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The author argues AI discoverability and agentic commerce should be top priority for brands, and shares a free method for testing how AI shopping agents (like Muse) surface, evaluate, and rank your products — revealing insights such as bot-blocking losses and ranking factors.
In an interview, Perplexity co-founder and CEO Aravind Srinivas shared the brand’s philosophy (celebrating curiosity), the full rollout of the Comet browser, chip partnerships with Nvidia/Apple/Intel, a strategy for a model-agnostic agent platform, and his view that the U.S. market alone is enough to build a trillion-dollar company.
OpenAI creative specialist Chad Nelson uses Codex as a creative collaborator to generate campaign ideas, build custom tools, and speed up prototyping. Codex's ability to understand brand context allows for rapid ideation and workflow creation.
Research on the effort heuristic shows that audiences instinctively devalue AI-generated content even when quality is identical, due to perceived lower effort. Brands should combine AI efficiency with human editing and perspective to maintain trust and credibility.
The article argues that AI agents cannot be marketed to using human emotional tactics; instead, brands must provide structured, machine-readable data. It identifies a gap between citation (being mentioned by AI) and selection (being chosen by AI) and proposes a framework of five files for agent-readable brand information.