Pay Attention to These SEO Trends in 2020 and Beyond

Posted by Suganthan-Mohanadasan

Without a doubt, it is our job as SEOs to keep an eye on the future and anticipate what Google is planning, testing, or looking to drop on our doorsteps. Over the past 12 months alone, we have seen several changes in Google Search — each impacting how we plan, implement, and report on campaigns.

In this article, I will take a look at what is in store for SEO in 2020 and how these factors will change the way we formulate strategies throughout the next year and beyond.

Artificial intelligence will continue to evolve

Over the past half-decade, artificial intelligence has become a pioneering force in the evolution of SEO.

In 2015, for example, we were introduced to RankBrain -- the machine-based search algorithm that helps Google push more relevant results to users. Although RankBrain is coming up on its fifth birthday, we are only now catching early glimpses into how artificial intelligence will dominate SEO in the coming years.

The most recent step in this progression of artificial learning is, of course, the introduction of Bidirectional Transformers for Language Understanding (BERT), which Google announced at the end of October. For those who missed it, BERT is Google’s neural network-based technique for natural language processing, and it’s important because it deals with the very fundamentals of how people search. Google itself says that the algorithm represents “the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search.”

Affecting one in ten searches, BERT gives Google a better understanding of how language is used and helps it comprehend the context of individual words within searches. The important thing to know about BERT (and also RankBrain), is the fact that you cannot optimize for it.

There's nothing to optimize for with BERT, nor anything for anyone to be rethinking. The fundamentals of us seeking to reward great content remain unchanged.

— Danny Sullivan (@dannysullivan) October 28, 2019

But what does this mean for SEOs?

BERT is just one signal of how Google understands language, but it is one of the most important in the search engine’s arsenal. This means that now more than ever, webmasters and SEOs alike must focus their efforts on creating the most useful, natural, and highest-quality content. Quite simply, as Danny Sullivan says, “write content for users.”

It’s also worth understanding how BERT interprets questions, which you can find out more about in the Whiteboard Friday episode below.

Voice search is here to stay

It’s hard to imagine at the dawn of 2020, but when voice search was released in 2012 many assumed it would be just another project consigned to the ever-growing Google graveyard.

Today, however, we know so much more about the technology and, thanks to schema.org, where it is likely to go in the future. The adoption rate is slower than predicted, but it has nevertheless leaked into our lives, so we must not completely ignore voice search.

Schema markup

A new form of markup is released nearly every month, with one of the latest developments being markup for movies. Although this might seem insignificant, the fact that we are now seeing markup for films shows just how granular and far-reaching structured data has come.

With smart speakers now numbering 120 million in the US alone, webmasters should be taking the time to investigate where schema can be placed on their website so they can take advantage of the 35.6 million voice search demands taking place every month. What’s more, website markup has a monumental influence on featured snippets, which can be highly lucrative for any website. Take a look at this Moz guide for more information on how voice search influences featured snippets.

Speakable

If you’re in the US, it’s also worth noting that Speakable (BETA) is used by Google Assistant to answer people’s questions about specific topics. The assistant can return up to three relevant articles and provide audio playback using text-to-speech markup. Implementing such a markup can be highly lucrative for news sites, because when the assistant provides an answer, it also attributes the source and sends the full article URL to the user's mobile device. If you’re a news site that publishes in English but doesn’t yet have Speakable markup implemented, you can read up on both the technical considerations and content requirements necessary for eligibility.

Google Actions

Actions on Google, a development platform for Google Assistant, is also worth your consideration. It allows the third-party development of "actions" — applets for Google Assistant that provide extended functionality. Actions can be used to get things done by integrating your content and services with the Google Assistant.

Actions allow you to do a number of things:

• Build Actions to ensure Google Assistant uses your apps
• Allow users to search for and engage with your app
• Provide your app as a recommendation for user queries

Check out this fantastic article by Andrea Vopini about how to optimize your content using Google assistant.

Google is heavily invested in using entities

Entities aren’t something that you hear SEOs talking about every day, but they are something Google is putting a lot of resources into. Put simply, Google itself states that entities are “a thing or concept that is singular, unique, well-defined, and distinguishable.”

Entities don’t have to be something physical, but can be something as vague as an idea or a color. As long as it is either singular, unique, distinguishable, or well-defined, it is an entity.

As you can see, Moz shows up in the knowledge panel because the company is an entity. If you search the Google Knowledge Graph API for the company name, you can see how Google understands them:

But what does this mean for SEOs?

In 2015, Google submitted a patent named “Ranking Search Results Based On Entity Metrics,” which is where the above entity description is sourced from. Although few patents are worth getting excited about, this one caused a stir in the technical SEO scene because it takes machine learning to an entirely new level and allows Google to accurately calculate the probability of user intent, thus giving it an understanding of both user language and tone. What’s more, entities place a reduced reliance on links as a ranking factor, and depending on what your SEO strategy is, that could result in the need for big campaign changes.

The most important aspect you will need to consider is how Google understands the entities on your website.

For example, if your site sells shoes, you need to think about how many different types, colors, sizes, brands, and concepts exist for your shoes. Each shoe will represent a different entity, which means you must consider how to frame each product so that it meets the expectations of users as well as the learning capabilities of Google — which is where we meet markup once again.

Sites themselves can also become entities, and that provides huge rewards as they appear in the Knowledge Panel, which I will discuss next.

The knowledge panel will be important for personalities and brands

Although Google’s Knowledge Graph was launched way back in 2012, its expansion since then means it is still a core part of the search matrix and one that will reach far into the next decade.

Closely tied with featured snippets and rich results, earlier last year Google began allowing entities to claim their own knowledge panel, giving them access to edit and control the information presented to users in search results. They can make specific requests, such as changing the featured image, panel title, and social profiles provided within the panel.

The benefits of claiming your knowledge panel are numerous. They help users gain quick access to your site, which thanks to the Knowledge Graph, displays trust and authority signals. Knowledge panels also provide brands and personalities with the ability to control what objective information is shown to users. However, there are still many brands that have yet to claim their own panels.

You can claim your business’s knowledge panel in a few easy steps:

1. Ensure that your website is verified with Search Console.
2. Update your panel by suggesting a change to Google.

But what does this mean for SEOs?

As you can see from the above examples, being in the Knowledge Graph can improve trust and add authenticity to your business or personal brand, as well as providing additional visibility. But it's easier said than done. 

Unless you're a recognized, famous person or brand, claiming space in the Knowledge Graph is going to be difficult. Having a Wikipedia page can be enough, but I don't recommend creating pages just to get there — it will get deleted and waste your effort. Instead, build brand mentions and authority around your name gradually. While having a wikidata page can be helpful, it’s not guaranteed. The goal is to get Google to recognize you as a notable person or brand.

