The basical knowledges of Google Panda Algorithm

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  • August 30, 2019
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The basical knowledges of Google Panda Algorithm

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Initially released on February 3, 2011, the main purpose of the Google Panda algorithm is simple. Panda works to reward high-quality more relevant websites and demote low-quality websites in Google’s organic search engine results.

With more than 28 updates since its launch, Google Panda has addressed and targeted a number of issues in Google search results including:

  • Thin content – These are weak pages with no content or with very little relevant content served to the user. Google recognises that there is very limited significant content or resources that can be beneficial to the user. A perfect example would be a healthcare website that describes very serious health conditions in one sentence. As we can understand, a user looking for information about a health condition would naturally expect to find an in-depth web page – not a page with virtually no text content.
  • Low-quality content – Websites that are populated with content, however, lack in-depth information and offer little or no value to readers.
  • Duplicate content – Plagiarism or duplication of content is a serious offence that Google does not take lightly. Whether on-site or off-site, duplication of content will get you into a big problem with Google Panda. For example, having the same content duplicated on multiple pages on your website might place you under Panda’s radar and negatively affecting your search ranking.
  • Content farming – Having a big number of low-quality pages that provide low or very little value to readers. In most cases, content farming involves hiring a huge number of low-quality writers to create short content that covers a wide range of search engine queries with the sole aim of ranking for keywords.
  • Lack of authority – Google is very serious about the trustworthy of the information provided to readers on websites. With that in mind, providing misleading information to readers might place you on the wrong end of Panda penalties. An easy way to start building up your authority is having an author box under all your writings. This adds legitimacy to your content as it’s backed by a real, verifiable person within the industry.
  • Excessive ad-to-content ratio – Websites that have excessive paid adverts than meaningful content. If you’re populating your website with too many ads this ultimately results in poor user experience. Websites that do not endorse a balance or provide any meaningful information may be devalued by Panda.
  • Low-quality user-generated content (UGC) – These may include guest blog posts that are full of grammatical errors, cannot be trusted and are not authoritative. Many forms of poor UGC are created for spammy SEO purposes and are highly sceptical of having their URLs devalued.
  • Misleading and deceiving content – If your website pledges to deliver content that matches a given search query but then fails to deliver on the promise. This is highly deceptive and may result in high user bounce rates.
  • A website that’s blocked by users – A website that visitors are blocking either through a Google Chrome browser extension or directly in the search engine is a clear indication that Panda might penalise it.
  • Low-quality and broken affiliate links – Having numerous paid affiliate links that have poor and low-quality content might bring you lots of problems. Again, having affiliate links that don’t take visitors to the promised website or location might bring you even further problems.

Other issues may include non-optimised pages, content with lots of grammatical errors, sites without a specific topical focus and keyword stuffing.

Since it may take some time to see whether this change has affected your site either positively or negatively, it’s best not to overreact to any perceived shifts in traffic. Instead, we recommend keeping an eye on your site’s traffic over the next few months, and if you see any large fluctuations in traffic from organic searches, you should take steps to address any issues you might have. This will ensure that you see positive changes in the next Panda update.

Rather than chasing algorithm changes and trying to anticipate how to tailor your site to each new update, we recommend focusing on following SEO best practices like establishing your site’s authority and creating quality content that provides value for your customers. If you’re not sure whether your site meets these standards for quality, take a look at Google’s Quality Rating Guidelines, which can help you make sure you are communicating the purpose of your site and providing the best possible experience for people who use it.

In addition, it’s important to address any technical issues like crawl errors, broken links, or poor site performance that may be adversely affecting your search rankings. Google looks at over 200 ranking signals to determine how a site ranks in its search results, and while content quality is important, it is also essential to make sure your site runs properly, is easy to navigate, and is viewable on mobile devices.

Panda 1: Launched on 23rd Feb 2011

Google panda or Farmer update is focused on quality of the content delivered in a pages of websites. It helps People in finding high-quality sites in Google’s search results. This change tackles the difficult task of algorithmically assessing website quality. So this change had affected low quality sites so badly, that they had to update the low quality pages to improve their whole site’s ranking. It’s better to focus on developing good quality content rather than trying to optimize for any particular Google Algorithm. Good quality content basically content means fresh, informative and interesting content.

