The speaker shut down his own successful landing page agency, Hooks, anticipating that AI would make it easy for brands to build pages internally. This prediction is now reality, as brands leverage AI for copywriting, design, and development, causing a significant drop in client flow for traditional agencies.
Modern landing pages serve a dual purpose. Beyond converting human visitors, they must provide clear, structured information—product details, reviews, comparisons—to feed the AI layer, including shopping agents and LLMs. This machine readability is becoming as critical as user experience for brand discovery and sales.
AI enables "merchandising" in real time, creating bespoke landing pages that perfectly match the angle of a specific ad. This goes beyond A/B testing, allowing brands to build a complete funnel with tailored proof points, offers, and objection handling that directly corresponds to the ad creative a customer just saw.
Instead of a single product page, use AI to rapidly create multiple landing pages, each designed to tackle a specific customer objection. Pages can be tailored to answer questions like "Is it worth the price?" or "Will it work for me?" This strategy, used by brands like Dr. Squatch, proactively addresses customer doubts.
Without strict guidance, AI page builders can produce generic, low-quality "slop" that harms your brand. To achieve high-quality, "one-shot" page creation, you must provide the AI with a comprehensive brand book, including tone of voice, colors, button styles, hover states, and messaging rules.
The highest leverage AI input is customer data. The speaker recommends creating a central "brain" or agent and feeding it a constant stream of data via APIs from reviews, customer support tickets, social media mentions, and ad comments. This gives the AI unparalleled context for creating effective landing pages.