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Path To Next Generation Search

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Path To Next Generation Search

Google announced a breakthrough in the effort to create an AI architecture that can handle millions of different tasks, including complex learning and reasoning. The new system is called the Pathways Language Model, referred to as PaLM.

PaLM is able to outperform the current state of the current AI state of the art as well as beat humans in the language and reasoning tests.

But the researchers also point out that they cannot shake the limitations inherent in large-scale languages models that can unintentionally result in negative ethical outcomes.

Background Information

The next few sections are background information that clarify what this algorithm is about.

Few-Shot Learning

Few-shot learning is the next stage of learning that is moving beyond deep learning.

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Google Brain researcher, Hugo Larochelle (@hugo_larochelle) said in a presentation titled, Generalizing from Few Examples with Meta-Learning (video) explained that with deep learning, the problem is that they had to collect a vast amount of data that required significant amount of human labor.

He pointed out that deep learning will likely not be the path toward an AI that can solve many tasks because with deep learning, each task requires millions of examples from which to learn from for each ability that an AI learns.

Larochelle explains:

“…the idea is that we will try to attack this problem very directly, this problem of few-shot learning, which is this problem of generalizing from little amounts of data.

…the main idea in what I’ll present is that instead of trying to define what that learning algorithm is by N and use our intuition as to what is the right algorithm for doing few-shot learning, but actually try to learn that algorithm in an end-to-end way.

And that’s why we call it learning to learn or I like to call it, meta learning.”

The goal with the few-shot approach is to approximate how humans learn different things and can apply the different bits of knowledge together in order to solve new problems that have never before been encountered.

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The advantage then is a machine that can leverage all of the knowledge that it has to solve new problems.

In the case of PaLM, an example of this capability is its ability to explain a joke that it has never encountered before.

Pathways AI

In October 2021 Google published an article laying out the goals for a new AI architecture called Pathways.

Pathways represented a new chapter in the ongoing progress in developing AI systems.

The usual approach was to create algorithms that were trained to do specific things very well.

The Pathways approach is to create a single AI model that can solve all of the problems by learning how to solve them, in that way avoiding the less efficient way of training thousands of algorithms to complete thousands of different tasks.

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According to the Pathways document:

“Instead, 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.”

Pathways defined Google’s path forward for taking AI to the next level to close the gap between machine learning and human learning.

Google’s newest model, called Pathways Language Model (PaLM), is this next step and according to this new research paper, PaLM represents a significant progress in the field of AI.

What Makes Google PaLM Notable

PaLM scales the few-shot learning process.

According to the research paper:

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“Large language models have been shown to achieve remarkable performance across a variety of natural language tasks using few-shot learning, which drastically reduces the number of task-specific training examples needed to adapt the model to a particular application.

To further our understanding of the impact of scale on few-shot learning, we trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model (PaLM).”

There are many research papers published that describe algorithms that don’t perform better than the current state of the art or only achieve an incremental improvement.

That’s not the case with PaLM. The researchers claim significant improvements over the current best models and even outperforms human benchmarks.

That level of success is what makes this new algorithm notable.

The researchers write:

“We demonstrate continued benefits of scaling by achieving state-ofthe-art few-shot learning results on hundreds of language understanding and generation benchmarks.

On a number of these tasks, PaLM 540B achieves breakthrough performance, outperforming the fine tuned state of-the-art on a suite of multi-step reasoning tasks, and outperforming average human performance on the recently released BIG-bench benchmark.

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A significant number of BIG-bench tasks showed discontinuous improvements from model scale, meaning that performance steeply increased as we scaled to our largest model.”

PaLM outperforms the state of the art in English natural language processing tasks and that makes PaLM important and notable.

On a collaborative benchmark called BIG-bench consisting of over 150 tasks (related to reasoning, translation, question answering), PaLM outperformed the state of the art but there were areas where it did not do as well.

Worthy of noting is that human performance outscored PaLM on 35% of the tasks, particularly mathematical related tasks (See section 6.2 BIG-bench of the research paper, page 17).

PaLM was better at translating another language into English than translating English to other languages. The researchers stated that this is a common problem that could be solved by prioritizing more multilingual data.

Nevertheless, PaLM pretty much outperformed other language models and humans across the board.

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Ability to Reason

Of particular note was it’s performance with arithmetic and commonsense reasoning tasks.

Example of an arithmetic task:

Question:
Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?