Panda 2.0: Launched on 11th Apr 2011

After successfully implementing the first Panda update, lots of trusted publishers and high quality pages started getting more traffic. After this, Google rolled out Panda 2.0 update globally to all English language Google users. Post this implementation, Google started collecting data about sites which users had blocked. This was an indication to Google that those sites might be offering low user experience.

Panda 2.1: Launched on 9th May 2011

After a month Google again launched a new minor update, which was made to enhance the algorithm of Panda 2.0. Search results were not affected that much in this update.

Panda 2.2: Launched on 21st June 2011

This update was made for the web pages which used copied content from any other original source of content. This targeted the sites which used to scrap content from other sources. In this implementation Google tried prevent the low quality copied sites and push original content higher up on the search engine result pages.

Panda 2.3: Launched on 23rd July 2011

This was a small algorithmic change of last panda update which expanded Panda filter and gave better ability to result in higher quality content for better user experience.

Panda 2.4: Launched on 12th Aug 2011

After successfully implementing the Panda update globally in English language, Google rolled out Panda 2.4 the same features for all languages except Chinese, Japanese and Korean. This change impacted almost 6-9% of queries for most languages.

Panda 2.5: Launched on 28th Sept 2011

Google made some further changes after few months in Panda Algorithm. This update was made to wider the analyses of searching high quality content.

Panda 3, Flux: Launched on 5th Oct 2011

This was a little change on Google Panda update, which broadened the analyses of search results according to valuable content, consolidated duplication, improving usability and engagement quality.

Panda 3.1: Launched on 18th Nov 2011

After releasing the flux update Google was rolled out several Panda update which were Panda 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7 and 3.8. These all were minor Panda refreshing data updates. Search results were not affected that much but became more accurate and sensitive.

Panda 3.9: Launched on 24th July 2012

Google rolled out another update on Panda algorithm. It did not impact the search results much, although some sites noticed the affect 5 to 6 days after the update. It was a little change on the Panda update and designed to remove the low quality sites from the search engines. Then there were two more minor refreshing updates were launched by Google, which affected almost 1% of the results.

Panda #20: Launched on 27th Sept 2012

This was one of the major updates of Google Panda. Google rolled out this update by changing the Panda data and the algorithm as well. It was overlapping with the previous update EMD (Exact Match Domains) .After this change 2.4% of the search queries were affected. Then there were 4 more updates were launched by Google to further improve the results. Post this update Google stop giving priority of those sites which used false keywords in their domain and got good ranking. Google prioritized the domain name which had the content depth corresponding to the keyword which used in domain URL.

Panda #25: Launched on 14th Mar 2013

Again Google rolled out an important update – Panda 25 started dealing with spammers and people who abuse the process. Google made some changes in this update by changing the indexing process of Data.

Panda Dance: launched on 11th June 2013

It is almost like the Google Dance update in which Google ran the update approximately for 10 days. Google checked the effect after implementation and saw the ranking dance. Google named the new algorithm update as the Panda Dance, knowing that keyword rankings for all sites were began to dance or jumped up and down each and every month.

Panda Recovery: launched on 18th July 2013

Google rolled out a new update on Panda. Goal of this implementation was to soften some previous penalties on the low quality sites. Some targeting methods were changed to get fine search results.

Panda 4.0: launched on 19th May 2014

It was one of the most important updates of Panda. Due to this change approximate 7.5% of English language queries were affected. Main goal of Panda update was to penalized the poor scraper sites, and boosting sites with great quality content was reached by this Panda updates.

Panda 4.1: Launched on 23 Sept 2014

Google rolled out another Panda update which affected 3-5% of search results based on the location. Google worked on it so accurately that it improved the Panda algorithm as well. It elevated the high quality small and medium size sites so perfectly that everyone tried to make their site fresh and informative. Then, there was one more and last update Panda 4.2 (Launched on 17th July 2015) rolled out by Google, which impacted the English search queries of about 2-3%.

