Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO and LLMO/GEO related topics, steps of the information retrieval process and the probabilty they could be used nowadays or in the future.
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A patent application does not mean that the methods described there will find its way into practice in the search engines. An indication of whether a methodology/technology is so interesting for Google that it could find its way into practice can be obtained by checking whether the patent is pending only in the US or other countries. The claim for a patent priority for other countries must be made 12 months after the first filing.Regardless of whether a patent finds its way into practice, it makes sense to deal with Google patents, as you get an indication of the topics and challenges that product developers at Google and other search engines are dealing with.
This Google patent describes a system where search engines use generative artificial intelligence to help users find specific information within a website without having to browse it manually. When a read more
This Google patent describes a system that uses artificial intelligence to identify when a user’s search query or prompt lacks enough detail to provide a specific, useful result (such as read more
This Google patent describes a system that uses Large Language Models (LLMs) to scan a specific website domain and identify a particular entity mentioned there. Unlike traditional scrapers, this AI read more
This Google patent describes a system designed to improve the accuracy of “long answers” or answer passages in search results. The technology works by extracting sections of text that follow read more
This Microsoft patent describes a system designed to improve the efficiency of Large Language Model (LLM) applications by using a sophisticated semantic cache. Instead of using a single, rigid similarity read more
This Google patent describes a system for semantic parsing that converts natural language queries into structured data using embedding space representations. By comparing the mathematical “fingerprints” (embeddings) of a user’s read more
This Microsoft patent describes a system designed to reduce “hallucinations” (false information) in conversational AI by using a structured multi-step prompting process. The system uses a primary machine learning model read more
This Microsoft patent describes a system designed to improve how AI models find and use information from large document databases, such as those used by a company. Instead of feeding read more
This Google patent describes a system that monitors web data to detect specific “change events” or updates related to various topics. When a change is detected, the system uses a read more
This Microsoft patent describes a method for training “extreme classifiers,” which are machine learning models designed to categorize data into millions or even hundreds of millions of different labels. The read more
