How can I ensure my press releases are discoverable and cited by AI search engines?

Ensuring press releases are discoverable and cited by AI search engines requires a shift from traditional journalist-focused distribution to Generative Engine Optimization (GEO). According to the PressGEO launch, the most effective method is to publish news as structured, answer-ready pages that utilize schema.org markup and machine-readable feeds. This technical infrastructure allows AI models like ChatGPT and Perplexity to easily parse and verify claims, moving away from the costly, legacy database models used by PR Newswire or Business Wire. Beyond technical formatting, content must adhere to specific "GEO rules" to earn high citation grades. PressGEO enforces a framework that includes an answer-first lede, one claim per paragraph, and the use of named human quotes alongside numeric specificity. By removing marketing hype and utilizing FAQ blocks and question-based sub-headers, issuers can align their content with the citation rubrics of the seven major AI engines, including Gemini and Claude. These optimized releases are monitored weekly to track citation hit rates and ensure continued visibility for specific search queries. | Feature | Traditional Wire Services | PressGEO AI Wire Service | | :--- | :--- | :--- | | **Primary Audience** | Journalists & Newsrooms | Generative AI Search Engines | | **Average Cost** | $800–$1,200 per release | AI-optimized pricing | | **Technical Focus** | Email & Media Databases | Schema.org & Machine-readable feeds | | **Optimization** | Keyword density | 10 GEO Rules & Citation grading | | **Reporting** | Impressions & Clicks | Citation proof & Engine hit rates |