Queryless proactive predictive search is getting better

Google Discover was released in June of 2017, prompting a new kind of search altogether — one that is queryless. Discover is an AI-driven content recommendation tool and claims 80 million active users.

Using the aforementioned Knowledge Graph, Google added an extra layer called the Topic Layer, which is engineered to understand how a user’s interest develops over time (this article by the University of Maryland offers an in-depth explanation of topic layers and models).

By understanding the many topics a user is interested in, Discover identifies the most accurate content to deliver from an array of websites.

But what does this mean for SEOs?

To appear in Discover, Google states that pages appear “if they are indexed by Google and meet Google News content policies. No special tags or structured data are required.” It ranks content based on an algorithm that inspects the quality of content alongside the interests of the user and the topic of the page in question. The exact formula is unknown, however, based on several studies and experiments we now have a pretty good idea of how it works.

This screenshot from a presentation by Kenichi Suzuki highlights some of the factors that help pages appear in Discover.

According to Google, there are two ways to boost the performance of your content within Discover:

1. Post interesting content
2. Use high-quality images

As ever, ensure that you generate high quality content that is unique and creates a great experience for users. If your site tends to publish clickbait articles, the chance of those articles appearing in Discover is low.

Other tips for appearing in Discover would be to arrange your content semantically so that Google finds it easier to understand your work, and ensure that your website is technically proficient.

Like any form of search, you can use Google Search Console to see how well your articles are performing in Discover. You can find Discover stats under the performance section.

Google Discover analytics data is fairly new, and therefore limited. There isn't currently a native way to segment this traffic inside Google Analytics. To track user behavior data, this article provides a technique to track it inside Google Analytics.

We have yet to see the biggest changes in visual image Search

It could be argued that the biggest change to image search happened in September 2018 when Google Lens rolled out. Not only did featured videos begin appearing in image search, but AMP stories and new ranking algorithms and tags were also released.

But while speaking at a Webmaster Meetup in New York last year, John Mueller shared that there will be major changes in image search in the coming year. Rather than merely viewing images, very soon people will use itto accomplish goals, purchase products, and learn new information.

Google has always said that images should be properly optimized and marked, so if you have not started to add such data or information to your images, now is definitely the time to start.

In the past six months alone we have seen Google introduce small changes such as removing the “view image” function, as well as colossal changes, such as totally revamping image search for Desktop.

Furthermore, people don’t even have to search within it to see images anymore. It's common for the SERP to present a universal search result, which encompasses images, videos, maps, news, and shopping listings. The opportunity to appear in a universal (or blended) result is just another reason why properly tagged and marked images are so important.

Finally, Google has added visual image search attributes to search results. The interesting thing with this update is that these attributes are now available as image carousels within the main search results.

But what does this mean for SEOs?

With so much to play with, webmasters and SEOs should consider how they can take advantage of such changes, which could prove potentially very lucrative for the right sites — especially when you consider that 35% of Google product searches return transactions in as little as five days.

E-A-T doesn’t apply to every site — but it still matters

E-A-T (Expertise, Authoritativeness, Trustworthiness) is something every SEO should know back to front, but remember:

• E-A-T isn’t a ranking factor
• E-A-T is critical for Your Money or Your Life (YMYL) topics and pages

Although these two statements might seem contradictory, they make more sense when you consider what Google defines as YMYL.

According to Google’s Rater Guidelines, YMYL is a page or topic that “could potentially impact a person’s future happiness, health, financial stability, or safety.” This means that if your page has information that could potentially change a person’s life, it is considered YMYL and offering E-A-T is important. If your site is merely your personal collection of cat pictures, then showcasing authority or expertise is less critical.

But what does this mean for SEOs?

The issue, however, is that the majority of websites (and certainly the ones invested in SEO) are generally going to have YMYL pages or topics, but Google is taking big steps to ensure that low quality or questionable YMYL content is weeded out. As you might know, you can’t optimize for E-A-T because it isn’t an algorithm, but you can implement changes to make sure your site sends the right kind of quality signals to Google. This Moz article by Ian Booth and this guide by Lily Ray offer great tips for how to do that.

Topics and semantics over keywords

Google is putting less priority on both links and keywords, which is where topic modeling and semantics come into the conversation.

Google has become very clever at understanding what a user is searching for based on just a few basic words. This is thanks, in part, to topic modeling (as Google itself admitted in September 2018 when it introduced its “topic layer”). Indeed, this algorithm has a deep understanding of semantics and yearns to provide users with deep troves of information.

But what does this mean for SEOs?

This means that it has never been more important to create high quality, in-depth, and meaningful content for users — but you also need to think about information structure.

For example, if your site sells running shoes, you could create long-form educational pieces about how to choose shoes for specific running environments, athletic diets for runners, or tech accessory reviews. These articles could then be clustered into various topics. By clustering your topics into compartments through your website architecture, both users and crawlers can easily navigate and understand the content provided.

Studies have also shown that Google’s crawlers prefer pages with semantic groupings and sites that are designed around topic modeling. This 2018 presentation by Dawn Anderson gives a brilliant insight into this. If you want to know more about topic modeling and semantic connectivity, check out this Whiteboard Friday by Rand Fishkin.

SERPs will continue to evolve

Over the past couple of years, we’ve seen search results evolve and transform like never before. In fact, they have changed so much that, in some cases, being placed first within the organic search results may not be the most lucrative position.

This is something that would have been unthinkable just a few short years ago (check out this Moz article from 2018) that works to quell the panic from zero position SERPs).

With the introduction of Voice Search, rich results, rich snippets, knowledge panels, Google My Business, and updated Image Search results, SEOs now need to consider a whole new range of technical marketing strategies to appear in a multitude of organic search results.

It’s hard to know where Google is taking SERPs in the next year, but it is fair to say the strategies we use today for the search environment will likely be outdated in as little as six months.

Take, for example, the recent addition and subsequent removal of favicons in the SERPs; after backlash, Google reversed the change, proving we can never predict which changes will stick and which are blips on the radar.

But what does this mean for SEOs?

Ensure that your strategies are flexible and constantly prepare for changes in both your business sector (if you do not work within SEO) and the constantly evolving search environment. Pay attention to the seasonality of searches and use tools such as Google Trends to cover any out-of-season deficit that you may encounter.

You can use tools like Moz Keyword Explorer to help plan ahead and to create campaigns and strategies that provide useful traffic and lucrative conversions.

Conclusion

SEOs need to move away from the ideology that links and traditional search results should be priorities for an organic campaign. Although both still carry weight, without investment in technical strategy or willingness to learn about entities or semantic connectivity, no SEO campaign can reach its full potential.

The world of SEO in 2020 is bright and exciting, but it will require more investment and intelligent strategy than ever before.