Answer:
The answer is 11.

Example of commonsense reasoning:

Question:
Sean was in a rush to get home, but the light turned yellow and he was forced to do what?
Answer Choices: (a) take time (b) dawdle (c) go slowly (d) ocean (e) slow down

Answer:
The answer is (e) slow down.

Generating Explanations

Another extraordinary example of how advanced PaLM is in tests of generating explanations.

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Here’s how the research paper explains it:

“The goal of this section is to showcase the capabilities of PaLM with regards to explanatory language generation, for prompts that require a complex combination of logical inference chaining, world knowledge, abstract language understanding, and lexicographic language understanding (e.g., puns).”

Explanations of Jokes

Here is an example of the language model explaining a joke:

Joke:
I was going to fly to visit my family on April 6th. My mom said “Oh great, your step dad’s poetry reading is that night!”

So now I’m flying in on April 7th.

Model Explanation:
The joke is that the speaker’s mother is trying to get them to go to their step dad’s poetry reading, but the speaker doesn’t want to go, so they are changing their flight to the day after the poetry reading.

Inference Chaining

Here’s an example of inference chaining, where multiple concepts and entities need to be correctly joined and considered to create an answer.

Input:
Guido was writing a Python program. He keeps getting confused by variable scope and looking it up on StackOverflow.

Is it possible that the Guido in the prompt refers to Guido van Rossum?

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Model Output:
Guido van Rossum is the creator of Python. He would not need to look up variable scope on StackOverflow. The answer is “no”.”

Here is one more example:

Input:
Jennifer looked out her window and sees a really cool cloud below her. She unbuckles her seatbelt and heads to the bathroom. Is Jennifer probably traveling more than 300 miles per hour relative to the earth?

Model Output:
300 miles per hour is about 480 km/h. This is about the speed of a commercial airplane. Clouds are usually below airplanes, so Jennifer is probably on an airplane.

The answer is “yes”.”

Next Generation Search Engine?

The above example of the ability of PaLM for complex reasoning demonstrates how a next generation search engine may be able to answer complex answers utilizing knowledge from the Internet and other sources.

Achieving an AI architecture that can produce answers that reflect the world around us is one of the stated goals of Google Pathways and PaLM is a step in that direction.

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However, the authors of the research emphasized that PaLM is not the final word on AI and search. They were explicit in stating that PaLM is a first step toward the next kind of search engine that Pathways envisions.

Before we proceed further, there are two words, jargon so to speak, that are important to understand in order to get what PaLM is about.

  • Modalities
  • Generalization

The word “modalities” is a reference to how things are experienced or the state in which they exist, like text that is read, images that are seen, things that are listened to.

The word “generalization” in the context of machine learning is about the ability of a language model to solve tasks that it hasn’t previously been trained on.

The researchers noted:

“PaLM is only the first step in our vision towards establishing Pathways as the future of ML scaling at Google and beyond.

We believe that PaLM demonstrates a strong foundation in our ultimate goal of developing a large-scale, modularized system that will have broad generalization capabilities across multiple modalities.”

Real-World Risks and Ethical Considerations

Something different about this research paper is that the researchers warn about ethical considerations.

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They state that large-scale language models trained on web data absorb many of the “toxic” stereotypes and social disparities that are spread on the web and they state that PaLM is not resistant to those unwanted influences.

The research paper cites a research paper from 2021 that explores how large-scale language models can promote the following harm:

  1. Discrimination, Exclusion and Toxicity
  2. Information Hazards
  3. Misinformation Harms
  4. Malicious Uses
  5. Human-Computer Interaction Harms
  6. Automation, Access, and Environmental Harms

Lastly, the researchers noted that PaLM does indeed reflect toxic social stereotypes and makes clear that filtering out these biases are challenging.

The PaLM researchers explain:

“Our analysis reveals that our training data, and consequently PaLM, do reflect various social stereotypes and toxicity associations around identity terms.

Removing these associations, however, is non-trivial… Future work should look into effectively tackling such undesirable biases in data, and their influence on model behavior.

Meanwhile, any real-world use of PaLM for downstream tasks should perform further contextualized fairness evaluations to assess the potential harms and introduce appropriate mitigation and protections.”

PaLM can be viewed as a peek into what the next generation of search will look like. PaLM makes extraordinary claims to besting the state of the art but the researchers also state that there is still more work to do, including finding a way to mitigate the harmful spread of misinformation, toxic stereotypes and other unwanted results.

