Google Updates Carousels (Beta) Structured Data Documentation via @sejournal, @martinibuster

Google updated the structured data documentation for the Structured Data Carousels (beta) that show rich results for qualifying topics. The new documentation clarifies specific requirements and makes it more explicit that the rich results features are limited to a single geographic area.

Structured Data Carousels (beta)

Carousels Structured Data (beta) enables web publishers that aggregate information related to travel, local, and shopping to add structured data to their pages that makes them eligible for a new carousel rich result that prominently displays their content in the search results in a horizontally scrollable list (the carousel).

This beta rich result feature uses the ItemList structured data and is available for webpages that display content related to LocalBusiness, Product, and Event Schema.org structured data properties. Each tile in the carousel displays relevant information such as price, rating, dates and images in a rich and interactive format.

Stronger Emphasis On Summary Page

The updated documentation makes it clearer that the beta carousel structured data is meant to be implemented on a summary page that links out to pages with more detailed information and that the linked pages that contain the details do not need to have this specific structured data on them.

The old documentation contained the following instructions:

“Add markup to a single page (also known as a single, all-in-one-page list) that contains all list information, including full text of each item. For example, a list of the top hotels in a location, all contained on one page.”

The new documentation now explains it like this:

“Pick a single summary page that contains some information about every entity in the list. For example, a category page that lists the “Top hotels in Paris”, with links out to specific detail pages on your site for more information about each hotel.”

There is also an addition of an example for clarification:

“For example, if you have a “Things to do in Switzerland” article that lists both local events and local businesses.

Add the required properties to that summary page. You don’t need to add markup to the detail pages in order to be eligible for this beta feature.”

There is also an entirely new paragraph:

“Your site must have a summary page and multiple detail pages. Currently, this feature isn’t designed to support other scenarios, such as an all-in-one page where the “details” are anchor points within the same page.

The markup must be on a summary or category page, which is a list-like page that contains information about at least three entities and then links out to other pages on your site for more information on those entities. While you don’t need to add markup to the detail pages, you must include the detail page URLs in your summary page’s markup.”

Lastly, there is an edit to a short paragraph that makes it clearer that the structured data is for a standalone summary page.

This is the previous version:

“The canonical URL of the item detail page (for example, hotel or vacation listing on that page). All URLs in the list must be unique, but live on the same domain (the same domain, or sub or super domain as the current page).”

This is the new version (new wording is italicized):

“The canonical URL of the item detail page (for example, the standalone page for a single hotel or vacation listing that was referenced in the summary page). All URLs in the list must be unique, but live on the same domain (the same domain, or sub or super domain as the summary page).”

Clarification On Geographic Eligibility

Google’s changelog documentation of the changes notes that the changes are meant to clarify that the structured data is for use on summary pages. However it fails to note that the new documentation also has more information about where the new rich results features are available.

This is what the changelog says:

“Clarified that the beta carousel feature is for sites that have a summary page that links out to other detail pages on their website. The markup must be on the summary page, and you don’t need to add markup to the detail pages in order to be eligible for this feature.”

But that changelog is incorrect because it omits that there is an additional paragraph that clarifies that this rich results feature is geographically limited.

The previous version said nothing about what countries are eligible for the beta rich results. That information was contained in the initial announcement of the the new feature but not in the documentation of the new feature.

The new documentation has this additional content which corrects the omission:

“Feature availability
This feature is in beta and you may see changes in requirements or guidelines, as we develop this feature. If your business is based in EEA, or serves users in EEA, and you would like to learn more and express interest in these new experiences, you can start by filling out the applicable form (for flights queries, use the interest form for flights queries).

This feature is currently only available in European Economic Area (EEA) countries, on both desktop and mobile devices. It’s available for travel, local, and shopping queries. For shopping queries, it’s being tested first in Germany, France, Czechia, and the UK.”

It is curious that Google would leave out important information about the feature availability in the original Carousels (beta) documentation and then omit to mention in the changelog documentation that it was added back in.

That’s important information and adding it to the newly updated documentation should have been noted in the changelog.

Read the newly updated documentation and guidelines:

Structured data carousels (beta)

Featured Image by Shutterstock/Framalicious

Google Improves INP For Sites Using Consent Management Platforms via @sejournal, @MattGSouthern

Google has announced improvements to its Interaction to Next Paint (INP) metric for websites using popular consent management platforms (CMPs).

Google made this possible by working directly with platforms like OneTrust, Complianz, and Axeptio.

Barry Pollard, a Chrome User Experience Report (CrUX) team member, announced the initiative in a recent post on the CrUX Announcements group.

Pollard stated:

“The team at Google have been working with a number of Consent Management Platforms, including OneTrust, Complianz and Axeptio, to improve Interaction To Next Paint (INP) by yielding more often—particularly when cookies are accepted.”

INP Insights From Google’s Chrome UX Team

Pollard revealed that Google’s collaboration with CMPs has “resulted in much improved INP for sites using these platforms.”

He explained that the platforms now “yield more often” when cookies are accepted, directly impacting the site’s INP performance.

Related: Get Ready For Google’s INP Metric With These 5 Tools

The Importance Of INP

Introduced as a replacement for First Input Delay (FID), INP measures the time from when a user interacts with a page to when the browser can render the changed pixels to the screen.

As a Core Web Vital, INP plays a role in assessing a website’s interactivity and overall user experience.

