Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO and GEO related topics, steps of the information retrieval process and the probabilty they could be used nowadays or in the future.
You can navigate and filter the analysis by the internal search or by the tags. It is possible to combine the tags.
Subscribe to my newsletter or follow my RSS feed to make sure you don’t miss any new patents and papers.
To read the full patent and paper analysis and full usage of the GEO Research Suite including AI research assistants you have to sign up for a monthly or yearly membership.
I am very grateful if you support and motivate me and this project with a paid membership, recommendation, reference …
Your advantages as a GEO Research Suite member:
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 patent, filed by OpenAI, describes a system for building a faster, smaller AI model (called a “distilled generative response engine”) that can answer Internet search queries quickly and accurately. read more
This patent, granted to Microsoft Technology Licensing LLC, describes a system and method for creating a unified, shared Search Engine Results Page (SERP) system that works consistently across multiple different read more
This OpenAI patent describes a technology that enables a generative response engine (like a chatbot powered by a large language model) to automatically learn and remember personal information about a read more
This patent describes a system developed by Microsoft that uses generative AI models to dynamically build text-based documents in response to search queries. Instead of simply returning a list of read more
This patent by Google LLC describes a system and method for improving how generative models (such as large language models) respond to user input by considering not just what the read more
This patent by Google LLC describes a system that uses fuzzy matching (based on edit distance calculations) to check whether content generated by a generative AI model closely matches segments read more
This Google patent describes a system and method for managing multimedia content (such as images, videos, and audio) that is retrieved or generated by large language models (LLMs) and other read more
This patent, assigned to OpenAI OpCo, LLC, describes a system and method for caching prompts used with generative response engines (such as large language models) within a cloud computing environment. read more
This OpenAI patent describes a generative response system developed by OpenAI that incorporates a chain-of-thought (CoT) reasoning model. When the system receives a prompt, instead of immediately generating a response, read more
This Microsoft patent describes a system and method for personalizing “quick answer” search results by leveraging a user’s query history and the query histories of other users. The system builds read more