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Citation

Read Google’s AI Blog Article About PaLM

Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance

Read the Google Research Paper on PaLM

PaLM: Scaling Language Modeling with Pathways (PDF)




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2024 WordPress Vulnerability Report Shows Errors Sites Keep Making

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2024 Annual WordPress security report by WPScan

WordPress security scanner WPScan’s 2024 WordPress vulnerability report calls attention to WordPress vulnerability trends and suggests the kinds of things website publishers (and SEOs) should be looking out for.

Some of the key findings from the report were that just over 20% of vulnerabilities were rated as high or critical level threats, with medium severity threats, at 67% of reported vulnerabilities, making up the majority. Many regard medium level vulnerabilities as if they are low-level threats and that’s a mistake because they’re not low level and should be regarded as deserving attention.

The WPScan report advised:

“While severity doesn’t translate directly to the risk of exploitation, it’s an important guideline for website owners to make an educated decision about when to disable or update the extension.”

WordPress Vulnerability Severity Distribution

Critical level vulnerabilities, the highest level of threat, represented only 2.38% of vulnerabilities, which is essentially good news for WordPress publishers. Yet as mentioned earlier, when combined with the percentages of high level threats (17.68%) the number or concerning vulnerabilities rises to almost 20%.

Here are the percentages by severity ratings:

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  • Critical 2.38%
  • Low 12.83%
  • High 17.68%
  • Medium 67.12%

Authenticated Versus Unauthenticated

Authenticated vulnerabilities are those that require an attacker to first attain user credentials and their accompanying permission levels in order to exploit a particular vulnerability. Exploits that require subscriber-level authentication are the most exploitable of the authenticated exploits and those that require administrator level access present the least risk (although not always a low risk for a variety of reasons).

Unauthenticated attacks are generally the easiest to exploit because anyone can launch an attack without having to first acquire a user credential.

The WPScan vulnerability report found that about 22% of reported vulnerabilities required subscriber level or no authentication at all, representing the most exploitable vulnerabilities. On the other end of the scale of the exploitability are vulnerabilities requiring admin permission levels representing a total of 30.71% of reported vulnerabilities.

Permission Levels Required For Exploits

Vulnerabilities requiring administrator level credentials represented the highest percentage of exploits, followed by Cross Site Request Forgery (CSRF) with 24.74% of vulnerabilities. This is interesting because CSRF is an attack that uses social engineering to get a victim to click a link from which the user’s permission levels are acquired. This is a mistake that WordPress publishers should be aware of because all it takes is for an admin level user to follow a link which then enables the hacker to assume admin level privileges to the WordPress website.

The following is the percentages of exploits ordered by roles necessary to launch an attack.

Ascending Order Of User Roles For Vulnerabilities

  • Author 2.19%
  • Subscriber 10.4%
  • Unauthenticated 12.35%
  • Contributor 19.62%
  • CSRF 24.74%
  • Admin 30.71%

Most Common Vulnerability Types Requiring Minimal Authentication

Broken Access Control in the context of WordPress refers to a security failure that can allow an attacker without necessary permission credentials to gain access to higher credential permissions.

In the section of the report that looks at the occurrences and vulnerabilities underlying unauthenticated or subscriber level vulnerabilities reported (Occurrence vs Vulnerability on Unauthenticated or Subscriber+ reports), WPScan breaks down the percentages for each vulnerability type that is most common for exploits that are the easiest to launch (because they require minimal to no user credential authentication).

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The WPScan threat report noted that Broken Access Control represents a whopping 84.99% followed by SQL injection (20.64%).

The Open Worldwide Application Security Project (OWASP) defines Broken Access Control as:

“Access control, sometimes called authorization, is how a web application grants access to content and functions to some users and not others. These checks are performed after authentication, and govern what ‘authorized’ users are allowed to do.

Access control sounds like a simple problem but is insidiously difficult to implement correctly. A web application’s access control model is closely tied to the content and functions that the site provides. In addition, the users may fall into a number of groups or roles with different abilities or privileges.”

SQL injection, at 20.64% represents the second most prevalent type of vulnerability, which WPScan referred to as both “high severity and risk” in the context of vulnerabilities requiring minimal authentication levels because attackers can access and/or tamper with the database which is the heart of every WordPress website.

