| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Loyalty, advocacy and referrals | Marketing | 26% | 1 of 110 | 24% | 38 | accepted challenger | ▼−1Since September 2026: 24% → 23%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Referral and partner programs | Partner and channel | 13% | 3 of 112 | 0% | 10 | accepted challenger | ▲+7Since September 2026: 6% → 13%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Ecommerce marketing | Marketing | 0% | 60 of 115 | 0% | 1 | under 10 labels · led by HubSpot Marketing Hub at 38% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Referrals | 6% | 13% | ▲+7Since September 2026: 6% → 13%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 3 of 112 |
| Loyalty | 24% | 23% | ▼−1Since September 2026: 24% → 23%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 110, unchanged |
| Ecommerce marketing | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 41 → 60 of 115 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 1 | 1 | 0 | 2 | 4 |
| Gemini 3.5 Flash | 1 | 2 | 1 | 1 | 5 |
| Perplexity Sonar | 1 | 2 | 0 | 1 | 4 |
| Grok 4.20 | 3 | 0 | 0 | 1 | 4 |
| Mistral Small | 0 | 0 | 2 | 1 | 3 |
| DeepSeek V4 Flash | 3 | 0 | 1 | 1 | 5 |
| Llama 4 Maverick | 1 | 0 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 2 | 0 | 1 | 0 | 3 |
| Kimi K2 | 2 | 0 | 1 | 0 | 3 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 0 | 1 |
| MiniMax M2.5 | 3 | 0 | 1 | 0 | 4 |
| GPT-6 Luna | 1 | 1 | 0 | 1 | 3 |
| Muse Glimmer 30B | 3 | 1 | 0 | 1 | 5 |
Verbatim evidence the judge attached to positive labels.
“The best customer loyalty and referral platform for a company with a limited budget is Smile.io. It offers a free plan that includes referrals” Llama 4 Maverick · Loyalty · budget prompt · first choice
“Best Overall for E-commerce (Small Budget)Smile.io ... widely considered the industry standard for small-to-medium e-commerce businesses” Qwen 3.7 Flash · Loyalty · budget prompt · first choice
“the best overall pick is usually Smile.io if you need both loyalty and referral features with a fast, low-friction setup” Perplexity Sonar · Loyalty · budget prompt · first choice
“Easiest to launch (hours, no dev), the most-installed loyalty app on Shopify. Works on points + referrals in one package.” DeepSeek V4 Flash · Loyalty · comparative prompt · first choice
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.
“Platforms to Avoid or Use Extreme Caution With: ... Smile.io: Criticized for billing complaints (charges after cancellation), outdated customer service” Mistral Small · Loyalty · negative prompt · hard negative
“Smile.io — user feedback includes complaints about missing parity across storefronts and support/product depth concerns.” GPT-5.4 mini · Loyalty · negative prompt · soft negative
“Smile.io — if you're growing quickly or aren't on Shopify. Its Shopify listing shows usage-based pricing at higher tiers” GPT-6 Luna · Loyalty · negative prompt · soft negative
“one source says Smile.io and Loopy Loyalty will not scale for an enterprise running loyalty across ten markets” Perplexity Sonar · Loyalty · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 119 of the 125 answers that named Smile.io and are not a share of its labels.
337 of the 364 domain citations in answers naming Smile.io came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 307 | 6 | 2026-09-25 | Mobile apps, Ecommerce | |
| Report or ebook | 62 | undated | |||
| Case study | 60 | 21 | 2026-09-29 | ||
| Glossary or explainer | 33 | undated | |||
| Comparison | 12 | 4 | 2026-09-29 | ||
| Conference or event | 4 | undated | |||
| Template or tool | 4 | undated | |||
| News or press | 3 | 2 | 2026-09-29 | ||
| Webinar or virtual event | 1 | 0 | 2026-06-18 | ||
| Podcast or video | 1 | undated |
Every page smile.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Smile.io's own pages state, read September 28, 2026: smile.io, smile.io/pricing, smile.io/features/headless, smile.io/customers, smile.io/partners. A claimed page can correct any of 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 Smile.io'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 Smile.io, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Smile.io by email, built from the raw record of the edition. It shows:
AI models recommend Smile.io first in Loyalty, advocacy and referrals this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Smile.io is among the products AI models recommend first in Referral and partner programs this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.