Side-by-side comparison of AI visibility scores, market position, and capabilities
Data journalism platform distributing fact-based stories to 3,000+ media partners; public dataset content syndication plus Stacker Studio brand content marketing for sponsored research.
Stacker is a data journalism and content marketing platform that produces fact-based, data-driven news stories using publicly available datasets — generating thousands of articles annually about topics ranging from local housing markets to national health trends — and distributes this content through a network of 3,000+ media partners including regional newspapers, digital publishers, and local TV station websites. Founded in 2017 and headquartered in Chicago, Stacker combines editorial data journalism with a content syndication model that gives media organizations a steady stream of data-verified, royalty-free content.\n\nStacker's editorial team uses public datasets (Census, BLS, CDC, USDA, sports statistics, real estate data) to create template-driven data stories — "The 25 cities with the highest median household income," "States with the lowest vaccination rates" — that are locally relevant when filtered by geography and consistently accurate because they cite official sources. Media partners (newspaper chains, local TV websites, regional digital publications) embed these stories in their sites through an iframe or CMS integration to supplement their original local reporting.\n\nIn 2025, Stacker also operates a content marketing division (Stacker Studio) where brands commission custom data journalism content about topics adjacent to their products — financial services companies creating content about debt statistics, healthcare companies creating health trend content — as a brand-safe, editorial-quality content marketing format. Stacker competes with traditional content marketing agencies, ThoughtLeadership content syndication platforms, and data-driven PR firms for content marketing budget. The 2025 strategy focuses on growing Stacker Studio brand partnerships, expanding the media distribution network, and developing AI-assisted data story generation to scale content production.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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