Topic: Social

Reputation Social

Data Analyst – Marketplace Division 0

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Data Analyst – Marketplace Division

Saskatoon, SK, Canada

As Vendasta’s Data Analyst for the Marketplace division, you will be responsible for building and maintaining a variety of data channels required for monitoring business intelligence, success metrics and user behaviour. Reporting to the General Manager in Vendasta’s Marketplace Division you will deliver the following:


  • Build and interpret data, analyze results and provide ongoing reporting
  • Maintain Business Intelligence Dashboards
  • Monitor and leverage Vendasta KPI databases to surface timely business intelligence
  • Push requirements to Vendasta Business Operations teams to leverage their tech/strategy
  • Assist with data gathering strategies that align with company goals
  • Coordinate with management to prioritize business and information needs
  • Develop and implement databases and other systems that optimize statistical efficiency and quality
  • Acquire data from a variety of sources to monitor business intelligence, analyze trends, and assess user behaviour
  • Assist with the generation of key SaaS metrics required to gain visibility into business performance
  • Coordinate with internal teams to ensure that required quantitative data is accessible, reliable and maintainable
  • Assist product teams with the interpretation of quantitative data to aid in decision making and strategic planning

Skills and Qualifications:

  • Continuous learner and drive to explore new technologies and processes
  • Analytical business sense as aligned to Division strategies and goals
  • Team player and able to work in an open office environment
  • Excellent communication and interpersonal skills
  • Detail oriented with a strong pursuit for truth and accuracy
  • Balanced time management to exceed needs of growing start-up business unit
  • Familiarity with Google Cloud Infrastructure, App Engine, and tools. For instance, BigQuery, Data Store, Google Analytics, Data Studio, etc
  • Knowledge of standard SQL
  • General knowledge of Python and agile development practices would be considered an asset
  • Familiarity with calculating key SaaS metrics. For instance, ARPU, Net MRR Churn Rate, LTV, CAC, LTV: CAC Ratio, etc
  • Ability to interpret user behaviour data and collect associated metrics such as NPS Score, heat/scroll maps, conversion funnels, etc
  • Thorough understanding of user segmentation and proven record of surfacing actionable insights
  • Knowledge of design principles and data visualizations
  • Experience performing statistical analysis.

Why Vendasta

Vendasta’s platform empowers agencies and media companies to grow their sales of marketing solutions for small and medium-size businesses. Our system identifies hot leads who are interested in the products you offer and allows you to provide scalable tools at the right price and service model when businesses are ready-to-buy.

Learn more about Vendasta

The post Data Analyst – Marketplace Division appeared first on Vendasta.

Source: Vendasta

Senior Manager of Partnerships 0

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Senior Manager of Partnerships

Saskatoon, SK, Canada

As Senior Manager of Partnerships, you will be responsible for leading a team of sales professionals and building business partnerships across North America, Australia, and Europe to meet corporate revenue targets. You will work directly with the company’s development, Division GM’s and project management teams as needed to formulate solutions for your partners.

If you are interested in more than just a 9–to–5 job, are excited by working with a team of committed individuals, and want to make a difference in a thriving organization, then this is the place for you!

We offer competitive salaries and have a full range of benefits including dental and vision. We are a successful business and the world’s leading platform for media companies and agencies. Come join us!


  • Managing Department of Sales, Success and Sales Trainers including goal setting, follow up, training program development and performance management
  • Regular cadence of one on ones with direct reports managing and coaching them to a goal, including Quarterly and Annual performance reviews in accordance with Vendasta’s World Class Sales Program
  • Assessing and understanding client needs as communicated verbally, and crafting appropriate solutions
  • Development of our number one asset our talent through mentorship, training programs and a culture of accountability.
  • Prepare proposals, QBRs and Statement of Works
  • Prepare and professionally delivering formal and informal presentations to key prospects
  • Negotiating and closing all phases of engagements, including review and preparation of NDAs, Term Sheets and channel partner agreements

Skills and Qualifications:

  • 7 plus years of Sales Management or Business Ownership in related industry
  • Familiarity with technical concepts and processes related to software development
  • Experience managing a book of business
  • Experience with complex service or solution sales involving multiple stakeholders
  • Ability to consistently achieve or exceed set sales goals
  • Resourceful and curious individual with a sharp intellect and the ability to pick things up quickly
  • Exceptional phone, written and interpersonal skills
  • World class presentation skills

Why Vendasta

Vendasta’s platform empowers agencies and media companies to grow their sales of marketing solutions for small and medium-size businesses. Our system identifies hot leads who are interested in the products you offer and allows you to provide scalable tools at the right price and service model when businesses are ready-to-buy.