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SEO for 2020 - Whiteboard Friday

Posted by BritneyMuller

It's a brand-new decade, rich with all the promise of a fresh start and new beginnings. But does that mean you should be doing anything different with regards to your SEO?

In this Whiteboard Friday, our Senior SEO Scientist Britney Muller offers a seventeen-point checklist of things you ought to keep in mind for executing on modern, effective SEO. You'll encounter both old favorites (optimizing title tags, anyone?) and cutting-edge ideas to power your search strategy from this year on into the future.

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to another edition of Whiteboard Friday. Today we are talking about SEO in 2020. What does that look like? How have things changed?

Do we need to be optimizing for favicons and BERT? We definitely don't. But here are some of the things that I feel we should be keeping an eye on. 

☑ Cover your bases with foundational SEO

Titles, metas, headers, alt text, site speed, robots.txt, site maps, UX, CRO, Analytics, etc.

To cover your bases with foundational SEO will continue to be incredibly important in 2020, basic things like title tags, meta descriptions, alt, all of the basic SEO 101 things.

There have been some conversations in the industry lately about alt text and things of that nature. When Google is getting so good at figuring out and knowing what's in an image, why would we necessarily need to continue providing alt text?

But you have to remember we need to continue to make the web an accessible place, and so for accessibility purposes we should absolutely continue to do those things. But I do highly suggest you check out Google's Visual API and play around with that to see how good they've actually gotten. It's pretty cool.

☑ Schema markup

FAQ, Breadcrumbs, News, Business Info, etc.

Schema markup will continue to be really important, FAQ schema, breadcrumbs, business info. The News schema that now is occurring in voice results is really interesting. I think we will see this space continue to grow, and you can definitely leverage those different markup types for your website. 

☑ Research what matters for your industry!

Just to keep in mind, there's going to be a lot of articles and research and information coming at you about where things are going, what you should do to prepare, and I want you to take a strategic stance on your industry and what's important in your space.

While I might suggest page speed is going to be really important in 2020, is it for your industry? We should still worry about these things and still continue to improve them. But if you're able to take a clearer look at ranking factors and what appears to be a factor for your specific space, you can better prioritize your fixes and leverage industry information to help you focus.

☑ National SERPs will no longer be reliable

You need to be acquiring localized SERPs and rankings.

This has been the case for a while. We need to localize search results and rankings to get an accurate and clear picture of what's going on in search results. I was going to put E-A-T here and then kind of cross it off.

A lot of people feel E-A-T is a huge factor moving forward. Just for the case of this post, it's always been a factor. It's been that way for the last ten-plus years, and we need to continue doing that stuff despite these various updates. I think it's always been important, and it will continue to be so. 

☑ Write good and useful content for people

While you can't optimize for BERT, you can write better for NLP.

This helps optimize your text for natural language processing. It helps make it more accessible and friendly for BERT. While you can't necessarily optimize for something like BERT, you can just write really great content that people are looking for.

☑ Understand and fulfill searcher intent, and keep in mind that there's oftentimes multi-intent

One thing to think about this space is we've kind of gone from very, very specific keywords to this richer understanding of, okay, what is the intent behind these keywords? How can we organize that and provide even better value and content to our visitors? 

One way to go about that is to consider Google houses the world's data. They know what people are searching for when they look for a particular thing in search. So put your detective glasses on and examine what is it that they are showing for a particular keyword.

Is there a common theme throughout the pages? Tailor your content and your intent to solve for that. You could write the best article in the world on DIY Halloween costumes, but if you're not providing those visual elements that you so clearly see in a Google search result page, you're never going to rank on page 1.

☑ Entity and topical integration baked into your IA

Have a rich understanding of your audience and what they're seeking.

This plays well into entities and topical understanding. Again, we've gone from keywords and now we want to have this richer, better awareness of keyword buckets. 

What are those topical things that people are looking for in your particular space? What are the entities, the people, places, or things that people are investigating in your space, and how can you better organize your website to provide some of those answers and those structures around those different pieces? That's incredibly important, and I look forward to seeing where this goes in 2020. 

☑ Optimize for featured snippets

Featured snippets are not going anywhere. They are here to stay. The best way to do this is to find the keywords that you currently rank on page 1 for that also have a featured snippet box. These are your opportunities. If you're on page 1, you're way more apt to potentially steal or rank for a featured snippet.

One of the best ways to do that is to provide really succinct, beautiful, easy-to-understand summaries, takeaways, etc., kind of mimic what other people are doing, but obviously don't copy or steal any of that. Really fun space to explore and get better at in 2020. 

☑ Invest in visuals

We see Google putting more authority behind visuals, whether it be in search or you name it. It is incredibly valuable for your SEO, whether it be unique images or video content that is organized in a structured way, where Google can provide those sections in that video search result. You can do all sorts of really neat things with visuals. 

☑ Cultivate engagement

This is good anyway, and we should have been doing this before. Gary Illyes was quoted as saying, "Comments are better for on-site engagement than social signals." I will let you interpret that how you will.

But I think it goes to show that engagement and creating this community is still going to be incredibly important moving forward into the future.

☑ Repurpose your content

Blog post → slides → audio → video

This is so important, and it will help you excel even more in 2020 if you find your top-performing web pages and you repurpose them into maybe be a SlideShare, maybe a YouTube video, maybe various pins on Pinterest, or answers on Quora.

You can start to refurbish your content and expand your reach online, which is really exciting. In addition to that, it's also interesting to play around with the idea of providing people options to consume your content. Even with this Whiteboard Friday, we could have an audio version that people could just listen to if they were on their commute. We have the transcription. Provide options for people to consume your content. 

☑ Prune or improve thin or low-quality pages

This has been incredibly powerful for myself and many other SEOs I know in improving the perceived quality of a site. So consider testing and meta no-indexing low-quality, thin pages on a website. Especially larger websites, we see a pretty big impact there. 

☑ Get customer insights!

This will continue to be valuable in understanding your target market. It will be valuable for influencer marketing for all sorts of reasons. One of the incredible tools that are currently available by our Whiteboard Friday extraordinaire, Rand Fishkin, is SparkToro. So you guys have to check that out when it gets released soon. Super exciting. 

☑ Find keyword opportunities in Google Search Console

It's shocking how few people do this and how accessible it is. If you go into your Google Search Console and you export as much data as you can around your queries, your click-through rate, your position, and impressions, you can do some incredible, simple visualizations to find opportunities.

For example, if this is the rank of your keywords and this is the click-through rate, where do you have high click-through rate but low ranking position? What are those opportunity keywords? Incredibly valuable. You can do this in all sorts of tools. One I recommend, and I will create a little tutorial for, is a free tool called Facets, made by Google for machine learning. It makes it really easy to just pick those apart. 

☑ Target link-intent keywords

A couple quick link building tactics for 2020 that will continue to hopefully work very, very well. What I mean by link-intent keywords is your keyword statistics, your keyword facts.