These are the percentages:

  • Broken Access Control 84.99%
  • SQL Injection 20.64%
  • Cross-Site Scripting 9.4%
  • Unauthenticated Arbitrary File Upload 5.28%
  • Sensitive Data Disclosure 4.59%
  • Insecure Direct Object Reference (IDOR) 3.67%
  • Remote Code Execution 2.52%
  • Other 14.45%

Vulnerabilities In The WordPress Core Itself

The overwhelming majority of vulnerability issues were reported in third-party plugins and themes. However, there were in 2023 a total of 13 vulnerabilities reported in the WordPress core itself. Out of the thirteen vulnerabilities only one of them was rated as a high severity threat, which is the second highest level, with Critical being the highest level vulnerability threat, a rating scoring system maintained by the Common Vulnerability Scoring System (CVSS).

The WordPress core platform itself is held to the highest standards and benefits from a worldwide community that is vigilant in discovering and patching vulnerabilities.

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Website Security Should Be Considered As Technical SEO

Site audits don’t normally cover website security but in my opinion every responsible audit should at least talk about security headers. As I’ve been saying for years, website security quickly becomes an SEO issue once a website’s ranking start disappearing from the search engine results pages (SERPs) due to being compromised by a vulnerability. That’s why it’s critical to be proactive about website security.

According to the WPScan report, the main point of entry for hacked websites were leaked credentials and weak passwords. Ensuring strong password standards plus two-factor authentication is an important part of every website’s security stance.

Using security headers is another way to help protect against Cross-Site Scripting and other kinds of vulnerabilities.

Lastly, a WordPress firewall and website hardening are also useful proactive approaches to website security. I once added a forum to a brand new website I created and it was immediately under attack within minutes. Believe it or not, virtually every website worldwide is under attack 24 hours a day by bots scanning for vulnerabilities.

Read the WPScan Report:

WPScan 2024 Website Threat Report

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An In-Depth Guide And Best Practices For Mobile SEO

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Mobile SEO: An In-Depth Guide And Best Practices

Over the years, search engines have encouraged businesses to improve mobile experience on their websites. More than 60% of web traffic comes from mobile, and in some cases based on the industry, mobile traffic can reach up to 90%.

Since Google has completed its switch to mobile-first indexing, the question is no longer “if” your website should be optimized for mobile, but how well it is adapted to meet these criteria. A new challenge has emerged for SEO professionals with the introduction of Interaction to Next Paint (INP), which replaced First Input Delay (FID) starting March, 12 2024.

Thus, understanding mobile SEO’s latest advancements, especially with the shift to INP, is crucial. This guide offers practical steps to optimize your site effectively for today’s mobile-focused SEO requirements.

What Is Mobile SEO And Why Is It Important?

The goal of mobile SEO is to optimize your website to attain better visibility in search engine results specifically tailored for mobile devices.

This form of SEO not only aims to boost search engine rankings, but also prioritizes enhancing mobile user experience through both content and technology.

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While, in many ways, mobile SEO and traditional SEO share similar practices, additional steps related to site rendering and content are required to meet the needs of mobile users and the speed requirements of mobile devices.

Does this need to be a priority for your website? How urgent is it?

Consider this: 58% of the world’s web traffic comes from mobile devices.

If you aren’t focused on mobile users, there is a good chance you’re missing out on a tremendous amount of traffic.

Mobile-First Indexing

Additionally, as of 2023, Google has switched its crawlers to a mobile-first indexing priority.

This means that the mobile experience of your site is critical to maintaining efficient indexing, which is the step before ranking algorithms come into play.

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Read more: Where We Are Today With Google’s Mobile-First Index

How Much Of Your Traffic Is From Mobile?

How much traffic potential you have with mobile users can depend on various factors, including your industry (B2B sites might attract primarily desktop users, for example) and the search intent your content addresses (users might prefer desktop for larger purchases, for example).

Regardless of where your industry and the search intent of your users might be, the future will demand that you optimize your site experience for mobile devices.

How can you assess your current mix of mobile vs. desktop users?

An easy way to see what percentage of your users is on mobile is to go into Google Analytics 4.

  • Click Reports in the left column.
  • Click on the Insights icon on the right side of the screen.
  • Scroll down to Suggested Questions and click on it.
  • Click on Technology.
  • Click on Top Device model by Users.
  • Then click on Top Device category by Users under Related Results.
  • The breakdown of Top Device category will match the date range selected at the top of GA4.
Screenshot from GA4, March 2024

You can also set up a report in Looker Studio.