Learn more about Vendasta

The post Senior Manager of Partnerships appeared first on Vendasta.

Source: Vendasta

The REAL Impact of RankBrain on Web Traffic 0

The REAL Impact of RankBrain on Web Traffic was originally published on, home of expert search engine optimization tips.

We’re entering a new era of optimizing for search engines.

And no, SEO is not dead.

While many things stay the same in search, we can’t deny the new path we’re on with the introduction of machine-learning systems like Google’s RankBrain.

The concept of RankBrain may seem technical and daunting, but it’s one that CMOs — not just technically savvy SEOs — must understand to be competitive in the months to come.

In this post I cover:

  • What RankBrain is.
  • How search results are changing.
  • How to evolve your digital marketing strategy for machine learning search algorithms.
  • And why you might need PPC advertising even more than ever.

An Intro to RankBrain

RankBrain is a machine-learning artificial intelligence system that came onto the scene in 2015.
Bloomberg was the first among mainstream media to break the news of RankBrain, Google’s newest addition to search rankings.

And while we officially discovered RankBrain in 2015, Google was talking about it as early as 2013.

RankBrain is designed to better understand the meaning behind a searcher’s words. This 2013 post at Google discusses this concept of understanding word relationships if you want to learn more.

From the Bloomberg article we learned that 15 percent of queries per day have never been seen by Google before. RankBrain helps interpret those novel queries.

At the heart of RankBrain is a goal to better interpret search queries and serve the most relevant search results. This has been a lifelong goal of Google Search.

We discuss this at greater length in our SEM Synergy podcast (July 2016) here.

Mobile: A Primary Driver of RankBrain’s Existence

Mobile drove the need for RankBrain even further. Mobile search behavior has been a game-changer, especially when it comes to voice search, something a lot of mobile users take advantage of.

As you may know, queries tend to be much more conversational using voice search versus typing.

RankBrain deals well with the long-tail queries that are common to voice search today, though there are plenty of long-tail searches typed into a search bar, too.

I believe that RankBrain is preparing for a world where voice search will become more and more the norm.

Remember, voice search is already on the rise. In a presentation by Mary Meeker on the popular 2016 internet trends report, we see that voice search is up 7x since 2010.


And it’s not just voice search coming from mobile devices. Now, we have to consider things like voice assistants such as Google Home, where it remains to be seen how the device’s answers will pull from web results.

Here’s What RankBrain Does

RankBrain was designed to better analyze the language of websites in Google’s index, and then apply that analysis to a search query. By better understanding the search query it can better match users with websites and pages.

The purpose is to better understand the meaning of content and the intent behind a search query.

Once RankBrain better understands the intent, it can then presumably apply the appropriate Google algorithm signals that deserve the most weight for that query.

Along with being able to understand concepts on a web page better, RankBrain also allows for a better understanding of the association between multiple queries, like:

“Where is the Eiffel Tower?”

Followed by:

“How tall is it?”

How Does RankBrain Learn? Examples of RankBrain in Action

Essentially, RankBrain can take sets of “training” data created by humans to help establish a baseline, and then can apply machine learning to determine the best search results based on a variety of factors over time.

Google confirmed in the Bloomberg article and in this article at Search Engine Land that they periodically update the system by giving it new data to better reason with new concepts.

At SMX West 2016, some presenters shared examples of RankBrain in action.

One study showed how RankBrain better interpreted the relationships between words.

This could include the use of stop words in a search query (“the,” “without,” etc.) — words that were historically ignored by Google but are sometimes of critical importance to understanding the intent behind a query.

For example, take the television series “The Office.” It’s an example of a search that would be taken out of context without the all-important “the.”

Here’s another example query from an interview with Googler Gary Illyes: “Can you get 100% score on Super Mario without walk-through?” Ignoring “without” would potentially return search results on getting a 100 percent score on Super Mario with a walk-through … so the opposite of the results a person was trying to get.

There are other theories on how RankBrain might use data to learn what the best results are for a search query. It’s possible that searchers’ engagement with the search results may be a factor in how RankBrain determines the relevancy of a result, as Rand Fishkin posits in a keynote from July 2016.

