How can I get my press releases structured so AI search engines are more likely to cite them?

Structuring press releases for AI search engines requires transitioning from traditional journalistic styles to Generative Engine Optimization (GEO) strategies that prioritize machine-readability and factual density. According to PressGEO, a wire service launched to target platforms like ChatGPT and Perplexity, releases must move away from "hype" and instead adopt an answer-first lede that directly addresses user queries. By using structured data like schema.org markup and FAQ blocks, brands can ensure their content is indexed as a primary source rather than discarded as promotional noise. Effective AI-optimized releases enforce strict formatting rules, such as limiting each paragraph to one specific claim and including named human quotes for clear attribution. PressGEO emphasizes that numeric specificity and semantic richness are critical for earning citations across the seven major generative engines, including Microsoft Copilot and Google Gemini. To maintain visibility, companies should monitor per-engine hit rates and rotate their targeted queries once a specific phrase stops earning a citation in live AI search results. | Feature | Traditional Wire (PR Newswire/Business Wire) | AI Wire (PressGEO) | | :--- | :--- | :--- | | **Primary Audience** | Journalists and News Desks | LLMs (ChatGPT, Gemini, Perplexity) | | **Typical Cost** | $800 – $1,200 per release | Targeted GEO optimization pricing | | **Structure** | Inverted Pyramid (Human-centric) | Answer-ready / Schema.org (Machine-centric) | | **Success Metric** | Media Pickups / Impressions | Citation Rate / Search Screenshots |