How AI Interprets Your Equity Story — and How to Take Back Control

Virtual Classroom, 15 September 2026
from 9:30 to 13:30 CEST

Background

Artificial intelligence is reshaping how investors discover, evaluate, and form opinions about listed companies. The equity story is no longer simply read — it is compiled into probabilistic answers by large language models. 
A second shift is now underway: AI agents. Autonomous systems and a growing class of finance-tuned copilots no longer just answer questions — they act. 
They screen portfolios, compile due diligence, draft analyst memos, and monitor sentiment continuously. 
For IR teams, this means a third intermediary has entered the relationship with investors — one without a meeting request, a roadshow slot, or any existing communication channel. 

Generative Engine Optimization (GEO) is the emerging discipline that addresses this shift. It equips IR professionals with the frameworks, tools, and content strategies to ensure that AI-generated answers about their company are accurate, complete, and aligned with the disclosed equity story.

Benefits of attending this course:

The course will help participants to:
• Explore how AI tools are reshaping corporate reputation and investor perception.
• Understand the importance of structured, machine-readable disclosures for effective communication with AI.
• Recognise new metrics and tools for evaluating IR performance in an AI-driven environment.
• Engage with practical modules to help IR professionals adapt to AI-mediated reputation management.

Who should attend:

The course has been designed for

• Heads of IR
• IR managers
• CFOs with IR remit
• Capital-markets communicators

Academy Expert:

Martin Regnet, Senior expert and strategist for digital corporate and financial communications.