These are searches people naturally want to reference. They want to link to it. They want to cite it in a presentation. If you can build really great content around those link-intent keywords, you can do incredibly well and naturally build links to a website. 

☑ Podcasts

Whether you're a guest or a host on a podcast, it's incredibly easy to get links. It's kind of a fun link building hack. 

☑ Provide unique research with visuals

Andy Crestodina does this so incredibly well. So explore creating your own unique research and not making it too commercial but valuable for users. I know this was a lot.

There's a lot going on in 2020, but I hope some of this is valuable to you. I truly can't wait to hear your thoughts on these recommendations, things you think I missed, things that you would remove or change. Please let us know down below in the comments, and I will see you all soon. Thanks.

Video transcription by Speechpad.com

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Google's January 2020 Core Update: Has the Dust Settled?

Posted by Dr-Pete

On January 13th, MozCast measured significant algorithm flux lasting about three days (the dotted line shows the 30-day average prior to the 13th, which is consistent with historical averages) ...

That same day, Google announced the release of a core update dubbed the January 2020 Core Update (in line with their recent naming conventions) ...

On January 16th, Google announced the update was "mostly done," aligning fairly well with the measured temperatures in the graph above. Temperatures settled down after the three-day spike ...

It appears that the dust has mostly settled on the January 2020 Core Update. Interpreting core updates can be challenging, but are there any takeaways we can gather from the data?

How does it compare to other updates?

How did the January 2020 Core Update stack up against recent core updates? The chart below shows the previous four named core updates, back to August 2018 (AKA "Medic") ...

While the January 2020 update wasn't on par with "Medic," it tracks closely to the previous three updates. Note that all of these updates are well above the MozCast average. While not all named updates are measurable, all of the recent core updates have generated substantial ranking flux.

Which verticals were hit hardest?

MozCast is split into 20 verticals, matching Google AdWords categories. It can be tough to interpret single-day movement across categories, since they naturally vary, but here's the data for the range of the update (January 14–16) for the seven categories that topped 100°F on January 14 ...

Health tops the list, consistent with anecdotal evidence from previous core updates. One consistent finding, broadly speaking, is that sites impacted by one core update seem more likely to be impacted by subsequent core updates.

Who won and who lost this time?

Winners/losers analyses can be dangerous, for a few reasons. First, they depend on your particular data set. Second, humans have a knack for seeing patterns that aren't there. It's easy to take a couple of data points and over-generalize. Third, there are many ways to measure changes over time.

We can't entirely fix the first problem — that's the nature of data analysis. For the second problem, we have to trust you, the reader. We can partially address the third problem by making sure we're looking at changes both in absolute and relative terms. For example, knowing a site gained 100% SERP share isn't very interesting if it went from one ranking in our data set to two. So, for both of the following charts, we'll restrict our analysis to subdomains that had at least 25 rankings across MozCast's 10,000 SERPs on January 14th. We'll also display the raw ranking counts for some added perspective.

Here are the top 25 winners by % change over the 3 days of the update. The "Jan 14" and "Jan 16" columns represent the total count of rankings (i.e. SERP share) on those days ...

If you've read about previous core updates, you may see a couple of familiar subdomains, including VeryWellHealth.com and a couple of its cousins. Even at a glance, this list goes well beyond healthcare and represents a healthy mix of verticals and some major players, including Instagram and the Google Play store.

I hate to use the word "losers," and there's no way to tell why any given site gained or lost rankings during this time period (it may not be due to the core update), but I'll present the data as impartially as possible. Here are the 25 sites that lost the most rankings by percentage change ...

Orbitz took heavy losses in our data set, as did the phone number lookup site ZabaSearch. Interestingly, one of the Very Well family of sites (three of which were in our top 25 list) landed in the bottom 25. There are a handful of healthcare sites in the mix, including the reputable Cleveland Clinic (although this appears to be primarily a patient portal).

What can we do about any of this?

Google describes core updates as "significant, broad changes to our search algorithms and systems ... designed to ensure that overall, we’re delivering on our mission to present relevant and authoritative content to searchers." They're quick to say that a core update isn't a penalty and that "there’s nothing wrong with pages that may perform less well." Of course, that's cold comfort if your site was negatively impacted.

We know that content quality matters, but that's a vague concept that can be hard to pin down. If you've taken losses in a core update, it is worth assessing if your content is well matched to the needs of your visitors, including whether it's accurate, up to date, and generally written in a way that demonstrates expertise.

We also know that sites impacted by one core update seem to be more likely to see movement in subsequent core updates. So, if you've been hit in one of the core updates since "Medic," keep your eyes open. This is a work in progress, and Google is making adjustments as they go.

Ultimately, the impact of core updates gives us clues about Google's broader intent and how best to align with that intent. Look at sites that performed well and try to understand how they might be serving their core audiences. If you lost rankings, are they rankings that matter? Was your content really a match to the intent of those searchers?

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The Dirty Little Featured Snippet Secret: Where Humans Rely on Algorithmic Intervention [Case Study]

Posted by brodieclarkconsulting

I recently finished a project where I was tasked to investigate why a site (that receives over one million organic visits per month) does not rank for any featured snippets.

This is obviously an alarming situation, since ~15% of all result pages, according to the MozCast, have a featured snippet as a SERP feature. The project was passed on to me by an industry friend. I’ve done a lot of research on featured snippets in the past. I rarely do once-off projects, but this one really caught my attention. I was determined to figure out what issue was impacting the site.

In this post, I detail my methodology for the project that I delivered, along with key takeaways for my client and others who might be faced with a similar situation. But before I dive deep into my analysis: this post does NOT have a fairy-tale ending. I wasn’t able to unclog a drain that resulted in thousands of new visitors.

I did, however, deliver massive amounts of closure for my client, allowing them to move on and invest resources into areas which will have a long-lasting impact.

Confirming suspicions with Big Data

Now, when my client first came to me, they had their own suspicions about what was happening. They had been advised by other consultants on what to do.

They had been told that the featured snippet issue was stemming from either:

1. An issue relating to conflicting structured data on the site

OR

2. An issue relating to messy HTML which was preventing the site from appearing within featured snippet results

I immediately shut down the first issue as a cause for featured snippets not appearing. I’ve written about this topic extensively in the past. Structured data (in the context of schema.org) does NOT influence featured snippets. You can read more about this in my post on Search Engine Land.

As for the second point, this is more close to reality, yet also so far from it. Yes, HTML structure does help considerably when trying to rank for featured snippets. But to the point where a site that ranks for almost a million keywords but doesn’t rank for any featured snippets at all? Very unlikely. There’s more to this story, but let’s confirm our suspicions first.

