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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 / 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!

411 Patents & Papers in this database now

E-E-A-T (61)
Semantic Search (81)
Knowledge Graph (60)
Probably in use (118)
Marc Najork (11)
Local Search (12)
Image Search (14)
Retrieval Augmented Generation (RAG) (61)
LLMO / GEO (139)
OpenAI / ChatGPT (10)
AI Mode (53)
Chunk Relevance (38)
Query Fan Out (48)
Paul Haahr (10)
Prompt Engineering (6)
Krisztian Balog (4)
Microsoft (40)
Reranking (39)
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AI Mode (53)AIOverviews (48)Anna Lynn Patterson (6)Backlinks (28)Brand Context (6)Chunk Relevance (38)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 (14)in (1)Indexing (37)Information Gain (6)Jeff Dean (11)Know (1)Knowledge Graph (60)Krisztian Balog (4)Learning-to-rank (6)LLM Readability (45)LLMO / GEO (139)Local Search (12)Marc Najork (11)Microsoft (40)Navboost (9)Navneet Panda (7)News and Discover (7)Nitin Gupta (6)OpenAI / ChatGPT (10)Passage based retrieval (32)Paul Haahr (10)Personalization (30)Phrase based Indexing (10)Probably in use (118)Prompt Engineering (6)Query Fan Out (48)Ranking (146)Reranking (39)Retrieval Augmented Generation (RAG) (61)Scoring (70)Search Intent (53)Search Query Processing (107)Semantic Search (81)SERP Serving (Tangram/Glue) (7)SERP-Features (22)Shopping (10)User Signals (73)Video Search (6)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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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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Disambiguation of named entities

This patent describes a method and system for disambiguating named entities within documents and search queries using a disambiguation scoring model. The system is particularly useful for searches involving ambiguous read more

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Accelerated large scale similarity calculation

The patent describes the process for determining a similarity of two entities based on the similarity of attributes. The degree of similarity is determined by a similarity score. The purpose read more

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Dynamic Injection of related content in search results

The patent describes a methodology how a search engine automatically suggests further links and search query alternatives within a box based on the dwell time in the SERPs. The appearance read more

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Surfacing unique facts for entities

The patent is about the extraction of facts from unstructured data. (more about this also in the articles How Google can identify and interpret entities from unstructured content and Natural Language Processing to read more

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Content selection and presentation of electronic content

The patent deals with a method and system for populating an interest feed with electronic news article resources. It is obviously related to Google Discover.

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