Morningstar PR Newswire Unveils AI-SEO Newswire to Get Releases Cited by Gemini and ChatGPT

A new AI SEO-powered distribution

Morningstar PR Newswire has launched what it calls the world’s first AI SEO-powered newswire, a service designed to make press releases not only easier to publish but more likely to be cited by major AI models such as Gemini and ChatGPT. The offering is priced from $49 per release and centers on the Morningstar AI Prompt Algorithm, a system optimized to improve AI discoverability for distributed content.

How the service works

The platform aims to tailor press release content for AI indexing and retrieval. Instead of focusing solely on human readers and traditional newsroom placements, the release copy is crafted to surface in the workflows and datasets that power large language models and other AI search engines. The company highlights potential placements and citations inside AI-driven marketplaces and services.

Human-AI hybrid review

Morningstar emphasizes a hybrid model: AI-generated or AI-optimized releases are reviewed by a team of prompt supervisors. This human oversight is intended to preserve the client voice, ensure factual accuracy, and maintain editorial standards while still taking advantage of algorithmic optimization.

Strategic positioning and pricing

At an entry price of $49 per release, the service is presented as an accessible option for small businesses and nonprofits that historically lacked the resources to compete for online visibility. Marcus Morningstar, the company's founder with a background in rhetoric and artificial intelligence, frames the effort as a move toward the 'democratization of digital credibility'.

Industry context and potential impact

Observers see this product as part of a larger shift in communications where AI reshapes how narratives reach audiences. Industry coverage points to changing SEO dynamics and the rise of AI-first discovery channels. If AI models begin routinely citing content from AI-optimized newswires, PR could evolve from classic media outreach into algorithm-aware storytelling, shifting both the mechanics and the substance of public relations.

Questions and considerations

Key questions remain about long-term effects: how citation by AI models will be measured, how editorial standards will be enforced at scale, and whether algorithmic incentives will influence the framing of news. Morningstar positions the product as leveling the playing field for smaller organizations, but wider adoption would likely spur debates about credibility, transparency, and the role of human editorial judgment in an AI-driven information ecosystem.