Adobe Tests AI Tool for Personalized Content Recommendations

Anthony Ha
July 7, 2020
Adobe Tests AI Tool for Personalized Content Recommendations
Adobe is exploring the use of artificial intelligence to automatically personalize blog content for different visitors. This innovative tool, developed as part of the Adobe Sneaks program, aims to enhance reader engagement by suggesting tailored headlines, images, and preview blurbs.
Key Features and Functionality
- AI-Powered Personalization: The tool leverages Adobe Sensei, the company's AI technology, to analyze audience segments and recommend personalized content variations.
- Content Optimization: It goes beyond simple A/B testing by offering AI-driven suggestions for headlines, images (sourced from a publisher's library or Adobe Stock), and preview blurbs.
- Audience Segmentation: The system can tailor content presentation for different audience personas, as demonstrated with a tourism company's blog post about Australia, which was adapted for thrill-seekers, frugal travelers, and partygoers.
- Snippet Quality Score: Human editors can review AI recommendations and consult a "Snippet Quality Score" to understand the rationale behind Sensei's suggestions.
- Focus on Automation: Adobe's AI approach emphasizes applying automation to specific use cases rather than building a broad AI platform. The AI does not alter the core content but refines its promotion.
Development and Impact
- Adobe Sneaks Program: This initiative allows employees to develop and showcase new ideas. According to Steve Hammond, Senior Director of Adobe Experience Cloud, approximately 60% of Sneaks eventually make it into a live product.
- Addressing Creator Needs: Hyman Chung, Senior Product Manager for Adobe Experience Cloud, highlighted that the tool is designed for content creators and marketers who are experiencing increased traffic (e.g., a 30% month-over-month increase on Adobe's own blog in April) and are looking for efficient ways to boost reader engagement.
- Privacy Considerations: Hammond noted that the audience personas used by the tool are typically based on information that visitors have voluntarily shared with a brand or website.
Adobe's AI Strategy
Adobe's strategy focuses on practical AI applications that enhance existing workflows rather than creating a standalone AI platform. This approach aims to empower creators by streamlining content adaptation and improving audience targeting without compromising the integrity of the original content.
Related Content
Topics Covered
- Adobe
- Adobe Sensei
- Adobe Summit
- AI
- Artificial Intelligence (AI)
- Media & Entertainment
TechCrunch Events
- TechCrunch All Stage
- Date: July 15, 2025
- Location: Boston, MA
- Focus: Strategies, workshops, and connections for founders and VCs from seed to Series C.
- Offer: Save up to $475 on passes.
Related Articles
- TechCrunch All Stage launches in Boston today — don’t miss what founders are learning
- Nextdoor redesigns app with AI recommendations, local news, and real-time emergency alerts
- Tesla finally enters India — nine years after Elon Musk first teased its debut
- Meta is reportedly using actual tents to build data centers
- Nvidia is set to resume China chip sales after months of regulatory whiplash
- Brian Singerman is raising over $500M for a new fund with a twist on the VC model
- Meta built its AI reputation on openness — that may be changing
Tags:Adobe SenseiAIAI for businessAI in MarketingComputer VisionGenerative AIMachine LearningMachine Learning ModelsMarketing TechnologyNLPPredictive Analytics
Original article available at: https://techcrunch.com/2020/07/07/adobe-ai-for-content-creators/