Optimizing INP & Identifying Issues

You can evaluate your site’s current INP performance using tools like PageSpeed Insights and CrUX.

Google has also published a tutorial on identifying and resolving INP issues, guiding developers through steps like diagnosing problematic areas, optimizing JavaScript, and streamlining the DOM structure.

According to data from DebugBear, a web performance monitoring platform, the average website takes 1.3 seconds to load the main page content (as measured by the Largest Contentful Paint metric).

However, there is significant variation in loading speeds across different websites, devices, and locations.

FAQ

What is Interaction to Next Paint (INP) and why is it important?

In simple terms INP measures the time from when a user interacts with a page to when the browser can render the changed pixels on the screen. It’s an evolution from the First Input Delay (FID) metric and is considered a Core Web Vital by Google.

INP is important because it quantifies the responsiveness of a webpage, which is an aspect of user experience. A lower INP ( < 200ms ) indicates a more interactive and responsive website, which can contribute to user satisfaction and potentially better search visibility.

How have Consent Management Platforms been improved for better INP results?

CMPs like OneTrust, Complianz, and Axeptio have been optimized through Google’s collaboration to enhance website INP metrics.

This was achieved by having the platforms “yield more often,” specifically when users accept cookies.

Yielding more often means these platforms allow the browser’s main thread to be less occupied with processing consent-related tasks, improving the INP metric and overall performance.

Featured Image: rafapress/Shutterstock

Google’s John Mueller Clarifies 404 & 410 Confusion For SEO via @sejournal, @MattGSouthern

A recent discussion on the r/SEO Reddit forum provided insights from Google’s Search Advocate, John Mueller, regarding website penalties and the use of HTTP status codes.

Mueller addressed questions raised by a website owner who had previously used AI to generate content for their videogame guide website.

After removing approximately 200 AI-generated pages due to concerns, the owner sought advice on recovery.

The conversation led to a discussion of the nuances of HTTP status codes 404 and 410, which indicate missing or permanently removed web pages.

Mueller’s responses clarified Google’s stance, emphasizing practical considerations over theoretical differences in SEO.

Website Owner Admits To AI Content Creation

The conversation began when a website owner admitted using AI technologies like GPT to generate content for older games on their long-standing game guide website.

The site owner confessed

“I did try to see if I could get GPT to write game guides for older games that I haven’t played, just to boost content on the site and take advantage of the authority the site had.”

After a brief period of success, concerns arose, prompting the removal of approximately 200 AI-generated pages.

As they grapple with the repercussions, they ask:

“I’m wondering if this has typically been enough for others to see some recovery?”

Addressing 404 Status Codes

One Reddit user suggested the site might be facing penalties due to 404 status codes, which indicate a webpage cannot be found.

However, Mueller swiftly clarified the situation:

“Google does not penalize for 404’s (those pages drop out of the index though).”

404 vs. 410 Status Codes

A follow-up question asked about the potential impact of using a 410 status code, indicating that a resource is permanently gone, versus a 404.

Mueller’s confirms the differences are negligible in terms of SEO:

“It doesn’t matter. The difference in processing of 404 vs 410 is so minimal that I can’t think of any time I’d prefer one over the other for SEO purposes.”

He acknowledged the theoretical correctness of using the appropriate status code but says practical considerations take priority.

A Lighthearted Closing

Recognizing the widespread attention his comments would likely receive, Mueller concluded his response with a touch of humor:

“And I realize that writing this out now will trigger another cycle of needless attention – or is it really needless? Hi, mom. I would like to thank the academy for the honor of being here. Support the Women in Tech SEO group. Floss.”

Why SEJ Cares

With the March core update still rolling out, Mueller’s insights provide valuable guidance on navigating potential demotions and ensuring compliance with best practices.

Mueller’s comments on HTTP status codes offer a pragmatic approach to handling missing or removed web pages.

With this knowledge, SEO professionals can make more informed decisions.

How This Can Help You

Mueller’s advice provides a starting point for those facing similar situations.

By following best practices and addressing potential issues promptly, website owners can work towards regaining their search engine visibility.


FAQ

How does Google view 404 and 410 HTTP status codes regarding SEO?

Google’s position on HTTP 404 and 410 status codes is that they are treated similarly with minimal differences in SEO impact.

These codes signal to Google that a page is missing (404) or permanently removed (410), and as such, the pages will be dropped from the index, but these responses do not result in penalties.

Understanding these distinctions allows SEO professionals to handle missing content appropriately without fear of negative SEO repercussions.

Are there negative ramifications for using AI to create content on websites?

While not inherently penalized, AI-generated content must meet quality guidelines, as low-quality content can negatively impact a site’s SEO.

Recovery from removing such content depends on various factors, including adherence to best practices and the quality of the remaining content.

Genuine and value-driven content tends to be favored in search ranking.

Can the removal of low-quality or non-compliant content lead to search ranking recovery?

Eliminating low-quality or non-compliant content is often a step towards recovery in search rankings because it aligns with Google’s emphasis on high-quality and relevant information.

However, the recovery process can also depend on factors like the creation of valuable content, overall site performance, and adherence to SEO best practices.


