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It’s Bigger Than You Think

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It's Bigger Than You Think

This is an excerpt from SEJ’s SEO Trends 2024 ebook, our annual roundup of expert opinions on what you can expect over the course of the next 12 months. 

One of the most impactful developments last year was in the meaning of the word “helpful” from Google’s point of view.

Google employees were previously coy about whether and how the algorithms consider site-wide signals. This year’s helpful content updates were explicit: Google’s algorithms generate site-wide signals considered in ranking. It bases these signals on the helpfulness of your site.

Google’s documentation says:

“Any content—not just unhelpful content—on sites determined to have relatively high amounts of unhelpful content overall is less likely to perform well in Search, assuming there is other content elsewhere from the web that’s better to display.

For this reason, removing unhelpful content could help the rankings of your other content.”

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Google has struggled to find a way to communicate a precise meaning of helpful content but has answered questions about the helpful content system, and more guidance may be coming.

In the meantime, remember that “helpful” depends on many different circumstances, so intent is becoming a critical part of keyword research.

As you’ll hear, it also seems that the scope of “helpful” goes beyond the immediate impact and quality of the words on a page.

Assessing the unique value of your site as a whole and how authoritatively you speak to broad topics may be necessary to succeed as helpful content continues to expand.

If I had to summarize this article’s insights in three sentences, they would be:

  • Google evaluates the value and helpfulness of your entire site, so make sure your website has clear and unique value.
  • Engage with generative AI and understand how it works before you try to fight it.
  • “Expertise” will be a key differentiating factor – insights and original data attributed to authors with names.

Your Whole Site Must Be Helpful

Adam Riemer, President, Adam Riemer Marketing, LLC

SEO Experts On Helpful Content: It’s Bigger Than You Think

The helpful content update is more than your content; you must ensure your entire site is helpful to the user, not just each piece of content you publish.

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That is something many marketers are getting wrong as we move into 2024.

Unlike past systems and algorithms, helpful content looks at your site as a whole. One great piece of helpful content might not cut it. Are all of your other pages helpful and user-friendly?

Or, do you have many legacy pages with poor experience and thin content: giant hero images, irrelevant shopping lists, and broken links?

Instead of taking the word “content” literally, think about making your entire site helpful. This should benefit all channels, not just SEO.


Prove Your Alternate Site Versions Have Unique Value

Dan Taylor, Partner & Head of Technical SEO, SALT.agency

SEO Experts On Helpful Content: It’s Bigger Than You ThinkSEO Experts On Helpful Content: It’s Bigger Than You Think

I believe Google’s focus on “helpful quality content” will begin to extend further and impact websites with alternate versions.

International websites with the same value proposition across multiple alternate site versions (e.g., English language for the U.S., Canada, and the UK, but only changing currency and regional spelling differences) will see hreflang and canonical tags ignored.

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Many international website structures have been set up to reflect offline business hierarchies or to “channel leads” to the correct SDR teams.

The internet and hreflang don’t always neatly reflect the offline business, and the synergy achieved is frequently clunky and challenging to manage.

Provide value propositions to give Google a reason to invest resources into the alternate versions of your site.

Improve the unique value offered by each. You may also need to discuss how you structure the international alternates of the website and how lead handling is performed so the right teams get suitable leads.


Effective Content Comes From Actual People Demonstrating Real Insight

Mordy Oberstein, Head of SEO Brand, Wix

SEO Experts On Helpful Content: It’s Bigger Than You ThinkSEO Experts On Helpful Content: It’s Bigger Than You Think

We often need to pay more attention to the impact of broader content trends on SEO.

Our gospel is the algorithm, which sometimes means we don’t consider what’s outside of it.

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However, we well should. In hindsight, it’s not an accident that Google added an extra “E” for experience to E-E-A-T. It didn’t pull it out of a hat; it saw the broader content trends where folks are looking to actual people for content versus static brands.

Google’s machine learning properties, such as RankBrain, make it possible for Google to look at its quite large dataset to observe content consumption trends and act on them.