For example, if someone clicks on a search result and doesn’t go back to the search results to start clicking on other websites, this could indicate the searcher found what they were looking for.

The machine could then learn over time that a low bounce rate signals a relevant result, so that web page could show up more often and higher in search results.

Here’s a visual of that concept from Fishkin’s presentation:


How RankBrain Works with Other Ranking Signals

As I mentioned earlier, RankBrain is essentially built into the query process to better understand language and make an improved match between the search query and the websites in the Google index.

Remember that Google still has hundreds of other signals it can apply to a search query to identify the best results.

In 2016, however, Google confirmed that RankBrain was among its top 3 ranking signals for search. Rounding out the top 3 are content and links.

This is an important concept to understand. Google clearly stated that the signals that we’ve come to know to be important and that we’ve been optimizing for still matter: content and links.

While the content on a website and its links are both essential to determining meaning and relevance, RankBrain works in partnership by assisting the Google search engine to better determine if a website is the most relevant based on signals and algorithms, given the searcher’s intent.

The Impact of RankBrain on Big Brands

With machine learning, RankBrain learns associations over time. That means, if a brand becomes associated with a certain product, the queries about that product may lead to more branded search results.

Because Google tends to favor big brands online for a variety of reasons, with RankBrain things like the site’s engagement rate, mentions of the brand across many social sites and so on could further enhance favoritism here.

This could happen despite the fact that some bigger brands may have a weaker link profile than other websites in their space.

What RankBrain Means for Your SEO and Digital Marketing Strategy

OK, now for some action items …

SEO and Your Content

First, let’s talk content. For many, it’s actually business as usual.

Examine your content to ensure it provides the best, most complete answers to a query, whether you’re an informational page or selling a product.

RankBrain is a machine learning system but it still needs input from your website.

Yes, it’s working to better make connections about concepts. For example, we can give RankBrain credit for understanding a page is about baseball even if the word is never used and only “Chicago Cubs” and “New York Yankees” are present on a page.

Absolutely one of the goals of SEO is to better help search engines understand what your content is about. It is still vital that you make sure you’re including the keywords that are important to your business on your website page.

This includes keyword “stemming” (like “walked” and “walking” along with “walk” and “walks”) and using synonyms and natural word variations to help make connections between ideas.

One example we use in our SEO training classes is the word “mercury.” You can use “mercury” 10 times on a page, but if you forget to use the word “planet,” then the search engine may be confused about the subject of the page. Is it an element, car, insurance or other?

This is also a time to explore structured data markup, which helps search engines better make connections as to what is on the page.

Remember, the little things matter as they always have in SEO.

You’ll want to continue to pay attention to making your search results listings stand out in the crowd. That means ensuring each web page has custom meta data in addition to exploring other ways you can make it stand out using schema markup and useful, engaging copy.

Another question to ask: Once people land on your website, is it helping them along their journey even further by offering up related content that explores a topic/product/service more?

This can be accomplished by siloing your content to create subject themes around the key terms that are important to your business.


Subject organization chart aka siloing

RankBrain and Digital Marketing Strategies

I mentioned earlier that RankBrain will likely favor big brands. So what happens if you’re not a big brand?

Now is the time to start thinking about how to supplement your digital marketing strategy, if you haven’t already.

While it’s a great idea to have a thorough SEO strategy, it’s never a great idea to put all your eggs into one basket.

So in the era of RankBrain, even though the basics of SEO that we know and love are still important, you’ll want to think of creative ways to grab that SERP real estate.

That means if you’re not in the upper echelon of brands online in your space, consider supplementing your search marketing strategy with pay per click ads.

RankBrain Is Not the End of SEO

If you’ve been concerned about how RankBrain impacts SEO, there’s possibly more to worry about than you may think.

RankBrain is search results relevance on steroids. Simply put, you must improve your content relevancy to match the query intent. Yes, SEO best practices are critical to traffic, and rankings are more competitive than ever.

But you must also focus on your content from a macro and micro level, and how your website’s content as a whole helps to answer the questions your audience is looking for.

And don’t forget to supplement your digital marketing strategy with things like paid search, social and other channels to keep your brand top of mind.

Do you have insights on the impact of RankBrain on search rankings? I want to know. Leave a comment below.

We can help with your RankBrain optimized SEO strategy. Our services are tailor-made to match your goals and audience. For more revenue through digital marketing, let’s talk.

