01
Better fit if budget matters most
Friday · Lower-bowl corner
FROM$105each
Ticketing/ Event discovery
Help customers find the right event faster
An AI agent can match event, date, section, and ticket options to what someone actually wants to attend. Start with the experience they have in mind, then narrow to a small set of relevant choices.
EVENT MATCHBOARD
ILLUSTRATIVE MATCHCUSTOMER IS LOOKING FOR
“A basketball game next weekend. Two tickets, under $120 each, and I do not want to sit too high up.”
02
Better center-court view
Sunday · Center court
TRADEOFFOvermost seats
AI AGENT
There are two strong options next weekend. Friday has lower-bowl corner seats starting around $105 each. Sunday has better center-court availability, but most lower-level seats are above your budget. Friday is the better fit if staying under $120 matters most.
The result is a reasoned shortlist, not another page of filters.
Start with the kind of night they want
People search by intent before they know what to book.
A customer may know the city, date, budget, or type of event they want before they know the exact listing. The conversation can start there.
01“What concerts are happening this weekend?”
02“I want something family-friendly on Saturday.”
03“Which game has the cheapest lower-level seats?”
04“Are there any comedy shows under $80?”
05“What is available near downtown next Friday?”
06“I want two seats together with a good view.”
NATURAL-LANGUAGE EVENT SEARCHAsk only what changes the result
Narrow the field without making a questionnaire.
If the first request is too broad, the agent can ask a targeted follow-up. Gather enough detail to reduce irrelevant results, not every possible preference.
When several structured details are needed, the AI Form node can collect them in a compact format.
SEARCH DETAILSASK WHEN NEEDED
- 01
Preferred date or date range
- 02
City or venue
- 03
Event category
- 04
Number of tickets
- 05
Budget
- 06
Seating preference
- 07
Accessibility needs
- 08
Age restrictions
- 09
Preferred performer, team, or genre
Date · city · category · party · budget · seating and relevant requirements
Search from event and ticket data
Match what is listed and bookable.
Data Search retrieves structured event and inventory information instead of relying on generic knowledge. When live availability or pricing changes frequently, connected APIs can provide the latest information.
SEARCHABLE FIELDSSTRUCTURED EVENT DATA
01
Event names
02
Dates and times
03
Venues
04
Ticket categories
05
Sections
06
Price ranges
07
Availability
08
Age restrictions
09
Accessibility information
10
Event metadata
Connected APIs can supply current availability and pricing when inventory changes often.
The event is only half the decision
Make the seating choice understandable.
Section names can be hard to interpret on their own. If seat-map, section, or venue information is available, explain the practical differences between the options.
Upper levels
Lower level
Stage / field
01
Distance from the stage or field
02
Side versus center view
03
Covered versus uncovered seating
04
Aisle seats
05
Standing versus seated areas
06
Accessible seating
07
Premium and restricted-view sections
Different events, different decision logic
Let the event type shape the search.
The same ticketing workflow should not feel identical across every category.
01
Concerts
Performer, date, standing or seated tickets, stage proximity
02
Sports
Opponent, day of week, section, view, price
03
Theater
Showtime, seating zone, accessibility, age suitability
04
Festivals
Day pass, weekend pass, entry tier, lineup differences
05
Attractions & timed entry
Date, time slot, party size, availability
A match can change while they decide
Keep recommendations tied to current inventory.
Ticket discovery is time-sensitive. The AI agent can adjust its recommendation using the latest connected inventory instead of continuing to suggest an option that is no longer realistically purchasable.
AVAILABILITY CAN CHANGECHECK CURRENT DATA
01
The requested section sells out
02
Only single seats remain
03
The price moves beyond the customer's budget
04
The event date changes
05
The ticket type is no longer available
Recheck before presenting the shortlist.
A useful answer is selective
Compare two or three options, not the whole catalog.
For each match, explain why it fits, the main tradeoff, approximate price, date and venue, meaningful seating differences, and what the customer should consider next.
THE SHORTLIST2–3 RELEVANT OPTIONS
01
Why each option matches
02
The main tradeoff
03
Approximate price
04
Date and venue
05
Meaningful seating differences
06
What to consider next
For requests that need a specialist
Keep the preferences attached to the handoff.
Group sales, hospitality packages, unusual accessibility arrangements, large party seating, VIP experiences, corporate bookings, and special event packages may need judgment or information outside the ticket data.
TO THE APPROPRIATE TEAM
Human Handoff
Bring the customer's preferences and options already discussed into the specialist conversation.
Event typeDateParty sizeBudgetSeating
Configured from AskHandle building blocks
What powers event matching
01Data Search
Find relevant events and ticket inventory from structured event, section, price, and availability fields.
02AI Form
Collect structured search details when several preferences are needed to narrow the results.
03AI Answer
Compare a small set of matches against the customer's priorities and explain the meaningful tradeoffs.
04Human Handoff
Bring in a specialist for group sales, hospitality, unusual access needs, or custom booking requests.
Data Search matches structured event and inventory fields. Connected APIs can provide current availability and pricing when those values change often.
Ticket discovery questions
Common questions from ticketing teams.
Can the AI agent recommend events based on customer preferences?
Yes. It can use details such as date, location, budget, event type, and seating preference to narrow the available options.
Can it work with current ticket availability?
Yes, when live inventory or ticketing data is available through connected systems or APIs. This helps keep recommendations aligned with what can actually be purchased.
Can it explain seating sections?
Yes, if section, seat-map, or venue information is available. The agent can explain meaningful differences between seating areas rather than only repeating section names.
Can it help customers compare ticket options?
Yes. AI Answer can compare a small set of relevant options against the customer's priorities and explain the main tradeoffs.
Can it collect several preferences before searching?
Yes. The AI Form node can collect structured inputs such as date, budget, party size, or seating preference when that produces a better search.
What happens with group or VIP requests?
Those requests can be identified during the conversation and moved to Human Handoff when specialist assistance, custom pricing, or manual booking is required.
Help customers choose with confidence.
Ticket discovery should help customers move from “what is available?” to “this is the right option for me.”
An AI agent can help a ticketing business:
- Turn broad requests into relevant event options
- Reduce unnecessary browsing
- Narrow choices by date, budget, location, and event type
- Explain seating and ticket-category differences
- Work with current availability when connected
- Compare a small number of meaningful options
- Use different discovery logic for different event categories
- Route complex booking needs with customer context intact
The goal is not to show more tickets. It is to help customers choose more confidently.