Google Patents & Research Papers
Stay updated on Google’s algorithm patents and research. Explore patents that reveal the technology and processes behind Google Search.
Google’s SAGE Agentic AI Research: What It Means For SEO
New research paper about creating a dataset for training deep research AI agents (SAGE) also provides SEO insights for content.
Google’s New User Intent Extraction Method
Google’s user intent extraction research shows how AI on mobile devices could be used to proactively assist users and automate tasks.
How Recommender Systems Like Google Discover May Work
An explainer of how recommender systems like Google Discover may work according to a classic research paper.
Google Ads Using New AI Model To Catch Fraudulent Advertisers
Google Ads quietly implements a powerful multimodal AI that improves Google’s ability to catch fraudulent advertisers.
Google’s Recommender System Breakthrough Detects Semantic Intent
Google quietly published a research paper that shows how to improve recommender systems like Google Discover and YouTube.
Google’s New BlockRank Democratizes Advanced Semantic Search
Google’s new BlockRank AI ranking method could make advanced semantic search accessible to everyone.
Google’s New Graph Foundation Model Improves Precision By Up To 40X
Google’s new Graph Foundation Model enables Google to generalize machine learning across any type of graph without retraining.
Google’s Trust Ranking Patent Shows How User Behavior Is A Signal
Google’s trust ranking patent suggests that user behavior can influence how search results are ranked.
Google’s New MUVERA Algorithm Improves Search
Google’s multi-vector retrieval algorithm (MUVERA) speeds up search, is highly efficient and improves accuracy
Google Local Search Research Paper On Business Type Extraction
A Google research paper confirms that a local search indexing system has been in use for over a year in Search and Maps
Google Patent On Using Contextual Signals Beyond Query Semantics
Recent Google patent shows how five kinds of real-world context can influence AI-generated answers
Google’s Thematic Search Patent
Google’s Thematic Search patent describes a system that closely parallels how AI Mode’s Query Fan-Out technique generates summaries
Marketing To AI Agents Is The Future – Research Shows Why
Researchers test AI agents from Anthropic, OpenAI, and Google to learn what makes them interact with advertising and other content
Google Files New Patent On Personal History-Based Search
Google’s new patent enables users to search their personal history, like web pages or emails, using natural language queries.
Google Researchers Improve RAG With “Sufficient Context” Signal
Google researchers reduce AI hallucinations in RAG by using a sufficient context signal and model confidence
Google’s “Branded Search” Ranking Factor Patent
A little-known Google patent describes the use of branded search queries as ranking factors similar to links
Google’s Infini-Attention Scales LLMs For Infinitely Long Inputs
Google’s Infini-attention is a plug and play technology that can be added to existing models, including core algorithm systems
Google DeepMind RecurrentGemma Beats Transformer Models
Google DeepMind researchers invent a high performance alternative to transformer models that uses less computing resources
Google’s Navboost Patent
A 2004 Google patent sharing similarities to Navboost is evidence of how user interactions may influence ranking algorithms
How To Read Google Patents In 5 Easy Steps
Learn how to read and understand Google patents with these five easy to learn steps
Google SGE & Generative Summaries For Search Results Patent
Learn more about US11769017B1, a patent that provides insight into Google’s Search Generative Experience and the impact of generative AI in SEO and content marketing.
Google Ranking Algorithm Research Introduces TW-BERT
Google research proposes TW-BERT, a remarkable framework that improves search ranking and is easy to deploy to existing ranking systems
Google Research Paper Resembles Helpful Content Algorithm
Google research paper may shed light on how the helpful content update works
Google CALM: A New Language Model Technology
New research paper demonstrates a way to increase language model performance speed by up to three times with minimal modifications to the LLM
Google Patent for Modifying Results Based on Generic Ratings
Google patent for showing content from around the world but modifying the search results based on generic ratings
Patent Reveals How Google May Interpret Queries Based On Entity Information
SEO expert Bill Slawski shares details from a new patent that sheds light on how Google may use entities to interpret queries.
How Autocomplete Works: The Patent Behind Google’s Query Completions
Learn about the query completion patent that helps Google predict the best autocomplete answers for a user’s search query.
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Google Patents & Future-Proofing Your SEO [Podcast]
While patents change, Google is doing a better job of picking up video and audio. Learn how this knowledge can keep you a step ahead.
Google Patent Aims to Solve Searchers’ Need for Related Media Content
Learn about a Google patent that enables searchers to explore connections between related entities in different types of media.
Google Patent: Rewriting Queries Based on Context to Meet Intent
A new patent from Google tells us how queries may be rewritten based on the context of those searches to better meet search intent.