1.9.17

Google: Duplicate Content Elimination

There is a number of interesting questions and answers around how Google handles removing or hiding or filtering duplicate content from the search results. Does it happen during the indexing process or during the query process or both?

Gary Illyes from Google said on Twitter that the topic might be worth doing a blog post on, and I think he or someone at Google should. Duplicate content is a topic that is always on the mind of webmasters, publishers and SEOs and a topic we have covered here probably over a hundred times.

Understanding how Google handles duplicate content, duplication, etc throughout their search engine process, from indexing to serving search results - can be useful.

So far, this is what Gary Illyes said on the topic:

So you see, there is a process for Google to handle it while indexing but also potentially during the query process. Note how he also wrote &filter=1 which is how you show search results that are similar to other search results in the Google search results page.

This would be a very technical and interesting topic for Google to cover and this post is encouraging it.

Forum discussion at Twitter.



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Google Kills Preferred Site Name Schema Markup

It looks like Google has removed one of their previously documented structured data markups from their developer docs. Specifically, they have removed the Preferred Site Name option, it now 404s when you try to access it, but for now, the cached version is still available.

You were able to structured data markup on your official website to indicate the preferred name you want Google Search to display in Search results. But they removed the documentation, so does that mean Google will no longer support this markup?

Aaron Bradley first spotted this and posted it on Google+ yesterday saying "looks like "Preferred site name" is no longer supported by Google."

I asked John Mueller about it on Google+, but have not yet heard back if this is just an error or something Google has fully stopped supporting.

Here is a screen shot of the old document:

click for full size

Forum discussion at Google+.



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Hey Google. I Want Vegetables That Start With A, Not C!

Google, you got it wrong! I want [vegetables that start with a] not [vegetables that start with c] so why when I ask for A are you giving me C?

That is what some Reddit users are asking themselves. Here is a screen shot of the result both on desktop and mobile:

click for full size

Patrick Stox said on Twitter that Google needs to get their RankBrain in order. But is it RankBrain?

Either way, this is just one of many many examples where Google gets their featured snippets or search results wrong.

Forum discussion at Reddit and Twitter.



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Google: Noopener & Noreferrer Attributes Don't Hurt Your Search Rankings

Dawn Anderson asked Google's John Mueller if using the noreferrer or noopener attributes can hurt your Google rankings and SEO. The answer John responded with was "nope." So there you have it, feel free to use those attributes without worry.

A Noreferrer specifies that the browser should not send a HTTP referrer header if the user follows the hyperlink.

A Noopener instructs the browser not to send referer information along with header. Technically, it just nullify the object window.opener.

Both do not impact Google, so feel free to use it.

Forum discussion at Twitter.



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Nooglers First Day At Google's European HQ

Nooglers First Day At Google's European HQ

Here is a photo I spotted on Instagram from the Google European headquarters where a bunch of Nooglers, new Googlers, are celebrating their first week at Google. Yes, they have to wear those crazy hats. That is a lot of new hires in one week for one location but hey, progress.

This post is part of our daily Search Photo of the Day column, where we find fun and interesting photos related to the search industry and share them with our readers.



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What does Web 3.0 mean for search?

The signs of fundamental change are all around us.

Digital assistants reside within our living rooms, we consume Internet-based services everywhere, and we are creating data every second of the day.

A sense pervades of being constantly connected through devices that communicate with each other. The experience of using the Internet is therefore markedly different to what it was 10 years ago.

What we don’t quite have is a universally accepted label for this era of digital development.

The phrase “Web 3.0” was first coined back in 2006. Viewed by some industry insiders back then as an “unobtainable dream“, the idea of Web 3.0 has remained elusive.

However, as technology catches up and the tech giants figure out ways to make sense of the reams of unstructured data we create every second, the dream seems much more obtainable than ever before. In fact, many argue it is already a reality.

So what exactly is Web 3.0? What makes it so different from Web 2.0? And what do marketers need to do today to prepare for this revolution?

What is Web 3.0?

