Connect with us


Core Web Vitals Not Really Your Problem? via @martinibuster



You are not alone if  you’re struggling to improve Core Web Vitals scores and coming up short.  Anecdotal evidence suggests that achieving high Core Web Vitals performance is difficult.  The reason is because publishers and SEO are trying to fix something that technically is not broken.

Paradigm Shift in How Sites are Developed

We are in the beginning stages of a major paradigm shift in how web pages are created. A faster web host is helpful but it won’t fix Core Web Vitals issues.

Core Web Vitals are calculated downstream at the mobile device that is slurping down your web pages on a mobile phone at 3G or 4G speeds. That is where Core Web Vitals data comes from and a fast web server is of little use at that point if the download is being throttled by a poor Internet connection at the phone.

Improving Core Web Vitals is less about web hosting and more about fixing the code.


Continue Reading Below

Fixing What Isn’t Broken

WP Rocket recently redesigned their website using Gutenberg. That was a brave and almost reckless move considering that Gutenberg didn’t have full site editing capabilities at the time.

They had to customize how WordPress handles CSS and JavaScript  in order to improve Google Page Experience Scores.

In other words, in redesigning their website to score well for Core Web Vitals, WP Rocket had to customize WordPress itself, to make it be something it was not designed to be.

Core Web Vitals-Unfriendly

Core Web Vitals standards are not something that WordPress developers have in mind when creating WordPress. That’s why embedding tweets into a post will trigger Cumulative Layout Shift.

WordPress and themes don’t code for Google. They code for the needs of publishers which until May 2020 was not a publisher need.

It’s not just WordPress, either. Most other content management systems don’t have Core Web Vitals best practices built into them.


Continue Reading Below

That doesn’t mean there’s something wrong with WordPress. There is nothing wrong with WordPress because Google says there’s something wrong.

Core Web Vitals is Not a WordPress Problem

Core Web Vitals are a set of metrics independently developed by Google and pushed onto the publisher and SEO community to work with.

WordPress had nothing to do with it. Core Web Vitals appeared in May 2020, apparently without any coordination or consultation with the developer ecosystem.

On the WordPress side, development is moving forward as if Core Web Vitals do not exist.  While on the publisher and SEO side it is the users of WordPress who are burdened with the task of “fixing” WordPress, Drupal, phpBB etc.

In a perfect world, the job of creating a system that addresses the needs of the users lies on the developer side.  But that’s not happening.

WordPress doesn’t even see Core Web Vitals as a WordPress issue.

When someone started a support thread in the WordPress forums about it they were told to ask in Google’s support forum.

“You should ask on a Google forum, as WordPress has nothing to do with this.”

Publisher and SEO Community Burdened with Compliance

WordPress Publishers are stuck trying to make websites conform to a standard that those websites were never designed to comply with.

This is the reason why so many are struggling with Core Web Vitals. Publishers and SEOs are burdened with trying to fix something that ideally should be fixed at the code level.

Improving Core Web Vitals scores can feel like trying to upgrade the performance of a Honda Civic to the standards of a Chevy Corvette.

The developers did not build a Corvette. They built a Honda Civic.

But Google is demanding that drivers (not the manufacturers) improve the performance to a Corvette level. Does that seem fair to you?

Is it reasonable to ask the users of a software to improve it rather than the developers of the software?

The problem of software compliance with Core Web Vitals exists at the code level, not at the user level.


Continue Reading Below

So why are publishers and the SEO community burdened with fixing something that they are only users of?

Is Google Helpful?

Google provides a lot of tools for diagnosing the problems and offers in depth articles explaining how to fix those coding problems.

But these are coding problems not user problems.

An example of the disconnect between the development community and Google is the the problem of Cumulative Layout Shift, where the web page shifts and rearranges itself as the page elements are downloaded.

A common reason for Cumulative Layout Shift is that images do not have a height and width sizes declared. Google recommends exotic workarounds like using CSS to style the images using aspect ratio boxes.

The average publisher and SEO is probably not going to understand what aspect ratio boxes are and how to calculate the ratios sitewide in a way that doesn’t break the website.

Take a look at this and description of aspect ratio boxes that Google links and see if it makes sense to you:


Continue Reading Below

“Perfect squares and 16:9 stuff is great, but the values used for those are just simple math. An aspect ratio can be anything, and they commonly are completely arbitrary. A video or image can be cropped to any size.

