Bill Slawski
Bill Slawski can be found online at:
Twitter: bill_slawski
GooglePlus: https://plus.google.com/+BillSlawski
With more than 20 years of SEO experience and a Juris Doctor Degree, Bill is the foremost expert on Google’s patents as related to SEO. Bill is the Editor of SEO by the Sea, a prominent search engine optimization blog, where he is the author of over 1,000 posts.
Bill’s experience includes Fortune 500 brands and some of the largest websites in the world. Bill is a contributing author for Moz and Search Engine Land. In 2014-2016, he spoke at industry leading conferences about topics including search engine algorithms, universal and blended search, personalization in search, search and social, and duplicate content problems, structured data and schema
Building Knowledge On the Web A patent granted to Google about Structured Data recently told us about how JSON-LD could be used to answer queries about books. I wrote about that patent in a post titled Google Patent on Structured Data Focuses upon JSON-LD. I was interested in finding more about what Google might be […]
Using the Heart Framework to Plan, Track, and Measure Goals on Your Site?
How Does Google Set Goals for Their Sites? I often write about patents or whitepapers from places such as Google or Apple and try to see if they are doing things or using approaches that are worth exploring and understanding better, to help me meet my goals for sites. If you used Google Maps when […]
Google Phrase-Based Indexing Updated
Google has updated one of their most important patents today What Phrase-Based Indexing Covers When a page covers a topic such as “President of the United States”, chances are good that it might include meaningful phrases on that page that could be said to predict what the page is about, such as “White House” or […]
Microsoft Patents Food Logging via Images
Microsoft Targets Food Logging of Nutritional Meals I’ve been trying to watch what I am eating and capture workouts on a stationary bike, and with resistence bands. There are sites that can track those, and they can estimate how many calories you consume with your meals, and how many of those you may burn off […]
Disambiguating Search Input Based On Context of Input
“Hey Google; New York, New York!” Google hears a query for “New York, New York.” Does it give directions, play a Frank Sinatra Song, or show tourist style search results? Likely that depends upon the context of that query. As we are told in a Google patent: User input can be identified as ambiguous for […]
How Google’s Job Search Engine Uses Machine Learning
I’ve had some people ask me recently why I think it is important to share patents that describe things that a search engine might offer, like a recently added job search engine The legal purpose behind a patent is to give a patent holder a chance to exclude others from using the same process as […]
Google Granted Patent for ‘Predicting User’s Needs for a Particular Context’
Stop Guessing Query Terms and Start Predicting User’s Needs Usually, when someone uses a search engine, they enter search query terms or a question into a search box. A Patent granted to Google suggests alternatives to “guessing search terms” to try to obtain “information necessary to achieve a particular goal.” This patent came to my […]
My Fifth Post About Context at Google: Adding Context Facts to Question Answers
Context Facts Tell Us How Entities are Related Google provides an example of how a site can use context information in a new patent that tells us about context facts. This post is about putting facts into context, and I feel like I need to point out other posts I have written about context at […]
Answering Questions with Structured Data
Only the Facts, Fast Back in 2005, The Official Google Blog published a post called, Just the Facts, Fast. Recently, Google has been showing single result answers to queries that has captured a lot of attention in posts such as, Zero-Result SERPs: Welcome to the Future We Should’ve Known Was Coming. Showing just one answer […]
SEO Moves From Keywords to Ontologies and Query Patterns
From Keywords to Ontologies When we ask Google, “How tall is Barack Obama,” we aren’t searching for pages that match certain keywords, but instead factual information about the person who was the 44th US President. The types of searches we are performing, and the ways that search engines are collecting information and indexing it, and […]