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Is Reading Level A Google Ranking Factor?

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Is Reading Level A Google Ranking Factor?

Every SEO professional knows content is king. And not all content is created equal.

But does your content’s readability affect how Google ranks you in search results?

There are a lot of misconceptions about this. But what exactly is readability?

If you’ve done any content creation, there’s a good chance you’ve come across readability tools like the popular Yoast SEO WordPress plugin before. These valuable tools evaluate your copy and generate statistics such as passive voice, paragraph length, subheads, and transitions.

And included in this analysis is Flesch Reading Ease (FRE). FRE is a scale between one and 100, with 100 being the easiest to read and one being incomprehensibly dense.

For example, this piece scored 59 on the FRE scale, which puts it at a ninth-grade reading level. This score takes two variables into account: word length and sentence length. Generally, longer words and sentences will lower your FRE score.

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While content that is easier to read will perform better with visitors, what about with search engines? How much do you need to focus on improving readability to secure a high ranking?

Let’s take a look.

And if you have questions about other ranking factors, download the Google Ranking Factors: Fact Or Fiction ebook for the whole story.

The Claim: Reading Level As A Ranking Factor

In 2010, Google added a short-lived “reading level” filter to its advanced search function. But the idea that readability affects search engine rankings has been around a lot longer than that.

And the rise of Google’s machine learning models BERT and MUM, which aim to understand language and content quality, seem to hint that it’s still important.

But what’s the truth? Should you be obsessed with turning all those red and orange circles on your reading analysis green? Will eliminating passive sentences and adjusting your vocabulary to a sixth-grade level send your page rocketing to the top of search engine results?

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The Evidence Against Readability As A Ranking Factor

Despite claims to the contrary, reading level does not factor into your search ranking. Google’s Senior Webmaster Trends Analyst John Mueller confirmed this in a 2018 Google Webmaster Hangout:

“From an SEO point of view, it’s probably not something that you need to focus on, in the sense that, as far as I know, we don’t have kind of these basic algorithms that just count words and try to figure out what the reading level is based on these existing algorithms.

But it is something that you should figure out for your audience.”

FRE is a basic score with just two variables, so this makes sense.

To verify this, Portent ran a study analyzing the reading level of more than 750,000 pieces of content for 30,000 desktop search queries. This study found no correlation between Google search ranking and a page’s reading level.

So, SEO professionals can just disregard FRE, right?

No.

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Readability has an impact on user experiences, and that plays an ever-increasing role in SEO. If visitors to your website struggle to read and understand your content, they’re more likely to leave.

Challenging-to-read pieces are also much less likely to have incoming links directed to them, which is an essential ranking factor.

To quote John Mueller’s hangout again:

 “A common example is a medical site. You want to provide medical information for the general public because you know they’re worried about this. And all of your articles use these medical words that are 20 characters long. Technically, it’s all correct.

You could calculate the reading level score of that content. You come up with a number.

But it’s not a matter of Google using that reading level score and saying, this is good or bad. But rather, does it match what the people are searching for? And, if nobody’s searching for those long words, then nobody’s going to find your content. Or, if they do find your content, they’re going to be like… I don’t know what this means.”

So, it would seem that while your content’s reading level can have some effect on your ranking, it’s not a ranking factor.

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Our Verdict: Reading Level Is Not A Ranking Factor

While not a confirmed ranking factor, the reading level is critical to content strategy. Every audience has different preferences regarding the complexity and reading level of content.

Write For Your Audience

The key to successful web content is usefulness. To rank highly, you must demonstrate that your webpage answers a search query better than anyone else.

And the way to do this is by understanding your audience.

For example, suppose you’re trying to promote a company that sells electron microscopes. In that case, you can probably get away with using a more sophisticated vocabulary than if you were selling mudflaps.

Just be careful to avoid talking down to your audience, which will alienate them as quickly as using $10,000 words.

Writing good content is a skill that every SEO professional would do well to cultivate. Adapting your writing to a specific reading level isn’t a ranking factor, but using words that don’t resonate with your audience will always be a problem.

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Got other questions about what is and isn’t a ranking factor? Download the Google Ranking Factors: Fact Or Fiction ebook.


Featured Image: Paulo Bobita/Search Engine Journal

Ranking Factors: Fact Or Fiction? Let’s Bust Some Myths! [Ebook]

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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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