Source: Bruce Clay

Surviving SEO in a Voice Search World 0

Surviving SEO in a Voice Search World was originally published on, home of expert search engine optimization tips.

You wouldn’t want your annual profits cut by 20 percent, would you? Just like you wouldn’t overlook one out of five of your customers.

By the latest stats, 20 percent of people searching on mobile are doing it with voice search. And we expect that number to grow significantly as more and more people adapt to voice search and voice assistants.

As a marketing officer, you might be wondering how voice search will impact your future search engine optimization strategy.

And that’s what I’m going to talk about today:

  • Why and how your audience is using voice search.
  • The impact of Google’s machine-learning system, RankBrain, on voice search, where voice assistants come into play, and what voice search means in a mobile-first world.
  • Strategic recommendations on how voice search impacts your SEO strategy.

Why Your Audience Is Using Voice Search

Voice search, in many cases, is about convenience.

It’s no surprise that it’s popular among mobile users on the go. Would it surprise you, though, to find out more and more people are using it at home?

According to the 2016 KPCB Internet Trends report, 43 percent of people use voice search in their home:

reasons people use voice search

The KPCB annual report on global internet trends shows the primary reasons and settings for using voice search. Click to enlarge.

And as the technology improves, so does the adoption of voice search on mobile devices and voice assistants like Google Home:

primary reason for voice assistant use is improved technology

The KPCB annual report on global internet trends show how many smartphone users use voice assistants and why behavior is changing. Click to enlarge.

Google is leading the charge to improve voice recognition technology.

In November 2015, Google announced that the Google app had improved its capability to understand the meaning behind voice searches.

Just before that, RankBrain — Google’s machine learning artificial intelligence system — hit the scene. RankBrain makes interpreting queries (including voice searches) and matching them to the best search results easier for the Google search engine.

Voice Search Beyond the Mobile Device

The fact that over 40 percent of voice searches happen at home, versus around 20 percent happening on the go, presents a new level of complexity when we’re thinking about how our brands can become a part of a person’s daily search habits.

What we don’t know yet is the future of how voice assistants like Google Home will identify and serve up results.

In many cases, devices like Google Home have to make complex decisions for you about which answer or result to serve up. This is unlike the traditional way of personally choosing among a set of blue links on a page, and voice search optimizations must be accounted for.

Voice search adds further complexity to local search results, in particular. For example, someone who has a broken water pipe might simply tell their Google Home device: “My plumbing is broken,” versus a more traditional voice search like “show me plumbers in my local area” or “who are the best plumbers in my area?”

Let’s not forget that search must also evolve to fit the tastes of new generations as well.

What we do know is that third-party integrations are happening that allow brands to integrate with Google virtual assistants more seamlessly. And that’s worth looking into.

As search behavior changes, Google has more work to do to find the best answers, and we as digital marketers have more work to do to understand how to become a part of those results.

sound wave on phone screen

How to Prepare Your SEO Strategy for Voice Search

We do, however, understand some things about voice search to date, and how it can impact your SEO strategy.

Let’s look closer at what you need to know to survive SEO as voice search becomes more and more the norm.

Know Your Audience

As part of your voice search keyword research strategy, your company needs to be aware of how someone would look for your product or service if they were using a voice search.

Remember, voice searches are more conversational and tend to center around questions instead of the two- or three-word queries that many people type.

But they can also be declarative statements, like the one I used in the plumbing example earlier.

As part of your research, create a list of voice searches you believe users would use. Brainstorm with your team. Peruse social media. Look at forums. Do whatever you need to do to come up with a good starting list for research.

Know Your Results

We recommend in our SEO training class that people start querying their brand, products and services using voice search to find out if they show up and how.

Most companies haven’t taken the time to figure out how to do a search for their products or services on a device using voice search. But, with your newfound keyword research, you can start.

Once you perform that real-time voice query research, if you find your website isn’t showing up, your web pages and their content need some work.

It’s likely that your website pages aren’t doing a good job of answering a where, when, why, what or how-type question.

Know Your Competition

As part of your SEO strategy, you want to find out who is, in fact, showing up for those voice search queries if not you — or who is ranking above you.

Performing page-by-page analyses of the top 10 rankings, for example, for a voice search important to your business can help you better understand the logistics of the content on those top-ranking pages.

