SEO 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 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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Insights of hundreds active Microsoft, OpenAI and Google patents and resesearch papers about how search engines and LLMs work.
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Google patents and research papers summarized from a SEO / LLMO perspective.
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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.
The patent describes an information retrieval system that indexes documents using phrases and related phrase information. The system identifies phrases that predict other phrases, indexes documents based on these phrases, read more
The patent outlines methods and systems for identifying chains of related search queries from historical data. These chains help infer which results users are more likely to select, thus enhancing read more
The disclosed method allows for providing efficient query suggestions by first receiving a partial search query, attempting to match it against a database of full queries, and if insufficient matches read more
This document outlines a method for generating answers to answer-seeking queries. It involves receiving a query, classifying it as answer-seeking, obtaining associated answer types, and computing a score for passages read more
The patent describes a system and method for adjusting context scores for candidate answer passages in response to question queries. It involves determining the hierarchical path from a root heading read more
The method described processes question queries by extracting answer passages from top-ranked resources, scoring them based on query-dependent and query-independent factors, and providing the best-scoring answer. The scoring involves measuring read more
The patent discusses a computer-implemented system designed for extracting and storing information about entities from documents like webpages. It involves detecting new entities, determining their classes, and associating them with read more
The patent describes a system and method for updating knowledge graphs using a query processing engine. The process involves identifying missing or outdated elements in the knowledge graph, generating a read more
The patent discusses a method for identifying potential entities from web-based sources by generating a source data graph for each potential entity found in a text document. These graphs are read more
The document outlines a method for recognizing entity names from a plurality of web documents. It involves selecting documents with common title patterns, generating name candidates from these titles, and read more