Situational Content

One trend I would get ahead of that aligns with Google’s focus on expertise and experience is what I’m coining “situational content.”

Situational content attempts to predict the various outcomes of any advice or the like offered within the content to present the next logical steps. If, for example, a piece of content provides advice about how to get a baby to sleep through the night, it would then offer the next steps if that advice didn’t work.

This is “situational” – if X doesn’t work, you might want to try Y.

Situational content creates a compelling form of content I see more frequently. It does a few things for the reader:

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  • It addresses them and their needs directly.
  • It’s more conversational than standard content (an emerging content trend itself).
  • To predict various outcomes and situations, you have to actually know what you’re talking about.

That latter point directly addresses E-E-A-T. You can only predict and address secondary situations with expertise and experience.

Most of all, situational content indicates to the user that a real person, not a large language model (LLM), wrote it.

It’s the kind of content that simply can’t be created by AI for various reasons.

Not the least of which is the ability to offer detailed advice, all while keeping the tone that situational-based content intrinsically lends itself towards – conversational, authoritative, and expert.

Because of all this, I would be on the lookout for Google rewarding “situational content” to a far greater degree as time passes.


Generative AI Sets The Bar Your Content Must Beat

Patrick Stox, Product Advisor & Technical SEO, Ahrefs

SEO Experts On Helpful Content: It’s Bigger Than You ThinkSEO Experts On Helpful Content: It’s Bigger Than You Think

Don’t fake experience. Add genuine value yourself or ask others for input.

The bar for content creation will be even higher.

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For years, just rewriting content was likely enough to rank a page, and many SEO professionals and writers did just that.

But with generative AI making it easier than ever to create content, you will have to do more than you’ve been doing.

Find ways to add additional value.

I like to think of content the same way I would a product and take an iterative approach.

I can add a specific section, expand on a section with more details, add a key point, summarize something better, tell a personal story, or add additional insights from my own knowledge.

For a product comparison page, I might add pricing, reviews, pros and cons, personal experiences with each product, unique photos, or breakdowns by different categories.

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You also need to inject your experience and expertise.

Your ability to add new knowledge to a topic will become more important as it becomes easier to create generic content.

If you don’t have that knowledge, find and interview someone who does. Ask them to review the content and check for any mistakes or add their insights and stories.


Generative AI Will Be An Essential SEO Skill, But Not A Replacement For Expertise

Shelley Walsh, SEO Content Strategist, Search Engine Journal

SEO Experts On Helpful Content: It’s Bigger Than You ThinkSEO Experts On Helpful Content: It’s Bigger Than You Think

The areas to watch in early 2024 are generative AI and Search Generative Experience (SGE).

Instead of focusing on what SGE could take away (clicks), we need to focus on what Google is trying to achieve and remember they need content and clicks as much as we do.

Right now, Google is experimenting with the SGE search engine results page (SERP) panel, like a featured snippet on steroids. And like featured snippets, as SEO professionals, we can adapt and work with how the information is displayed in the SERP.

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We survived featured snippets and can evolve to work with generative AI and not against it.

Firstly, understand that SGE is not an entirely AI-generated information panel. SGE collects the best results in the SERP and then uses AI to create a combined summary of those results.

For SEO, it is more important than ever to be in those top results so that you will be included in SGE. It also means being the source of data and information and providing unique and valuable concepts and content.

This is the challenge in a post-generative AI world.

Google is still experimenting with how SGE will integrate into the SERP.

SGE’s function and appearance will likely keep changing as Google finds the right balance between intent and clicks. It’s important to remember that Google doesn’t want to destroy its own business model!

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The clues to show us the way are already there. Consider the helpful content update. Google is driving towards content demonstrating first-hand experience – an author must show exceptional knowledge, expertise, and authority. I’m sure that sounds familiar. (E-E-A-T, anyone?)

The demand for thought leaders and skilled experts is increasing – your ability to demonstrate thorough research and provide unique data is essential for good content.

How Generative AI Tools Will Impact Content Production

Getting the best out of tools like ChatGPT and Gemini (formerly Bard) requires sophisticated prompting. Out of the box, generative AI is not user-friendly for a novice.