  • Add your site to the Data source.
  • Add Device category to the Dimension field.
  • Add 30-day active users to the Metric field.
  • Click on Chart to select the view that works best for you.
A screen capture from Looker Studio showing a pie chart with a breakdown of mobile, desktop, tablet, and Smart TV users for a siteScreenshot from Looker Studio, March 2024

You can add more Dimensions to really dig into the data to see which pages attract which type of users, what the mobile-to-desktop mix is by country, which search engines send the most mobile users, and so much more.

Read more: Why Mobile And Desktop Rankings Are Different

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How To Check If Your Site Is Mobile-Friendly

Now that you know how to build a report on mobile and desktop usage, you need to figure out if your site is optimized for mobile traffic.

While Google removed the mobile-friendly testing tool from Google Search Console in December 2023, there are still a number of useful tools for evaluating your site for mobile users.

Bing still has a mobile-friendly testing tool that will tell you the following:

  • Viewport is configured correctly.
  • Page content fits device width.
  • Text on the page is readable.
  • Links and tap targets are sufficiently large and touch-friendly.
  • Any other issues detected.

Google’s Lighthouse Chrome extension provides you with an evaluation of your site’s performance across several factors, including load times, accessibility, and SEO.

To use, install the Lighthouse Chrome extension.

  • Go to your website in your browser.
  • Click on the orange lighthouse icon in your browser’s address bar.
  • Click Generate Report.
  • A new tab will open and display your scores once the evaluation is complete.
An image showing the Lighthouse Scores for a website.Screenshot from Lighthouse, March 2024

You can also use the Lighthouse report in Developer Tools in Chrome.

  • Simply click on the three dots next to the address bar.
  • Select “More Tools.”
  • Select Developer Tools.
  • Click on the Lighthouse tab.
  • Choose “Mobile” and click the “Analyze page load” button.
An image showing how to get to Lighthouse within Google Chrome Developer Tools.Screenshot from Lighthouse, March 2024

Another option that Google offers is the PageSpeed Insights (PSI) tool. Simply add your URL into the field and click Analyze.

PSI will integrate any Core Web Vitals scores into the resulting view so you can see what your users are experiencing when they come to your site.

An image showing the PageSpeed Insights scores for a website.Screenshot from PageSpeed Insights, March 2024

Other tools, like WebPageTest.org, will graphically display the processes and load times for everything it takes to display your webpages.

With this information, you can see which processes block the loading of your pages, which ones take the longest to load, and how this affects your overall page load times.

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You can also emulate the mobile experience by using Developer Tools in Chrome, which allows you to switch back and forth between a desktop and mobile experience.

An image showing how to change the device emulation for a site within Google Chrome Developer ToolsScreenshot from Google Chrome Developer Tools, March 2024

Lastly, use your own mobile device to load and navigate your website:

  • Does it take forever to load?
  • Are you able to navigate your site to find the most important information?
  • Is it easy to add something to cart?
  • Can you read the text?

Read more: Google PageSpeed Insights Reports: A Technical Guide

How To Optimize Your Site Mobile-First

With all these tools, keep an eye on the Performance and Accessibility scores, as these directly affect mobile users.

Expand each section within the PageSpeed Insights report to see what elements are affecting your score.

These sections can give your developers their marching orders for optimizing the mobile experience.

While mobile speeds for cellular networks have steadily improved around the world (the average speed in the U.S. has jumped to 27.06 Mbps from 11.14 Mbps in just eight years), speed and usability for mobile users are at a premium.

Read more: Top 7 SEO Benefits Of Responsive Web Design

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Best Practices For Mobile Optimization

Unlike traditional SEO, which can focus heavily on ensuring that you are using the language of your users as it relates to the intersection of your products/services and their needs, optimizing for mobile SEO can seem very technical SEO-heavy.

While you still need to be focused on matching your content with the needs of the user, mobile search optimization will require the aid of your developers and designers to be fully effective.

Below are several key factors in mobile SEO to keep in mind as you’re optimizing your site.

Site Rendering

How your site responds to different devices is one of the most important elements in mobile SEO.

The two most common approaches to this are responsive design and dynamic serving.

Responsive design is the most common of the two options.

