How machine learning levels the SERP playing field
Contributor Kristopher Jones explains how SEOs should be changing their practices to keep up with trends in the way Google evaluates web pages.
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What I learned from the Danny Sullivan/Gary Illyes keynote at SMX Advanced
Columnist Eric Enge breaks down the “AMA With Google Search” session at SMX Advanced, where Search Engine Land founding editor Danny Sullivan interviewed Webmaster Trends Analyst Gary Illyes from Google.
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5 ways SEO experts say you should optimize for RankBrain
It may be difficult to optimize for RankBrain, but that doesn’t mean it’s impossible. Here, columnist Nate Dame has gathered wisdom from some of the top voices in the search industry.
The post 5 ways SEO experts say you should optimize for RankBrain a…
Has machine learning created a new model for SEO ranking?
When Google introduced RankBrain into its ranking algorithm, many wondered how that might impact SEO. Columnist Larry Kim theorizes that it has placed greater importance on user signals.
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Can we machine-learn Google’s machine-learning algorithm?
As Google becomes increasingly sophisticated in its methods for scoring and ranking web pages, it’s more difficult for marketers to keep up with SEO best practices. Columnist Jayson DeMers explores what can be done to keep up in a world where machine l…
How machine learning impacts the need for quality content
As Google continues to invest in machine learning technology to help it better understand and parse user queries, columnist Eric Enge emphasizes the need for marketers to continuously improve content quality and user satisfaction.
The post How machine…
What the heck is machine learning, and why should I care?
Understanding the impact of machine learning will be crucial to adjusting our search marketing strategies — but probably not in the way you think. Columnist Dave Davies explains.
The post What the heck is machine learning, and why should I care? appe…
How Google uses machine learning in its search algorithms
Gary Illyes of Google tells us Google may use machine learning to aggregate signals together for better search quality, and with RankBrain.
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The four pillars of the future of SEO
What does the future of search engine optimization have in store for us? Columnist Pratik Dholakiya looks at recent trends to explain the direction our industry is headed in.
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An experiment in trying to predict Google rankings
In late 2015, JR Oakes and his colleagues undertook an experiment to attempt to predict Google ranking for a given webpage using machine learning. What follows are their findings, which they wanted to share with the SEO community.
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FAQ: All about the new Google RankBrain algorithm
Google’s using a machine learning technology called RankBrain to help deliver its search results. Here’s what’s we know about it so far.
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Google uses RankBrain for every search, impacts rankings of “lots” of them
Last year, RankBrain was used for less than 15% of queries. Now Google’s confidence has increased enough that it’s used all the time.
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Key takeaways from the Google AMA: RankBrain, panda, penguin, bots & more
From Panda to Penguin, authorship to HTTPS, search console and mobile index – here are my key points from the SMX Advanced talk with Google.
The post Key takeaways from the Google AMA: RankBrain, panda, penguin, bots & more appeared first on Search Engine Land.
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Now we know: Here are Google’s top three search ranking factors
Google’s Andrey Lipattsev reveals links, content and RankBrain are the top three ranking signals in Google’s search algorithm.
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Search Update Impact On SEO & Content Strategies: Staying Ahead With A Focus On Quality
Columnist Jim Yu explores how Google’s numerous algorithm updates over the years have shaped search engine optimization strategies. Can this information provide a clue for what to expect in the future?
The post Search Update Impact On SEO & Conten…