Read more Tips to reveal Google Panda Penalties

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  • August 28, 2019
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How Does Google Penguin Algorithm Work

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Category : SEO News

Google Penguin targets sites that have created spam backlinks to replicate Google results and get better rankings. Google’s algorithm assigns each website a large number of classification factors. Some factors, such as the speed of the website and the HTTP protocol, others less. Here are some examples of backlinks to give you an idea of ​​the type of backlinks Google Penguin targets:

Types of Backlinks:

  • from unknown websites
  • Which have the same or similar anchor text
  • Obviously, they were built with a bot or tool
  • Who were paid or stimulated
  • Who comes from different and strange Countries?
  • Which were built in large quantities in a short time
  • From doubtful country

In a live video, Google said the Google algorithm “tagged” your links, which was a great way to think about backlinks. They gave some examples like:

  • Links that were rejected.
  • Penguin touched links.

The easiest way to understand how Google Penguin works is to read the “Connection diagrams” section of the Google Webmaster Guidelines. They explain in detail the types of link schemes that can negatively affect your site:

  • Buying or selling links to follow.
  • Exchange of links
  • large-scale marketing of objects
  • Follow ads with links.
  • Forum or blog comments containing links.
  • Left at the bottom of the page or templates (at site level)

A mathematician does not have to understand what “negative influence” means. If you have enough links pointing to your website, you’re likely to lose rank in Google.

It happens that some of these backlinks or websites are not easily recognizable to the human eye. In recent years spammers have been very successful in making black hat links look like white. This has been a big challenge for Google as many SEOs write quality content and use it on low-quality, deleted domains, and private blog networks.

It is a permanent cat and mouse game: Google is launching a new update; SEO is responding with a new tactic, Google is responding with an update that is geared towards this tactic.

It’s part of the core Google algorithm now

Until now, Penguin has been its own entity.

With Penguin 4.0, Google says that “Penguin is now part of our core algorithm,” which it notes consists of more than 200 other unique signals that can affect rankings.

Google Penguin is About Spam Link Building

Google Penguin is designed to punish sites those manipulate the search results falsely with black hat link building techniques.

Google called it webspam. Google strongly condemn the false manipulation in search results.

Google said we want webmasters to focus on the quality content, not SEO, and black hat SEO absolutely not.

It’s real-time

As Gary Illyes of Google’s Search Ranking Team explained:

Historically, the list of sites affected by Penguin was periodically refreshed at the same time.

Once a webmaster considerably improved their site and its presence on the internet, many of Google’s algorithms would take that into consideration very fast, but others, like Penguin, needed to be refreshed.

With this change, Penguin’s data is refreshed in real time, so changes will be visible much faster, typically taking effect shortly after we recrawl and reindex a page.

It’s granular

According to Illyes: “Penguin now devalues spam by adjusting ranking based on spam signals, rather than affecting ranking of the whole site.”

What does this mean in practical terms? That isn’t so clear.

The effects probably won’t be seen immediately

It’s not known whether the new Penguin code has been rolled out to all of Google’s data centers.

But even if it has, it could take time before the effects are seen given that there are almost certainly many URLs that will need to be recrawled.

Read more What is the target of Google Penguin Algorithm

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  • August 28, 2019
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What is the target of Google Penguin Algorithm

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In September 2016, Google’s latest algorithm update indiscriminately affected online brands web traffic, again. Without a well-planned SEO strategy, brands have had a hell of a time ranking in search engines and effectively promoting themselves online. Let’s explore why.

Unlike its 3.0 predecessor, this update is in reality the next generation of the Penguin algorithm. For starters, the 4.0 release saw Penguin become part of Google’s core algorithm. As a result of this, Google said that it would no longer be announcing any further updates to Penguin.