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Using your site’s cascading style sheets (CSS) and flexible layouts, as well as responsive content delivery networks (CDN) and modern image file types, responsive design allows your site to adjust to a variety of screen sizes, orientations, and resolutions.

With the responsive design, elements on the page adjust in size and location based on the size of the screen.

You can simply resize the window of your desktop browser and see how this works.

An image showing the difference between Web.dev in a full desktop display vs. a mobile display using responsive design.Screenshot from web.dev, March 2024

This is the approach that Google recommends.

Adaptive design, also known as dynamic serving, consists of multiple fixed layouts that are dynamically served to the user based on their device.

Sites can have a separate layout for desktop, smartphone, and tablet users. Each design can be modified to remove functionality that may not make sense for certain device types.

This is a less efficient approach, but it does give sites more control over what each device sees.

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While these will not be covered here, two other options:

  • Progressive Web Apps (PWA), which can seamlessly integrate into a mobile app.
  • Separate mobile site/URL (which is no longer recommended).

Read more: An Introduction To Rendering For SEO

Interaction to Next Paint (INP)

Google has introduced Interaction to Next Paint (INP) as a more comprehensive measure of user experience, succeeding First Input Delay. While FID measures the time from when a user first interacts with your page (e.g., clicking a link, tapping a button) to the time when the browser is actually able to begin processing event handlers in response to that interaction. INP, on the other hand, broadens the scope by measuring the responsiveness of a website throughout the entire lifespan of a page, not just first interaction.

Note that actions such as hovering and scrolling do not influence INP, however, keyboard-driven scrolling or navigational actions are considered keystrokes that may activate events measured by INP but not scrolling which is happeing due to interaction.

Scrolling may indirectly affect INP, for example in scenarios where users scroll through content, and additional content is lazy-loaded from the API. While the act of scrolling itself isn’t included in the INP calculation, the processing, necessary for loading additional content, can create contention on the main thread, thereby increasing interaction latency and adversely affecting the INP score.

What qualifies as an optimal INP score?

  • An INP under 200ms indicates good responsiveness.
  • Between 200ms and 500ms needs improvement.
  • Over 500ms means page has poor responsiveness.

and these are common issues causing poor INP scores:

  1. Long JavaScript Tasks: Heavy JavaScript execution can block the main thread, delaying the browser’s ability to respond to user interactions. Thus break long JS tasks into smaller chunks by using scheduler API.
  2. Large DOM (HTML) Size: A large DOM ( starting from 1500 elements) can severely impact a website’s interactive performance. Every additional DOM element increases the work required to render pages and respond to user interactions.
  3. Inefficient Event Callbacks: Event handlers that execute lengthy or complex operations can significantly affect INP scores. Poorly optimized callbacks attached to user interactions, like clicks, keypress or taps, can block the main thread, delaying the browser’s ability to render visual feedback promptly. For example when handlers perform heavy computations or initiate synchronous network requests such on clicks.

and you can troubleshoot INP issues using free and paid tools.

As a good starting point I would recommend to check your INP scores by geos via treo.sh which will give you a great high level insights where you struggle with most.

INP scores by GeosINP scores by Geos

Read more: How To Improve Interaction To Next Paint (INP)

Image Optimization

Images add a lot of value to the content on your site and can greatly affect the user experience.

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From page speeds to image quality, you could adversely affect the user experience if you haven’t optimized your images.

This is especially true for the mobile experience. Images need to adjust to smaller screens, varying resolutions, and screen orientation.

  • Use responsive images
  • Implement lazy loading
  • Compress your images (use WebP)
  • Add your images into sitemap

Optimizing images is an entire science, and I advise you to read our comprehensive guide on image SEO how to implement the mentioned recommendations.

Avoid Intrusive Interstitials

Google rarely uses concrete language to state that something is a ranking factor or will result in a penalty, so you know it means business about intrusive interstitials in the mobile experience.

Intrusive interstitials are basically pop-ups on a page that prevent the user from seeing content on the page.

John Mueller, Google’s Senior Search Analyst, stated that they are specifically interested in the first interaction a user has after clicking on a search result.

Examples of intrusive interstitial pop-ups on a mobile site according to Google.

Not all pop-ups are considered bad. Interstitial types that are considered “intrusive” by Google include:

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  • Pop-ups that cover most or all of the page content.
  • Non-responsive interstitials or pop-ups that are impossible for mobile users to close.
  • Pop-ups that are not triggered by a user action, such as a scroll or a click.

