Newsrooms, journalists, and communication teams are now able to find real-time global stories, opportunities, and trends within AI platforms via the Alchemiq News Discovery MCP (Model Context Protocol). Designed by Alchemiq, the news discovery platform, users can access instant news discovery directly in ChatGPT, Gemini, and Claude.\u00a0<\/p>\n
AI platforms are not generally designed to identify new or developing news stories. Instead, AI assistants, such as ChatGPT, are excellent at answering queries, summarising insights, and generating content based on accessible information. Alchemiq aims to bridge this gap, enhancing AI discovery.<\/p>\n
Alchemiq helps users spot what\u2019s next before it becomes the news<\/p>\n
Alchemiq\u2019s New Discovery MCP connects AI platforms with its real-time news intelligence. Users can ask AI a simple question in natural language to discover emerging news stories, signals, and trends worldwide, all across multiple languages and countries. Many insights such as these have been challenging to identify with traditional monitoring tools, search engines, and standalone LLMs, often lacking the ability to analyse global sources and surface early signals of change continuously.\u00a0<\/p>\n
This latest integration is set to transform how communication teams discover breaking stories before they become mainstream. From media opportunities to industry developments, news teams can find story angles that are relevant to certain brands and clients, strengthening overall media strategies.<\/p>\n
Orr Hirschauge, co-founder and Co-CEO of Alchemiq, commented, \u201cToday\u2019s AI tools help people create, edit, and summarise content, but discovering the stories that matter remains a challenge. That\u2019s what drove Alchemiq to pioneer a real-time News Intelligence Layer for AI-native workflows.\u201d<\/p>\n
Publishers struggle to predict which stories will take off<\/p>\n
Newsifier data revealed only a small percentage of articles generate a disproportionately large amount of traffic, with the highest-performing 1% of publisher articles making up 17.8% of publisher traffic. Meanwhile, the top 5% account for 41.5%.<\/p>\n
A challenge facing publishers has been the ability to consistently predict what stories will become high performers before investing time and resources into their production. By finding such opportunities early, including trending stories and emerging topics, publishers can gain a competitive advantage.\u00a0<\/p>\n
\u201cAlchemiq helps systematically identify more of the stories that materially drive audience growth,\u201d explains Adi Barill, co-founder and Co-CEO of Alchemiq. \u201cFor journalists, it helps uncover stories that will resonate with their audiences before they become widely covered. For communications teams, it continuously surfaces timely story opportunities and emerging conversations, making it easier to create relevant content and participate in the news cycle while it\u2019s gaining momentum.\u201d<\/p>\n
According to Alchemiq, developers, platform operators, enterprise customers, and vendors can also produce monitoring systems, newsroom tools, and research agents on its infrastructure. General availability is yet to be announced with only registered users currently having access to the Alchemiq News Discovery MCP beta version.\u00a0<\/p>\n