Featured Image: Roman Samborskyi/Shutterstock

WordPress Discovers XSS Vulnerability – Recommends Updating To 6.5.2 via @sejournal, @martinibuster

WordPress announced the 6.5.2 Maintenance and Security Release update that patches a store cross site scripting vulnerability and fixes over a dozen bugs in the core and the block editor.

The same vulnerability affects both the WordPress core and the Gutenberg plugin.

Cross Site Scripting (XSS)

An XSS vulnerability was discovered in WordPress that could allow an attacker to inject scripts into a website that then attacks site visitors to those pages.

There are three kinds of XSS vulnerabilities but the most commonly discovered in WordPress plugins, themes and WordPress itself are reflected XSS and stored XSS.

Reflected XSS requires a victim to click a link, an extra step that makes this kind of attack harder to launch.

A stored XSS is the more worrisome variant because it exploits a flaw that allows the attacker to upload a script into the vulnerable site that can then launch attacks against site visitors. The vulnerability discovered in WordPress is a stored XSS.

The threat itself is mitigated to a certain degree because this is an authenticated stored XSS, which means that the attacker needs to first acquire at least a contributor level permissions in order to exploit the website flaw that makes the vulnerability possible.

This vulnerability is rated as a medium level threat, receiving a Common Vulnerability Scoring System (CVSS) score of 6.4 on a scale of 1 – 10.

Wordfence describes the vulnerability:

“WordPress Core is vulnerable to Stored Cross-Site Scripting via user display names in the Avatar block in various versions up to 6.5.2 due to insufficient output escaping on the display name. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.”

WordPress.org Recommends Updating Immediately

The official WordPress announcement recommended that users update their installations, writing:

“Because this is a security release, it is recommended that you update your sites immediately. Backports are also available for other major WordPress releases, 6.1 and later.”

Read the Wordfence advisories:

WordPress Core < 6.5.2 – Authenticated (Contributor+) Stored Cross-Site Scripting via Avatar Block

Gutenberg 12.9.0 – 18.0.0 – Authenticated (Contributor+) Stored Cross-Site Scripting via Avatar Block

Read the official WordPress.org announcement:

WordPress 6.5.2 Maintenance and Security Release

Featured Image by Shutterstock/ivan_kislitsin

LinkedIn Shares 7 Insights For Powerful Online Engagement via @sejournal, @martinibuster

LinkedIn shared insights with Search Engine Journal about how to effectively plan and roll out new features based on their experience planning and rolling out new AI features. The insights are useful whether you’re planning a content strategy or adding new features to your business.

I spoke with Prashanthi Padmanabhan, Head of Engineering for LinkedIn Premium. LinkedIn recently rolled out a massive change for their premium subscribers that analyzes comments, articles, videos, and posts and suggest how the information is useful for the member, as well as a new job seeker experience.

What happened behind the scenes and the takeaways from it offer useful insights that are useful to anyone who publishes or sells online.

Prashanthi Padmanabhan, Head of Engineering for LinkedIn Premium

Image/LinkedIn

Creating A Foundation For Success

I asked Prashanthi about her takeaways on planning and creating these features and her answer consisted of three points

  1. Anchor your strategy to your mission
  2. Think through how your plans add value to your audience or customers
  3. Get member feedback from day one

Here is what she shared:

“There are three main takeaways for me from this experience so far. The first is to anchor your strategy to your mission. A robust product strategy and roadmap should always be anchored in the company’s overarching mission. By aligning every decision on our roadmap with this purpose, we ensure our efforts directly contribute to member success.

The next is about thinking through how to leverage technical innovations. As part of the engineering team, we embrace cutting-edge technologies like Generative AI. These innovations allow us to craft elegant and practical solutions that cater to our members’ needs. Our commitment lies in delivering features that truly add value to our members’ experiences.

Last, but not least, is to incorporate member feedback early and often. We strongly believe that our members’ feedback and sentiments are invaluable. From the moment our product faces our customers, it’s Day 1. We build and roll out features through iterative development, relying on a blend of internal reviews and in-product feedback to gauge quality.

For instance, our initial foray into AI-powered writing suggestions for LinkedIn profiles and messages provided valuable insights from our members’ point of view. By listening to our members and adapting based on their actions, we will continue to refine features to meet—and ideally exceed—their expectations.”

Map Your Plans To User’s Needs, Not Trends

There are always many ideas of things that a business can do for their users. But what’s the right way to assess if something is worth doing?

Prashanthi answered that she and team started with understanding member’s needs as an ongoing iterative process. This is a great insight for anyone who works online and wants to go beyond what competitors are doing.

Another insight that everyone should pay attention to is that LinkedIn didn’t look at what others are doing, they focused on what their users might find useful. A lot of SEO and online content projects begin with competitor research and that’s something that in my opinion leads to unoriginal content that is the opposite of the unique experiences that Google wants to show in the search engine results pages (SERPs).

She answered:

“The process of identifying the right features to add begins with a deep understanding of our members’ and customers’ needs. We do this by validating our hypotheses through research and feedback. However, it’s not a one-time task; it’s an ongoing, iterative process. At LinkedIn, we rely on a combination of data, success metrics, and member feedback to gauge how well we’re meeting those needs. As we evolve our products, alignment to our mission, data insights, and feedback help guide our overall development journey.

For example, when we recognized that Generative AI could revolutionize technology, we didn’t simply follow trends. Instead, we asked ourselves: Could this technology truly benefit our members? If so, how could we integrate it into our Premium platform? For instance, we explored using it to simplify tasks like helping to write when starting a blank page or extracting key insights from LinkedIn feed posts.