Read more: 7 Tips To Keep Pop-Ups From Harming Your SEO

Structured Data

Most of the tips provided in this guide so far are focused on usability and speed and have an additive effect, but there are changes that can directly influence how your site appears in mobile search results.

Search engine results pages (SERPs) haven’t been the “10 blue links” in a very long time.

They now reflect the diversity of search intent, showing a variety of different sections to meet the needs of users. Local Pack, shopping listing ads, video content, and more dominate the mobile search experience.

As a result, it’s more important than ever to provide structured data markup to the search engines, so they can display rich results for users.

In this example, you can see that both Zojirushi and Amazon have included structured data for their rice cookers, and Google is displaying rich results for both.

An image of a search result for Japanese rice cookers that shows rich results for Zojirushi and Amazon.Screenshot from search for [Japanese rice cookers], Google, March 2024

Adding structured data markup to your site can influence how well your site shows up for local searches and product-related searches.

Using JSON-LD, you can mark up the business, product, and services data on your pages in Schema markup.

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If you use WordPress as the content management system for your site, there are several plugins available that will automatically mark up your content with structured data.

Read more: What Structured Data To Use And Where To Use It?

Content Style

When you think about your mobile users and the screens on their devices, this can greatly influence how you write your content.

Rather than long, detailed paragraphs, mobile users prefer concise writing styles for mobile reading.

Each key point in your content should be a single line of text that easily fits on a mobile screen.

Your font sizes should adjust to the screen’s resolution to avoid eye strain for your users.

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If possible, allow for a dark or dim mode for your site to further reduce eye strain.

Headers should be concise and address the searcher’s intent. Rather than lengthy section headers, keep it simple.

Finally, make sure that your text renders in a font size that’s readable.

Read more: 10 Tips For Creating Mobile-Friendly Content

Tap Targets

As important as text size, the tap targets on your pages should be sized and laid out appropriately.

Tap targets include navigation elements, links, form fields, and buttons like “Add to Cart” buttons.

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Targets smaller than 48 pixels by 48 pixels and targets that overlap or are overlapped by other page elements will be called out in the Lighthouse report.

Tap targets are essential to the mobile user experience, especially for ecommerce websites, so optimizing them is vital to the health of your online business.

Read more: Google’s Lighthouse SEO Audit Tool Now Measures Tap Target Spacing

Prioritizing These Tips

If you have delayed making your site mobile-friendly until now, this guide may feel overwhelming. As a result, you may not know what to prioritize first.

As with so many other optimizations in SEO, it’s important to understand which changes will have the greatest impact, and this is just as true for mobile SEO.

Think of SEO as a framework in which your site’s technical aspects are the foundation of your content. Without a solid foundation, even the best content may struggle to rank.

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  • Responsive or Dynamic Rendering: If your site requires the user to zoom and scroll right or left to read the content on your pages, no number of other optimizations can help you. This should be first on your list.
  • Content Style: Rethink how your users will consume your content online. Avoid very long paragraphs. “Brevity is the soul of wit,” to quote Shakespeare.
  • Image Optimization: Begin migrating your images to next-gen image formats and optimize your content display network for speed and responsiveness.
  • Tap Targets: A site that prevents users from navigating or converting into sales won’t be in business long. Make navigation, links, and buttons usable for them.
  • Structured Data: While this element ranks last in priority on this list, rich results can improve your chances of receiving traffic from a search engine, so add this to your to-do list once you’ve completed the other optimizations.

Summary

From How Search Works, “Google’s mission is to organize the world’s information and make it universally accessible and useful.”

If Google’s primary mission is focused on making all the world’s information accessible and useful, then you know they will prefer surfacing sites that align with that vision.

Since a growing percentage of users are on mobile devices, you may want to infer the word “everywhere” added to the end of the mission statement.

Are you missing out on traffic from mobile devices because of a poor mobile experience?

If you hope to remain relevant, make mobile SEO a priority now.


Featured Image: Paulo Bobita/Search Engine Journal

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SEO

HARO Has Been Dead for a While

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HARO Has Been Dead for a While

Every SEO’s favorite link-building collaboration tool, HARO, was officially killed off for good last week by Cision. It’s now been wrapped into a new product: Connectively.

I know nothing about the new tool. I haven’t tried it. But after trying to use HARO recently, I can’t say I’m surprised or saddened by its death. It’s been a walking corpse for a while. 

