Schema Generator for Events

Event schema markup is one of the most effective types of structured data for driving search visibility. Events with correct schema can appear in Google Event listings โ€” a dedicated rich result type showing event name, date, time, location and ticket price directly in search. Our generator reads your event page and writes complete Event schema in about 60 seconds.

What event schema markup achieves

Google has a dedicated Event rich result format that shows events prominently in search โ€” above standard organic results for event-related queries. This rich result requires Event schema with name, startDate, endDate, location (with address), eventStatus and performer or organizer.

Events with schema appear in the Google Events explorer when users search for events by date, location or category. This is significant additional visibility that organic rankings alone cannot provide.

For recurring events, virtual events and events with multiple locations, schema markup handles these cases with eventSchedule, eventAttendanceMode and subEvent properties.

What our generator produces for events

Our AI detects event pages and generates Event schema with name, description, startDate, endDate, location (PostalAddress and Place), organizer, performer (if applicable), eventStatus, eventAttendanceMode, and offers (with price, currency and ticket URL).

The enrich panel lets you add your ticket URL, performer details, event category, previous event dates for recurring events, and aggregate rating from Eventbrite or similar platforms if the event has run before.

Getting started

Paste your event page URL into the AI Schema Generator. It detects the event type and generates complete Event schema in about 60 seconds.

Add ticket URLs and performer details via the enrich panel. Copy the output and paste it into your event page head section. Run the Schema Debugger to confirm your score and rich result eligibility.

Generate your event schema now

Paste your URL. AI reads your page, detects your business type and writes complete, production-ready schema in 60 seconds.

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