It’s important to note that LinkedIn Premium is intentionally designed to enhance member productivity and experience based on their individual goals. So the features we add to Premium should map to their specific needs – for job seekers that could be helping them stand out to find the right job, getting the right insights for creators to help them build their audiences, and giving businesses a platform to build and grow their brand.”

The Importance Of The Why, What, & When

Every business faces the question, what do we do next and how do we do it? Prashanthi offered her insights on what to focus on in order to maximize for a successful outcome.

Prashanthi shared:

“Our product engineering principles at LinkedIn are rooted in three fundamental elements: starting with the “why,” aligning on the “what,” and optimizing for the “when.” We found these principles are a solid guide for navigating through the complex process of creating impactful products that resonate with our members.

The why is determined by delving into the site’s purpose and identifying the target audience—those who will benefit most from the site’s offerings. This clarity on the “why” sets the foundation for subsequent decisions.

With the “why” firmly in mind, now align on the “what.” This step involves defining the set of features and capabilities the site needs. We ask ourselves, what functionalities are essential to address the identified needs and then go from there. Carefully curating this feature set can help get a better feel for how they align with members’ requirements.

The final step is optimizing for the “when.” Engineering teams often grapple with the delicate balance between craftsmanship and time-to-market. Rather than waiting indefinitely for perfection, embrace early testing, such as releasing a minimum viable product (MVP) to gather feedback promptly. Metrics such as site visitor volume, engagement duration, and return frequency guide the assessment of the site’s value. It’s a dynamic dance between precision and speed, all aimed at delivering an exceptional experience.”

What Is A Good User Experience?

The concept of user experience can be subjective, we all have an idea of what it might be. I wanted to find out from Prashanthi, as head of engineering, how does one even translate the concept of a good user experience to an actual user experience online?

Her answer emphasized the importance of keeping things as simple and intuitive as possible, plus consistency.

She shared:

“For me, a good user experience means a product is simple, intuitive, and trustworthy. As an engineering team, translating the concept of a good user experience into reality requires meticulous attention to detail throughout the process. At LinkedIn this starts at the very beginning when we are transforming product and design specifications into a technical design. It’s essential to focus on simplicity and the consistency of the user experience across the entire product, so it’s intuitive to use with less cognitive load.

I’m also a big fan of clear and concise messaging (copy) for our customers as they help to build trust; in fact, when users run into issues, the clarity and usefulness of error messages and support resources make a huge difference.

I’ve found that customers are forgiving when your product works well and fast most of the time, and during times when there are issues, clear guidance on how they can best navigate that situation is critical. When it comes to reliability and performance, it’s simple – the product should work reliably every single time. A high-performance product gives users instant gratification as people care a lot about productivity and saving time, so they should be able to trust that the product will always work, and work fast.”

Importance Of Commitment To Improvement

A majority of LinkedIn’s users indicated that the new features are useful. I asked Prashanthi is the takeaway for online businesses that would in their own way increase the helpfulness of their business, whether that’s an ecommerce site, recipe blog, product review or comparison site?

Her answer suggests that creating content or features that resonate with users is a key to increasing the helpfulness of a website, something that’s super important for any online business today.

She offered the following insights:

“We’re extremely excited that early tests show that 90% of subscribers with access to our popular AI-powered job experience find it useful! This positive feedback underscores our commitment to creating features that genuinely resonate with our members. Rather than focusing on technology for technology’s sake, prioritizing how this tech can genuinely benefit our members seems to be resonating.

As professionals we know that job hunting can be an isolating and overwhelming experience, so we’ve introduced AI-assistant features designed to support and guide members throughout their job search journey, leveraging the knowledge from our Economic Graph. Our goal is to provide a virtual handhold, enabling job seekers to efficiently and confidently identify roles that align with their skills and aspirations. The overwhelmingly positive response reinforces that we’re moving in the right direction.

Our product development journey is guided by a combination of essential factors:

  • Product intuition
  • Technical innovation
  • Data insights
  • Customer feedback.

These elements apply universally to any product we create. It’s essential to recognize that achieving success doesn’t happen overnight. Instead, it requires a culture of rapid experimentation and continuous learning. We understand that perfection isn’t attainable on the first try, but our commitment to improvement drives us forward.”

How To Decide What’s Helpful For Users?

Being unique and helpful is important for ranking in today’s search engine. But how does one go about reimagining the user’s experience? It can be difficult to someone inside the business to understand what users may need.

I asked, what advice would you give an online business, whether that’s an ecommerce or a product review site that is contemplating what they can do better to serve their users?

She suggested the following steps:

“When we create new products, it’s essential to consider what other people need. So, right at the start, finding ways to bring more of the outside into development is critical. In the initial phases of developing our product strategy and roadmap for Premium, our user experience research and marketing teams conducted a combination of qualitative (numbers) and quantitative (stories) research to develop a deeper understanding of specific needs and related sentiments. This kind of research helps refine the personas we are building products for and clearly articulates the specific jobs and goals people are trying to accomplish with our products. For any business, this process can really humanize the product development process by helping to build a clear picture of the people that the product is designed for. It’s like getting to know them as real individuals.

