Dynamic organization of search results
Topics: AI Mode, AIOverviews, LLMO / GEO, Query Fan Out, Search Query Processing, SERP-Features, User Signals
This Google patent describes a method for improving search engine results by using a generative AI model to break down a user’s initial search query into multiple, highly specific sub-queries. The system then simultaneously searches various specialized databases—such as those for videos, recipes, or local places—to gather a diverse set of results. Finally, it organizes these diverse findings into a single, cohesive search engine results page (SERP) featuring rich result listings, significantly enhancing the relevance and depth of the user’s search experience. For me this patent sounds a part Googles Multitask Unified Model (MUM) and a system like Tangram (Glue).
Your advantages:
+ Get access to the full exclusive paid articles in the blog.
+ Full analysis of hundreds of well researched active Microsoft, OpenAI and Google patents and research paper.
+ Save a lot of time and get insights in just a few minutes, without having to spend hours analyzing the documents.
+ Get quick exclusive insights about how search engines and Google could work with easy to understand summaries and analysis.
+ All patents classified by topic for targeted research.
+ New patent summaries and analysis every week. Weekly notification via E-Mail
+ Get GEO expert knowledge for optimizing your visibility in AI Search via the GEO assistant
+ Use all AI Research Tools to gain insights in seconds from all documents in the patent database, Google Leaks and DOJ trials via the Patent & Paper Analyzer and Google Leak Analyzer
+ Gain fundamental insights for your SEO work and become a real thought leader.
Get access to the SEO Research Suite and become a SEO thought leader now!