The second piece of news was equally momentous, if not more so. With the rollout of Penguin 4.0, Google announced that henceforth Penguin would be live, reevaluating sites in real time as they are being re-indexed. This in fact is huge, because it means that if your site should be impacted by Penguin, you would not need to wait months or even years for the next Penguin update in order to bounce back. What’s more is that Google later revealed that the new algorithm does not issue a penalty per se, but rather devalues the spammy links. The devaluation of links is more of a lack of a positive than it is the attribution of a negative. Think of it like this, links are good, they increase your ranking when done properly. Should they however be “spammy links,” Google will simply ignore them, and your page will not have the added value of having links on it (or as many links). This is in contradistinction to the modus operandi of previous versions of Penguin, that actually demoted the ranking of a page that contained spammy links.

Google’s Penguin hunts for spammy backlinks

Gaining and maintaining organic backlinks is one of SEO’s primary jobs. So what does that mean?

Organic backlinks are unpurchased and unsolicited web links between someone’s website, social media apps and blogs. Organic or natural links are one of the top three website ranking factors that Google Search takes into consideration. Unnatural or spammy backlinks are web links, which are purchased in bulk to artificially boost web traffic to the specific website. Before 2012, the more unnatural backlinks your SEO specialist could buy, the more authority or more traffic your website would have. SEO guys and gals that purchase backlinks today are considered Black Hat SEO specialists–also known as spammers.

Initial Penguin Algorithm update released in April 2012, making purchasing backlinks a violation of Google Webmaster guidelines, which resulted for the first time ever as a ranking penalty.  If your brand isn’t monstrous, but your site has thousands of backlinks, you should check with your webmaster. Chances are many of those backlinks are spammy AF. Pre 2012, it was not uncommon for a local mom-and-pop shop to have tens of thousands of backlinks from all over the world. That’s a red flag and the Penguin Update will hit you with a penalty and there goes your site’s traffic.

The evolution of Google Penguin Algorithm

With the release of Penguin 4.0, the algorithm has in a sense completed the evolutionary cycle. It has certainly come a long way from its original construct, skimming for link spam on the homepage. In fact, even the sort of tense relationship between the algorithm and the SEO community has in many ways been healed as Penguin completed its evolution.

Penguin Evolution

No longer are those legitimate sites who have been hit with a Penguin penalty waiting (which in the case of the latest update was years) to recover. As a result, you can make the case that the most interesting and dynamic aspect of Penguin’s progression has not been technological, but sociological – as in its most modern form the algorithm has balanced both technological need with communal unanimity.

Read more How Does Google Penguin Algorithm Work

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  • August 27, 2019
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Something important about Pirate Algorithm Update

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Category : SEO News

Google first released the Pirate algorithm in August 2012 and rolled out a second major update to the algorithm in October 2014. The search engine algorithm focuses on tackling the huge problem of online copyright infringements. Websites that have been reported for copyright and have received adverse amounts of web page removal notices will be penalised. Allowing Google users to find quality, and legitimate information less of a challenge.

This algorithm has been designed around data received from website users and owners, who have reported websites for using content that falls into the category of infringement. However, it is important to consider that while some web pages may be demoted for adverse complaint signals, Google cannot remove said content unless a valid copyright ejection is received from the owner of the copyrighted material along with the rights.

Google recently made a change to their algorithm designed to demote major sites hosting pirated content, but the algorithm has a secondary side effect – bringing more visibility to smaller torrent sites that had been previously buried in the search results due to the more popular sites ranking so well.

The new algo takes the number of legitimate DMCAs filed against a site into account when ranking sites, with more DMCAs resulting in a lower ranking.  However, smaller sites hosting pirated content that weren’t at the top of the search results were not impacted as much as other more popular sites, as many companies focus only on the top ranking pirate sites when filing DMCAs.  This change could mean that companies will have to not only focus on the top ranking sites, but also the ones multiple pages deep in the search results to prevent them from showing up at the top later.

Google will notify a website owner of a content infringement via a DMCA take-down notice, the notice is sent to the website owners Webmaster Tools account. A DMCA will include details of infringing url(s) or in some cases a whole website.