So how do we figure out the padding-top for our 1127.34 × 591.44 SVG above?

One way is using calc(), like this:

padding-top: calc(591.44 / 1127.34 * 100%);”

Goodness gracious!

Here’s another example. Many web templates routinely set image widths via CSS to be automatic (width: auto;) without setting height and width of images in order to make images like a logo scale in size to fit into a template regardless if it’s viewed on a mobile or a desktop device. That’s a common coding practice that causes Cumulative Layout Shift.

These are the reasons why WP Rocket had to dig in and make changes to the CSS and JavaScript sitewide.

For example, WordPress Gutenberg loads up all the CSS that exists, regardless of whether it is needed or not. So WP Rocket’s developer had to hand code a solution for that.


Continue Reading Below

This is how WP Rocket explained what they did as part of their redesign:

“…we deprecated several blocks that were not used. We created a custom enqueue system to have CSS & JS loaded block only when needed. It took us just a few minutes to develop this system.

We also decided not to use the Gutenberg CSS file. Instead, we “migrated” the CSS we actually needed into our own style sheet, into a dedicated CSS file. That did the trick.”

A Rethink of How Sites are Created

It’s important to understand the Core Web Vitals problem. Google is demanding that publishers and SEOs bolt on solutions that the CMS development community do not show an interest in addressing.

Here’s an example of the kinds of compromises we are faced with and how Google is changing how we develop websites.

Let’s talk about fonts.

Render blocking third party resources can negatively impact Largest Contentful Paint. A common bottleneck is downloading fonts from a third party site like Google Fonts.


Continue Reading Below

There are a number of tricks to apply that are combination of using the preload link attribute and maybe some JavaScript, etc. that makes the process of downloading third party fonts Core Web Vitals friendly.

But would it kill your site to leave that fancy font behind?

A simple solution that will help score better is to switch the website font to a sans serif font that Apple, Windows and Android devices already have loaded up in their system.

Switching to an attractive font that is built into the device means that the site no longer has to wait to download a fancy font.

One approach can be something like this:

font-family: Helvetica, Tahoma, sans-serif;

If Android doesn’t have Helvetica or Tahoma already loaded in the browser then the device will display the site using the Roboto font.

Screenshot of Example of Roboto Font

Screenshot of the Roboto font

Screenshot of the Roboto font

For people accustomed to using fancy fonts, using system fonts might seem extreme. But it’s an example of the kinds of compromises a web publisher may need to make, particularly publishers that are in highly competitive niches.


Continue Reading Below

This kind of decision is a no-brainer for an affiliate site focused on page speed and conversions.

A Moment of Transition

What is happening today is that we are living in a moment of transition. Things are changing from how we did things in the past to how developers are going to do things (out of the box) in the future.

Developers responded to the demand for mobile friendly sites. In time they may begin responding to the demand for sites that score well for Core Web Vitals.

The way CMS systems, templates and plugins are designed have not caught up to the needs of publishers who require consideration of  Core Web Vitals.

For the time being, tech SEOs and the developer community is stuck having to “fix” what isn’t  broken in order to make it abide to Google’s idea of what the web should look like.

Of course, a page that loads fast and doesn’t shift around is a good thing. But requiring the users of a software to improve the software itself is a burden.


Continue Reading Below

At this point in time the burden of fixing the code falls on the users of the publishing software and not on the developers of that software. Does that feel right?

What may happen is that some may find it useful to fix as much as they can and leave the rest for when WordPress and other CMS software catches up.


Google December 2021 Product Review Update via @sejournal, @martinibuster



Google announced an English language product review update is rolling out today, Wednesday December 1, 2021. Product review pages that have made improvements since the last product review update may see them reflected in the new update.

The update is called the December 201 Product Review Update and will take three weeks to fully roll out.

This update is preceded by a Spam Update in early November and a Core Algorithm Update that finished rolling out at the end of November.

While some may feel it ill-timed or mean for Google to roll out updates during the busiest shopping season, so far these updates have not been especially disruptive.


Continue Reading Below

Yet it would be most unfortunate if legitimate product review sites unintentionally lost rankings during this critical time of the year.

A tweet from Google Search Central announced:

“Our December 2021 product reviews update is now rolling out for English-language pages. It will take about three weeks to complete.”

Google Developer Advocate Alan Kent tweeted:

“It is one of many ranking signals, but certainly the goal is to reward authentic high quality reviews. The docs page lists our recommendations for good reviews.”

