How press releases should be structured for improved LLM visibility
Press releases were built for journalists. Now they need to be readable by large language models too. Join this focused webinar to learn how to structure, publish, and distribute releases so AI can find, cite, and surface your news.
When: 18th Mar 2026, 4:00PM (Online) - Organiser: PRmoment Events - Price: Free to attend. A PRmoment event in partnership with Notified.
Book Now: Save your spot and bring a recent press release you'd like to improve.
Who this is for
- PR and communications teams who want their client news cited by LLMs
- Agency leads building AI-aware newsroom workflows
- In-house comms leads responsible for owned media performance
Why this matters
AI systems summarise news and point to sources. If your release isn't structured for machines, you're invisible where decisions now start. Structure, originality, authority, and recency decide whether LLMs surface your story or skip it.
Agenda
- 4.00pm - Chairperson's intro
Ben Smith, founder, PRmoment - 4.05pm - How press releases should be structured for improved LLM visibility
Jamie Brader, spokesperson, Notified- How LLMs read news content
- How to get AI to search your content
- Why structure, originality, authority, and recency drive AEO results
- How to measure AI citations in campaign reports
- How to show where client news is being cited and indexed by LLMs
- 4.25pm - Press releases are no longer written to be read by humans
Cathy Farmer, director, Third City- Press releases as citable, referenceable sources of true information
- Recency bias: LLMs reference the latest authoritative source
- Why you need to prioritise open platforms
- Owned media: LLM visibility hacks
- Social media: LLM visibility hacks
- What to do about Reddit
- Why key message repetition still works
- 4.50pm - How to integrate AI capabilities into your PR team's workflow
Mike Robb, co-CEO, Boldspace- Increase team capacity and automate repetitive tasks
- Use customised ChatGPTs or Gems across research, strategy, creativity, and crisis comms
- Use this workflow to increase the volume of LLM notifications you distribute
- 5.15pm - Close of webinar
What you'll walk away with
- A release template that LLMs can parse fast: clear H1, deck, dateline, concise summary, scannable subheads, and a tight boilerplate
- How to publish for machines: open-access URLs, fast load, mobile-first layout, descriptive slugs, and clean HTML
- Essential markup: canonical URL, timestamps (first published and updated), newsroom breadcrumbs, and Article/NewsArticle structured data (schema.org)
- Signals that earn citations: original data, unique quotes, named experts, clear sourcing, and media assets with alt text
- Distribution moves that help AI find you: XML and News sitemaps, RSS feeds, social posts that link the canonical URL, and indexable media pages
- Measurement ideas: track referral patterns, monitor mentions across AI assistants, and log citations in coverage reports for clients
Prep checklist (optional, but useful)
- Bring one high-priority release to rework live
- Confirm your newsroom and assets aren't blocked by robots.txt
- Make sure your latest release has a visible publication date and update time
- List your top three authority signals: expert quotes, proprietary data, third-party validation
Why attend
- You'll get specific actions, not buzzwords
- You'll learn how to prove AI visibility and citations in client reports
- You'll leave with a publishing checklist your team can use this week
If you want structured learning to back this up, explore role-based AI upskilling here: Complete AI Training - Courses by Job.
Book Now: Registration is free. If your press office needs more AI visibility, this hour will pay for itself many times over.
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