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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.


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 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!

371 Patents & Papers in this database now

E-E-A-T (57)
Semantic Search (76)
Knowledge Graph (56)
Probably in use (100)
Marc Najork (11)
Local Search (12)
Image Search (12)
Retrieval Augmented Generation (RAG) (48)
LLMO / GEO (108)
OpenAI / ChatGPT (9)
AI Mode (41)
Chunk Relevance (29)
Query Fan Out (40)
Paul Haahr (10)
Prompt Engineering (5)
Krisztian Balog (3)
Microsoft (28)
Reranking (35)
loading
AI Mode (41)AIOverviews (44)Anna Lynn Patterson (6)Backlinks (28)Chunk Relevance (29)Dan Popovici (4)Data Mining (30)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 (29)LLMO / GEO (108)Local Search (12)Marc Najork (11)Microsoft (28)Navboost (9)Navneet Panda (7)News and Discover (3)Nitin Gupta (6)OpenAI / ChatGPT (9)Passage based retrieval (27)Paul Haahr (10)Personalization (25)Phrase based Indexing (10)Probably in use (100)Prompt Engineering (5)Query Fan Out (40)Ranking (138)Reranking (35)Retrieval Augmented Generation (RAG) (48)Scoring (66)Search Intent (46)Search Query Processing (94)Semantic Search (76)SERP Serving (Tangram/Glue) (7)SERP-Features (21)Shopping (8)User Signals (65)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.

Only for SEO Research Suite member

Modifying search result ranking based on corpus search statistics

The patent details methods, systems, and apparatus, including computer programs, for ranking search results of a query using search statistics across different corpora. It involves determining the relevance of various read more

Only for SEO Research Suite member

Reordering search query results in accordance with search context specific predicted performance functions

The patent titled “Reordering Search Query Results in Accordance with Search Context Specific Predicted Performance Functions” revolves around improving search result relevance by customizing the order of results based on read more

Only for SEO Research Suite member

Content keyword identification

The patent describes a method, system, and computer program for assembling user interaction statistics for content elements displayed in connection with a target media document that has a non-textual part. read more

Only for SEO Research Suite member

Generating a related set of documents for an initial set of documents

This patent describes methods, systems, and computer programs for identifying documents related to an initial set of documents. It focuses on generating a set of related documents based on user read more

Placeholder Only for SEO Research Suite member

Phrase-based searching in an information retrieval system

This patent details an information retrieval system that significantly advances the capabilities of search engines by emphasizing phrase-based indexing, searching, and document processing. Unlike traditional systems that rely solely on read more

Placeholder Only for SEO Research Suite member

Modifying search result ranking based on a temporal element of user feedback

The patent addresses a method for modifying search result rankings based on a temporal element of user feedback. It suggests a dynamic approach to adjusting search results based on how read more

Placeholder Only for SEO Research Suite member

Ranking search results based on similar queries

The patent describes a method and system for improving the ranking of search results based on the analysis of similar queries made previously. It addresses the challenge of refining search read more

Placeholder Only for SEO Research Suite member

Determining User Intent from Query Patterns

The document published on October 21, 2014, with Yair Kurzion from Mountain View, California, listed as the inventor and Google Inc. as the assignee. The patent, titled “Determining User Intent read more

Placeholder Only for SEO Research Suite member

Query refinements using search data

The analysis of the patent reveals a system developed by Google Inc. that focuses on enhancing search query refinements using historical data and the geographic location of user devices. The read more

Only for SEO Research Suite member

Reputation scoring of an author

The patent describes methods, computer program products, and systems for managing and scoring the reputation of authors of online content. This system allows for the dynamic handling of content from read more

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