Let’s start from the top. Here’s what the estimated organic traffic looks like:

Note: I’m unable to show the actual traffic for this site due to confidentiality. But the monthly estimation that Ahrefs gives of 1.6M isn’t far off.

Out of the 1.6M monthly organic visits, Ahrefs picks up on 873K organic keywords. When filtering these keywords by SERP features with a featured snippet and ordering by position, you get the following:

I then did similar research with both Moz Pro using their featured snippet filtering capabilities as well as SEMrush, allowing me to see historical ranking.

All 3 tools displaying the same result: the site did not rank for any featured snippets at all, despite ~20% of my client's organic keywords including a featured snippet as a SERP feature (higher than the average from MozCast).

It was clear that the site did not rank for any featured snippets on Google. But who was taking this position away from my client?

The next step was to investigate whether other sites are ranking within the same niche. If they were, then this would be a clear sign of a problem.

An “us” vs “them” comparison

Again, we need to reflect back to our tools. We need our tools to figure out the top sites based on similarity of keywords. Here’s an example of this in action within Moz Pro:

Once we have our final list of similar sites, we need to complete the same analysis that was completed in the previous section of this post to see if they rank for any featured snippets.

With this analysis, we can figure out whether they have featured snippets displaying or not, along with the % of their organic keywords with a featured snippet as a SERP feature.

The next step is to add all of this data to a Google Sheet and see how everything matches up to my client's site. Here’s what this data looks like for my client:

I now need to dig deeper into the sites in my table. Are they really all that relevant, or are my tools just picking up on a subset of queries that are similar?

I found that from row 8 downwards in my table, those sites weren’t all that similar. I excluded them from my final dataset to keep things as relevant as possible.

Based on this data, I could see 5 other sites that were similar to my clients. Out of those five sites, only one had results where they were ranking within a featured snippet.

80% of similar sites to my client's site had the exact same issue. This is extremely important information to keep in mind going forward.

Although the sample size is considerably lower, one of those sites has ~34% of search results that they rank for where they are unable to be featured. Comparatively, this is quite problematic for this site (considering the 20% calculation from my client's situation).

This analysis has been useful in figuring out whether the issue was specific to my client or the entire niche. But do we have guidelines from Google to back this up?

Google featured snippet support documentation

Within Google’s Featured Snippet Documentation, they provide details on policies surrounding the SERP feature. This is public information. But I think a very high percentage of SEOs aren’t aware (based on multiple discussions I’ve had) of how impactful some of these details can be.

For instance, the guidelines state that: 

"Because of this prominent treatment, featured snippet text, images, and the pages they come from should not violate these policies." 

They then mention 5 categories:

1. Sexually explicit
2. Hateful
3. Violent
4. Dangerous and harmful
5. Lack consensus on public interest topics

Number five in particular is an interesting one. This section is not as clear as the other four and requires some interpretation. Google explains this category in the following way:

"Featured snippets about public interest content — including civic, medical, scientific, and historical issues — should not lack well-established or expert consensus support."

And the even more interesting part in all of this: these policies do not apply to web search listings nor cause those to be removed.

It can be lights out for featured snippets if you fall into one of these categories, yet you can still be able to rank highly within the 10-blue-link results. A bit of an odd situation.

Based on my knowledge of the client, I couldn’t say for sure whether any of the five categories were to blame for their problem. It was sure looking like it was algorithmic intervention (and I had my suspicions about which category was the potential cause).

But there was no way of confirming this. The site didn’t have a manual action within Google Search Console. That is literally the only way Google could communicate something like this to site owners.

I needed someone on the inside at Google to help.

The missing piece: Official site-specific feedback from Google

One of the most underused resources in an SEOs toolkit (based on my opinion), are the Google Webmaster Hangouts held by John Mueller.

You can see the schedule for these Hangouts on YouTube here and join live, asking John a question in person if you want. You could always try John on Twitter too, but there’s nothing like video.

You’re given the opportunity to explain your question in detail. John can easily ask for clarification, and you can have a quick back-and-forth that gets to the bottom of your problem.

This is what I did in order to figure out this situation. I spoke with John live on the Hangout for ~5 minutes; you can watch my segment here if you’re interested. The result was that John gave me his email address and I was able to send through the site for him to check with the ranking team at Google.

I followed up with John on Twitter to see if he was able to get any information from the team on my clients situation. You can follow the link above to see the full piece of communication, but John’s feedback was that there wasn't a manual penalty being put in place for my client's site. He said that it was purely algorithmic. This meant that the algorithm was deciding that the site was not allowed to rank within featured snippets.

And an important component of John’s response:

If a site doesn’t rank for any featured snippets when they're already ranking highly within organic results on Google (say, within positions 1–5), there is no way to force it to rank.

For me, this is a dirty little secret in a way (hence the title of this article). Google’s algorithms may decide that a site can’t show in a featured snippet (but could rank #2 consistently), and there's nothing a site owner can do.

...and the end result?

The result of this, in the specific niche that my client is in, is that lots of smaller, seemingly less relevant sites (as a whole) are the ones that are ranking in featured snippets. Do these sites provide the best answer? Well, the organic 10-blue-links ranking algorithm doesn’t think so, but the featured snippet algorithm does.

This means that the site has a lot of queries which have a low CTR, resulting in considerably less traffic coming through to the site. Sure, featured snippets sometimes don’t drive much traffic. But they certainly get a lot more attention than the organic listings below:

Based on the Nielsen Norman Group study, when SERP features (like featured snippets) were present on a SERP, they found that they received looks in 74% of cases (with a 95% confidence interval of 66–81%). This data clearly points to the fact that featured snippets are important for sites to rank within where possible, resulting in far greater visibility.

Because Google’s algorithm is making this decision, it's likely a liability thing; Google (the people involved with the search engine) don’t want to be the ones to have to make that call. It’s a tricky one. I understand why Google needs to put these systems in place for their search engine (scale is important), but communication could be drastically improved for these types of algorithmic interventions. Even if it isn’t a manual intervention, there ought to be some sort of notification within Google Search Console. Otherwise, site owners will just invest in R&D trying to get their site to rank within featured snippets (which is only natural).

And again, just because there are categories available in the featured snippet policy documentation, that doesn’t mean that the curiosity of site owners is always going to go away. There will always be the “what if?”

Deep down, I’m not so sure Google will ever make this addition to Google Search Console. It would mean too much communication on the matter, and could lead to unnecessary disputes with site owners who feel they’ve been wronged. Something needs to change, though. There needs to be less ambiguity for the average site owner who doesn’t know they can access awesome people from the Google Search team directly. But for the moment, it will remain Google’s dirty little featured snippet secret.

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Measure Form Usage with Event Tracking - Whiteboard Friday

Posted by Matthew_Edgar

When it comes to the forms your site visitors are using, you need to go beyond completions — it's important to understand how people are interacting with them, where the strengths lie and what errors might be complicating the experience. In this edition of Whiteboard Friday, Matthew Edgar takes you through in-depth form tracking in Google Analytics. 

