This topic examines the growing use of AI to generate headlines and short news summaries — from platform-level experiments like Google Discover’s AI-generated snippets to publishers’ in-house newsroom summarizers and third-party tools. It’s timely as of 2025-12-07 because major platforms continue to experiment with automated summaries in feeds and search surfaces, while publishers balance speed, accuracy, SEO impact and editorial control. Key tools covered include AnySummary (multi-format AI summarization for text, audio and video), QuillBot (paraphrasing, summarization, citation support and AI-detection), Frase (SEO-focused content and Generative Engine Optimization for better citation by AI assistants), Writesonic (broad content platform with SEO automation and AI Search Visibility monitoring) and Rytr (fast, template-driven short-form writing). Each targets distinct publisher needs: AnySummary for multi-media ingestion, QuillBot for rewrite/quality controls and detection, Frase and Writesonic for search/visibility optimization, and Rytr for quick short-form outputs. Publishers evaluating these approaches should weigh accuracy, provenance and editorial workflow integration: automated summaries can speed distribution and improve feed engagement, but they raise risks around factual error, nuance loss, and discoverability differences when platforms rewrite or surface content. Emerging considerations include GEO/SEO alignment with AI assistants, multi-format summarization (audio/video), AI-attribution and detection, and metrics that measure downstream engagement rather than just impressions. This overview synthesizes current tool capabilities and platform experiments into a framework publishers can use to compare options: format support, editorial controls, SEO/GEO impact, detection and provenance, and operational fit — all critical for adopting summarization without eroding trust or traffic.