Clients look for a venue, date, and budget right inside an AI chat — and the engine cites those with structured event data and transparent prices. To get into the answer you need Event schema with date, place, and tickets, not just a pretty site.
schema.org/Event with date, location, offers (tickets/price) — AI pulls exact answers straight from it.
Budget, venue, guest count, format — specifics make a portfolio quotable.
LocalBusiness, city and districts, venues and addresses — for «in city» geo queries.
A price range and «from X» right after the heading — AI loves concrete sums.
Q&A on timelines, venues, and formats often land in AI answers.
AI engines pull the date, venue, and ticket price straight from schema.org/Event. Without it your event is invisible to the assistant, and aggregators take the answer.
Add Event schema with date and offers, write case studies with budgets and venues, give a direct price answer and a FAQ — then run the pages through the GEO checker.
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