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GTM AI Index
Index › Products › UserEvidence · October 2026 Edition
1 category · Named, not ranked

UserEvidence

13Judge labels
0First choices
1Negative labels
10 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. UserEvidence was named 8 times in Loyalty, where Smile.io led with 26%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 UserEvidence 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Loyalty, advocacy and referralsMarketing0%24 of 1100%8under 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.

Movement

Since September 2026, UserEvidence held within the floor in its one category: no change cleared 11 points.

Best category · Loyalty · by segment

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 57 → 87 of 117
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 28 → 25 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 34 → 28 of 99

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Loyalty0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 28 → 24 of 110

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 UserEvidence across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00101
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.2000000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna01001
Muse Glimmer 30B01001

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
Direct0 labelsNone
Paraphrase3 labelsNone
Comparative8 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative13 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.

“UserEvidence is a customer advocacy platform focused on collecting verified user reviews, testimonials, ROI data, and case studies” Muse Glimmer 30B · Loyalty · comparative prompt · alternative
“UserEvidence specializes in gathering verified user stories, ROI metrics, and customer testimonials at scale.” Gemini 3.5 Flash · Loyalty · paraphrase prompt · alternative
“UserEvidence is more focused on collecting and activating customer proof for sales and marketing.” GPT-6 Luna · Loyalty · comparative prompt · alternative
“Top-rated for customer advocacy, offering gamification, rewards, and referral tracking.” Mistral Small · Loyalty · negative 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 UserEvidence, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and UserEvidence was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Influitive AdvocateHub12 of 132Not among the top eight
Extole9 of 131Not among the top eight
Smile.io8 of 131Not among the top eight
LoyaltyLion7 of 130Not among the top eight
ReferralCandy7 of 130Not among the top eight
Yotpo Loyalty & Referrals7 of 130Not among the top eight
Talon.One6 of 133Not among the top eight
Referral Rock6 of 131Not among the top eight
Friendbuy6 of 130Not among the top eight
GrowSurf5 of 131Not among the top eight
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 UserEvidence. 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 13 of the 13 answers that named UserEvidence and are not a share of its labels.

Domains cited

getapp.com8
blog.hubspot.com7
guideflow.com7
checkthat.ai6
openloyalty.io6
growsurf.com5
g2.com4
gitnux.org4
gtm-ai-index.com4
questionpro.com4

Fifty-five of the fifty-five domain citations in answers naming UserEvidence came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

userevidence.com is not in Google's top ten for any of the category's searches. In the answers, UserEvidence takes 0% of first choices and Smile.io takes 26%.
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In search

Google, US estimates
Position 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
480 a month (“userevidence”)
AI search demand for its name, est.
4 a month
Organic visits to its site
about 1,085 a month
Searches its site ranks for
535 · 12 in the top three
Sites linking to it
1,257
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
21 ads · 12 text, 8 video, 1 image · 9 shown in the last 30 days

First shown June 2024, as Evan Huck, verified. Ads started 2025-10 to 2026-09: 15 in the year, 6 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 24 of 110 in loyalty
Segment leader
26%
Smile.io
First choices
0 across its categories
Named in
13 answers
Its own site cited
in 13 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
Addresses on userevidence.com
3,892
subdomains included
Content
171
counted in the table below
Documentation
120
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog8562026-09-09
Podcast or video5902025-12-11
Case study1122026-08-27
Glossary or explainer8undated
Report or ebook402025-09-16
Comparison312026-07-20
News or press102026-04-13
How it is countedHide how it is counted

Every page userevidence.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. Read September 29, 2026.

Follow UserEvidence

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

UserEvidence is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
Customer Proof That Builds Buyer Trust
For
B2B marketing teams; customer marketers, product marketers, and marketing leaders at a b2b software company
Customers named
GongSuperhumanVantaTrellixAbsorbHackerOneGrammarly
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting

What UserEvidence's own pages state, read September 28, 2026: userevidence.com. 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 UserEvidence'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 UserEvidence, 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 UserEvidence by email, built from the raw record of the edition. It shows:

  • where UserEvidence 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 UserEvidence, 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.
The subscriber app

A verification link goes to your work email; an address at userevidence.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.