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Designing affiliate sites for AI agents and humans, with Game Lounge Head of CX Jason Attard

Revenue Optimization26 minAired Published

Designing affiliate sites for AI agents and humans, with Game Lounge Head of CX Jason Attard

Game Lounge Head of CX Jason Attard on how design became product and CX, using AI as a designer, and agentic experience (AX) for affiliate sites.

Episode from Revenue Optimization. Summarised by the AffHouse newsroom from the full episode. How we work →

Game Lounge's Head of CX, Jason Attard, is a designer who moved from graphics into product, UX and customer experience. John Wright asks him how design is changing with AI, why some plain-looking affiliate sites still convert, and what agentic experience, or AX, means for sites.

In this episode

  • Attard says design has moved from graphics to UI, responsive design and product, and argues the experience should lead, with product, UX and conversion teams collaborating (1:01, 2:01, 4:00).

  • He sees AI as an asset for designers because it speeds up execution and leaves more time for creativity, and says his path through web, product and customer experience led him to experimentation and KPIs (5:00, 5:30, 8:02).

  • At a company hackathon he used an AI coding tool to build a full prototype in a day that he could show to clients or executives (9:31, 10:01).

  • Looking at competitor affiliate sites, he says some look unpolished but convert well; he has focused on optimisation first and design afterwards, and says Google's YMYL rules push affiliates toward product-like brands (10:30, 11:00, 12:31).

  • He defines AX as doing UX for the agent rather than the user, worries that blocking bots could shut agents out, and compares future agent-readable files to XML sitemaps (14:00, 14:30, 16:00, 16:31).

  • He expects brands to run small agents of their own, citing Expedia's travel agent and an Amazon chatbot in beta, and says a bonus search could work the same way (18:00, 20:00, 20:31, 21:01).

Interview from Revenue Optimization by StatsDrone, published on YouTube.

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