Shopping is undergoing a fundamental shift, moving from search engine optimization to algorithm optimization for AI. According to a new Capgemini report, a quarter of consumers used generative AI shopping tools in 2025. This signals a new reality: success for brands increasingly depends on being chosen by algorithms, not just found by consumers. The era of AI-driven selection is here.
The Rise of the AI Shopper
Consumer adoption is accelerating. The Capgemini study reveals 31% more shoppers plan to use AI tools in the future. People now apply AI in various ways: purchasing directly through chatbots, seeking algorithmic advice, or delegating spending to virtual assistants. For example, OpenAI now lets US users buy from Etsy and Walmart via ChatGPT.
This transition forces a strategic rethink. Dreen Yang of Capgemini states brands must move “beyond being optimized for search to being optimized for selection.” The gatekeeper is changing from a search bar to an AI interface.
Balancing AI with Human Trust
Despite the tech surge, human elements remain vital. The report shows 66% of consumers value human support at the point of purchase. Furthermore, 71% worry about how AI uses their personal information. Therefore, brands must offer a balanced mix. They need digital convenience alongside authentic human support. Notably, basic helpline chatbots satisfied only 57% of users, indicating a need for more sophisticated, transparent AI interactions.
How to Appeal to the Algorithms
To win in this new landscape, brands must adapt their data for machines. Capgemini advises providing machine-readable, continuously refreshed data enriched with detailed product attributes. This allows AI to interpret and recommend products accurately in real-time.
Third-party reviews and ratings are also crucial. They influence how large language models describe and assess products. Essentially, rich, contextual data makes a brand more “understandable” and recommendable to AI.
The Future: Trust, Control, and Transparency
The future of AI shopping hinges on trust. A key question is how AI firms will handle advertising. If shopping assistants become ad-heavy, consumer trust in recommendations may decline. For their own AI tools, brands must prioritize user control. The report finds 63% of shoppers want to approve or reject AI-initiated purchases. Furthermore, 67% demand clear labeling of AI-generated content. Features like spending caps and “try-on” visual tools will also be key differentiators.
In conclusion, the rise of AI shopping algorithms marks a definitive pivot in commerce. Brands can no longer rely solely on traditional digital marketing. They must engineer their product data and shopping experiences to be algorithm-friendly while maintaining human trust and transparency. The brands that master this balance—offering seamless AI utility without sacrificing consumer control— will lead in the new era of automated selection.