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Howdy, Moz fans. My name is Matthew Edgar. Welcome to another edition of Whiteboard Friday. I am an analytics consultant at Elementive, and in this Whiteboard Friday what I want to talk to you about are new ways that we can really start tracking how people are interacting with our forms.

I'm going to assume that all of you who have a form on your website are already tracking it in some way. You're looking at goal completions on the form, you're measuring how many people arrived on that page that includes the form, and what we want to do now is we want to take that to a deeper level so we can really understand how people are not just completing the form, but how they're really interacting with that form.

So what I want to cover are how people really interact with the form on your website, how people really interact with the fields when they submit the form, and then also what kind of errors are occurring on the form that are holding back conversions and hurting the experience on your site. 

1. What fields are used?

So let's begin by talking about what fields people are using and what fields they're really interacting with.

So in this video, I want to use just an example of a registration form. Pretty simple registration form. Fields for name, company name, email address, phone number, revenue, and sales per day, basic information. We've all seen forms like this on different websites. So what we want to know is not just how many people arrived on this page, looked at this form, how many people completed this form.

What we want to know is: Well, how many people clicked into any one of these fields? So for that, we can use event tracking in Google Analytics. If you don't have Google Analytics, that's okay. There are other ways to do this with other tools as well. So in Google Analytics, what we want to do is we want to send an event through every time somebody clicks or taps into any one of these fields.

On focus

So for that, we're going to send an on focus event. The category can be form. Action is interact. Then the label is just the name of the field, so email address or phone number or whatever field they were interacting with. Then in Google Analytics, what we'll be able to look at, once we drill into the label, is we'll be able to say, "Well, how many times in total did people interact with that particular field?"

GA report

So people interacted with the name field 104 times, the revenue field 89 times, sales per day 64 times, and phone number 59 times. Then we could go through all the other fields too to look at that. What this total information starts to give us is an idea of: Well, where are people struggling? Where are people having to really spend a lot of time? Then it also gives us an idea of the drop-off rate.

So we can see here that, well, 104 people interacted with the full name field, but only 89 made it down here to the revenue field. So we're losing people along the way. Is that a design issue? Is that something about the experience of interacting with this form? Maybe it's a device issue. We have a lot of people on mobile and maybe they can't see all of those fields. The next thing we can look at here is the unique events that are happening for each of those.

Unique events aren't exactly but are close enough to a general idea of how many unique people interacted with those fields. So in the case of the name field, 102 people interacted 104 times, roughly speaking, which makes sense. People don't need to go back to the name field and enter in their name again. But in the case of the revenue field, 47 unique interactions, 89 total interactions.

People are having to go back to this field. They're having to reconsider what they want to put in there. So we can start to figure out, well, why is that? Is that because people aren't sure what kind of answer to give? Are they not comfortable giving up that answer? Are there some trust factors on our site that we need to improve? If we really start to dig into that and look at that information, we can start to figure out, well, what's it going to take to get more people interacting with this form, and what's it going to take to get more people clicking that Submit button?

2. What fields do people submit?

The next thing that we want to look at here is what fields do people submit. Not just what do they interact with, but when they click that Submit button, which fields have they actually put information into? 

On submit

So for this, when people click that Submit button, we can trigger another event to send along to Google Analytics. In this case, the category is form, the action is submit, and then for the label what we want to do is we want to send just a list of all the different fields that people had put some kind of information in.

So there's a lot of different ways to do this. It really just depends on what kind of form you have, how your form is controlled. One easy way is you have a JavaScript function that just loops through your entire form and says, "Well, which of these fields have a value, have something that's not the default entry, that people actually did give their information to?" One note here is that if you are going to loop through those fields on your form and figure out which ones people interacted with and put information into, you want to make sure that you're only getting the name of the field and not the value of the field.

We don't want to send along the person's email address or the person's phone number. We just want to know that they did put something in the email address field or in the phone number field. We don't want any of that personally identifiable information ending up in our reports. 

Review frequency

So what we can do with this is we can look at: Well, how frequently did people submit any one of these fields?

So 53 submissions with the full name field, 46 with revenue, 42 with sales per day, etc. 

Compare by interact

The first thing we can do here is we can compare this to the interaction information, and we can say, "Well, there were 53 times that people submitted a field with the full name field filled out.But there are 102 people who interacted with that full name field."

That's quite the difference. So now we know, well, what kind of opportunity exists for us to clean this up. We had 102 people who hit this form, who started filling it out, but only 53 ended up putting in their full name when they clicked that Submit button. There's some opportunity there to get more people filling out this form and submitting.

Segment by source

The other thing we can do is we can segment this by source. The reason we would want to do that is we want to compare this to understand something about the quality of these submissions. So we might know that, well, people who give us their phone number, that tends to be a better quality submission on our form. Not necessarily. There are exceptions and edge cases to be sure.

But generally speaking, people who give us their phone number we know are better quality. So by segmenting by source, we can say, "Well, which people who come in from which source are more likely to give their phone number?" That gives us an idea of which source we might want to go after. Maybe that's a really good thing that your ad network is really driving people who fill out their phone number. Or maybe organic is doing a better job driving people to submit by giving you that information.

3. What fields cause problems?

The next thing we want to look at on our form is which errors are occurring. What problems are happening here? 

Errors, slips, mistakes

When we're talking about problems, when we're talking about errors, it's not just the technical errors that are occurring. It's also the user errors that are occurring, the slips, the mistakes that people are just naturally going to make as they work through your form.

Assign unique ID to each error

The easiest way to track this is every time an error is returned to the visitor, we want to pass an event along to Google Analytics. So for that, what we can do is we can assign a unique ID number to each error on our website, and that unique ID number can be for each specific error. So people who forgot a digit on a phone number, that's one ID number. People who forgot the phone number altogether, that's a different ID number. 

On return of error

When that error gets returned, we'll pass along the category is form, the action is error, and then the label is that unique ID number. 

Frequency of errors

The first thing we can look at is the frequency of how frequently each error occurs. So we can say, "Well, Error ID No. 1 occurred 37 times, and Error ID No. 2 occurred 26 times."

Segment by form completion

It starts to give us an idea of how to prioritize these errors. But the more interesting thing to look at is we want to segment by the form completion, and then we can compare these two. So we can say, "Okay, people who completed this form, how often did they get these errors?" So in this case, we can say, "Well, Error ID No. 1, 29 people got it, but 27 people who submitted this form got it."



That means pretty much everybody who got that error was able to move beyond the error and submit the form. It's not that big of a deal. It's not hurting the experience on our site all that much. It's not hurting conversions all that much. Error ID No. 4 though, 19 people got the error, but only 3 of the people who got that error were able to submit the form. Clearly whatever this ID is, whatever this error is, that's the one that's really hurting the experience on our site.