But don’t just stop there. Once a basic version of the product (MVP) is ready, test it with a small group and pay attention to how well it works and what is said by the users. At LinkedIn, we involve our engineers in this process so they can learn about member’s needs and hear feedback first hand. As an engineering leader, I really enjoy sitting in these research sessions!—it makes the problems the team and I are solving feel more real. It’s better than just reading a list of product requirements.”

Cultivate Empathy For Online Success

A lot of times I read posts on social media where someone describes how they did their keyword research, hired experts for content and did many things to demonstrate expertise, experience, authoritativeness, and trustworthiness but nothing about empathizing with the site visitors, something that Prashanthi suggested was key to creating quality user experiences.

Reading some of LinkedIn’s descriptions of what they do, I saw a reference to a “user-focused lens” and I was curious about what that means to LinkedIn and what the end goal of that is.

She answered:

“Looking through a user-focused lens is about really connecting with our members and understanding their needs and experiences, with the goal being that what we create is functional as well as a joy to use.

As product builders, our most important job is to build ones that solve our member’s needs and create value for them at every touch point. For me, the only way to internalize what this means is to put ourselves in our members’ shoes and empathize with their needs. And this is where all product development functions, especially engineering, staying close to the member experience, sentiments, feedback, etc. will go a long way in developing a member-centric product development culture.

For example, when discussing features like AI-powered writing assistants, some members have reflected on how they consider themselves novice writers and how useful they find our thought-starters and suggested message drafts. When I hear these sentiments, it gives me confidence that the products we are building are helping make their lives easier, taking them a step closer to their goals and, in turn, making our jobs and purpose more meaningful.”

User Focused Online Experiences

Prashanthi’s answers show the value of a user-centric approach to everything we do online. Anchoring your content strategy to your mission, cultivating the quality of empathy, and listening to your site visitors is important.

The information she shared is adaptable to any scenario in online marketing whether that business is sales, content, recipes or reviews.

YouTube’s ‘Affiliate Hub’ Offers A New Way For Channels To Make Money via @sejournal, @MattGSouthern

As YouTube continues its push into ecommerce, it’s launching an ‘Affiliate Hub’ to make it easier for channels to earn affiliate marketing income.

The Affiliate Hub, integrated into the YouTube app, is a central place to browse top affiliate partners, commission rates, promotional offers, and even request product samples.

It’s one of several new shopping features YouTube has launched, targeting the lucrative creator economy.

Other updates include:

  • Shopping Collections that allow creators to curate their own product galleries.
  • The ability for all creators (not just affiliates) to bulk tag products across their video libraries.
  • Integration with e-commerce platform Fourthwall to manage storefronts within YouTube Studio.

The updates come amid a growth period for YouTube Shopping.

In 2023, viewers reportedly watched over 30 billion hours of shopping-related videos, representing a 25% increase in watch time year over year.

Here’s more about YouTube’s new shopping updates.

YouTube Affiliate Hub

For affiliate marketers considering YouTube, today’s update makes it more appealing and creator-friendly.

“Who doesn’t love a good deal?” said Aditya Dhanrajani, YouTube’s Director of Product Management for Shopping. “The Affiliate Hub is making it easier for Shopping creators to find the information to start planning their next shoppable video.”

For YouTube creators building an affiliate marketing business, the Hub streamlines a fragmented process of dealing with different brands across separate platforms and sources.

Now, creators can view all the latest affiliate brand opportunities, exclusive promo codes to share with their audience, and commission payouts in one place.

“Our creators understand the incredible opportunity for affiliate earnings on YouTube,” said Dhanrajani. “With an integrated Affiliate Hub providing partnership opportunities, promo deals, and seamless product tagging, there’s never been a better time to build an affiliate business on our platform.”

Other New Shopping Features

Shopping Collections

YouTube highlights another key feature in this update: Shopping Collections, which allows channels to curate products from their favorite brands or their own merchandise lines.

Creators can now group products into themed collections, making it easier for viewers to discover and purchase related items.

Collections will appear in a channel’s product list, Store tab, and video descriptions. The feature is initially launching on the Studio app for mobile, with plans to expand to desktop soon.

Expanded Product Tagging

Last year, YouTube introduced the ability for affiliate shopping creators to tag products across multiple videos simultaneously based on items listed in the video descriptions.

This feature is now being expanded to all Shopping creators, allowing them to tag their products and merchandise across their entire video library. This update could help creators earn more revenue from older, high-traffic content.

Integration With Fourthwall

YouTube is integrating Fourthwall, an e-commerce platform, into its list of supported shopping platforms.

This integration will enable creators to create and manage their storefronts directly within YouTube Studio, streamlining the process of setting up and maintaining an online store.

“We know that people come to YouTube every day to connect with the things and creators they love,” Dhanrajani stated. “We hope these new YouTube Shopping features make that journey even easier for creators and viewers.”

In Summary

As the spring shopping season kicks off, these updates enhance YouTube’s ecommerce capabilities and provide creators with more opportunities to monetize their content.

View YouTube’s announcement below:

Google Explains How It Processes Queries & Ranks Content via @sejournal, @martinibuster

Google’s Gary Illyes published an new How Search Works video that gave an inside look into how search queries are interpreted and ranked. Gary’s presentation shows an outline of the ranking process that every SEO should know and understand.

Goal Of Ranking

Gary begins the presentation by emphasizing that the goal in search is to provide results with webpages that are high quality, trustworthy and are relevant.

