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Google Allows FAQ Markup for Non-FAQ Content

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Google’s John Mueller answered a question about FAQ structured data that significantly expanded the kinds of content that FAQ structured data can be applied to, which now includes content that isn’t even in the FAQ format.

FAQ Structured Data

FAQ (Frequently Asked Questions) is a type of content format that consists of answers with questions. It’s meant to be a resource for site visitors who have questions.

FAQ content can be in the format of an entire page of questions and answers or a short section of a page that consists of a question and answer format.

Publishers typically add an FAQ section to a web page.

A benefit of using the FAQ format is that it can result in doubling or even tripling the amount of space that is occupied by your search result listing.

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That not only makes a search presence more visible but it also knocks a competitor or two off the first page of the search results.

Lastly, the FAQ structured data can be used in web forum content, which can result in receiving an enhanced listing in Google.

John Mueller Explaining How to Use of FAQ Structured Data

John Mueller explaining where FAQ structured data can be used

Up until Mueller answered this question, those two content scenarios were the only kind where FAQ structured data was known to be applicable:

  1. FAQ Content Format
  2. Web Forums

The question asked want to know if it’s okay to use the FAQ structured data outside of the traditional FAQ content format, where a section of a page is labeled FAQ and a series of questions and answers are listed.

It’s a good question because the use of this kind of structured data outside of FAQ and forum settings is not addressed at all in Google’s FAQ structured data guidelines.

Google’s guidelines specifically recommends this structured data for FAQ Pages:

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“A Frequently Asked Question (FAQ) page contains a list of questions and answers pertaining to a particular topic. Properly marked up FAQ pages may be eligible to have a rich result on Search”

Is it Okay to Use FAQ Structured Data Outside of FAQ Content Format?

This is the question that was asked:

“Is it okay to use the FAQ schema to mark up questions and answers that appear in different sections of a blog post that aren’t formatted as a traditional FAQ list?

For example, a post maybe has ten headings for different sections. A few of those are questions with answers.”

Google’s John Mueller answered:

“So I double-checked the official documentation, that’s where I recommend you go for these kinds of questions as well, and it looks like it’s fine.

The important part when it comes to FAQ snippets and structured data in general is that the content should be visible on the page.

So it should really be the case that both the question and the answer is visible when someone visits that page, not that it’s kind of hidden away in a section of a page.

But if the questions and the answers are visible on the page, even if they’re in different places on the page, that’s perfectly fine.”

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Structured Data Does Not Guarantee Enhanced Listings

At this point John Mueller could have dropped the mic and moved on to the next question because his answer dramatically expands the contexts of where the FAQ structured data can be applied.

However he continued his answer to provide more information about structured data in general.

Mueller continued:

“The other thing to keep in mind is that like all structured data, FAQ snippets are not guaranteed to be shown in the search results.

Essentially you make your pages eligible to have these FAQ snippets shown.

But it doesn’t guarantee that they will be shown.

So, you can use the testing tool to make sure that everything is implemented properly.

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And if the testing tool says that’s okay, then probably you’re on the right track.

But you will probably still have to kind of wait and see how Google actually interprets your pages and processes them to see what is actually shown in the search results.

And for structured data, I think it’s the case for FAQ, but at least for some of the other types, there are specific reports in Search Console as well that give you information on the structured data that was found and the structured data that was actually shown in the search results so that you can kind of roughly gauge, is it working the way that you want it to or is it not working the way that you want it to.

And for things like this, I would recommend trying them out and making a test page on your website, kind of seeing how things end up in the search results, double checking if it’s really what you want to do, and then going off to actually implement it across the rest of your website.”

Structured Data Quality Guidelines

Something Mueller didn’t mention but bares mentioning is that there are quality guidelines for structured data.

There are many rules to know in order to avoid receiving a manual action penalty.

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One in particular is the rule against using content that is not on the web page.

Publishers who abuse structured data by inserting content that is not visible to users can be subject to a manual action.

So whatever is put in the FAQ structured data should exactly match what is on the web page itself.

Google’s Structured Data quality guidelines cautions:

“Violating a quality guideline can …possibly cause it to be marked as spam.

Don’t mark up content that is not visible to readers of the page. For example, if the JSON-LD markup describes a performer, the HTML body must describe that same performer.”

Citations

Read Google’s FAQ Structured Data Documentation

Mark up your FAQs with structured data

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Read Google’s Structured Data Guidelines

General structured data guidelines

Watch the Google Office-hours Hangout

Watch John Mueller answer the question at the 05:18 minute mark:

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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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