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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!

320 Patents & Papers in this database now

E-E-A-T (52)
Semantic Search (73)
Knowledge Graph (47)
Probably in use (85)
Marc Najork (11)
Local Search (12)
Image Search (11)
Retrieval Augmented Generation (RAG) (38)
LLMO / GEO (79)
OpenAI / ChatGPT (5)
AI Mode (26)
Chunk Relevance (21)
Query Fan Out (24)
Paul Haahr (10)
Prompt Engineering (5)
Krisztian Balog (3)
Microsoft (17)
Reranking (34)
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AI (Deep Learning) (112)AI Mode (26)AIOverviews (37)Anna Lynn Patterson (6)Backlinks (27)Chunk Relevance (21)Dan Popovici (4)Data Mining (26)Deepseek (1)Document Classification (38)E-E-A-T (52)Entity based search (62)Featured Snippets (6)Freshness (11)Gemini (3)Graph RAG (9)Image Search (11)Indexing (27)Information Gain (6)Jeff Dean (11)Know (1)Knowledge Graph (47)Krisztian Balog (3)Learning-to-rank (5)LLM Readability (20)LLMO / GEO (79)Local Search (12)Marc Najork (11)Microsoft (17)Navboost (9)Navneet Panda (7)News and Discover (3)Nitin Gupta (6)OpenAI / ChatGPT (5)Passage based retrieval (21)Paul Haahr (10)Personalization (20)Phrase based Indexing (9)Probably in use (85)Prompt Engineering (5)Query Fan Out (24)Ranking (128)Reranking (34)Retrieval Augmented Generation (RAG) (38)S (1)Scoring (60)Search Intent (36)Search Query Processing (81)Semantic Search (73)SERP Serving (Tangram/Glue) (5)SERP-Features (19)Shopping (5)User Signals (60)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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Presenting image search results

The patent describes a system and method for presenting image search results. It addresses the organization and ranking of user-submitted images and their associated labels in response to an image read more

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Ranking and selecting images for display from a set of images

The patent describes a method for ranking and selecting images for display from a set of images. This involves examining various characteristics of the images, determining individual and overall scores read more

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Click or skip evaluation of reordering rules

The patent details methods, systems, and apparatus for evaluating query term reordering rules in search engines. This involves determining if the order of query terms in a user’s search results read more

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Removing substitution rules based on user interactions

The patent describes a system for removing substitution rules in search queries based on user interactions. This is achieved by evaluating user interaction with search results generated from revised search read more

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Click or skip evaluation of query term optionalization rule

This patent relates to methods, systems, and apparatus for evaluating optionalization rules used in revising search queries. The system uses “click” and “skip” evaluations to determine the effectiveness of making read more

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Click or skip evaluation of proximity rules

This patent introduces an advanced method for evaluating and adjusting search result relevance based on user interactions with search results, specifically focusing on the proximity of query terms within the read more

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Query composition system

The patent describes a Query Composition System aimed at improving search query suggestions by leveraging context clusters. These clusters are determined based on user input contexts, such as location, time, read more

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Evaluating quality based on neighbor features

This patent describes methods, systems, and apparatus for computing quality scores for web entities based on features of neighboring entities. A quality model is trained using a set of training read more

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Systems and methods for providing search query refinements

This patent describes a system and method for generating query refinement suggestions. The method includes collecting refinement data for received source queries, clustering this data, and identifying potential refinement query read more

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Processing queries using an attention-based ranking system

The patent describes a system designed to enhance the processing of search queries using an attention-based ranking model. This innovative model focuses on improving the relevance and accuracy of search read more

« Previous 1 … 23 24 25 26 27 … 32 Next »

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