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 83 → 33 of 117
2 categories · RankedMention Me
29Judge labels
0First choices
1Negative labels
13 / 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
0% in Referrals for enterprise buyers
Rank 29 of 110 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 4 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business34 of 120
0%2 labels
under the label threshold
Mid-market29 of 110
0%4 labels
under the label threshold
Enterprise23 of 104
0%6 labels
under the label threshold
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 Mention Me 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% | 29 of 110 | 0% | 4 | under 10 labels · led by Smile.io at 26% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Referral and partner programs | Partner and channel | 0% | 36 of 112 | 0% | 3 | under 10 labels · led by PartnerStack at 22% | goneNot named this edition; 0% in September 2026. |
Movement
Since September 2026, Mention Me held within the floor in all two categories: no change cleared 11 points.
Best category · Loyalty · by segment
Mid-market=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 30 → 34 of 106
Enterprise=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 28 → 24 of 99
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Loyalty | 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 30 → 29 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 34 → 36 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 Mention Me 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 Mention Me 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 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 0 | 3 | 0 | 3 |
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
Direct4 labelsNone
Paraphrase0 labelsNone
Comparative20 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative29 labels in all, every segment counted; 0 of the 0 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.
“Mention Me emphasizes referral optimization and identifying word-of-mouth” GPT-6 Luna · Loyalty · comparative prompt · alternative
“consider Mention Me if testing and referral benchmarking are priorities” GPT-6 Luna · Referrals · comparative prompt · alternative
“strong referral/customer advocacy orientation” GPT-5.4 mini · Loyalty · comparative prompt · alternative
“Great for mid-to-enterprise retail.” Qwen 3.7 Flash · Loyalty · comparative 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 Mention Me, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mention Me was named but was not.ShowHide
Named alongside
The products named in the same answers as Mention Me, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mention Me 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 Mention Me. 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 29 of the 29 answers that named Mention Me and are not a share of its labels.
Domains cited
openloyalty.io18
mention-me.comYour site13
growsurf.com12
opia.com12
gitnux.org10
extole.com9
tremendous.com9
voucherify.io9
moosend.com8
guideflow.com7
Ninety-four of the 107 domain citations in answers naming Mention Me came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
mention-me.com is not in Google's top ten for any of the category's searches. In the answers, Mention Me takes 0% of first choices and Smile.io takes 26%.ShowHide
Search and answers
mention-me.com is not in Google's top ten for any of the category's searches. In the answers, Mention Me 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
- 720 a month (“mention me”)
- AI search demand for its name, est.
- 239 a month
- Organic visits to its site
- about 2,345 a month
- Searches its site ranks for
- 478 · 36 in the top three
- Sites linking to it
- 4,372
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 29 of 110 in loyalty
Segment leader
26%
Smile.io
- First choices
- 0 across its categories
- Named in
- 29 answers
- Its own site cited
- in 29 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 mention-me.com
1,158
subdomains included
Content
523
counted in the table below
Documentation
397
Product · Integration
1 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 345 | 13 | 2026-09-22 | Ecommerce marketing, CRM | |
| Case study | 65 | 0 | 2025-05-06 | ||
| Podcast or video | 63 | undated | |||
| Comparison | 18 | 3 | 2026-08-04 | ||
| News or press | 18 | 0 | 2022-03-11 | ||
| Webinar or virtual event | 4 | undated | |||
| Glossary or explainer | 4 | 1 | 2026-07-15 | ||
| Conference or event | 3 | 0 | 2017-04-25 | ||
| Report or ebook | 3 | 0 | 2018-02-26 |
Most recent
- 2026-09-22Mention me the best software to measure referral program roi blog
- 2026-09-22Introducing mention me upgraded blog
- 2026-09-22Referral rock review blog
- 2026-09-22Referralcandy reviews blog
- 2026-08-24Shopify referral program app blog
- 2026-08-24Word of mouth marketing software blog
How it is countedHide how it is counted
Every page mention-me.com 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.
Follow Mention Me
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
Mention Me is its own company.ShowHide
The company
Mention Me is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The Referral Marketing Platform Brands Trust
- For
- DTC brands
- Price stated
- Built around your programme, not a one-size-fits-all rate. mention-me.com
- Integrations claimed
- 14 mention-me.com
- Certifications
- GDPR compliantISO 27001 certifiedGDPR and PECR compliantSAP endorsed app
- Hosting
- Ireland
- Customers named
- MossSymproveCharlotte TilburySodaStreamGozneyLinxeaThe HoxtonPet Drugs Online
- Not stated on the pages read
- Starting price, free plan or trial
What Mention Me's own pages state, read September 28, 2026: mention-me.com, mention-me.com/pricing-page, mention-me.com/security, mention-me.com/capabilities, mention-me.com/integrations. 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 Mention Me'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 Mention Me, 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 Mention Me by email, built from the raw record of the edition. It shows:
- where Mention Me 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 Mention Me, 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.