This is a more contentious question than it might at first seem. Many opinions exist on the topic, but the general consensus is that Web 3.0 ushers in an entirely new way of creating websites, of interacting with them, and of utilizing the data that these interactions generate.

Techopedia’s definition contains a clear depiction of how big this change is:

“Web 3.0 will be a complete reinvention of the web, something that Web 2.0 was not. Web 2.0 was simply an evolution from the original Web.”

Web 1.0 was essentially a repository of information that people could read passively, without being able to shape the information or add their own. The move to Web 2.0 was given concrete shape in everyday aspects of online life, such as submitting product reviews on Amazon or launching a personal blog. People were to become very active participants online, whether on social media or on reputable news sites.

Web_2.0

An overhaul in how the Web functions is necessary, if we look at the raw statistics. Global Internet traffic has passed one zettabyte (that’s one trillion gigabytes); over 4 billion people will have Internet access by 2020; over 60,000 searches are performed on Google every second.

All that data creates possibilities, albeit only if we are equipped to harness them. We imagine hyper-personalized, fluid, targeted online interactions between brands and consumers, but bringing this idea to fruition is a very complex logistical task.

By converting unstructured data into structured data (simple updates like Schema.org have helped with this), and by ensuring all databases communicate with each other in the same language, lots of new opportunities arise.

Robots talking

Put succinctly, Web 3.0 will allow us to make sense of all the data that digital devices create.

It can be seen as a Web that thinks for itself, rather than just following commands.

This is built on a decentralized, secure platform that allows much more privacy for consumers than they currently have.

It is easy to spot some threads within this narrative: the use of artificial intelligence, the potential for a blockchain-based solution for storing and sharing data, and the evolution of the semantic web to provide personalized experiences.

We can summarize our definition by identifying five key factors that set Web 3.0 apart from its earlier incarnation:

Artificial intelligence

AI will be used in every walk of life to carry out computational tasks humans are incapable of completing. It will also make decisions for us, whether in driverless cars or in our digital marketing strategies.

Virtual & augmented reality 

Brands are tapping into the possibilities these technologies bring, providing an entirely new way of connecting that goes far beyond what a static screen can provide.

The semantic web

By finally understanding the data each individual creates, technology companies can gain insight into context. This has been a significant push for Google for some time, particularly with the respective launches of Hummingbird and RankBrain. The aim is to go beyond the dictionary definition of each word and comprehend what consumers are using phrases to mean at that particular moment.

Internet of things 

A true defining feature of Web 3.0 is the proliferation of Internet of Things (IoT) ‘smart’ devices. Examples such as Amazon Echo are well-known, but there are plans to add Internet connectivity to every aspect of our lives.

Seamless connectivity

Until now, data has been stored in various formats and communication between data sets can be challenging. Web 3.0 really comes into its own when data exchanges are seamless and ubiquitous.

This is achieved when Internet-connected devices are omnipresent, from the home to the workplace and everywhere in between; but those devices need to be able to communicate with each other. When that happens, the digital assistant in your car can ask the fridge if you’re out of milk and if so, to order some from Amazon.

How will Web 3.0 change online interactions?

The way we source information and find products is still far from frictionless. For example, consider the planning of an upcoming holiday. We could buy a package deal and that would remove a lot of the administrative tasks, but it would be far from a tailored product.

In reality, most of us will search for deals on flights, research hotels, read travel guides, and talk to people who have been to the destination before via social media.

Google holiday

That is a vast improvement on the holiday-booking process pre-Internet. However, Web 3.0 will take this much further.

Instead of conducting multiple searches in different places, one prompt would be sufficient to pull together all the relevant information. To take our holiday example, we could say to an Internet connected device, “I’m looking for a holiday in Italy later this year with the family, what are my options?” The digital assistant will then dip into its vast interconnected list of databases to retrieve relevant information and organize it, based on your query and provide the best options in one interface.

Everything from flights to meals to cultural attractions will be pulled together into a truly personalized list of recommendations.

How will Web 3.0 affect search marketing?

The example above provides a clear indication of how much things are changing. Optimizing title tags for a higher click-through rate won’t really cut it when an AI-powered digital assistant is bypassing these signals to identify the right content to answer a query.

