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 ALDRIFT: AI Answers That Do More Than Sound Plausible
Google’s ALDRIFT framework “opens exciting avenues” toward AI answers that do more than sound plausible.
The Fully Non-Human Web: No One Builds The Page, No One Visits It
The web is splitting into transactional systems run by AI and experiential spaces for humans, forcing brands to rethink visibility, trust, and measurement.
The Facts About Google Click Signals, Rankings, And SEO
What Google’s systems actually do with click data and what it means for SEO and rankings.
Google’s Patent On Autonomous Search Results
A recently updated patent describes how an automated assistant can circle back to a user when an answer is available at a later date.
Google’s Titans And MIRAS: Significant Advancement In Long-Context AI
Google’s Titans architecture and MIRAS framework enable AI to handle massive amounts of data and work faster.
Google’s AI Generated Landing Page Patent Is Limited To Shopping & Ads
Google’s AI landing page generator patent is limited to low conversion shopping pages, product feeds and advertising.
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 Google Discover Works: Recommender System Algorithms
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