GEO Research Suite database: Hundreds of SEO and LLMO related papers and patents (Google, Microsoft, OpenAI) ... every SEO should know!
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.
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Insights of hundreds active Microsoft, OpenAI and Google patents and resesearch papers about how search engines and LLMs work.
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Patents and research papers from Google, Microsoft, OpenAI … summarized from a SEO / GEO perspective.
New documents and summaries every month.
All patents tagged by topic and important authors for quick and targeted research.
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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 patent relates to methods, systems, and apparatus for evaluating optionalization rules used in revising search queries. The system uses “click” and “skip” evaluations to determine the effectiveness of making read more
This patent introduces an advanced method for evaluating and adjusting search result relevance based on user interactions with search results, specifically focusing on the proximity of query terms within the read more
The patent describes a Query Composition System aimed at improving search query suggestions by leveraging context clusters. These clusters are determined based on user input contexts, such as location, time, read more
This patent describes methods, systems, and apparatus for computing quality scores for web entities based on features of neighboring entities. A quality model is trained using a set of training read more
This patent describes a system and method for generating query refinement suggestions. The method includes collecting refinement data for received source queries, clustering this data, and identifying potential refinement query read more
The patent describes a system designed to enhance the processing of search queries using an attention-based ranking model. This innovative model focuses on improving the relevance and accuracy of search read more
Dense Retrieval models typically encode queries and documents using single-vector representations for retrieval in the embedding space, which can miss different aspects of relevance, especially in specific domains. This patent read more
The patent “Identifying Product Variants” describes a system and method for identifying and grouping product variants in an electronic product catalog. This invention aims to improve the user interface and read more
This patent describes a system and method for improving internet-based product searching by automatically mining product classification structures. The core innovation is using web-crawling software to collect and analyze product read more
The patent describes methods and systems for extracting entity relationships at web scale. This involves creating large-scale entity relationship graphs from various data corpora. These graphs help identify previously undiscoverable read more