Meta to Use AI Chatbot Conversations for Personalized Ads and Recommendations – mezha.net

Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
On September 2, the Meta AI app logo can be seen on a smartphone. Credit: Matthias Balk/dpa/picture alliance/Getty Images.
As informed by CNN
Meta is taking a significant step in personalization: conversations between users and the Meta AI chatbot will soon become part of advertising logic and recommendations. The company said these interactions will form the basis for even more targeted and relevant recommendations, and users will start noticing messages about the changes in a few days. The rollout will begin with a gradual deployment on December 16, 2025.
Currently, Meta already analyzes what you publish, what you click on, and whom you are connected with in your social networks. The new approach expands these data: in conversations with the chatbot, a user can directly indicate what they are looking for or where they plan to travel. Such data will help determine interests and suggest relevant content and ads not only within Meta’s services but also on related platforms.
In addition, Meta plans to use data from Meta AI to determine what content to show to users on the company’s website and apps. According to the company, for example, if the topic is hiking, the system will remember the interest and offer more materials on that topic. At the same time, such steps raise questions about how to prevent the use of private or sensitive conversations for unwanted recommendations.
“Just like other personalized services, we tailor the ads and content you see based on your activity so that your experience changes according to your interests.”
“Many people expect that their interactions will make what they see more relevant. Soon, interactions with AI will become another signal we use to improve the user experience.”
Meta assures that personalized advertising will stay within its rules and will not touch on sensitive topics such as religious beliefs, sexual orientation, political beliefs, health, race or ethnicity, philosophical views, or union membership. However, some topics may receive additional attention depending on user interactions.
After the launch of Meta AI, there have been cases where private conversations were accidentally made public. The company added a pop-up that warns before posting a conversation in Discover to reduce the risk of accidentally exposing private information.
The content submission mechanism also changed: a Vibes stream appeared – an endless feed of videos created by users and AI. It can influence which topics and formats of content you see more often, and accordingly – the related advertisements.
If you watch a lot of videos involving AI, the algorithms may increase the presence of ads on topics related to you, including on Instagram. This again underscores the importance of carefully managing your privacy and personalization settings.
All these steps are aimed at making interactions with Meta services more personalized, but at the same time users are provided with tools to control what data they want to be used for advertising and which topics to avoid. It is important to regularly review privacy settings and personalization controls to maintain the desired level of privacy.
Changes from Meta illustrate the ongoing evolution of the digital environment, where AI becomes more tightly intertwined with advertising and recommendation systems. In an era of growing AI influence on our online experience, personal participation in privacy customization remains one of the key tools for controlling what we see on the Internet.
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