This topic examines how AI-driven summarization and headline-generation tools are being used both by platform-level discover feeds (e.g., Google Discover) and by newsrooms building in-house or vendor solutions. It covers automated condensation of text, audio and video into short summaries, rapid headline drafting, and the tradeoffs between personalization at scale and newsroom standards for accuracy and attribution. Relevance in late 2025 stems from widespread use of generative models in content pipelines, growing demand for multimodal summaries (text, audio, video), and heightened scrutiny over hallucinations, copyright, and source provenance. Platform feeds prioritize personalized surfacing and click-through optimization, while newsroom solutions emphasize brand voice, governance and fact-checking workflows. Key tools and roles: QuillBot — paraphrasing, grammar, citation support and lightweight summarization with detection and multimedia utilities; AnySummary — file-to-summary service focused on converting .mp3/.mp4/.wav/.txt/.csv/.m4a inputs into concise outputs; ChatGPT — widely used for drafting and site analysis but subject to scraping and rendering limitations (e.g., JS/cookie gating) that affect content ingestion; Jasper — content-automation for marketing and newsroom templates with brand voice and governance features; Frase — combines SEO analysis and Generative Engine Optimization (GEO) to align AI outputs with search and assistant citation signals. Buyers should weigh accuracy, editorial controls, multimodal support, SEO/GEO integration and legal/compliance needs. Effective deployments pair platform-level personalization with newsroom pipelines that add verification, citation, and brand-consistent editing to reduce errors and preserve trust.