Apply Voice Search Keyword Strategy and Website Optimization

The approach to optimizing web pages is the same — meaning you want to ensure you’re following SEO best practices.

But you may choose to tweak your content.

You might decide to include the same target keywords in your meta information and heading tags, but tweak the content to be in the form of a question posed by someone using voice search.

For example, “planets in our solar system” might become, “how many planets are in our solar system?”

This keyword modification tactic could be applied page-wide where it makes sense and feels natural. You might also use the data you gleaned from your voice search keyword research plus the competitive research I mentioned to identify content on your site that’s missing.

Where could you better answer many of the questions your target audience has?

While it’s ultimately Google’s job to best match a search query to a web page, it’s also our jobs as website publishers to do as much as we can to help make that match.

So, many of the SEO practices we’re used to still apply to help make your pages relevant.

I mentioned integrations with Google Home, and those are the types of things you’ll want to watch out for, particularly for certain types of businesses.

And it’s worth mentioning again that voice search today is a highly mobile experience. But we can easily imagine a time when voice search is a desktop function.

Still, with Google planning to take a mobile-first index approach, you can’t afford not to be there.

Right now, it’s safe to say we’re in an experimental phase, where we’re learning how voice search works across devices, how search results surface and how to be a part of it all. And there’s still much work to do.

As brands, we need to figure out how to become a seamless part of our audience’s search habits across technology and devices. Imagine the competitive advantage you would have in being a leader in the “new” search.

But we also need to continue to implement the SEO best practices that help search engines understand our website and its content. Only now, we have more contexts than ever to consider.

What do you think? Do you think a brand can be the last to implement a voice search strategy? Can you? Let me know your thoughts in the comments below.

Let us help you develop your voice search SEO strategy. Bruce Clay’s tailor-made services drive your competitive advantage.

Let’s talk more about growing revenue through smarter digital marketing.

Source: Bruce Clay

How Fake News Changed SEO & How to Add More Facts to Your Site 0

How Fake News Changed SEO & How to Add More Facts to Your Site was originally published on, home of expert search engine optimization tips.

The concept of “fake news” exploded into the public zeitgeist at the end of the 2016 presidential election season. It’s been in the spotlight ever since.

fake news in google trends

The popularity of the term “fake news” as indicated by Google search volume over the last two years skyrocketed the week of Nov. 6, 2016, the week of the U.S. presidential election.

Google is among those concerned with fake news, as we learn from this December 2016 interview with Google CEO Sundar Pichai.

Pichai says:

At Google, we’ve always cared about bringing the most relevant and accurate results to users … There have been a couple of instances where (fake news has) been pointed out, and we clearly did not get it right … Just in the last two days we announced that we will remove advertising from anything we identify as fake news.

Pichai’s focus here is towards paid advertisements but with all the buzz over fake news in the media, SEOs are asking questions about the affect of fake news on organic search.

The bottom line is that Google needs to provide users with quality answers that accurately fulfill the intent of their users’ queries.

So, why should SEOs care? What can you do? These are questions organic search marketers are wondering.

how to add facts via database

Is fake news beyond Google’s ability to control? You can bet the search engines don’t take that approach. Google and Bing are able to verify the accuracy of content, to some extent. And the search engines are already in a good position to mitigate the spread of fake news in organic search results.

Read on for what we know about:

  • How Google is looking to algorithmically promote factually accurate content in search results
  • How Google is training its computer programs to find and weed out fake news via a fresh update to its human quality rater guidelines.
  • Plus how to integrate trustworthy factual information into your content using database-driven data.

Algorithmic Solution to Factual Accuracy in Search Results: Google’s Database of Facts

Two years ago the SEO community saw the first sign of prominent Googlers arguing for the usage of factual evidence instead of backlinks as the primary way of measuring domain authority.

New Scientist summed up the idea in an article titled “Google wants to rank websites based on facts not links.” The article summarized a lengthy research paper outlining a potential change to the way Google would rank sites organically.

For many SEOs, the paper implied that if a web page appropriately mentioned accurate factual evidence, it could contribute to its trustworthiness and thus boost organic rankings. This makes sense, especially since everyone knows content is king.

Additionally, the paper’s argument is in line with a patent that Google filed a decade prior about how to extract and catalog factual evidence from “unstructured documents and build an oracle for various domains” (emphasis ours).