Search marketers’ focus should shift towards understanding the different preferences of their user base and creating multimedia content that responds to this. As people become more comfortable with using voice-based digital assistants, we can expect search trends to move away from the likes of [italy holidays 2017] and towards more specific, long-tail queries.

Searcher behaviors are deeply entrenched and slow to change, but they do change. Recent research from Google showed the drop-off in “near me” queries as users come to expect that results will be local, without adding a geo-modifier.

Google near me

Added to August’s news that Microsoft’s speech recognition system has reached a new accuracy milestone, we get a sense that these long-heralded changes are finally coming to pass. Voice search is on the rise, mobile device usage shows no use of relenting, and search engines are using this data to create better interactions.

Search marketers need to keep up. The first step is to ensure that all content is clearly labeled for search engines. Microdata can be used to achieve this and Schema.org mark-up remains just as vital as it has been for the past few years.

The core objective when we create new content should be to facilitate its serving to users, no matter where they are or which device they are using. Keyword targeting still matters, but we need to maintain a more nuanced idea of what our consumers really mean.

Google’s Quick Answers initiative is a particularly telling development in this sense. On the face of it, it seems a rather innocuous and helpful change, but at a deeper level it tells us a lot more. We are moving away from screen-based interfaces that provide lots of choices; consumers want the right answer to their query.

Performance measurement will continue to change, of course. The idea of tracking keyword level ranking positions remains attractive, but its use as an accurate barometer of how a site is performing has waned significantly. SEO goals should be much more closely aligned to business objectives, which can only be a healthy development.

We are moving into an age of flux, where the comforting-but-illusory constants of old are replaced by shifting and slippery notions of ‘meaning’ and context’. Those that are ready to adapt soonest will profit most.

Web 3.0: What do search marketers need to know?

  • Web 3.0 will change how people search, how search engines process their queries, and how results are displayed. These changes have been in process for years now, but they are starting to have tangible impacts on how we find information online.
  • This is driven by improvements in how search engines understand the meaning of queries by harnessing huge amounts of unstructured data and transforming it into something structured and significant.
  • Web 3.0 will also bring with it a new way of creating digital assets. The old ideas of creating a static website will be replaced by hyper-personalized experiences that vary in their messaging and their media formats.
  • AI-powered digital assistants are starting to usher in new behaviors. What search marketers should focus on is creating the right digital assets for their consumers and ensuring that any search engine can locate and serve this content as seamlessly as possible.


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4 Steps to Performing a Social Media Content Audit

Conducting a social media content audit is an important part of a social media marketing plan, as it reveals strengths and weaknesses of the activity you are carrying out across your marketing channels.

  • First, it allows you to identify the effective content that shows your audience is engaged.

  • Second, it shows your competitors’ successful content, that you can incorporate across your platforms.

  • Last, it helps to identify what kind of content is not engaging your users and therefore should be optimised or dropped.

Let’s go through the 4 steps below which explain how to perform a social media content audit:

1. Identify the right platforms

Identifying which platforms are the ones you should really focus is the very first step in the audit, allowing you to stop wasting resources on improving content on channels that are not relevant for your industry.

But, how can you know which channels to focus on when there is an overabundance of options out there?

Demographics

First, you need to ask yourself: who is my target audience? Being able to link the social media channels’ audience to your brand’s audience is essential as this will make sure that you’re reaching the right people at the right time.

In case you are not sure about social media demographics, take a look at this great infographic published by Social Media Today which will show you all the major social platforms’ audiences.  

For instance, if your brand targets women it is more than likely that you should optimise your Pinterest account. Or, if your audience is under 25 years old, you might want to improve your content on Snapchat.

Competitors

As important as analysing the social channels your audience uses is looking at the social media accounts your competitors are managing.

Check this by simply visiting their websites and searching for social media icons. Then, visit those profiles and see where they’re active by looking at the number of followers, post frequency and whether there is user engagement.

