Actual Agency Debuts First Open Source Template for AI-Optimized Press Releases

Actual Agency Launches First Open Source Template for AI-Optimized Press Releases

Actual Agency has introduced The LLM-Native Press Release, the first open source template crafted to improve how companies get their announcements noticed in an environment dominated by large language models (LLMs) and AI-driven search tools.

As a communications firm focused on B2B technology, Actual Agency combines editorial strategy, data-driven storytelling, and AI-native PR methods to help clients gain consistent media coverage and build strong reputations. This new template merges traditional press release standards with modern optimizations that make corporate news easy for both journalists and AI platforms to find, summarize, and cite.

Why This Template Matters

Press releases are no longer just for human readers. Algorithms play a key role in deciding which stories get surfaced. This template provides PR teams with a clear structure that improves visibility and clarity for both people and machines.

Key Features of The LLM-Native Press Release Template

• Structured Formatting: Clear headlines, subheadlines, and an introduction covering the Five Ws, all optimized for LLM parsing.
• Logical Hierarchy: Use of headings, bullet points, and content formatted for easy AI summarization.
• FAQ Section: Addresses common questions in natural language to support AI query responses.
• Schema Markup: Incorporates schema.org’s NewsArticle JSON-LD to signal authority and improve machine readability.
• Multimedia Optimization: Includes alt text, transcripts, and metadata for better accessibility and AI interpretation.
• Distribution Strategy: Offers guidance on publishing across trusted channels to boost AI “trust” signals.

The template is freely available as an open source tool, giving communicators, marketers, and company leaders the ability to enhance their corporate storytelling as AI-first search and discovery continue to develop. You can download the template here.

Frequently Asked Questions

Q: What is an LLM-native press release?
A: It’s a press release structured so large language models can easily parse, summarize, and cite its content. It blends traditional PR best practices with AI-friendly formatting to make the news discoverable by both humans and machines.

Q: Why did Actual Agency release this template as open source?
A: The goal is to speed up industry adoption of AI-ready communication standards. By sharing this template for free, Actual Agency supports teams of all sizes in preparing their news for AI-driven discovery.

Q: How does structured data improve discoverability?
A: Adding schema.org’s NewsArticle markup in JSON-LD helps search engines and LLMs identify the release as trustworthy news. It highlights important details like headline, author, date, and company, which AI uses to surface and summarize content accurately.

About Actual Agency

Actual Agency is a next-generation communications firm that helps B2B technology leaders earn media attention and build reputational value. Their approach combines editorial strategy, data-driven storytelling, and AI-native PR practices to deliver communications programs that influence markets and drive growth.

Media Contact:
Elisabeth Bellevue
elisabeth.bellevue@actual.agency
+1-202-555-6333