Later in the video he refines the meaning of the word relevance by emphasizing relevance to the user, which is different than plain semantic relevance. Relevance to the user can mean personalization which can be previous searches, topicality and geolocation. I use the word topicality in the sense of a query being topical, as in trending interest.

Many SEOs are focused on the semantic meaning of words but another way of thinking about relevance is in relation to the user, which can encompass a lot of factors.

Search Query Parsing

Gary next moves on to the first step of how Google ranks webpages which is by interpreting the search query, which begins with cleaning up the search query by removing stop words, identifying entities that need stop words, and query expansion.

Stop words are words like “and”, “in”, “is”, “on”, and “the” that are stripped out of search queries because they appear frequently and don’t add anything meaningful to what the user means. IN general, there’s also a practical reason for removing stop words in that it reduces database bloat and their absence improves processing time.

Gary Illyes mentioned that some phrases need stop words so that’s something they look out for too, using the example of the Statue Of Liberty, where the word “of” is important to the meaning.

Query Expansion

This is the part where search queries are combined with other similar queries, using the example of “car dealership” being the same as “auto dealership” which means that a webpage about one can rank for queries about the other even if the phrase doesn’t appear on the webpage.

Once the query is understood, the parsed query is then sent to the index for ranking

Ranking

Gary says that a large amount of matching webpages are sent to the index to be ranked.

He mentions the following considerations:

  • Relevancy to the user
  • Hundreds of factors determine relevance
  • Webpage content is the most important factor
  • Other factors include user location, language and device type
  • Quality of the webpage and the site are taken into ranking consideration
  • Quality = uniqueness of content
  • Relative importance of the page on the Internet
  • Surfaced search features are query-dependent

Relevancy To The User

Gary mentions that the ranking “largely depends on the relevancy of the results to the user” which is a deceptively simple statement that has a lot of meaning. As I mentioned earlier, many SEOs focus on semantic relevance but the part about relevance to the user is super important because search queries have multiple meanings and contexts that go beyond semantic relevance. Gary’s presentation mentions these other ways of understanding relevance to the user.

Important points that he mentions are:

“Hundreds of factors determine relevance…

…actual contents of the page being the most important one,”

…user’s location, language and device type”

That’s not a complete list but it shows how determining relevance is more complex than anchor text, entity analysis, user intent analysis and semantic keyword SEO.

Quality Of Webpages And Sites

It’s interesting that Gary chose to emphasize the uniqueness of the content not just as a quality factor but as an important factor. Many SEOs interpret the word “uniqueness” literally in the sense of a word-for-word duplication of other content. But unique has another meaning in the sense of something being unlike other things altogether.

I see SEOs list the things they do to create high ranking content and it makes me cringe when they include “competitor analysis” as part of that process because that’s the first step in creating content that is similar to what’s already in the search results, based on the idea that this is what Google ranks so let’s give Google more of it. The resulting content can be the exact opposite of  unique and not at all what Google is looking for, resulting in the “discovered not indexed” designation in search console.

Uniqueness is something that Googlers have been emphasizing for decades and it’s something to think deeply about.

Search Features

Google shows many different kinds of search features and Gary Illyes says that they’re query dependent, meaning that different queries trigger different features.

He said:

“Based on the user’s query, the Search features that appear on the Search result pages may also change.”

Takeaways

Gary covered a lot of topics in a snack-sized video that belies the importance of the information that was shared in it.

Watch Gary’s presentation:

How Google Search serves pages

Featured image a screenshot of Google’s video/modified by author

LinkedIn’s Most In-Demand Skills: Why You Need Them Your Profile via @sejournal, @MattGSouthern

A new report from LinkedIn identifies the critical skills professionals must develop to remain competitive in today’s workforce.

Communication, customer service, leadership, and adaptability top the list, reflecting a growing emphasis on uniquely human capabilities that AI can’t replicate.

“People skills are going to come more to the center of individual career growth,” predicts LinkedIn VP Aneesh Raman. “And people-to-people collaboration is going to come into the center more for company growth.”

The annual ranking is based on data from LinkedIn’s 1 billion users across 200 countries and regions.

The Top 10 Most In-Demand Skills For 2024

A graphic showcasing the Screenshot from: LinkedIn, April 2024.
  1. Communication
  2. Customer Service
  3. Leadership
  4. Project Management
  5. Management
  6. Analytics
  7. Teamwork
  8. Sales
  9. Problem-Solving
  10. Research

In addition to the top 10 list, LinkedIn identified adaptability as the “skill of the moment” due to its remarkable year-over-year growth in demand.

“Since AI has changed work so profoundly over the last year, we’re highlighting adaptability as the top ‘skill of the moment’ with the biggest surge in demand,” said LinkedIn Global Head of Content Strategy Dan Brodnitz. “It’s indispensable for teams to keep steady and drive impact as the pace of change accelerates.”

By 2030, an estimated 65% of job skills are expected to change, up from just 25% in 2015. Currently, over half of LinkedIn users have roles at risk of disruption by AI.

To help people build critical soft skills, LinkedIn is offering free access to relevant learning courses until May 31st, 2024. Find links to each course in LinkedIn’s report.

The Importance Of Showcasing Skills On LinkedIn

According to a new LinkedIn blog post, as skills-based hiring becomes the norm, clearly listing your capabilities on your LinkedIn profile has never been more important.