It’s like trying to make a cup of tea with a firehose. It’s too intelligent right now for us to handle and grasp.

To get the best results from an AI tool, train it to be self-aware of its mistakes and knowledge gaps. Use a two-way dialogue feedback loop – layer and chain prompts by feeding the results back into the AI to continue refining.

AI is a fantastic assistant. Use it to support your day-to-day productivity.

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The creative possibilities of ChatGPT are exponential, and we are still far from fully harnessing the potential.

For example, creating infographics, sorting data into tables, summarizing thoughts, creating transcripts, finding inconsistencies in reports, scanning vast tracts of data, and so on.

AI perfectly complements your knowledge and creativity, so treat it as such. Don’t fall into the trap of thinking AI can do the role of SEO for you.

Expertise and experience are still needed to operate the machine to get the best results.

The essential skill to develop in SEO is integrating generative AI across your workflow’s layers for maximum efficiency. AI development is not unlike the early days of computers in industry.

At first, people tried to use it like a typewriter until they pushed the edges to realize the capacity, such as spreadsheets and graphical representations.

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AI is the same process of development, so keep pushing the boundaries.

Don’t forget that AI cannot replace ideas and creativity. As humans, driving the machine is where we can still add value.

More resources:


Featured Image: Paulo Bobita/Search Engine Journal

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Google Declares It The “Gemini Era” As Revenue Grows 15%

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A person holding a smartphone displaying the Google Gemini Era logo, with a blurred background of stock market charts.

Alphabet Inc., Google’s parent company, announced its first quarter 2024 financial results today.

While Google reported double-digit growth in key revenue areas, the focus was on its AI developments, dubbed the “Gemini era” by CEO Sundar Pichai.

The Numbers: 15% Revenue Growth, Operating Margins Expand

Alphabet reported Q1 revenues of $80.5 billion, a 15% increase year-over-year, exceeding Wall Street’s projections.

Net income was $23.7 billion, with diluted earnings per share of $1.89. Operating margins expanded to 32%, up from 25% in the prior year.

Ruth Porat, Alphabet’s President and CFO, stated:

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“Our strong financial results reflect revenue strength across the company and ongoing efforts to durably reengineer our cost base.”

Google’s core advertising units, such as Search and YouTube, drove growth. Google advertising revenues hit $61.7 billion for the quarter.

The Cloud division also maintained momentum, with revenues of $9.6 billion, up 28% year-over-year.

Pichai highlighted that YouTube and Cloud are expected to exit 2024 at a combined $100 billion annual revenue run rate.

Generative AI Integration in Search

Google experimented with AI-powered features in Search Labs before recently introducing AI overviews into the main search results page.

Regarding the gradual rollout, Pichai states:

“We are being measured in how we do this, focusing on areas where gen AI can improve the Search experience, while also prioritizing traffic to websites and merchants.”

Pichai reports that Google’s generative AI features have answered over a billion queries already:

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“We’ve already served billions of queries with our generative AI features. It’s enabling people to access new information, to ask questions in new ways, and to ask more complex questions.”

Google reports increased Search usage and user satisfaction among those interacting with the new AI overview results.

The company also highlighted its “Circle to Search” feature on Android, which allows users to circle objects on their screen or in videos to get instant AI-powered answers via Google Lens.

Reorganizing For The “Gemini Era”

As part of the AI roadmap, Alphabet is consolidating all teams building AI models under the Google DeepMind umbrella.

Pichai revealed that, through hardware and software improvements, the company has reduced machine costs associated with its generative AI search results by 80% over the past year.

He states:

“Our data centers are some of the most high-performing, secure, reliable and efficient in the world. We’ve developed new AI models and algorithms that are more than one hundred times more efficient than they were 18 months ago.

How Will Google Make Money With AI?

Alphabet sees opportunities to monetize AI through its advertising products, Cloud offerings, and subscription services.

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Google is integrating Gemini into ad products like Performance Max. The company’s Cloud division is bringing “the best of Google AI” to enterprise customers worldwide.