Alan tweeted clarification of what kinds of sites will be affected by the product reviews update:

“Mainly relevant to sites that post articles reviewing products. Think of sites like “best TVs under $200″.com. Goal is to improve the quality and usefulness of reviews we show users.”


Continue Reading Below

The response on Twitter generally took the announcement in stride:

Product Review Page Ranking Assessment

Google’s announcement makes reference to an “automated assessment” that is specific to product reviews. It also notes that product review pages will also be ranked by the other ranking factors common to other web pages.

“…note that our automated assessment of product review content is only one of many factors used in ranking content, so changes can happen at any time for various reasons.”

New Product Review Best Practices

Google also gave an advanced warning that they will be introducing two new product review requirements that are clearly aimed at fake product reviews.

The first requirement is that a product review provide on-page evidence that a product has actually been handled and reviewed.

Many low quality reviews are clearly affiliate sites posting bogus reviews that are closer to rewritten versions of the product specifications.

The second requirement is that product reviews offer multiple buying options.


Continue Reading Below

Google’s product review update stated:

“Users have told us that they trust reviews with evidence of products actually being tested, and prefer to have more options to purchase the product.

Provide evidence such as visuals, audio, or other links of your own experience with the product, to support your expertise and reinforce the authenticity of your review.

Include links to multiple sellers to give the reader the option to purchase from their merchant of choice.”

Google didn’t call these best practices ranking factors but does say that these “best practices” will be folded into a future product reviews update.


Continue Reading Below

So these two best practices can probably be considered ranking factors.

The new documentation is called, Write high quality product reviews.

The best practices page highlights requirements that seem designed to promote actual reviews and eliminate fake reviews.

Here is a sample:

  • Share quantitative measurements about how a product measures up in various categories of performance.
  • Describe how a product has evolved from previous models or releases to provide improvements, address issues, or otherwise help users in making a purchase decision.
  • Describe key choices in how a product has been designed and their effect on the users beyond what the manufacturer says.
  • Include links to other useful resources (your own or from other sites) to help a reader make a decision.


Continue Reading Below

Promoting Quality Product Reviews

Many products are expensive to review, such as kayaks, which is why there are so many fake reviews that do not feature original images of the products because no kayak was actually reviewed.

One has to wonder if these new requirements could backfire by causing fake review sites to respond by adding fake hands-on assessment content and images.


Announcement of Product Review Update

Product reviews update and your site

Read Google’s Product Reviews Best Practices

Write high quality product reviews

Continue Reading


Google’s New Pathways AI Is Closer to Mammalian Brain via @sejournal, @martinibuster



Google announced a new AI architecture that powerfully expands Google’s AI computing ability in a profound way. The new AI architecture is is a single model that can be trained to do millions of things, which Google says is closer to a mammalian brain.

Google Pathways AI

The announcement by Google states that the current state of AI is to train a machine to do one thing very well, like to recognize images or understand the sound of an animal.

So in order to understand sight and sound it would take two different AI models to accomplish the two tasks.


Continue Reading Below

The new AI architecture takes a different path by training it to generalize by learning skills that can be applied across different tasks.

Google explains how it works:

“…we’d like to train one model that can not only handle many separate tasks, but also draw upon and combine its existing skills to learn new tasks faster and more effectively.

That way what a model learns by training on one task – say, learning how aerial images can predict the elevation of a landscape – could help it learn another task — say, predicting how flood waters will flow through that terrain.

We want a model to have different capabilities that can be called upon as needed, and stitched together to perform new, more complex tasks – a bit closer to the way the mammalian brain generalizes across tasks.”


Continue Reading Below

An AI That Can Train For Multiple Senses

Current AI models train for single senses, like sight or hearing but not both. Google states that such a model will be able to understand a concept in all the relevant senses together.

With Pathways Google can understand text, images and speech together in a single AI model.

Pathways Works Like The Human Brain

The human brain only uses a small amount of its processing power to complete tasks, using the specialized parts and not the entire brain network.

Google’s new Pathways AI will accomplish tasks in a similar way, which will make more energy efficient, be able to learn more and do it all faster than older models.

“There are close to a hundred billion neurons in your brain, but you rely on a small fraction of them to interpret this sentence.

AI can work the same way.

