Google is opening new horizons in the world of personalized content by hiring engineers to develop and implement artificial intelligence into its Discover service. This strategic decision aims to create a dynamic, ever-changing stream of information that will meet users’ deepest interests. If you’ve ever wondered how to make 100 unique pieces from one source, Google seems to have found the answer in AI.
According to job postings, the Discover Feed Recommendation team will “recommend AI-generated content (AIGC) to meet user interests.” This is not just a recommendation, but an entire system capable of circumventing traditional algorithms and offering something completely new, unique to each user.
How Google Plans to Transform Discover with AI
Job postings reveal Google’s ambitious plans to transform Discover into a “proactive, hyper-personalized concierge service.” This means that the platform will not just show you content, but also anticipate your needs, offering information that will help you achieve your goals.
Roles and Responsibilities of New Specialists
- Staff ML Engineer: This role involves quality control, topic discovery, and content understanding for the Discover team’s AI-generated content. Tasks include building agent flows that generate content for “proactive surfaces” like Discover and Notifications. Special attention is paid to fact-checking, relevance, coherence, and tone, as well as feedback mechanisms for finding and delivering engaging stories worldwide.
- Senior Staff ML Software Engineer: Similar work, but at a higher level, with an emphasis on the quality of AI-generated content used across all major Google platforms.
- Principal UX (Director+): This leadership design position aims to transform Discover into a “concierge experience” that helps users progress towards their goals. The salary for this position ranges from $275,000 to $382,000 USD plus bonuses and stock. The specialist will work with YouTube, Shopping, Chrome, and Android teams, scaling AI formats in the feed while keeping the human voice and sources at the forefront.
“Our goal is to help people dive deeper into their interests and move from inspiration to action,” one job posting states.
This is not just content repurposing; it’s its complete repackaging and adaptation to individual needs, almost like creating “video DNA” for each user.
Google is already actively integrating AI into Discover. In October 2023 (presumed typo correction in the original), AI previews for trending topics were launched in the US, South Korea, and India, each linking to content on the internet. This is an excellent example of how video uniqueness and articles can help bypass anti-plagiarism and attract new audiences.
Features already available or being tested:
- Discover Customization: Since August, users can customize their feed, indicating what they want to see more or less of.
- “Dive Deeper” Button: In September, Robbie Stein, VP of Product at Google Search, announced testing a button that opens a brief overview of a topic with links to related stories, starting with videos. This is a kind of “video matryoshka,” where many small pieces of content, adapted for TikTok, Shorts, and Reels, can be obtained from one large piece of content.
The Discover Experience team, responsible for the user-facing part of the feed, including AI integration, serves over 500 million active users daily, making Discover one of the largest products in the world.
Search Console Report and Control over AI Content
Search Console already provides reports on when links to your site appear in Discover’s generative AI features. This allows webmasters to track the effectiveness of their pages in Google’s new recommendation “matrix.”
- The report shows impressions of links to your site in Discover’s generative AI features, grouped by page, country, and date.
- The “Pages” view lists the canonical URLs that provided the information shown in these features.
It’s important to note that the inclusion of your site in Discover’s generative AI features is regulated through Search generative AI control, which also covers AI Overviews and AI Mode. Excluding a site from these features prevents its links and content from appearing in generative AI Search.
Frequently Asked Questions
What is content repurposing in simple terms?
Content repurposing is the process of transforming existing content into new formats or for new audiences. For example, turning a webinar into 50 short clips for social media or adapting an article into an infographic. This allows you to scale content and get more return on invested resources.
Should I order uniqueness or create new content?
It depends on your goals and budget. Video uniqueization and other content can be significantly cheaper and faster than creating new content from scratch, especially if you already have high-quality source material. For bypassing ad bans or for generating variations for A/B tests, uniqueization is a powerful tool.
How does AI help in bypassing anti-plagiarism?
AI can analyze text or video, identify key elements, and rephrase them, change the structure, background, voice timbre, creating new, unique versions. This allows you to get a uniqueization package that passes originality checks while maintaining the main meaning and message.
Conclusion
Google is actively investing in the development of AI-generated content for Discover, striving to create the most personalized and proactive user experience. This opens up new opportunities for content creators in the field of repurposing and uniqueization. Monitor Search Console reports and experiment with adapting your content to make the most of these innovations. Start adapting your content for different social networks today to be at the forefront of this digital transformation!
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