Data as of Aug 25, 2026 · Based on 3,740 AI responses · See how Parse measures this
Event Registration and Ticketing Software
Parse
https://parse.gl
Eventbrite and remain the most cited software options for event registration and ticketing in the current landscape. These two platforms currently define the industry standard with the highest mention rates across all observed search and generative AI engines.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Enterprise-grade solution for complex registration, budgeting, and attendee tracking. | 56% | |
| 2 | Widely recognized platform offering strong marketplace discovery and ease of use. | 51% | |
| 3 | Comprehensive all-in-one platform known for excellent attendee engagement features. | 37% | |
| 4 | All-in-one platform specializing in marketing integration and attendee insights. | 33% | |
| 5 | Popular budget-friendly option with flat-fee pricing and strong customization. | 23% | |
| 6 | Intuitive platform ideal for professional RSVP management and seating charts. | 22% | |
| 7 | Flexible registration forms with transparent, capped fee structures. | 20% | |
| 8 | Highly customizable ticketing platform with low, predictable flat-fee pricing. | 16% | |
| 9 | Flexible registration workflows favored for branded event experiences. | 14% | |
| 10 | 10% | ||
| 11 | 10% | ||
| 12 | 10% | ||
| 13 | Gold standard for managing hospitality venue bookings and events. | 10% | |
| 14 | 8% | ||
| 15 | 8% | ||
| 16 | 7% | ||
| 17 | 7% | ||
| 18 | 6% | ||
| 19 | 6% | ||
| 20 | 6% | ||
| 21 | 6% | ||
| 22 | 6% | ||
| 23 | 5% | ||
| 24 | 5% | ||
| 25 | 5% |
Who wins on each AI
Google AI Overviews is significantly more likely to list niche operational tools like Planning Pod, Eventcube, and Eventleaf than ChatGPT, which focuses on top-tier commercial platforms.
Sources AI cited
whova.com is the page AI reaches for most here, cited in 36% of analyzed answers.
rose from #8 to #3 in this ranking between Oct and Aug
rose from #45 to #6 in this ranking between Oct and Aug
fell from #7 to #10 in this ranking between Oct and Aug
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 62% | 55% | ||
| 60% | 53% | ||
| 34% | 25% | ||
| 35% | 22% | ||
| 27% | 15% |
The two models disagree most about Skedda (ChatGPT #12, Google #18) and Salesforce Sales Cloud (ChatGPT #11, Google #16).
Eventbrite and Cvent remain the most cited software options for event registration and ticketing in the current landscape. These two platforms currently define the industry standard with the highest mention rates across all observed search and generative AI engines.
Across 3,740 AI responses, Cvent is mentioned most, named in 56% of them, followed by Eventbrite (51%) and Whova (37%).
Parse measures each brand's mention rate — the share of answers naming it — across 3,740 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI responses consistently identify Cvent as the enterprise standard for delegation management. Across the window, ChatGPT and Google AI Overviews increasingly emphasize the need for integrated invoice and PO workflows.
What registration tool handles group bookings and invoice payments best for corporate delegations?
AI responses consistently identify Cvent as the enterprise standard for delegation management. Across the window, ChatGPT and Google AI Overviews increasingly emphasize the need for integrated invoice and PO workflows.
AI assistants highlight platforms like Ticket Tailor and
as cost-effective alternatives to percentage-based models. Sentiment shifted toward recommending interchange-plus pricing models as the window progressed.
Brands mentioned
Which platform has fair pricing for midsize ticket volumes?
AI assistants highlight platforms like Ticket Tailor and
TicketSpice as cost-effective alternatives to percentage-based models. Sentiment shifted toward recommending interchange-plus pricing models as the window progressed.
The market map