We can build a single model that is “sparsely” activated, which means only small pathways through the network are called into action as needed.”

Pathways AI Will Solve Multiple Problems

The purpose of Pathways is bigger than search. Google says that it can be adapted to solving many problems, including problems that we haven’t yet faced.

“…we’re crafting the kind of next-generation AI system that can quickly adapt to new needs and solve new problems all around the world as they arise, helping humanity make the most of the future ahead of us.”


Continue Reading Below

Google Pathways AI Architecture

Google’s blog post does not say if Pathways has been activated in any system yet. The announcement says that Google has the ability now to create these systems and that they will build them.

Google also states that they have teams that are working on designing the “next-generation” AI architecture.

Google explicitly says they are “crafting” this new AI architecture:

“That’s why we’re building Pathways. Pathways will enable a single AI system to generalize across thousands or millions of tasks, to understand different types of data, and to do so with remarkable efficiency…”


Continue Reading Below

Google has been publishing research papers on machine learning technologies that can learn to generalize, one of which is called FLAN.

FLAN can train a machine to learn how to complete a task and apply what it learned to other tasks, very much like what is described in the article about Pathways.

This new Pathways AI architecture may be very close to realization if it’s not already here in some form.


Read Google’s Announcement Of A New AI Architecture

Introducing Pathways: A next-generation AI architecture

Read About New Google Research Paper About FLAN

Google Research Develops Better Machine Learning


Continue Reading Below

Continue Reading


Google November Core Update Is Over – What Happened? via @sejournal, @martinibuster



It’s official, Google’s November core algorithm update is over today on Tuesday, November 30, 2021, the day after the popular Cyber Monday shopping day. Sites that experienced an up or downward shift in rankings should not expect additional changes to their status until the next algorithm update.

Google announced the end of the core update rollout on Twitter:

“The November 2021 Core Update is now rolling out live. As is typical with these updates, it will typically take about one to two weeks to fully roll out.”

It’s possible that changes in traffic around the time of the algorithm might not be related to the update. Coincidences do happen but it’s a slim hope.

The changes seen today can be said to be permanent and until the next update there should only be the daily up and down in rankings that are characteristic of a constantly updated search index.

Unlike in the past where the search index remained fixed for a month at a time, today’s search engine is more dynamic and responsive to links and content.


Continue Reading Below

What doesn’t change is the underlying processes themselves.

Read more: Google Update Slapped Your Rankings: What’s Next

What Was The November Update?

Search Community Shares Insights

Many search marketers agreed that the November core algorithm update did not have the disruptive impact of a major update.

Japan-based SEO Kenichi Suzuki (@suzukik)

Kenichi Suzuki, a respected Japanese search marketer offered his observations of the impact to the Google search results in Japan.

Kenichi shared:

“The November 2021 Core Update seems to have made much less impact on rankings, compared with other core updates.

The ranking changes are not that different than daily fluctuations.

That said, we’ve seen Google look at who (author/company) publishes the content more carefully.”

Jason Barnard (@jasonmbarnard)

Jason Barnard noticed wild fluctuations in Google’s Knowledge Graph on November 16th, the day before the update:


Continue Reading Below

Is that related to the update that would be released on the following day?

Nobody knows for certain but it’s an interesting sideshow accompanying the main event.

Jason offered his thoughts on what happened in the Knowledge Graph:

“Here we had Google announce a core update on the 17th of November and the knowledge graph went crazy beginning the day before.

There was also a “deepening” of the Knowledge Graph that same day (ie queries returned 6% more results on average…).

That number had not changed for at least 2 years. So that 6% is big news.”

Ammon Johns (@Ammon_Johns)

I asked widely respected search marketer, Ammon Johns, about the update.

Ammon shared:

“There’s no single unifying theme (yet), no suddenly recurring problem or symptom surfacing in the various SEO groups.

Only the ongoing mass of issues many smaller site owners had in the weeks running up to the update where crawling was reduced, and sites with lower crawl priorities found they couldn’t get their new content indexed.”

Ammon is referencing the growing concern in the worldwide search marketing community about how Google seems to be indexing less content.

That’s something that began peaking in October 2021 and continues to be a source of anxiety for many publishers.

Steven Kang (@SEOSignalsLab)

Steven Kang is the administrator of the wildly popular SEO Signals Lab Facebook community. His community has thousands of members and countless discussions every day. If anyone has the pulse of the search community on social media, it’s Steven Kang.

