NEW YORK, Aug. 20, 2025 /PRNewswire/ -- Actual Agency today announced the launch of The LLM-Native Press Release, the first open source template designed to help companies maximize the discoverability of their announcements in a world dominated by large language models (LLMs) and generative AI search.

The template bridges traditional PR best practices with modern optimization techniques for machine parsing, ensuring that corporate news is not only journalist-friendly but also easily surfaced, summarized, and cited by AI-powered platforms.

"Press releases are no longer written only for journalists. They are also written for algorithms that decide whether your story is surfaced at all," said Michael Young, Founder and CEO of Actual Agency. "This template gives communications teams a blueprint to ensure their news gets discovered, interpreted, and amplified by both people and machines."

Key Features of the Template

• Structured Formatting: Clear headlines, subheadlines, and "Five Ws" introductions optimized for LLM parsing.
• Logical Hierarchy: Headings, bullet points, and snippet-friendly content for generative AI summaries.
• FAQ Section: Built-in support for natural language queries AI systems are likely to field.
• Schema Markup: Integration of schema.org's NewsArticle JSON-LD for machine-readable authority.
• Multimedia Optimization: Alt text, transcripts, and metadata to boost accessibility and AI interpretability.
• Distribution Strategy: Guidance for publishing across authoritative channels to maximize LLM "trust."

The resource is available free of charge as an open source tool, empowering communicators, marketers, and founders to elevate their corporate storytelling as search and discovery shift toward AI-first interfaces. Download at http://www.actual.agency/actual-insights/llm-native-press-release-template.

FAQ

Q: What is an LLM-native press release?

A: The LLM-native press release is structured so large language models can parse, summarize, and cite content accurately. It blends traditional PR best practices with AI-optimized formatting, ensuring content is discoverable by both humans and machines.

Q: Why did Actual Agency release this template as open source?

A: To accelerate adoption of AI-ready standards across the communications industry. By making the template free and open source, Actual Agency empowers teams of all sizes to future-proof their communications strategies.

Q: How does structured data improve discoverability?

A: Implementing schema.org's NewsArticle markup in JSON-LD format allows search engines and LLMs to recognize the release as authoritative news. Structured data highlights core facts like headline, author, date, and company, making it easier for AI to surface and summarize content.

About Actual Agency

Actual Agency is a next-generation communications firm helping B2B technology leaders shape industry conversations, earn consistent media attention, and build reputational value. By combining editorial-led strategy, data-driven storytelling, and human-led AI-native PR practices, Actual Agency delivers communications programs that influence markets and accelerate growth. www.actual.agency.

Media Contact:

Elisabeth Bellevue

elisabeth.bellevue@actual.agency

+1-202-555-6333

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SOURCE Actual Agency