Google One, the company’s subscription service, surpassed 100 million paid subscribers in Q1 and introduced a new premium plan featuring advanced generative AI capabilities powered by Gemini models.

Future Outlook

Pichai outlined six key advantages positioning Alphabet to lead the “next wave of AI innovation”:

  1. Research leadership in AI breakthroughs like the multimodal Gemini model
  2. Robust AI infrastructure and custom TPU chips
  3. Integrating generative AI into Search to enhance the user experience
  4. A global product footprint reaching billions
  5. Streamlined teams and improved execution velocity
  6. Multiple revenue streams to monetize AI through advertising and cloud

With upcoming events like Google I/O and Google Marketing Live, the company is expected to share further updates on its AI initiatives and product roadmap.


Featured Image: Sergei Elagin/Shutterstock

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brightonSEO Live Blog

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brightonSEO Live Blog

Hello everyone. It’s April again, so I’m back in Brighton for another two days of sun, sea, and SEO!

Being the introvert I am, my idea of fun isn’t hanging around our booth all day explaining we’ve run out of t-shirts (seriously, you need to be fast if you want swag!). So I decided to do something useful and live-blog the event instead.

Follow below for talk takeaways and (very) mildly humorous commentary. 

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Google Further Postpones Third-Party Cookie Deprecation In Chrome

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Close-up of a document with a grid and a red stamp that reads "delayed" over the word "status" due to Chrome's deprecation of third-party cookies.

Google has again delayed its plan to phase out third-party cookies in the Chrome web browser. The latest postponement comes after ongoing challenges in reconciling feedback from industry stakeholders and regulators.

The announcement was made in Google and the UK’s Competition and Markets Authority (CMA) joint quarterly report on the Privacy Sandbox initiative, scheduled for release on April 26.

Chrome’s Third-Party Cookie Phaseout Pushed To 2025

Google states it “will not complete third-party cookie deprecation during the second half of Q4” this year as planned.

Instead, the tech giant aims to begin deprecating third-party cookies in Chrome “starting early next year,” assuming an agreement can be reached with the CMA and the UK’s Information Commissioner’s Office (ICO).

The statement reads:

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“We recognize that there are ongoing challenges related to reconciling divergent feedback from the industry, regulators and developers, and will continue to engage closely with the entire ecosystem. It’s also critical that the CMA has sufficient time to review all evidence, including results from industry tests, which the CMA has asked market participants to provide by the end of June.”

Continued Engagement With Regulators

Google reiterated its commitment to “engaging closely with the CMA and ICO” throughout the process and hopes to conclude discussions this year.

This marks the third delay to Google’s plan to deprecate third-party cookies, initially aiming for a Q3 2023 phaseout before pushing it back to late 2024.

The postponements reflect the challenges in transitioning away from cross-site user tracking while balancing privacy and advertiser interests.

Transition Period & Impact

In January, Chrome began restricting third-party cookie access for 1% of users globally. This percentage was expected to gradually increase until 100% of users were covered by Q3 2024.

However, the latest delay gives websites and services more time to migrate away from third-party cookie dependencies through Google’s limited “deprecation trials” program.

The trials offer temporary cookie access extensions until December 27, 2024, for non-advertising use cases that can demonstrate direct user impact and functional breakage.

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While easing the transition, the trials have strict eligibility rules. Advertising-related services are ineligible, and origins matching known ad-related domains are rejected.

Google states the program aims to address functional issues rather than relieve general data collection inconveniences.

Publisher & Advertiser Implications

The repeated delays highlight the potential disruption for digital publishers and advertisers relying on third-party cookie tracking.

Industry groups have raised concerns that restricting cross-site tracking could push websites toward more opaque privacy-invasive practices.

However, privacy advocates view the phaseout as crucial in preventing covert user profiling across the web.

With the latest postponement, all parties have more time to prepare for the eventual loss of third-party cookies and adopt Google’s proposed Privacy Sandbox APIs as replacements.

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Featured Image: Novikov Aleksey/Shutterstock

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