Some probably image that SEO companies, such as SEO TWIST, spend their days hacking into the Matrix, reshaping the Internet and search results with black magic and techno-sorcery. Or maybe they picture our team crowded around a giant whiteboard all day, discussing synergy and deliverables and other words no one really understands. But what our team really does for our clients is two-fold: we create the most user-friendly online experience we can, and we make it visible in search engines. Potential customers want a great online experience. That starts with content that’s well-written and worth reading, on a website that’s easy to navigate, loads quickly, and looks good, whether you’re on your computer or your smart phone. Then, using tools like web analytics, keyword data, and social media integration, we take that experience and make sure it ranks well on searches, tweaking our strategy as we go so that it continues to perform. Because you don’t want a quality website that no one can find. Likewise, if you rank well but your site’s content is poor, you won’t sustain your ranking or convert new customers. You really can’t have one without the other. And that’s what we really do. No hacking, no miracles, no baloney – just hard work, great content, and proven strategies.
What an SEO Company Does vs. What People Think We Do
Written by: Content Team Categories - Digital Marketing
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Google Confirms That Page Experience Update Is a Ranking Factor08/06/2021
Google’s John Mueller has offered up some interesting insight into the recent Page Experience Update, revealing that the update, which incorporates core web vitals, is, in fact, a ranking factor and could have more impact than previously thought.
“It is a ranking factor, and it’s more than a tie-breaker, but it also doesn’t replace relevance,” said Mueller on Reddit.
This revelation should come as a bit of a surprise to the SEO community, as Google had previously implied that the Page Experience Update is simply a tie-breaker.
In fact, Google Webmaster Trends Analyst, Gary Illyes, had initially said the Page Experience Update would not be significant, with Mueller adding that it would be a slow rollout that would not be felt very much. Google Public Search Liason, Danny Sullivan, also came out and said that it would not create massive change or have a significant impact when rolled out.
Based on Mueller’s comments this morning, we can now assume that the Page Experience Update lies somewhere between a tie-breaker signal and a very low weight signal.
Here’s Mueller’s full explanation so you can interpret it for yourself:
“Depending on the sites you work on, you might notice it more, or you might notice it less. As an SEO, a part of your role is to take all of the possible optimizations and figure out which ones are worth spending time on. Any SEO tool will spit out 10s or 100s of “recommendations”, most of those are going to be irrelevant to your site’s visibility in search. Finding the items that make sense to work on takes experience.
The other thing to keep in mind with core web vitals is that it’s more than a random ranking factor, it’s also something that affects your site’s usability after it ranks (when people actually visit). If you get more traffic (from other SEO efforts) and your conversion rate is low, that traffic is not going to be as useful as when you have a higher conversion rate (assuming UX/speed affects your conversion rate, which it usually does). CWV is a great way of recognizing and quantifying common user annoyances.”read more
Google Offers Insights Into How It Deals With Spam During Podcast07/07/2021
In a recent podcast, Google’s John Mueller, Gary Illyes, Martin Splitt, and Duy Nguyen from the Google search quality team, discussed Google’s methods for ranking search results and preventing and dealing with spam content.
READ MORE: Google Confirms New “Spam” Algorithm Update
An interesting piece of information provided by Nguyen was that Google uses machine learning models to deal with “obvious” spam.
He explained that Google uses a “very effective and comprehensive machine-learning model that basically took care of most of the obvious spam.” This machine learning model enables the Google search quality team to focus on “more important work,” such as hacked spam, online scams, and other issues that machine learning models may not pick up on.
Google’s machine learning models are also constantly working on improving their spam prevention methods when it comes to search by analyzing years’ worth of data.
Insights into How Google Ranks Search Results
Mueller, Illyes, Splitt, and Nguyen also discussed how search rankings work, diving into Google’s methodology.
Here is a summary of what was discussed:
Google’s first step is to compile a shortlist of around 1,000 results for any given query. Google generates this list based on how topical and relevant the query and the content on a particular page is.
From this list, Google will apply ranking signals and factors to come up with an even shorter list. According to Illyes, this part is where “the magic” happens.
Google then “assigns a number and we calculate that number using the signals that we collected during indexing plus the other signals. And then essentially, what you see in the results is a reverse order based on those numbers that we assigned,” said Illyes.
Algorithms that are most commonly used are RankBrain and the HTTPS boost, however, Illyes explained that HTTPS doesn’t have the capability to rearrange search results.
So, there you have it. Are you at all surprised by these insights or have you always had a feeling that this is how Google does things?read more
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