Mastering AI Search for IR: Join PR Newswire’s Expert Webinar, June 24

· Source: The AI Journal · Field: Finance & Economics — Capital Markets & Investment Management, Marketing, Branding & Advertising · Depth: Intermediate, quick

Summary

PR Newswire announced a virtual webinar, "The New IR Frontier: AI Search & Investor Engagement," scheduled for June 24, 2026, at 11:00 am Eastern. This event aims to help investor relations (IR) professionals adapt their communication strategies as AI-powered search platforms reshape how investors find information. The webinar will explore the evolution of AI search models, offer tips for optimizing IR communications for buy-side audiences, and detail how to implement an omnichannel approach by integrating corporate communications and social teams. Speakers include Glenn Frates, PR Newswire Regional Vice President; Ben Brown, Director, Customer Engagement, PR Newswire; and Howard Wang, Vice President of Investor Relations, MGM Resorts International. A recording will be available for those unable to attend live.

Key takeaway

For investor relations professionals navigating the evolving AI search landscape, you must proactively adjust your communication strategies to ensure discoverability and credibility. Attend PR Newswire's June 24 webinar for actionable insights. Learn to optimize content for AI search models, enhance investor engagement, and implement an integrated omnichannel approach across corporate and social teams. This will help you maintain influence and ensure your corporate narrative reaches buy-side audiences effectively.

Key insights

AI-powered search demands IR teams evolve communication strategies to maintain visibility and credibility with investors.

Principles

Method

The webinar outlines optimizing IR content, strengthening investor engagement, and integrating corporate communications for an omnichannel approach.

In practice

Topics

Best for: Domain Expert, Consultant, Marketing Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.