Crawling event website…
✏️ Edit this page — Event2Agent
Free · No signup required

Convert any event website
into AI Agent-ready data

Paste your event URL. Event2Agent crawls it and generates structured JSON-LD and llms.txt — so AI agents, chatbots, and search engines understand your event instantly.

Free
Try: websummit.com dreamforce.com money2020.com
How it works
Four steps to AI-ready event data
1

Paste the URL

Drop in any event website — conferences, tradeshows, summits, meetups, workshops.

2

We crawl & extract

Crawler pulls event details, speakers, venue, exhibitors, sponsors, and organiser contacts.

3

Get structured data

Download a self-contained HTML page with JSON-LD schema and llms.txt — ready for agents.

4

List in Marketplace

Optionally publish to the AI Readable Events Marketplace for maximum agent discovery.

Output formats
Two tracks. One page.
🧩

JSON-LD Schema

schema.org/Event structured data. Embeds in <head> for passive agent discovery.

📄

llms.txt

Plain-text Q&A format optimised for language models that prefer structured prose.

🌐

Human summary

Readable Wikipedia-style event page — speakers, sponsors, venue, contacts, all inline.

🏪

Marketplace listing

Published to the AI Readable Events Marketplace — discovered by AI agents globally.

AI Readable Events Marketplace

Browse AI-ready event pages — structured, agent-discoverable, converted by Event2Agent

Industry
Event Type
Location
6 events
Web Summit 2025

Web Summit 2025

Annual technology conference · Lisbon, Portugal
Web Summit 2025

Agent-Ready Output

The following structured data was automatically extracted from the event website by Event2Agent, a free tool by EventoPulse. It is provided in two machine-readable formats for AI agent consumption.

Structured data

          

          

About

Key Facts

FieldDetails

Organiser Contacts

NameRoleResponsibilityEmail

Speakers

NameTitle & OrganisationSession

Exhibitors

CompanyCategoryTier

Sponsors

CompanyCategorySponsorship Tier

Organiser Contacts

See § About — Organiser Contacts above for the full contact table.

References

Extraction Confidence

The following table shows the confidence level of data extracted by Event2Agent for each entity. High = extracted from explicit structured text. Medium = inferred from context. Low = absent or ambiguous — verify manually.

EntityConfidenceSource

This page was automatically generated by Event2Agent, a free tool by EventoPulse. Generated: .