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GTM AI Index
Index › Products › Ticket Tailor · October 2026 Edition
1 category · Ranked

Ticket Tailor

27Judge labels
7First choices
0Negative labels
11 / 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.
Best standing
8% in Event management for small business buyers
Rank 5 of 81 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 10 labels there were negative.
What the models named instead of Ticket Tailor →
By buyer segmentRead the same way at every buyer size.
In event management · 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 Ticket Tailor 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
Event management platformsMarketing6%5 of 810%10accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Ticket Tailor yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Ticket Tailor 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 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash11002
Perplexity Sonar01001
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash10001
Llama 4 Maverick00000
Qwen 3.7 Flash11002
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500101
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
Paraphrase4 labelsNone
Comparative2 labelsNone
Budget-constrained17 labels7
Scale-constrained0 labelsNone
Negative4 labels2not counted in share
First choiceAlternativeMentionNegative27 labels in all, every segment counted; 7 of the 9 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.

“Selling Many Tickets | Ticket Tailor | Lowest possible fee per unit sold; no hidden percentages.” Qwen 3.7 Flash · Event management · budget prompt · first choice
“For most companies with a limited budget, Ticket Tailor is the standout choice” DeepSeek V4 Flash · Event management · budget prompt · first choice
“Ticket Tailor: Best Overall for Paid & Ticketed Events” Gemini 3.5 Flash · Event management · budget prompt · first choice
“Ticket Tailor is worth comparing for paid ticketing if keeping per-ticket costs low is the priority” GPT-6 Luna · Event management · budget 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 Ticket Tailor, over the 27 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ticket Tailor was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Luma10 of 272Not among the top eight
RSVPify8 of 270Not among the top eight
Whova8 of 270Not among the top eight
TicketSpice4 of 270Not among the top eight
Google Forms3 of 270Not 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 Ticket Tailor. 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 26 of the 27 answers that named Ticket Tailor and are not a share of its labels.

Domains cited

capterra.com16
learn.g2.com14
zoho.com13
eventbrite.com11
bizzabo.com10
eventify.io10
g2.com9
resources.rework.com9
tickettailor.comYour site9
eventee.com7

Ninety-nine of the 108 domain citations in answers naming Ticket Tailor came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

tickettailor.com is not in Google's top ten for any of the category's searches. In the answers, Ticket Tailor takes 6% of first choices and Bizzabo takes 28%.
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In search

Google, US estimates
Position for “event management platform”
–
not in the top ten
Position for “best event management platform”
–
not in the top ten
Searches for its name, Google
12,100 a month (“ticket tailor”)
AI search demand for its name, est.
116 a month
Organic visits to its site
about 128,324 a month
Searches its site ranks for
34,774 · 1,582 in the top three
Sites linking to it
60,285
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
69+ ads · 36 text, 18 image, 15 video · 47 shown in the last 30 days

First shown March 2022, as Zimma Ltd, verified. Ads started 2025-11 to 2026-10: 44 in the year, 25 before. 51 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
6%
rank 5 of 81 in event management
Segment leader
28%
Bizzabo
First choices
7 across its categories
Named in
27 answers
Its own site cited
in 26 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 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 tickettailor.com
1,134
subdomains included
Content
400
counted in the table below
Documentation
432
Product · Integration
36 · 0
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog304172026-09-24Email marketing, SEO
Conference or event35202027-05-30
Webinar or virtual event2212026-09-28
Comparison1612026-09-03
Case study1402025-05-22
Glossary or explainer402026-06-08
Template or tool312026-08-17
Report or ebook202026-04-22

Most recent

  • 2027-05-30673998 conference or event
  • 2027-02-181677446 conference or event
  • 2027-01-072097147 conference or event
  • 2026-11-271869559 conference or event
  • 2026-11-141861474 conference or event
  • 2026-11-131924213 conference or event

Events in person

Upcoming

As the event pages on tickettailor.com state them, read October 5, 2026.

How it is countedHide how it is counted

Every page tickettailor.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 October 5, 2026.

Follow Ticket Tailor

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.

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 Ticket Tailor'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 Ticket Tailor, 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 Ticket Tailor by email, built from the raw record of the edition. It shows:

  • where Ticket Tailor 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 Ticket Tailor, 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 tickettailor.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.