitive AdvocateHub and LoyaltyLion stood in it.
| 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 | | | |
Influitive AdvocateHub LoyaltyLion first choice named as an alternative argued againstblank: not namedEach cell is one answer, Influitive AdvocateHub on the left and LoyaltyLion on the right.The direct prompt
The plain question, one answer per model, grouped by where Influitive AdvocateHub and LoyaltyLion stood in it.
Influitive AdvocateHub first, LoyaltyLion an alternative
2 of 14 modelsLoyaltyLion was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashInfluitive AdvocateHub alternatives: Ambassador, Cello.so, FirstPromoter, PartnerStack, Referral Rock
Mistral SmallFriendbuy, Influitive AdvocateHub alternatives: LoyaltyLion, Yotpo Loyalty & Referrals
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastReferral Rock alternatives: Ambassador, Influitive AdvocateHub
Kimi K2Referral Rock alternatives: Ambassador, Influitive AdvocateHub
MiniMax M2.5Enable3 alternatives: GrowSurf, Influitive AdvocateHub, SlapFive, Zinrel0
GPT-6 LunaSlapFive alternatives: Influitive AdvocateHub, ReferenceEdge, SaaSquatch by impact.com
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Kademi alternatives: Annex Cloud, PartnerStack, Referral Rock, TrueLoyal
GPT-5.4 miniReferral Factory alternatives: Ambassador
Perplexity SonarEnable3 alternatives: Antavo, Gainsight, Open Loyalty
DeepSeek V4 Flashno first choice
Llama 4 Maverickno first choice alternatives: Friendbuy, ReferralCandy, Yotpo Loyalty & Referrals, Zinrelo
Qwen 3.7 FlashExponent alternatives: Referral Rock, Tnt1
GLM 4.7 FlashXCello alternatives: Annex Cloud, CustomerGauge, SlapFive
Muse Glimmer 30BReferral Rock, Smile.io alternatives: Ambassador
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Influitive AdvocateHub leads by two points.
Influitive AdvocateHub2%#6 of 9LoyaltyLion0%#8 of 9Mid-marketThe figures above
Influitive AdvocateHub leads by seventeen points.
Influitive AdvocateHub20%#2 of 14LoyaltyLion2%#7 of 14Enterprise
Influitive AdvocateHub leads by twenty-nine points.
Influitive AdvocateHub29%#1 of 17LoyaltyLion0%#14 of 17What the models said about Influitive AdvocateHub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid enterprise tools like Influitive/Ambassador/PartnerStack ($1k+/mo, custom quotes)—too pricey for small teams.” Muse Glimmer 30B · negative prompt · hard negative
“Influitive is the heavyweight in this space, but it relies heavily on gamification... can quickly feel childish, transactional, or exhausting” Gemini 3.5 Flash · negative prompt · soft negative
“Influitive is highly powerful, but it is expensive and requires a dedicated (ideally full-time) Customer Marketing Manager” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Influitive stands out as a top choice for mid-sized B2B companies looking for a customer advocacy and referral program tool” Mistral Small · paraphrase prompt · first choice
“I would recommend Influitive as the default choice, because it is explicitly described as best for mid-market” Perplexity Sonar · paraphrase prompt · first choice
“I would recommend Influitive as a customer advocacy and referral program tool for a mid-sized B2B company” Llama 4 Maverick · paraphrase prompt · first choice
What the models said about LoyaltyLion
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Aggressive pricing escalation... Annual contracts with no exit clause: Hard to leave once locked in” Kimi K2 · negative prompt · hard negative
“Also flagged by AI models for potential risks and not recommended for enterprise use.” Mistral Small · negative prompt · hard negative
“these are the leading e-commerce loyalty apps, and both are excellent products. However, they feature specific structural traps” Gemini 3.5 Flash · negative prompt · soft negative
“LoyaltyLion: Best-in-class for mid-market Shopify/BigCommerce brands, with exceptional Klaviyo integration.” Gemini 3.5 Flash · scale prompt · first choice
“Aim for tools like LoyaltyLion, Yotpo, Smile.io, ReferralCandy, or Voucherify, which balance features and cost for your scale.” Grok 4.1 Fast · scale prompt · alternative
“Best for: Mid-market e-commerce brands ... wanting more robust, data-driven loyalty.” DeepSeek V4 Flash · comparative prompt · alternative
Also compared
Smile.io vs Influitive AdvocateHubSmile.io vs LoyaltyLionInfluitive AdvocateHub vs Referral RockInfluitive AdvocateHub vs SlapFiveInfluitive AdvocateHub vs AmbassadorInfluitive AdvocateHub vs Referral FactoryInfluitive AdvocateHub vs FriendbuyReferral Rock vs LoyaltyLionSlapFive vs LoyaltyLionAmbassador vs LoyaltyLionReferral Factory vs LoyaltyLionLoyaltyLion vs FriendbuyAll twenty-eight head-to-head pages and the full loyalty standing
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.