That's the one that's really going to hurt conversions. So by improving or figuring out why that error is occurring, then we can start to improve conversions on our site. I hope these ideas have given you some new ways to really track and understand how people are interacting with your forms at a deeper level.

I look forward to hearing your comments about different things you're doing on your forms, and certainly if you start using any of these ideas, what kind of insights you're gaining from them. Thank you.

Video transcription by Speechpad.com

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How to Scale Your Content Marketing: Tips from Our Journey to 100,000 Words a Month

Posted by JotFormmarketing

In the fall of 2018 our CEO had a simple yet head-exploding request of the JotForm marketing and growth teams: Produce 100,000 words of high-quality written content in a single month.

All types of content would count toward the goal, including posts on our own blog, help guides, template descriptions, and guest posts and sponsored articles on other sites.

In case you don’t think that sounds like a lot, 100,000 words is the length of a 400-page book. Produced in a single month. By a group of JotFormers who then numbered fewer than eight.

Why would on Earth would he want us to do all that?

My colleague and I trying to calculate how many blog posts it would take to reach 100,000 words.

It’s important to understand intent here. Our CEO, Aytekin, isn’t a crazy man. He didn’t send us on a mission just to keep us busy.

You see, for many months we’d dabbled with content, and it was working. Aytekin’s contributed posts in Entrepreneur magazine and on Medium were big hits. Our redesigned blog was picking up a lot of traction with the content we already had, and we were starting to understand SEO a lot better.

Still. Why would any software company need to produce that much content?

The answer is simple: infrastructure. If we could build a content engine that produces a high volume of quality content, then we could learn what works well and double down on creating great content. But in order to sustain success in content, we needed to have the pieces in place.

He allocated a sufficient budget and gave us the freedom to hire the staff we needed to make it happen. We were going to need it.

A full year later, I’m very proud to say we’ve officially crossed over the 100,000-word count in a single month [hold for applause].

However, it didn’t come without some painful learnings and mistakes.

Here’s what I figured out about scaling content through this process.

Develop a system early

Our old editorial calendar was a Google sheet. I started it back when JotForm was publishing one or two blogs per week and needed a way to keep it organized. It worked.

Back then, the only people who needed to view the editorial calendar were three people on the marketing staff and a couple of designers.

However, no spreadsheet on earth will be functional when you’re loading up 100,000 words. It’s too complicated. We discovered this right away.

After much discussion, we migrated our editorial workflow into Asana, which seemed like the closest thing to what we needed. It has a nice calendar view, the tagging functionality helped keep things orderly, and the board view gives a great overview of everyone’s projects.

This is where our marketing team lives.

Counterintuitively, we also use Trello, since it’s what our growth team had already been using to manage projects. Once the marketing team finishes writing a post, we send a request to our growth team designers to create banners for them using a form that integrates with their Trello board.

The system is intricate, but it works. We’d be lost if we hadn’t spent time creating it.

Style guides are your friends

Speaking of things to develop before you can really grow your content machine. Style guides are paramount to maintaining consistency, which becomes trickier and trickier the more writers you enlist to help you reach your content goals.

We consider our style guide to be a sort of living, ever-changing document. We add to it all the time.

It’s also the first thing that any legitimate writer will want to see when they’re about to contribute something to your site, whether they’re submitting a guest post, doing paid freelance work, or they’re your own in-house content writer.

Things to include in a basic style guide: an overview of writing style and tone, grammar and mechanics, punctuation particulars, product wording clarifications, and formatting.

Cheap writing will cost you, dearly

If you want cheap writing, you can find it. It’s everywhere — Upwork, Express Writers, WriterAccess. You name it, we tried it. And for less than $60 a blog post, what self-respecting marketing manager wouldn’t at least try it?

I’m here to tell you it’s a mistake.

I was thrilled when the drafts started rolling in. But our editor had other thoughts. It was taking too much time to make them good — nay, readable.

That was an oversight on my end, and it created a big bottleneck. We created such a backlog of cheap content (because it was cheap and I could purchase LOTS of it at a time) that it halted our progress on publishing content in a timely manner.

Instead, treat your freelance and content agencies as partners, and take the time to find good ones. Talk to them on the phone, exhaustively review their writing portfolio, and see if they really understand what you’re trying to accomplish. It’ll cost more money in the short term, but the returns are significant.

But good writing won’t mask subject ignorance

One thing to check with any content agency or freelancer you work with is their research process. The good ones will lean on subject matter experts (SMEs) to actually become authorities on the subjects they write about. It’s a tedious step, for both you and the writer, but it’s an important one.

The not-so-good ones? They’ll wing it and try to find what they can online. Sometimes they can get away with it, and sometimes someone will read your article and have this to say:

That was harsh.

But they had a point. While the article in question was well-written, it wasn’t written by someone who knew much about the subject at hand, which in this case was photography. Lesson learned. Make sure whoever you hire to write will take the time to know what they’re talking about.

Build outreach into your process

Let’s be real here. For 99.9 percent of you, content marketing is SEO marketing. That’s mostly the case with us as well. We do publish thought leadership and product-education posts with little SEO value, but a lot of what we write is published with the hope that it pleases The Google. Praise be.

But just publishing your content is never enough. You need links, lots of them.

Before I go any further, understand that there’s a right and a wrong way to get links back to your content.

Three guidelines for getting links to your content:

1. Create good content.

2. Find a list of reputable, high-ranking sites that are authorities on the subject you wrote about.

3. Ask them about linking or guest posting on their site in a respectful way that also conveys value to their organization.

That’s it. Don’t waste your time on crappy sites or link scams. Don’t spam people’s inboxes with requests. Don’t be shady or deal with shady people.

Create good content, find high-quality sites to partner with, and offer them value.

Successful content is a numbers game

One benefit to creating as much content as we have is that we can really see what’s worked and what hasn’t. And it’s not as easy to predict as you might think.

One of our most successful posts, How to Start and Run a Summer Camp, wasn’t an especially popular one among JotFormers in the planning stage, primarily because the topic didn’t have a ton of monthly searches for the targeted keywords we were chasing. But just a few months after it went live, it became one of our top-performing posts in terms of monthly searches, and our best in terms of converting readers to JotForm users.

Point being, you don’t really know what will work for you until you try a bunch of options.

You’ll need to hire the right people in-house

In a perfect world JotForm employees would be able to produce every bit of content we need. But that’s not realistic for a company of our size. Still, there were some roles we absolutely needed to bring in-house to really kick our content into high gear.

A few of our content hires from the past 12 months.

