Bill Slawski
Bill Slawski can be found online at:
Twitter: bill_slawski
LinkedIn: https://www.linkedin.com/in/slawski/
Facebook: https://www.facebook.com/bill.slawski
With more than 23 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 1,200 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 2014-2019, 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
Answering Questions Using Knowledge Graphs
Knowledge Graphs are Becoming More Popular I’m seeing a number of articles, and a patent about answering questions using Knowledge Graphs. I’ll share the articles first, and then provide more details about the Google Patent that I mentioned in a presentation last week at Pubcon. I am also going to include my presentation from Pubcon […]
Google’s New Universal Search Results
The New Universal Search Results Since June of 2007, Google has been showing Universal Search Results. These are sometimes referred to as “Blended Search” or “Enhanced Search”. Before Google added the name “Universal Search,” I remember talking about “Vertical Creep into Organic Results,” in reference to how Google was experimenting with adding results for different […]
How May Google Incorporate User Habits Into Search?
Just How Might Google incorporate User Habits Information into Search? They have patented collecting information about user habits – what might they do with that information? Might they promote query suggestions and boost search results in response to those user habits and the entities involved? A Google patent that was granted at the end of […]
Contextual Knowledge Panels at Google
Just What is a Contextual Knowledge Panel? SEO doesn’t come with an instruction manual – it would be easier if it did. But for some things we just don’t know all the rules about how they work, such as knowledge panels. We do sometimes get some hints from places like patents, and one that was […]
How Google May Do Query Rewriting by Looking at a Searcher’s Prior Queries
How Many People does Mudville Stadium (where Mighty Casey Struck Out) hold? Google was granted a new patent involving an approach to query rewriting earlier this week. It works a little differently than Google’s Hummingbird or Google’s Rankbrain. We’ve seen patents that use approaches involving rewriting queries that searchers may search with that may return […]
How Google May Interpret An Ambiguous Query Using a Semantic Interpretation
Ambiguous Queries and Semantic Interpretations When someone asks an ambiguous query at Google, how does it go about responding to that query? It may start off by trying to understand the intent behind the query, to interpret what might have been meant by the person who entered that ambiguous query and finding the right words […]
Quality Visit Scores to Businesses May Influence Rankings in Google Local Search
You can learn a lot on the Web about businesses, such as the addresses of those businesses, categories related to them, reviews that may reveal a lot of information, even stuff that a business may not have wanted to share online. Local directories can provide very detailed information about businesses too, such as the address, […]
Ranking Search Results and Product Queries
Ranking Search Results for Product Queries vs. Accessory Queries Many eCommerce sites on the Web carry products and accessories for sale online. A Google patent tells us how the search engine might distinguish between the two, and rank product queries higher than accessories queries. The patent tells us about the problem caused by information like […]
A Crowdsourcing Evaluation of Clustered Search Results
A Google Patent focusing upon ranking software applications using clustering and a crowdsourcing evaluation approach to choose the best-clustered search results was just granted. The crowdsourcing evaluation would be supplied by sources such as Mechanical Turk. In addition to being used for software applications, this approach is also intended to apply to: Products sold in […]
Do Searchers Find Value in User-Generated Content Search Results?
Is there potential value in answering questions at a site like Quora? Will your answers be found and appreciated by people? How Do Search Engines feel about User-Generated Content Search Results from Sources such as a Quora or Stack Exchange or Reddit? User Generated Content Search Results Twitter Poll I asked at Twitter if people […]