2. Measure engagement

After identifying the key social media platforms for which you should optimise your content for you need to measure organic metrics in order to understand how much engagement these channels are generating.

You can either:

  • Use a tool that pulls in the insights for all of the networks you are on simultaneously.

With True Social Metrics (you can request a free trial) you can see the most important engagement stats for all of the major social media channels.

Compare the metrics of your channels within the same dashboard.  Source: True Social Metrics.

First, take a look at the “Posts” metric to find out how active you are on your channels. If you are not posting regularly this may be the reason for your low levels of user engagement rather than low-quality content.  If your “Posts” metric is low, think about setting up a posting schedule plan.

Then, you should check user engagement metrics to understand if your content is generating engagement on your platforms: take a look at the number of likes, shares, comments, mentions, video views.  By doing this,  you will discover the most and least effective social networks for your brand.

The next step is to try to find patterns in both groups: why on the most effective social networks does the content work? Why on the least effective social networks does the content not work?

3. Classify and analyse your content.

With Buffer, you can find the most and least successful type of content on Facebook, Twitter, Google+, LinkedIn, Pinterest and Instagram and export the data to an Excel file so you can analyse it.  

Select the social platform you want to review first,  go to the analytics section and choose a date range.

To find any patterns on the content that is generating major engagement, filter your posts by “Most Popular”. Repeat the same process by clicking on the “Least Popular” tab so you can find patterns on the content that is not generating engagement.

You can filter your content by the “Most Popular” to find out what is generating engagement.

Have you found anything in common with the content that is working? Or anything in common with content that isn’t?

You may discover that certain topics are recurrent under the “Most Popular” tab and other under the “Least Popular” tab.

Focus on those successful topics, now that you know they are generating engagement, and create more content related to it.

To find out which type of posts (images, links, text, videos) are generating engagement, select your “Most Popular” posts and filter by “Image Posts”, “Video Posts”,  “Link Posts”, “Text Posts”, etc. within the “All Posts” tab. Repeat the process changing to the “Least Popular” option as we did above so you can discover the types of posts that are not generating engagement.

Buffer lets you filter your content by type to discover which one is  the generating the major engagement.

If you find out that the most popular content is video, consider creating more of this type of content for your platform. Likewise, if you discover that text posts are not engaging at all you should think more about putting this aside and posting other types that are more successful.

Are there similarities with the content that works and the content that does not work across platforms?

It may happen that some topics and type of posts work well on some channels and on others don’t. This is the reason why you should perform content analysis across all your key channels before coming to the decision on getting rid of a topic or type of post.

4. Identify your competitors’ successful content.

It is also key for a successful social media content audit to look at what your competitors are doing, to identify areas of opportunity to improve your social strategy.

In order to analyse your competitors’ social media channels, you can use Fanpage Karma (they currently have a free 14-day trial).

Go to the “Dashboard” tab, select the channel you want to analyse first, and add your competitors’ homepage URLs. The tool will find the social media channel associated with the website.

Compare all your competitor’s profiles by channel.

Within the “Dashboard” section, click on the “Analysis” tab and filter by the competitor you want to start analysing.

Or, you can analyse all competitors together if you want to discover who has the best content among them, rather than analysing one competitor at a time which can be time-consuming.

You will see their most engaging content based on many metrics, including Top Pictures, Top Videos, Top Links, Top Hashtags, Top Words and Type of Posts, among others.

Top Pics and Top Videos from your competitors

Find out which types of posts are used most often for your competitors

For Facebook, you can also analyse your competitors’ reaction metrics (wow, haha, angry, sad. etc).

Have you spotted any content from your competitors that could be an opportunity for you? What kind of content are they posting? Images, quotes, gifs, blog posts? Which is the most successful?

See what kind of content is generating the different Facebook reactions

Once you have identified your competitors’ most engaging content, compare it to your content and find topics or type of posts that you may be missing. If that happens, you should think about incorporating them into your social media strategy plan.

Discussion

Have you performed a social media content audit before? Which tools and metrics do you use?

What other factors do you think should be taken into account when conducting a social media content audit?

Leave a comment and let us know!

 



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