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Learn SEO Directly from the Search Engines

Last Build Date: Thu, 15 Mar 2018 02:52:33 +0000


Comment on Semantic Keyword Research and Topic Models by Hina Khan

Thu, 15 Mar 2018 02:52:33 +0000

Thanks Bill For sharing This Great Article about keyword research. i loved to read your articles but first time i am commenting on your blog.

Comment on 3 Ways Query Stream Ontologies Change Search by Bill Slawski

Wed, 07 Mar 2018 15:57:56 +0000

Hi Ozment Media, We have knowledge panels in search results. Google is using entity IDs in Google Trends and reverse image search. When Paul Haahr spoke at SMX East 2016, he told us that Google now regularly looks at queries to see if they contain entities in them before they do any other processing, and he has been a senior search engineer at Google since the early 2000s. Google has shown off other patents that use Facts and attributes to answer search queries, such as the one I wrote about in: How Knowledge Base Entities can be Used in Searches Google has told us that Structured Data is important and Google uses it to learn more precise data about things being searched for: Google: Schema & Structured Data Is Here For The Long Run Google introduced the knowledge graph five years ago in 2012, telling us that they would be searching for things and not strings then. They have shown us how important it is, given us examples of it being used in SERPS and with knowledge panels and rich results. It does appear to have moved beyond the theory stage. The old saying about the best time to plant a tree is, "20 years ago," and if that isn't possible to do it now. The same could be said to start exploring a "things and not strings" approach to search. It is not the only thing Google is doing, and Google is still using keywords and matching of keywords in queries to keywords in documents, but it is clear that they are moving to something new, and they have already shown it to us. It is more than a hopeful dream on Google's part.

Comment on 3 Ways Query Stream Ontologies Change Search by Ozment Media

Wed, 07 Mar 2018 12:34:10 +0000

You said things and not strings would form the crux of the google search engine algorithm. But I feel these things are still in theory and it will take a while to get adapted practically in the actual search algorithm of the Google. I still feel Google has a long way to go to realize this cherished ideal.

Comment on 3 Ways Query Stream Ontologies Change Search by Bill Slawski

Tue, 06 Mar 2018 18:45:28 +0000

Hi Ace, I think some of the differences between typed queries and voice-based queries include: (1) accounting for accents to possibly personalize results (2) Understanding when words within a query might be stressed vocally to give it additional meaning, and (3) reference to entities in a previous query by use of a pronoun, as a continuation of a conversational interaction with a search engine. A focus on natural language, rather than matching keywords can lead towards an evolution of search. We are seeing things such at Google Lens appear as an option in Google photos, which uses object recognition and schema to show us how Google is advancing search. It will be interesting seeing even more.

Comment on 3 Ways Query Stream Ontologies Change Search by Ace Rashid

Tue, 06 Mar 2018 06:39:36 +0000

This is a brilliant explanation of how search algorithm evolves as per user intent, search queries and as we adopt different technologies. However, the focus has always been on the user intent and in providing the best result. What I am looking forward to and would find it interesting is SERP results based on natural language and voice-based queries. For the big G, the structured data, schema markup, and multi-media data/object recognition will evolve due to more advancement in AI.

Comment on Related Questions are Joined by ‘People Also Search For’ Refinements; Now Using a Question Graph by Paul M

Sun, 04 Mar 2018 11:03:14 +0000

You are so interesting! I do not believe I’ve truly read anything like this before. So good to discover somebody with a few unique thoughts on this subject matter. Really.. thank you for starting this up. This site is one thing that is required on the internet, someone with a little originality!

Comment on Citations behind the Google Brain Word Vector Approach by Jubayer Hossain

Sun, 04 Mar 2018 00:54:06 +0000

Hey Bill, Honestly I'm so in love with your work. This is tremendous!! As I always say "Everything is Connected". To understand how machine learning algorithm affects SEO, I think these points will be the key points: 1. Google is trying to replicate human brain. 2. The only difference is avg human brain can't remember all of it's memory but Google brain can. 3. Who made Google? human!!! 4. Think like what you would do if you could remember everything like a hard drive? 5. How would you categories them? 6. How you priorities them? To become successful in Marketing you will have to be that buyer! That means replicating what you would do if you were that buyer.

Comment on Related Questions are Joined by ‘People Also Search For’ Refinements; Now Using a Question Graph by Bill Slawski

Mon, 26 Feb 2018 16:14:09 +0000

Hi Radek, I'm not sure that I have experienced the location problems that you are experiencing. Maybe you could document those?