“Increasingly, skills — as much as schooling, previous companies, job titles, and work experience — are what get you a new job,” writes LinkedIn’s Bruce M. Anderson.

Nearly half of hirers explicitly use members’ listed skills to fill open roles.

LinkedIn data shows that people with at least one listed skill receive up to double the number of profile views, connection requests, and messages compared to those without skills listed.

LinkedIn recommends listing up to 50 skills spanning hard technical and soft human skills.

Job seekers are advised to focus on skills frequently mentioned in job postings for their desired roles and sectors.

“God is in the details,” advises Anderson. “Where appropriate, list specific skills rather than generic skills or umbrella terms.”

For instance, instead of just “communication,” list public speaking, executive communications, copywriting, and other specialized communication skills.

However, more than simply listing skills is needed. LinkedIn recommends asking colleagues and managers for endorsements of listed skills.

Additionally, users can create a “Projects” section detailing how they applied particular skills and supporting claims with media like case studies, blog posts, and presentations.

“Regularly adding new skills is also advisable,” says Anderson, pointing to data showing members updated their skills 11% more frequently when hired or promoted.

In Summary

As AI automates more technical roles, clearly articulating one’s complete skills portfolio on LinkedIn has become a vital career currency. Those most adept at constantly updating their skills – and skillfully marketing them – will remain most employable in 2024 and beyond.


FAQ

How can adaptability enhance an SEO expert’s value in the face of AI advancements?

LinkedIn considers adaptability to be the most essential skill because the workplace is changing quickly due to advances in artificial intelligence (AI). For SEO professionals, adaptability means smoothly transitioning to using new technologies and dealing with search engine algorithm updates.

It involves flexibly shifting strategies when needed and staying competitive in the SEO industry.

As AI continues to transform job roles, SEO specialists who can rapidly learn and implement new techniques will continue to provide value to their clients and remain prominent and successful in the market.

In the context of SEO, what is the significance of continuously updating one’s skill set on professional platforms like LinkedIn?

Showing a broad and expanding set of abilities helps SEO experts better appeal to potential clients or employers, putting more emphasis on hiring people based on their specific skills.

Highlighting specialized SEO skills like technical website optimization and building high-quality backlinks, along with endorsements and examples of past projects, builds credibility. It proves you are dedicated to keeping up with the latest best practices in the ever-evolving SEO field.

Why should SEO experts focus on soft skills like leadership and teamwork, as LinkedIn indicates?

LinkedIn’s report shows a growing emphasis on soft skills, such as leadership and teamwork, which are difficult for AI to replicate.

For SEO experts, honing these skills is vital to successful project management, cross-functional collaborations, and leading SEO teams or initiatives.

Soft skills complement technical abilities, enabling SEO professionals to navigate client relationships and foster an environment of continuous improvement.

Leaked: Google Gemini Availability In Android Search via @sejournal, @martinibuster

A student and researcher who leaks hidden Android features discovered a setting deep within the Android root files that enables Google Gemini directly from Google search in a way that resembles Apple iOS, raising questions about why that’s in there and if it could be connected to a general rollout of AI in search rumored to be happening in May 2024.

Gemini: What SEO Could Be Up Against

There are only rumors that some form of AI search will be rolled out. But if Google rolls out Gemini access as a standard feature then the following gives an idea of what the search community would have to look forward to.

Gemini is Google’s most powerful AI model that contains advanced training, technology and features that in many ways go far beyond existing models.

For example, Gemini is the first AI model to be natively trained to be multimodal. Multimodal means that ability to work with images, text, video and audio and pull knowledge from each of the different forms of media. All previous AI models were trained to be multimodal with separate components and then the separate parts were joined together. According to Google the old way of training for multimodality didn’t work well for complex reasoning tasks. Gemini however is pre-trained with multimodality which enables it to have complex reasoning abilities that exceed those of all previous models.

Another example of the advanced capabilities of Gemini is the unprecedented scale of the context window. A context window is the amount of data a language model can consider simultaneously in order to make a decision. The context window is one measure of how powerful the language model is. Context windows is measured in “tokens” which represent the smallest unit of information.

Comparison Of Context Windows

  • ChatGPT has a maximum context window of 32k
  • GPT-4 Turbo has a context window of 128k
  • Gemini 1.5 pro has a context window of one million tokens.

To put that context window into perspective, Gemini’s context window allows it to process the entire text of the three Lord of the Rings books or ten hours of videos and ask it any question about it. In comparison, OpenAI’s best context window of 128k is able to consider the 198 page Robinson Crusoe book or approximately 1600 tweets.

Internal Google research has shown that their advanced technologies enables context windows as high as 10 million tokens.

Leaked Functionality Resembles iOS Implementation

What was discovered is that Android contains a way to access the Gemini AI directly from the search bar in the Google App in the same way as it’s available in Apple mobile devices.

The official directions for the Apple device mirror the functionality that the researcher discovered hidden in Android.

This is how the iOS Gemini access is described:

“On iPhones, you can chat with Gemini in the Google app. With a tap of the Gemini tab , unlock a whole new way to learn, create images and get help while you’re on the go. Interact with it through text, voice, images, and your camera to get help in new ways.”