Google provides a full transparency list of websites that have been reported for content infringements, which can be viewed here: Transparency Report

All websites that are reported to Google will be documented, allowing said data to be analyzed and used to configure the Pirate algorithm. A website with a high number of removal reports will usually be demoted on all searches across the Google search engine.

Google has kept making changes in its search engine algorithms to demote the most wicked pirate sites. One of the most renowned changes is an improved effort to make such sites less visible in search results, directly indicating that they will not appear in the initial search pages. Since 2012, Google has been running a down ranking system but is reported to lack effectiveness as per the copyright industry groups such as RIAA and MPAA.

Just last week, the giant has announced of the improved version that aims to address this comment/issue. With the updated version of ‘How Google Fights Piracy’ report that was originally introduced in 2013 for defending the claims by film and music copyright holders, Google seems to give an overview of all the efforts for fighting piracy as well as reveal the importance of responsibility of copyright holders for making the content available. The 26-page report delineates the following anti-piracy principles of Google:

  • Defense against abuse
  • Generation of better and more legitimate alternatives to keep piracy at bay
  • Provision of transparency
  • Funds monitoring, as Google believes that the most effective way to fight against online pirates is to reduce their money supply while prohibiting rogue sites from its ad and payment services
  • Guarantee of effectiveness, efficiency, and scalability

Because this filter is regularly updated, the formerly influenced sites can manage to escape in case they have rectified the mistakes or made improvements. Well, at the same time, the filter is also capable of sensing new sites that managed to escape before as well as releasing ‘falsely caught sites’.

The update is just as other updates such as Penguin and allows processing all sites to catch any site appearing to be in violation. Once caught, the site is then stuck with a downgrade until they tend to get fewer or no complaints to get back into the race. However, since its day of introduction, the filter has never been rerun, which means a real pirate site along with new violators during this two years, which  need to be punished, might have managed to escape. This has perhaps made Google to finally update its Pirate Filter after two years!

Read  more Who is affected by Googe Pirate Algorithm

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  • August 27, 2019
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Who is affected by Googe Pirate Algorithm

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Category : SEO News

Once Google’s Pirate Update was released back in 2012, which was created to penalize pirate sites, everybody stopped. Everyone wasn’t really sure what to do. How severe was the punishment for those running pirate sites? Are there really any lessons to be learned by other SEOs and marketers?

Every time Google rolls out a brand new algorithm update, it seems that there are quite a few people in the SEO world who goes crazy.  But it reminds me of being a student in high school all over again.  Every time there’s a new big project for a class, or a surprise test announced, everybody loses their cool.  But in reality, we know that Google is doing all this for the best, just like those teachers in high school.  All they want for us to do is to do things better.  Create better content, use fewer keywords, create higher quality links, and so forth.

The Sites At Risk

According to Google’s transparency report, most of teh sites at the top of the copyright notice pile are file sharing sites. This list includes cyberlockers with files for download, search sites widely used to find infringing material, Bittorrent sites and community sites for swapping files. There are very few blogs, legitimate forums or other non-piracy oriented sites on the list.

While this means that legitimate sites that don’t specialize in pirated content aren’t likely to get bit, it also means spam blogs and plagiarist sites and nefarious content farms are not on the list either. However, they are typically addressed and filtered out by other methods.

In short, the sites most at risk are the ones that are in the crosshairs of the major copyright holders as they are the ones sending off the most DMCA notices and racking up the most “points” against the domains they’re dealing with.

Still, this isn’t necessarily a guarantee that more notices equals greater penalty. Google also tracks how many of the total URLs have been reported and all of the sites at the top of the list have had less than 5% of their URLs involved, most less than 1%.

Depending on how Google approaches this penalty, it may be possible for a site with fewer URLs involved but a higher percentage to receive a stiffer penalty.

Overall, it’s safe to mention that Google has removed 300 million illegal download URLs, at the terribly least, over the past several years. whereas this seems like an astronomical number, it’s nevertheless to satisfy either MPAA or RIAA.

However, reports documenting the Pirate Update unrolled on the week of October 20, can be indicating that higher penalties area unit hit torrent websites.