Here is what Steve observed about the core update:

“I’m seeing mixed results. Some went up and some down. I’m not seeing the seismic difference…”

Jim Boykin (@jimboykin) – Founder of Internet Marketing Ninjas

Jim Boykin has been in SEO for over twenty years and one thing I have observed about Jim is that he’s open minded to changes and is quick to adapt, which to me makes his opinions matter all the more.


Continue Reading Below

These are Jim’s observations on Google’s November update:

“We had 12 clients that had really nice ranking/traffic improvements, and about 25 clients that didn’t see much either way, and we had 7 clients that saw a bit of a drop. About 5 of the 7 that dropped fell 1-3 ranking positions lower. Two of those seven had bigger drops.

Overall, this is just another algo update… there will always be winners and losers each time… I just try to keep making the sites better and stress doing that to those who were negatively effected.”

Bill Hartzer (@bhartzer)

Bill Hartzer, another search marketer with over twenty years of experience concurred with the observation that this update had a small impact.

Bill observed:

“I feel as if it’s been a low impact update.”

Was The Update Partly An Infrastructure Update?

This update is generally agreed by many in the search industry to have been a relatively mild one. That in itself is very interesting because it could suggest a shift in the underlying algorithm architecture where it still does the same thing, relatively, but it does it more efficiently and faster.


Continue Reading Below

The core algorithm update was preceded by a spam update which presumably cleared the table of negative influences to the search index, to make the search index more pure and less spam.

FLAN Machine Learning Research Paper

It’s especially interesting because Google AI has published research on new machine learning models that do not specialize at doing many things really well, which is a change from previous models that did one thing really well and required an army of multiple models to do all these different things.

One such model is called FLAN that was introduced as a research paper in October. What FLAN does is focuses the natural language training on solving different kinds tasks and then generalizing the method so that it can apply to a wide variety of tasks.

Read More: FLAN: Google Research Develops Better Machine Learning

Google Introduced Pathways, A New AI Architecture

The November core algorithm update began on November 17, 2021 and finished nearly two weeks later on November 30th.


Continue Reading Below

If Google were to introduce a new more efficient way to accomplish the same thing it was already doing, then that might require clearing the board of spam with a spam update and then introducing the new algorithm architecture slowly across the entire system.

Perhaps not coincidentally, around the same time as the FLAN research was published Google officially announced a new AI Architecture called Pathways that seems to do many of things that FLAN claims to improve on.

The Google Pathways announcement states:

“Too often, machine learning systems overspecialize at individual tasks, when they could excel at many.

That’s why we’re building Pathways—a new AI architecture that will handle many tasks at once, learn new tasks quickly and reflect a better understanding of the world.

….Today’s AI models are typically trained to do only one thing.

Pathways will enable us to train a single model to do thousands or millions of things.”

One thing to note is that the Pathways article, published in October 2021, refers to things they are going to build, not to things that they have already introduced.


Continue Reading Below

So it’s entirely possible that Pathways was not introduced in the mid-November 2021 core algorithm update.

Ammon Johns Is Reminded of Hummingbird Update

Ammon Johns remarked that the November 2021 core algorithm update felt like an infrastructure update.

Ammon shared his thoughts:

“I’m reminded a bit of the Hummingbird Update, where it had actually been live for a couple of months or something like that before the news broke, and nobody had noticed.”

I agree with Ammon. In general terms, the November 2021 update had a relatively gentle impact on the search results.

And that is what makes it feel like an infrastructure related update that makes Google’s algorithms more efficient.

Google November 2021 Core Update Takeaways

I think most people would agree that Google’s core update was somewhat odd.

  • Kenichi Suzuki, the search marketer in Japan, feels that Google was focusing a little more on authorship signals.
  • Jason Barnard noticed extreme volatility in the Knowledge Graph, sharing that Google was returning 6% more knowledge graph-based results. Jason says a 6% increase is huge and a scale he’s never seen before.
  • Ammon Johns feels, like I do, that the quiet nature of this update might indicate that Google made more infrastructure-related changes.
  • Social media has been relatively quiet this update, suggesting that whatever impact it had was not widely felt  in the way that a major update would feel.
  • Lastly, Google published an article and a research paper that both signal improvements to Google’s algorithms that can dramatically speed up current question answering tasks and in the future greatly increase Google’s ability to answer more complex questions.

Continue Reading