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New Google Patent Hints At AI Landing Pages That Could Rewrite Shopping Ad Experiences

Google just patented AI pages that can redirect users from your landing pages in shopping flows. See how the scoring works and who could be affected.

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Google has filed a patent for AI-generated content pages that describes a system to build alternative landing pages for shopping and ad-related experiences. The United States patent, titled "AI-generated content page tailored to a specific user", outlines how search context and user data can guide construction of these pages inside commercial search flows.

Google AI Generated Landing Page Patent Is Limited To Shopping & Ads
Google patent focuses on AI-generated landing pages tailored to shopping and advertising experiences.

Key Details of Google's AI-Generated Landing Page Patent

The patent describes a scoring system that evaluates an organization's existing landing page for a given query and user. If the score indicates a weak experience, the system can generate a new AI-built page from the organization's content. The patent states that the user then receives a navigation link to this generated page.

  • Patent number US12536233B1 is listed on Google Patents under the title "AI-generated content page tailored to a specific user".
  • The filing associates landing pages with "organizations" and "content providers" while giving examples centered on product and retail scenarios.
  • According to Search Engine Journal's review, landing page scores can draw on conversion rate, bounce rate, and click-through rate.
  • The patent text states that navigation links to the AI-generated page can appear within sponsored content items.
  • Example descriptions include shoppers who struggle to navigate a landing page to purchase a product when filters or structure are missing.
  • The AI-generated page examples reference product feeds, calls-to-action that lead to product pages, and sitelinks to product detail pages.

These details describe a system that rebuilds low-performing commercial pages using structured data already available to Google. The patent repeatedly cites product-related components and sponsored placements as contexts for this generation process.

Background Context and Industry Discussion

Discussion of the patent grew after SEO professionals highlighted it on social platforms and industry blogs. Consultant Glenn Gabe tweeted excerpts and commentary from analyst Joshua Squires on X. Their summary described landing page scoring and the subsequent AI generation steps, outlining scenarios where Google could send users to AI-generated pages instead of existing URLs.

Search Engine Journal staff writer Roger Montti reviewed the same patent and focused on its shopping and advertising references. His article notes that the Background section describes users struggling to navigate product purchase flows on poorly structured pages. Montti points to repeated mentions of product feeds, product filters, sponsored content, and calls-to-action as evidence of this focus.

The patent's Background section states that "landing pages may be difficult to navigate, which can reduce the user experience." It gives an example of "a user" who "may struggle to navigate a landing page to purchase a product." The text attributes this problem to interfaces that are not efficiently designed for usability and engagement.

It also notes that "the navigation link can be included in a sponsored content item." Other clauses state that the AI-generated page can include a call-to-action button to a product page and a product feed. They also mention a sitelink to a product detail page. These examples consistently reference shopping and paid placement scenarios.

Source Citations and Official Documentation

The primary source for this functionality is United States patent US12536233B1, titled "AI-generated content page tailored to a specific user", accessible through Google Patents. Industry coverage attributes the filing to Google, and the document is hosted on Google Patents. Articles by Roger Montti and posts from Glenn Gabe and Joshua Squires publicly describe the patent's mechanisms.

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