From these documents we can posit that:

  1. Google has a large repository of factual evidence that they have been building for years and can reference as necessary.
  2. Google is very interested in measuring the factual accuracy of sites so it can be certain users are served the correct answer to any question.

If Google and other search engines place such a high value on accurate facts, it is imperative that SEOs be aware of how publishing fact vs. fiction could affect them.

Furthermore, there’s some evidence that Google is working toward taking action algorithmically to reduce the visibility of sites that publish fake news…

Update of the Search Quality Rater Guidelines

While Google has said nothing officially about penalizing a site for inaccurate facts, we’re seeing signs that factual information is important in their eyes.

Just last week, Google published an update to its Search Rater Quality Guidelines. In summarizing what’s changed, Jennifer Slegg suggested that algorithmic action is the intended goal of the guidelines that help human quality raters identify fake news pages on the web.

“(Google engineer Paul) Haahr said that they needed to make these specific changes to the guidelines in order to have training data from the raters. And the need for training data would mean they are looking for ways to algorithmically detect and downrank sites that fall into the categories of fake news, hate sites or other sites with dubious and unbacked theories or claims.”

Steps You Can Take To Avoid Being Labeled ‘Fake News’

Being perceived as authoritative in the eyes of the search engines is not easy. Here’s what you have to do to pass Google’s factual accuracy check:

  • Use trusted sources whenever possible.
  • Fact check when reviewing content. Look for verification of anything passed off as factual on your pages.
  • Avoid sharing information with your users that could be false.

And here’s another pro tip. Where possible, integrate trustworthy factual information into your content using database-driven data.

Here’s this tip in action. Real estate sites are especially interested in offering users information about a given geographic area. The aim is to help people learn more about the area of a home, which in turn promotes conversions.

For example, here’s a screenshot of a portion of a property listing page on

trulia including local municipal data

Local municipal data provided by third-party sources on a property listing page of

The local data that Trulia publishes on a property listing page are area demographics, nearby businesses, schools and crime statistics. These stats are taken from third-party databases. The inclusion of these publicly available statistics is advantageous because Google sees these facts and weighs them as valuable information that helps a visitor with the intent of learning more about the property in question.

Thus, by adding this information to the rest of the content on the page, Trulia (and other real estate sites that do the same) have better fulfilled the intent of the query by being a one-stop-information-shop for users.

Similarly Public Storage, another well known brand, includes public data on some pages to either improve the user experience or better fulfill the intent of the query.

Below is a screenshot of a storage facility city page that include a “City Information” tab with indexable content about the region:

database-driven city information

City data provided by third-party sources on a storage facility city page on

Again, the inclusion of this information alone does not make Public Storage the best site but it does improve the user experience while simultaneously fulfilling the intent of the query in a more enriched and meaningful way.

In summary, if relevant database options like this are available in your industry or associated verticals,  appropriately integrate them your content in order to:

  1. Better fulfill query intent
  2. Improve UX
  3. Add to the accurate factual information your pages feature
  4. Set your site apart from your competition as a one-stop-shop for searchers
  5. Make your content verifiably accurate

If you are interested in looking for data sources that might work with your site’s content, you might start with Google Public Data, or Qliq. There’s a nice round up of more databases you can mine over here.

In a world of fake news where facts will be verified, set your pages apart by supporting your content with accurate information.

Quick Caveat about Database-Driven Content

Using facts as a method for measuring authority is not the be all, end all of ranking factors.

In 2015, Google’s Gary Illyes and Bing’s Duane Forrester spoke against building a site off of public data alone.

Obviously, the search engines will have seen or know about any public data you are referencing so, trying to out rank an existing authority is not the best strategy.

Also, the search engines will still consider other factors so, offering only data does not automatically make you the best. As we saw above with Trulia and Public Storage, you need more than just data and facts. A web page with 100 facts, should not expect to outrank a competing page with the same facts, original content, and a stellar UX.

Will Google Take Action to Suppress Fake News?

By updating the Search Quality Rater Guidelines to reflect a concern with identifying fake news, Google has shown they are not about to let undeserving pages slip through to Page 1 rankings.

It is not yet 100% clear whether Google will take algorithmic action against fake news or factually inaccurate content, or if their action will remain manual. But from all that we have seen, Google has the means to eventually implement an automated process that suppresses sites with inaccurate factual information in organic results. This makes sense since the search engine already goes to great lengths to feature accurate information and this would merely be a continuation of their existing efforts.

Source: Bruce Clay