Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 23 → 85 of 117
2 categories · RankedOpen Loyalty
46Judge labels
4First choices
4Negative labels
12 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
8% in Loyalty for enterprise buyers
Rank 19 of 110 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 12 labels there were negative.
What the models named instead of Open Loyalty →By buyer segmentRead the same way at every buyer size.
Small business87 of 120
0%4 labels
under the label threshold
Mid-market19 of 110
0%12 labels
accepted challenger
Enterprise4 of 104
8%22 labels
accepted challenger
In loyalty · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Open Loyalty for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Loyalty, advocacy and referrals | Marketing | 0% | 19 of 110 | 0% | 12 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Referral and partner programs | Partner and channel | 0% | 55 of 112 | 0% | 1 | under 10 labels · led by PartnerStack at 22% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Open Loyalty held within the floor in all two categories: no change cleared 11 points.
Best category · Loyalty · by segment
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 9 → 18 of 106
Enterprise▼−6Since September 2026: 13% → 7%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
7%from 13% in September 2026
Inside the floor by 5 pointsRank 3 → 4 of 99
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Loyalty | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 9 → 19 of 110 |
| Referrals | 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 38 → 55 of 112 |
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
By model
How each model treated Open Loyalty across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Open Loyalty across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 0 | 1 |
| Perplexity Sonar | 1 | 2 | 0 | 0 | 3 |
| Grok 4.20 | 0 | 1 | 2 | 0 | 3 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct11 labels3
Paraphrase0 labelsNone
Comparative20 labels6not counted in share
Budget-constrained4 labels1
Scale-constrained4 labelsNone
Negative7 labels1not counted in share
First choiceAlternativeMentionNegative46 labels in all, every segment counted; 4 of the 11 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Choose Open Loyalty or Antavo if you need enterprise-grade customization and control.” Perplexity Sonar · Loyalty · comparative prompt · first choice
“Use Yotpo or Open Loyalty if referrals need to live inside a larger loyalty/retention or enterprise architecture.” Perplexity Sonar · Referrals · comparative prompt · alternative
“An open-source, composable solution... Best for mid-market to enterprise teams with development resources.” Qwen 3.7 Flash · Loyalty · comparative prompt · alternative
“Best for headless / composable architecture: Open Loyalty” Perplexity Sonar · Loyalty · direct prompt · alternative
And against it
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.
No model argued against it.
Named alongside
The products named in the same answers as Open Loyalty, over the 46 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Open Loyalty was named but was not.ShowHide
Named alongside
The products named in the same answers as Open Loyalty, over the 46 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Open Loyalty was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Open Loyalty. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 46 of the 46 answers that named Open Loyalty and are not a share of its labels.
Domains cited
openloyalty.ioYour site45
voucherify.io30
g2.com15
guideflow.com15
talon.one15
tremendous.com13
trueloyal.com13
gitnux.org12
moosend.com12
checkthat.ai11
136 of the 181 domain citations in answers naming Open Loyalty came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
openloyalty.io is not in Google's top ten for any of the category's searches. In the answers, Open Loyalty takes 0% of first choices and Smile.io takes 26%.ShowHide
Search and answers
openloyalty.io is not in Google's top ten for any of the category's searches. In the answers, Open Loyalty takes 0% of first choices and Smile.io takes 26%.
ShowHideIn search
Google, US estimatesPosition for “customer loyalty and referral platform”
–
not in the top ten
Position for “best customer loyalty and referral platform”
–
not in the top ten
- Searches for its name, Google
- 170 a month (“open loyalty”)
- AI search demand for its name, est.
- 7 a month
- Organic visits to its site
- about 30,015 a month
- Searches its site ranks for
- 2,072 · 235 in the top three
- Sites linking to it
- 1,959
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess1 ads · 1 text · 1 shown in the last 30 days
First shown October 2021, as Open Loyalty sp. z o.o., verified.
On Google's pages: 1
In answers
This editionShare of first choices
0%
rank 19 of 110 in loyalty
Segment leader
26%
Smile.io
- First choices
- 4 across its categories
- Named in
- 46 answers
- Its own site cited
- in 46 of the answers that named it
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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on openloyalty.io
1,077
subdomains included
Content
122
counted in the table below
Documentation
617
Product · Integration
23 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Webinar or virtual event | 47 | undated | |||
| News or press | 34 | undated | |||
| Blog | 18 | undated | |||
| Comparison | 7 | undated | |||
| Podcast or video | 4 | undated | |||
| Conference or event | 3 | undated | |||
| Template or tool | 3 | 0 | 2026-04-29 | ||
| Glossary or explainer | 3 | undated | |||
| Report or ebook | 2 | undated | |||
| Case study | 1 | undated |
Most recent
- 2026-04-29Implementation checklist template or tool
How it is countedHide how it is counted
Every page openloyalty.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.
Names read as Open Loyalty
What the judge wrote, as written, with how often. The vendor table decides that these count as Open Loyalty; a claim can dispute any of them.
OpenLoyalty 2
Follow Open Loyalty
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.
The company
Open Loyalty is its own company.ShowHide
The company
Open Loyalty is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- An API-first engine for introducing gamified loyalty programs at scale to increase sales margin and Customer Lifetime Value without hurting profit margins.
- For
- enterprise brands
- Price stated
- Pricing is based on a platform fee and an allowance fee, determined by the number of monthly active members. Contact sales for a custom quote. openloyalty.io
- Starting price
- 0 openloyalty.io
- Certifications
- ISO 9001:2015ISO 27001:2013OWASP top 10CWE/SANS top 25 software errorsGDPRISO/IEC 27001ISO 27001ISO 9001
- Hosting
- over 100 data centers worldwideEuropeAPACNorth America
- Customers named
- EQUIVAdacadoolimangoclub-bruggealdodietlydrop-tankq-dance
- Not stated on the pages read
- Free plan or trial, integrations
What Open Loyalty's own pages state, read September 28, 2026: openloyalty.io, openloyalty.io/pricing, openloyalty.io/product/badges, openloyalty.io/partners. A claimed page can correct any of them.
Is this your product?
Claim this page
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 Open Loyalty'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 Open Loyalty, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Open Loyalty by email, built from the raw record of the edition. It shows:
- where Open Loyalty is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Open Loyalty, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.