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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.


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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To read the full patent and paper analysis and full usage of the SEO 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 SEO Research Suite member:

  • Access to the full exclusive paid articles in the blog.
  • Insights of hundreds active Microsoft, OpenAI and Google patents and resesearch papers about how search engines and LLMs work.
  • Save a lot of time and get insights in just a few minutes, without having to spend hours analyzing the documents.
  • Get quick exclusive insights about how search engines and Google could work  with easy to understand summaries and analysis.
  • Google patents and research papers summarized from a SEO / LLMO perspective.
  • New documents and summaries every month.
  • All patents tagged by topic and important authors for quick and targeted research.
  • Use the AI Research Tools to gain insights in seconds from all documents in the database, the Google API Leak, Quality Rater Guidelines, Antitrust trial, Google developer documentation …
  • Gain fundamental insights for your SEO and LLMO / GEO work and become a real thought leader.
Get the monthly or yearly SEO thought leader membership and get full access to the SEO Research Suite now!

376 Patents & Papers in this database now

E-E-A-T (57)
Semantic Search (76)
Knowledge Graph (56)
Probably in use (103)
Marc Najork (11)
Local Search (12)
Image Search (12)
Retrieval Augmented Generation (RAG) (49)
LLMO / GEO (111)
OpenAI / ChatGPT (9)
AI Mode (42)
Chunk Relevance (32)
Query Fan Out (41)
Paul Haahr (10)
Prompt Engineering (6)
Krisztian Balog (3)
Microsoft (32)
Reranking (35)
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AI Mode (42)AIOverviews (45)Anna Lynn Patterson (6)Backlinks (28)Chunk Relevance (32)Dan Popovici (4)Data Mining (31)Deepseek (1)Document Classification (45)E-E-A-T (57)Entity based search (67)Featured Snippets (6)Freshness (12)Gemini (3)Graph RAG (13)Image Search (12)Indexing (32)Information Gain (6)Jeff Dean (11)Know (1)Knowledge Graph (56)Krisztian Balog (3)Learning-to-rank (6)LLM Readability (32)LLMO / GEO (111)Local Search (12)Marc Najork (11)Microsoft (32)Navboost (9)Navneet Panda (7)News and Discover (5)Nitin Gupta (6)OpenAI / ChatGPT (9)Passage based retrieval (27)Paul Haahr (10)Personalization (26)Phrase based Indexing (10)Probably in use (103)Prompt Engineering (6)Query Fan Out (41)Ranking (139)Reranking (35)Retrieval Augmented Generation (RAG) (49)Scoring (67)Search Intent (47)Search Query Processing (96)Semantic Search (76)SERP Serving (Tangram/Glue) (7)SERP-Features (21)Shopping (8)User Signals (66)Video Search (4)Xin Luna Dong (5)

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.

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Integrating external related phrase information into a phrase-based indexing information retrieval system

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

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Populating query suggestion database using chains of related search queries

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

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Query rewrites for generating auto-complete suggestions

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

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Generating elements of answer-seeking queries and elements of answers

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

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Context scoring adjustments for answer passages

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

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Scoring candidate answer passages

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

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Computerized systems and methods for extracting and storing information regarding entities

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

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Question answering to populate knowledge base

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

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Automatic discovery of new entities using graph reconciliation

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

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Entity name recognition

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

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