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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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Distantly supervised wrapper induction for semi-structured documents

The patent describes systems and methods for distantly supervised wrapper induction for semi-structured documents. It includes generating and annotating training documents for the wrapper and training the wrapper in two read more

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Answering entity-seeking queries

This patent outlines a system designed to enhance how queries are processed to identify relevant entities more efficiently. The system utilizes a complex method of mapping queries to a dependency read more

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Document ranking based on entity frequency

The patent, titled “Document Ranking Based on Entity Frequency,” describes methods, systems, and computer programs for ranking documents, such as news articles, blogs, or social media updates, by considering the read more

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Learning Dense Representations for Entity Retrieval

This academic research paper discusses a dual encoder model for entity retrieval in large text databases, specifically focusing on linking text mentions to the correct entities in a knowledge base.

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Systems and methods for measuring the semantic relevance of keywords

This patent describes a system designed to enhance keyword relevance measurements by using a semantic relationship graph. The system receives a seed keyword and generates additional keywords based on their read more

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Identifying central entities

The patent describes methods, systems, and apparatuses, including computer programs encoded on computer storage mediums, for identifying central entities in digital data processing, specifically within search systems.

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Knowledge panel

The patent describes methods, systems, and apparatuses for generating and presenting “knowledge panels” in response to search queries. A knowledge panel is a dedicated area within a search results page read more

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Identifying topical entities

The patent describes methods, systems, and apparatuses for identifying topical entities related to digital resources, particularly in enhancing search functionalities and related applications.

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Knowledge-based entity detection and disambiguation

This patent details a system for entity-based search which improves the relevance of search results by focusing on entity recognition within web content. The system tags entities in web pages, read more

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Entity-based searching with content selection

The patent describes systems and methods for Entity-Based Searching with Content Selection. This involves processes where a search query is received, and it is determined whether the search query corresponds read more

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