• About me
    About Olaf KoppÜber Olaf Kopp
  • My Online-Marketing Blog
  • SEO Research Suite
    SEO Research on stereoidsPricingDatabase for SEO related patents and papersPatent & Paper AnalyzerGoogle Leak AnalyzerSemantic SEO Research AssistantLLMO / GEO AssistantMember Log InMembership account overviewSEO Research Suite Podcast
  • Stay in touch
    SEO Research Suite NewsletterSEO Research Suite PodcastOM Cafe Online Marketing Podcast (only in german)
  • My Book
  • twitter
  • linkedin
  • instagram
  • rss

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!

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)
loading
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.

Placeholder Only for SEO Research Suite member

Locally significant search queries

The patent describes methods, systems, and apparatus for servicing search queries by determining whether a general search query is locally significant for a user’s location. This involves generating a local read more

Placeholder Only for SEO Research Suite member

Triggering local extensions based on inferred intent

The patent describes methods, systems, and apparatus for triggering local content features based on the inferred intent of search queries. The process involves determining whether a search query indicates local read more

Placeholder Only for SEO Research Suite member

Determining relevance scores for locations

This patent describes methods, systems, and apparatus for determining relevance scores for geographic locations based on the relevance of various entities associated with a category. The system uses pre-computed relevance read more

Placeholder Only for SEO Research Suite member

Selecting between global and location-specific search results

This patent pertains to methods, systems, and apparatuses for selecting between location-specific and global search results. The described method involves: Receiving a query and a location identifier. Obtaining both location-specific read more

Placeholder Only for SEO Research Suite member

Directions-based ranking of places returned by local search queries

This patent describes a system and method for ranking places returned by local search queries based on directions-based popularity. The ranking considers both the distance from the user’s current location read more

Placeholder Only for SEO Research Suite member

Natural language processing with an N-gram machine

The patent describes systems and methods for machine-learned natural language processing. It involves using an encoder model to convert a natural language text body into a knowledge graph and a read more

Placeholder Only for SEO Research Suite member

Information retrieval based on historical data

The patent titled “Information Retrieval Based on Historical Data” relates to improving the quality of search results by using historical data associated with documents. This historical data includes various metrics read more

Placeholder Only for SEO Research Suite member

Web crawler scheduler that utilizes sitemaps from websites

The patent discloses systems and methods for scheduling documents for crawling using updated sitemap information. The sitemap information is updated for a website by downloading new sitemap data, which includes read more

Only for SEO Research Suite member

Sentiment detection as a ranking signal for reviewable entities

This patent discusses a method, system, and computer program product for ranking reviewable entities based on the sentiment expressed in reviews. It involves collecting multiple review texts referencing an entity, read more

Only for SEO Research Suite member

Question answering using entity references in unstructured data

This patent describes a system and method for answering natural language search queries by analyzing unstructured data linked to search results, focusing specifically on entity references such as names of read more

« Previous 1 … 22 23 24 25 26 … 32 Next »

Most popular patents and paper

  • Twiddler Quick Start Guide
  • Contextual estimation of link information gain
  • Systems and methods for improving the ranking of news articles
  • From Local to Global: A Graph RAG Approach to Query-Focused Summarization
  • The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models (free)
  • Search with stateful chat
  • GEO: Generative Engine Optimization
  • Predicting site quality
  • Predicting Latent Structured Intents from Shopping Queries
  • User-context-based search engine
  • Rethinking Search: Making Domain Experts out of Dilettantes
  • Website Representation Vector
  • RealtimeBoost Events Design
  • Generative summaries for search results
  • Generating Semantic Search Engine Results Page
  • SEMQA: Semi-Extractive Multi-Source Question Answering
  • Manipulating Large Language Models to Increase Product Visibility
  • GINGER: Grounded Information Nugget-Based Generation of Responses
  • Natural language processing based search
  • Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
SEO Research Suite Podcast
OM Cafe - The Online Marketing Podcast

  • Datenschutzerklärung
  • Impressum

Wissenswertes:

Suchmaschinenoptimierung

Online-Marketing

Customer Journey

Leadgenerierung

Performance Marketing

 

 

© | Kopp Consulting