We are not using AI to search for pre-existing content. We are asking it to curate content for us. This is not a mere evolution … its a revolution against Google and Microsoft!*

In recent years, artificial intelligence (AI) has significantly transformed the way we search for information online. From personalized recommendations to predictive search results, AI has revolutionised the search experience, making it more intuitive and efficient. The term “AI search” may not fully capture the depth of what AI can do. It also doesn’t capture the complexity of AI in information retrieval. Instead, we should consider renaming AI search to “AI Compose.” This change better reflects its multifaceted abilities. It also highlights the collaborative nature of the interaction between users and intelligent algorithms.

AI Compose involves the idea that AI is not just searching for information. Instead, it actively composes and curates results based on user context, preferences, and intent. It goes beyond the traditional concept of search. It evolves into a dynamic process of co-creation between human users and AI systems. Here are several compelling reasons why AI search should be rebranded as AI Compose:

1. Personalized Content Curation: AI Compose emphasizes the role of AI in crafting personalized content experiences for users. AI algorithms do more than retrieve search results. They actively compose and curate content based on individual preferences, behavior, and historical interactions. This personalized curation elevates the search experience, delivering tailored information that aligns with the user’s specific needs and interests.

2. Proactive Information Synthesis: AI Compose demonstrates how AI proactively synthesizes information. It gathers data from diverse sources. This approach presents comprehensive and coherent results. AI algorithms actively analyze data. They interpret and synthesize information from various formats and sources. This effectively composes insightful and contextually relevant information for users.

3. Intntelligent Recommendation Generation: Diligent Recommendation Generation: AI Compose embraces the idea that AI is not just searching for answers. It is also generating intelligent recommendations. AI algorithms analyze user preferences and behavior. Then, they proactively compose recommendations. These recommendations suggest relevant content, products, or services that align with the user’s needs and preferences.

4. Collaborative User-AI Interaction: The term AI Compose underscores the collaborative nature of the interaction between users and AI systems. It acknowledges that users actively participate in the process. They provide input, feedback, and signals that inform AI algorithms. These algorithms compose and refine search results.

5. Future-Forward Representation: Rebranding AI search as AI Compose signals a forward-looking approach. This rebranding reflects the evolving capabilities of AI in composing, contextualizing, and presenting information in innovative ways. This shift in terminology acknowledges the ongoing advancements in AI technology and its potential to transform the search experience. In conclusion, AI Compose offers a comprehensive view. It provides a nuanced perspective on the evolving role of AI in information retrieval. It also plays a significant role in content curation.

By adopting this terminology, we embrace the transformative potential of AI. It actively composes, curates, and presents information that is personalized. The information is proactive and collaborative. As AI continues to redefine the search landscape, AI Compose exemplifies the cooperation between human users and intelligent algorithms. Together, they shape the future of information discovery. They also drive knowledge synthesis.

*Chat GPT is owned by Microsoft, and Microsoft are rolling out an array of AI generated products