A week has gone along since Google unrolled the latest Pirate Update, and there are some massive torrent players who reportedly walked the plank. Pirate Bay, one among the main torrent websites for embezzled media downloads, lost roughly forty-eight % of its Google visibility, according to an early analysis generated by Search Metrics. However, TorrentFreak is coverage this major drop doesn’t part Pirate Bay, claiming that they are doing not receive abundant traffic from Google. Pirate Bay depends a lot of on direct traffic from those that are looking for torrents; for the foremost half, their target market is already aware that they exist.

Other hard-hit torrent web site in Search Metrics’ analysis includes free-tv-video.me, move4k.to, mp3skull.com, myfreemp3.cc, and kickass.to. There are a total of 30 websites enclosed within the list, with keywords starting from picture downloads to look at movies free. As of now, these thirty websites have basically fallen from Google’s virtual formation. This all sounds nice, and if these reports are literally the case, Google is on the correct track.

Read more Something important about Pirate Algorithm Update

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  • August 24, 2019
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The influence of Google Hummingbird Algorithm on SEO

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Category : Seo Experiences

Matt Cutts said that the Hummingbird algorithm actually effects 90% of all searches but he said only to a small degree. So while Panda may have impacted 10% or so and Penguin closer to 3% or so, Hummingbird impacted 90%. But Matt Cutts said only to a small degree where users should not notice.

How does Hummingbird work?

Well in short it’s faster and more precise than previous versions of Google.

One of the deepest changes that makes Hummingbird so different than past versions of the Google algorithm is that it now focuses more on conversational search. Google has said that less people are searching seriously with short keyword terms and focusing more on the longer tail keyword searches asking for multiple data points simultaneously.

This means Google is ultimately looking less at what each keyword in your query means and more at what your entire query means.

What Does Google Hummingbird Enhance?

In my opinion the Google Hummingbird change signals three pretty clear objectives for Google.

  1. Google wants to communicate conversationally.
  2. Google wants to deliver a seamless experience across all devices.
  3. Google wants to anticipate your needs and answer your questions before you have them (they want to be your assistant).

Let’s break these down one by one.

  • Google wants to communicate conversationally– When search engines started the only way we could interact with a search engine was by keyboard. At that time the search engines operated by looking for keywords and that was pretty much what you would enter into the search. For example if you think about the video above Matt Cutts wants to know how fast a cheetah can run. Instead of searching for, “how fast does a cheetah run?” he searches for, “cheetah running speed.” So in the early days of search we stripped out unnecessary words from our search queries to make it easier for the user to search. Why would Google want to change this? Because today more searchers are using their mobile devices and the big difference is that you can actually speak to your mobile device. That brings us to the next point.
  • Google wants to deliver a seamless experience across all devices– As we have already discussed users are searching more frequently from a mobile device. As a result Google has made some strategic changes make sure that users can have a seamless experience whenever they access the web. For example the Google web browser Google Chrome now works on mobile devices. This means where ever you surf the web on any device if you are logged into Google Chrome Google can present personalized search results to you. You can also access your bookmarks, and browsing history seamlessly across all devices. Google is also working hard to enhance the Google Now app. Which brings us to our final point.
  • Google wants to be your assistant- Google Now is much more than a search app. Google now starts to get to know you and learns about your activity. When I wake up every morning Google Now tells me how many minutes it will take me to drive to the gym. Google Now also has access to my calendar, contacts, location… almost anything I tell my phone. Because of that Google Now reminds me of deadlines, birthdays, places I have visited, and things I have searched for. Ultimately Google wants the Google Now app to act like the Star Trek Computer. They want you to be able to say, “OK Google” and have Google assist you with any task you can think of. I know I’ve shared this video before but it is the ultimate example of what Google wants Google Now to be.

The implications of a Hummingbird search world

It is important to remember that this step forward being described by Google as a new platform.

Like the Caffeine release Google did in June of 2010, the real import of this is yet to come. Google will be able to implement many more capabilities in the future. The implications to search in the long term are potentially huge.

