Autonomous AI agents are evolving from simple search companions into active decision-makers and buyers. For example, a procurement lead might ask an AI to “Find a project-management platform that meets our security standards and budget, then start a trial,” and the AI could execute this task automatically. These AI agents base recommendations on patterns and trusted data within their training models. If a product or service isn’t part of an AI’s established “trusted dataset” due to a lack of extensive, positive, and authoritative coverage, it risks being entirely excluded from the AI’s shortlist. This shifts the focus for businesses to proactively supply fresh, authoritative data for these models to learn from, as controlling how an AI summarizes an offering becomes paramount.
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