I used HARO way back in the day to build links. It worked. But a couple of months ago, I experienced the platform from the other side when I decided to try to source some “expert” insights for our posts. 

After just a few minutes of work, I got hundreds of pitches: 

So, I grabbed a cup of coffee and began to work through them. It didn’t take long before I lost the will to live. Every other pitch seemed like nothing more than lazy AI-generated nonsense from someone who definitely wasn’t an expert. 

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Here’s one of them: 

Example of an AI-generated pitch in HAROExample of an AI-generated pitch in HARO

Seriously. Who writes like that? I’m a self-confessed dullard (any fellow Dull Men’s Club members here?), and even I’m not that dull… 

I don’t think I looked through more than 30-40 of the responses. I just couldn’t bring myself to do it. It felt like having a conversation with ChatGPT… and not a very good one! 

Despite only reviewing a few dozen of the many pitches I received, one stood out to me: 

Example HARO pitch that caught my attentionExample HARO pitch that caught my attention

Believe it or not, this response came from a past client of mine who runs an SEO agency in the UK. Given how knowledgeable and experienced he is (he actually taught me a lot about SEO back in the day when I used to hassle him with questions on Skype), this pitch rang alarm bells for two reasons: 

  1. I truly doubt he spends his time replying to HARO queries
  2. I know for a fact he’s no fan of Neil Patel (sorry, Neil, but I’m sure you’re aware of your reputation at this point!)

So… I decided to confront him 😉 

Here’s what he said: 

Hunch, confirmed ;)Hunch, confirmed ;)

Shocker. 

I pressed him for more details: 

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I’m getting a really good deal and paying per link rather than the typical £xxxx per month for X number of pitches. […] The responses as you’ve seen are not ideal but that’s a risk I’m prepared to take as realistically I dont have the time to do it myself. He’s not native english, but I have had to have a word with him a few times about clearly using AI. On the low cost ones I don’t care but on authority sites it needs to be more refined.

I think this pretty much sums up the state of HARO before its death. Most “pitches” were just AI answers from SEOs trying to build links for their clients. 

Don’t get me wrong. I’m not throwing shade here. I know that good links are hard to come by, so you have to do what works. And the reality is that HARO did work. Just look at the example below. You can tell from the anchor and surrounding text in Ahrefs that these links were almost certainly built with HARO: 

Example of links build with HARO, via Ahrefs' Site ExplorerExample of links build with HARO, via Ahrefs' Site Explorer

But this was the problem. HARO worked so well back in the day that it was only a matter of time before spammers and the #scale crew ruined it for everyone. That’s what happened, and now HARO is no more. So… 

If you’re a link builder, I think it’s time to admit that HARO link building is dead and move on. 

No tactic works well forever. It’s the law of sh**ty clickthroughs. This is why you don’t see SEOs having huge success with tactics like broken link building anymore. They’ve moved on to more innovative tactics or, dare I say it, are just buying links.

Sidenote.

Talking of buying links, here’s something to ponder: if Connectively charges for pitches, are links built through those pitches technically paid? If so, do they violate Google’s spam policies? It’s a murky old world this SEO lark, eh?

If you’re a journalist, Connectively might be worth a shot. But with experts being charged for pitches, you probably won’t get as many responses. That might be a good thing. You might get less spam. Or you might just get spammed by SEOs with deep pockets. The jury’s out for now. 

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My advice? Look for alternative methods like finding and reaching out to experts directly. You can easily use tools like Content Explorer to find folks who’ve written lots of content about the topic and are likely to be experts. 

For example, if you look for content with “backlinks” in the title and go to the Authors tab, you might see a familiar name. 😉 

Finding people to request insights from in Ahrefs' Content ExplorerFinding people to request insights from in Ahrefs' Content Explorer

I don’t know if I’d call myself an expert, but I’d be happy to give you a quote if you reached out on social media or emailed me (here’s how to find my email address).

Alternatively, you can bait your audience into giving you their insights on social media. I did this recently with a poll on X and included many of the responses in my guide to toxic backlinks.

Me, indirectly sourcing insights on social mediaMe, indirectly sourcing insights on social media

Either of these options is quicker than using HARO because you don’t have to sift through hundreds of responses looking for a needle in a haystack. If you disagree with me and still love HARO, feel free to tell me why on X 😉



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