The researcher who leaked the Gemini functionality in Google search discovered it hidden within Android. Enabling this function caused a toggle to appear in the Google search bar that makes it easy for users to swipe to directly access Gemini AI functionality exactly the same way as in iOS.

Enabling this functionlity requires rooting an Android phone, which means accessing the operating system at the most fundamental level of files.

According to the person who leaked the information, one of the requirements for the toggle is that Gemini should already be enabled as the mobile assistant. An app called GMS Flags must also be installed in order to obtain the ability to toggle Google app features on and off.

The requirements are:

“Required things –

Rooted devices running Android 12+

Google App latest beta version from Play Store or Apkmirror

GMS Flags app installed with root permission granted. (GitHub)

Gemini should be available for you already in your Google app.”

Screenshot Of New Search Toggle

A screenshot highlighting the 'toggle' button in a user interface with a red arrow pointing towards it, with a google search bar visible in the background and a snippet of a finance-related application at the bottom.A screenshot highlighting the ‘toggle’ button in a user interface with a red arrow pointing towards it, with a google search bar visible in the background and a snippet of a finance-related application at the bottom.

Screenshot Of Gemini Activated In Google Search

The person who uncovered this functionality tweeted:

“Google app for Android to soon get toggle to switch between Gemini and Search [just like on iOS]”

Google Set To Announce Official Rollout Of SGE?

There have been rumors that Google is set to announce the official rollout of Google Search Generative Experience at the May 2024 I/O conference where Google regularly announces new features coming to search (among other announcements).

Eli Schwartz recently posted on LinkedIn about the rumored SGE rollout:

“That date did not come from Google PR; however, as of last week, that is the current planned launch date internally. Of course, the timeline could still change, given that it’s still 53 days away. Throughout the last year, multiple launch dates have been missed.

…Also, it’s important to elaborate on what exactly “launch” means.

Right now, the only way to see SGE, unless you’re in the beta experiment, is if you’re opted into the labs.

Launching means that they’ll show SGE to people who have not opted in, but the scale of that could vary widely.”

It’s unknown if this hidden toggle is a place marker for a future version of the Google search app or if it’s something that enables the rollout of SGE at a future data.

However this hidden toggle does offer a possible clue for those who are curious about how Google may roll out an AI-based front end to search and if this toggle is a connector in some way to that function.

Read how to root to enable Gemini in Android search:

How to enable the material bottom navigation search bar and Gemini toggle in Google Discover on Android [ROOT]

OpenAI context window list

Featured Image by Shutterstock/Mojahid Mottakin

Meta Plans A Less Punitive AI-Generated Content Policy via @sejournal, @martinibuster

Meta announced an update to its AI labeling policy, expanding its definition of “manipulated media” to go beyond AI-generated videos, to now include deceptive audio and images on Facebook, Instagram and Threads.

An important feature of the new policy is it’s sensitivity on being perceived as being restrictive of freedom of expression. Rather than adopt the approach of removing problematic content Meta is instead simply labeling it. Meta introduced two labels, “Made with AI” and “Imagined with AI,” to make clear what content was created or altered with AI.

New Warning Labels

The AI-generated content will rely on identifying the signals of AI-authorship and self-reporting:

“Our ‘Made with AI’ labels on AI-generated video, audio, and images will be based on our detection of industry-shared signals of AI images or people self-disclosing that they’re uploading AI-generated content”

Content that is significantly misleading may receive more prominent labels so that users can get a better understanding.

Harmful content that violates the Community Standards, such as content that incites violence, election interference, bullying or harassments will qualify for removal, regardless if it is human or AI generated.

Reason For Meta’s Updated Policy

The original AI labeling policy was created in 2020 and because of the state of the technology it was narrowly defined confined to addressing deceptive videos (the kind that depicted public figures saying things they never did). Meta’s Oversight Board recognized that technology has progressed to the point that a new policy was needed. The new policy accordingly expands to now address AI-generated audio and images, in addition to videos.

Based On User Feedback

Meta’s process for updating their rules appear to have anticipated pushback from all sides. Their new policy is based on extensive feedback from from a wide range of stakeholder and input from the general public. The new policy also has the flexibility to bend if needed.

Meta explains:

“In Spring 2023, we began reevaluating our policies to see if we needed a new approach to keep pace with rapid advances… We completed consultations with over 120 stakeholders in 34 countries in every major region of the world. Overall, we heard broad support for labeling AI-generated content and strong support for a more prominent label in high-risk scenarios. Many stakeholders were receptive to the concept of people self-disclosing content as AI-generated.

…We also conducted public opinion research with more than 23,000 respondents in 13 countries and asked people how social media companies, such as Meta, should approach AI-generated content on their platforms. A large majority (82%) favor warning labels for AI-generated content that depicts people saying things they did not say.

…And the Oversight Board noted their recommendations were informed by consultations with civil-society organizations, academics, inter-governmental organizations and other experts.”

Collaboration And Consensus

Meta’s announcement explains that they plan for the policies to keep up with the pace of technology by revisiting it with organizations like the Partnership on AI, governments and non-governmental organizations.

Meta’s revised policy emphasizes the need for transparency and context for AI-generated content, that removal of content will be based on violations of their community standards and that the preferred response will be to label potentially problematic content.

Read Meta’s announcement

Our Approach to Labeling AI-Generated Content and Manipulated Media

Featured Image by Shutterstock/Boumen Japet