Here are some hires we made to build our content infrastructure:

Content writer

This was the first dedicated content hire we ever made. It marked our first real plunge into the world of content marketing. Having someone in-house who can write means you can be flexible. When last-minute or deeply product-focused writing projects come up, you need someone in-house to deliver.

Editor

Our full-time editor created JotForm’s style guide from scratch, which she uses to edit every single piece of content that we produce. She’s equal parts editor and project manager, since she effectively owns the flow of the Asana board.

Copywriters (x2)

Our smaller writing projects didn’t disappear just because we wanted to load up on long-form blog posts. Quite the contrary. Our copywriters tackle template descriptions that help count toward our goal, while also writing landing page text, email marketing messages, video scripts, and social media posts.

Content strategist

One of the most difficult components of creating regular content is coming up with ideas. I made an early assumption that writers would come up with things to write; I was way off base. Writers have a very specialized skill that actually has little overlap with identifying and researching topics based on SEO value, relevance to our audience, and what will generate clicks from social media. So we have a strategist.

Content operations specialist

When you aim for tens of thousands of words of published content over the course of a month, the very act of coordinating the publishing of a post becomes a full-time job. At JotForm, most of our posts also need a custom graphic designed by our design team. Our content operations specialist coordinates design assets and makes sure everything looks good in WordPress before scheduling posts.

SEO manager

Our SEO manager had already been doing work on JotForm’s other pages, but he redirected much of his attention to our content goals once we began scaling. He works with our content strategist on the strategy and monitors and reports on the performance of the articles we publish.

The payoff

JotForm’s blog wasn’t starting from scratch when Aytekin posed the 100,000-word challenge. It was already receiving about 120,000 organic site visitors a month from the posts we’d steadily written over the years.

A year later we receive about 230,000 monthly organic searches, and that’s no accident.

The past year also marked our foray into the world of pillar pages.

For the uninitiated, pillar pages are (very) long-form, authoritative pieces that cover all aspects of a specific topic in the hopes that search engines will regard them as a resource.

These are incredibly time-consuming to write, but they drive buckets full of visitors to your page.

We’re getting more than 30,000 visitors a month — all from pillar pages we’ve published within the last year.

To date, our focus on content marketing has improved our organic search to the tune of about 150,000 additional site visitors per month, give or take.

Conclusion

Content isn’t easy. That was the biggest revelation for me, even though it shouldn’t have been. It takes a large team of people with very specialized skills to see measurable success. Doing it at large scale requires a prodigious commitment in both money and time, even if you aren’t tasked with writing 100,000 words a month.

But that doesn’t mean you can’t find a way to make it work for you, on whatever scale that makes the most sense.

There really aren’t any secrets to growing your content engine. No magic recipe. It’s just a matter of putting the resources you have into making it happen.

Best of all, this post just gave us about 2,000 words toward this month’s word count goal.

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The True Value of Top Publisher Links

Posted by KristinTynski

I’m often asked about what results are earned through content marketing and digital PR.

So I decided to take a data-driven approach to quantifying the value of links from top-tier press mentions by looking at the aggregate improvements seen by a group of domains that have enjoyed substantial press attention in the last few months. Then I examined which publishers can have the biggest impact on rankings.

My goal was to answer this question: What sort of median bump can be expected when your brand secures media coverage? And how can you potentially get the biggest organic lift?

First off: Top-tier links matter a great deal

This chart represents the correlation between the number of times a site was linked to from within the article text of publishers and its rankings and traffic.

Considering the sheer number of possible variables that contribute to rankings changes (on-site factors, amount and quality of on-site content, penalties, etc.) seeing R-values (which determine the linear relationship) this high is a good result.

In general, the higher the R-score, the stronger the relationship between number of links from publishers and improvements in organic ranking.

We found significant relationships between the number of mentions on news sites ranked in the Top 500 and an even stronger relationship for those ranked within the Top 300.

The likely reason for this is twofold:

1. Top 300 publishers confer more Domain Authority than less popular sites.
2. Top 300 publishers often have larger syndication networks and broader visibility, leading to more links being built as the result of a press mention, leading to more Domain Authority accumulation overall.

Which publishers link out the most?

When pitching publishers, it can be extremely useful to understand who is most likely to actually provide a link.

Some publishers have policies against outbound links of any type or nofollow all outbound links.

Looking at the huge dataset, I got a better understanding for which publishers link out to other sites most frequently.

Notice the large number of local news sites with high numbers of outbound links. Local news is often keen to link out.

Unfortunately, most local news won’t have large scale syndication, so looking at top-tier publishers with large numbers of outbound links is likely a better strategy when developing a pitch list. So when you remove those from the list, here are the winners.

The top 15 national publishers that provide links

1. Forbes
2. The New York Times
3. ZDnet
4. NPR
5. PR News Wire
6. Seeking Alpha
7. The Conversation
8. USA Today
9. CNN
10. Benzinga
11. Business Insider
12. Quartz
13. The Hill
14. Heavy
15. Vox

Sites like Forbes only dole out nofollow links, but many of these others provide dofollow links (in addition to just being great, high-authority coverage to achieve). Some industry specific options, like Seeking Alpha, Benzinga, and The Hill, can make for great vertical-specific dream publications to strive for coverage on.

Which publishers confer the most value in terms of organic search improvements?

Looking at this database, it’s possible to look at the median organic traffic gains aggregated by the site that gave the link.

This view is filtered to only include sites that had linked out 100+ times in order to reduce outlier publishers with small volumes of outbound links to only a handful of sites.

More popular sites are clustered near the top, further reiterating the fairly obvious point that the more popular a site, the more value a link from them will be in terms of improving organic ranking.

While most of the top-value links are from these sites, there are quite a few mid-tier sites that seem to grant disproportionate value, including several local news sites and niche authoritative publishers.

Methodology

I used The GDELT Project, a massive repository of news articles that are searchable using BigQuery, to extract the links from all news articles over the last year. Then I aggregated them by root domain.

For each domain from the GDELT dataset that was mentioned in a news article at least 30 times, we then pulled organic data from SEMrush’s API for each one.

I combined the SERP change numbers to the cleaned GDELT data by matching it to the URL of the linked-to site. This gave me organic changes (traffic volume, price, ranking keyword volume change) for each of the root URLs linked to more than 30 times from within the text of articles in the GDELT scrape.

From there, I ran a correlation analysis to see if we could find a statistically significant influence of news coverage on rankings.

Conclusion

Using insights like the ones above, you’ll be able to craft content better suited to those specific writers and audiences, increasing your chances of getting extremely impactful links via a digital PR strategy.

You can download the Tableau notebook and sort in the desktop version to explore the different sites relevant to your vertical. While not all of them may accept outside content, it’s a great start for building a “dream” pitch list. Study the type of content they typically publish, what their audience seems to enjoy most (based on shares and comments), and consider using these insights to hone your content strategy.

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