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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Get quick exclusive insights about how search engines and Google could work with easy to understand summaries and analysis.
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 Google patent describes a method for generating related questions for search queries. The system receives a search query, obtains search results, selects topic queries for each search result resource read more
The Google patent describes a system for classifying web resources into categories using a deep neural network. It includes an embedding layer that converts input features into numeric values, neural read more
The document “MMSEARCH: Benchmarking the Potential of Large Models as Multi-Modal Search Engines” explores the capabilities of Large Language Models (LLMs) and Large Multimodal Models (LMMs) in enhancing AI search read more
The patent describes methods for predicting site quality scores for new websites using phrase models. It involves generating a phrase model from previously scored sites, where the model maps phrase read more
The paper titled LMDX: Language Model-based Document Information Extraction and Localization from Google Deepmind introduces a methodology for using large language models (LLMs) to extract and localize entities from visually read more
The Google patent describes methods and systems for determining duration performance scores for websites based on user visit durations and website categories. The process involves obtaining duration measurements of user read more
The patent describes methods for revising search queries by adding terms from previously submitted queries by the same user. The system determines if a current query is similar to a read more
The Google patent describes a method and system for indexing documents in a collection of linked documents, such as web pages on the internet. It focuses on creating and using read more
This Google patent describes a method for improving search result rankings by utilizing user behavior data associated with links between documents. The key idea is to identify relevant anchor links read more
This Google patent outlines a method and system for identifying authoritative documents tied to specific locations by utilizing various signals. It describes how authoritative documents are determined based on their read more