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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 / GEO perspective.
  • New documents and summaries every month.
  • All patents tagged by topic and important authors for quick and targeted research.
  • Get GEO expert knowledge for optimizing your visibility in AI Search via the LLMO / GEO assistant
  • Use all AI Research Tools to gain insights in seconds from all documents in the taining databases, Google Leaks and DOJ trials via the Patent & Paper Analyzer and Google Leak Analyzer
  • more tools to come …
  • 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!

418 Patents & Papers in this database now

E-E-A-T (61)
Semantic Search (81)
Knowledge Graph (60)
Probably in use (122)
Marc Najork (11)
Local Search (12)
Image Search (15)
Retrieval Augmented Generation (RAG) (65)
LLMO / GEO (146)
OpenAI / ChatGPT (12)
AI Mode (57)
Chunk Relevance (40)
Query Fan Out (50)
Paul Haahr (10)
Prompt Engineering (6)
Krisztian Balog (4)
Microsoft (41)
Reranking (39)
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AI Mode (57)AIOverviews (51)Anna Lynn Patterson (6)Backlinks (28)Brand Context (7)Chunk Relevance (40)Dan Popovici (4)Data Mining (35)Deepseek (1)Document Classification (46)E-E-A-T (61)Entity based search (72)Featured Snippets (7)Freshness (12)Gemini (3)Graph RAG (15)Image Search (15)Indexing (37)Information Gain (6)Jeff Dean (11)Knowledge Graph (60)Krisztian Balog (4)Learning-to-rank (6)LLM Readability (50)LLMO / GEO (146)Local Search (12)Marc Najork (11)Microsoft (41)Navboost (9)Navneet Panda (7)News and Discover (7)Nitin Gupta (6)OpenAI / ChatGPT (12)Passage based retrieval (34)Paul Haahr (10)Personalization (33)Phrase based Indexing (10)Probably in use (122)Prompt Engineering (6)Query Fan Out (50)Ranking (146)Reranking (39)Retrieval Augmented Generation (RAG) (65)Scoring (70)Search Intent (54)Search Query Processing (108)Semantic Search (81)SERP Serving (Tangram/Glue) (7)SERP-Features (22)Shopping (10)User Signals (74)Video Search (7)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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Dynamic reranking of search results based upon source authority

This Mircrosoft patent describe technologies for dynamically reranking search results involve analyzing search queries to identify topics, then using an authority index to promote authoritative sources in the search results. read more

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Navigational resources for queries

The Google patent describes a method for improving search engines by associating initial user queries with higher-quality resources, known as navigational queries and navigational resources. This process involves analyzing sequences read more

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Image Query Analysis

The patent discusses a system designed for analyzing and categorizing images to generate efficient query responses. It utilizes textual queries to classify images into categories and derive responsive images or read more

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Verified entity attributes

The patent delves into a system that certifies web pages as associated with specific entities via semantic web markup. This system extracts attributes from these certified web pages to create read more

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Context based resource relevance

The context system discussed in the patent outlines a method for creating contextual profiles for resources (such as webpages) using selection data and relevance measures to determine how pertinent a read more

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Website quality signal generation

The Google patent relates to systems and methods for generating website quality ratings, specifically focusing on a model that correlates website signals (such as click rates, subscription rates, and PageRank™ read more

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Search result ranking based on trust

A Google patent discusses a system that ranks search results based on the trust associated with labels provided by entities. The search engine receives a query, selects relevant documents, and read more

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Context sensitive ranking

The Google patent describes a method for improving search engine results by using the context of user sessions to rank search results. Context-sensitive ranking is achieved by identifying user interactions read more

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Contextual n-gram analysis

In the given patent context, it describes a technology for improving the efficiency of bigram analysis in search queries by considering context within a search session. By comparing consecutive queries, read more

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Selectively generating alternative queries

The document details a method for enhancing search query results by combining first search results from potentially low-quality sites with second search results from high-quality sites. When a query primarily read more

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