For you as a publisher, the implications are more straightforward. Here are a few things to think about:

1. Will keywords go away?

Not entirely. The language you use is a key part of a semantic analysis of your content.

Hopefully, you abandoned the idea of using the same phrases over and over again in your content a long time ago. It will remain wise to have a straightforward definition of what the page is about in the page title.

I’ll elaborate a bit more on this in point 3 below.

2. Will Google make the long tail of search go away?

Not really. Some of the aspects that trigger long tail type search results may actually be inferred by Google rather than contained in the query. Or they may be in the user’s query itself. Some long tail user queries may also get distilled down to a simpler head term.

There will definitely be shifts here, but the exact path this will take is hard to project. In the long term though, the long tail will be defined by long tail human desires and needs, not keyword strings.

The language you use still matters, because it helps you communicate to users and Google what needs and desires you answer.

3. You need to understand your prospect’s possible intents

That is what Google is trying to do. They are trying to understand the human need, and provide that person with what they need.

Over time, users will be retrained to avoid short simple keyword-ese type queries and just say what they want. Note that this evolution is not likely to be rapid, as Google still has a long way to go still!

As a publisher, you should focus more attention on building pages for each of the different basic needs and intentions of the potential customers for your products and services. Start mapping those needs and use cases and design your site’s architecture, content, and use of language to address those.

In other words, know your audience. Doing this really well takes work, but it starts with knowing your potential customers or clients and why they might buy what you have to sell, and identifying the information they need first.

4. Semantic relevance is the new king

We used to speak about content being king, and that in some sense is still true, but it is becoming more complex than that now.

You now need to think about content that truly addresses specific wants and needs. Does your content communicate relevance to a specific want or need?

In addition, you can’t overlook the need to communicate your overall authority in a specific topic area. Do you answer the need better than anyone else?

While much of being seen as an authority involves other signals such as links, and perhaps some weight related to social shares and interaction, it also involves creating in-depth content that does more than scratch the surface of a need.

Read more The important knowledges of Google Hummingbird Algorithm

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TDHSEO Team

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Thank you!

  • August 24, 2019
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The important knowledges of Google Hummingbird Algorithm

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Category : SEO News

Google Hummingbird was an updated algorithm released by the search engine in 2013. The goal of Hummingbird was to help Google better understand semantic search. Rather than matching words in a query to words on websites, the Google algorithm now strives to understand the meaning behind the words so that it can provide results based upon the searcher’s intent. This helps to improve the quality of the results because users can be matched to pages that might better answer their query, even if websites use slightly different language to describe the topic at hand.

Since 1998 Google has used the same old algorithm and upgrading it iteratively every year. Google recently replaced it’s entire algorithm with a new version.

Google Hummingbird is actually a project that seeks to improve the Google search engine experience for users by going beyond keyword focus and instead taking into account the context and all of the content in the entire search phrase to provide more of a natural-language, or conversational, approach to search queries.

Unlike two similar projects from Google, Google Panda and Penguin, which both serve as updates for Google’s existing search algorithm engine, Google Hummingbird introduces a completely new search algorithm that is estimated to affect more than 90% of all Google searches.

Google wants to process “real” speech patterns

Having the best platform for processing conversational queries is an important part of that, and that’s where Hummingbird fits in, though it’s just the beginning of a long process.

Think of Google’s Hummingbird algorithm as a two-year-old child. So far it’s learned a few very basic concepts.

These concepts represent building blocks, and it is now possible to teach it even more concepts going forward. It appears that a lot of this learning is derived from the rich array of information that Google has on all search queries done on the web, including the query sequences.

For example, consider the following query sequence, starting with the user asking “give me some pictures of the transamerica building”:

The user looks at these results, and then decides to ask the next question, “how tall is it”:

Note that the latter query recognizes the word “it” as referring to the Transamerica Building because that was identified in the prior query. This is part of the sophistication of natural language queries.

Another example is the notion of comparison queries. Consider the query “pomegranate vs cranberry juice”:

The Knowledge Graph

These examples involve Google’s Knowledge Graph, where natural language search benefits from the ability to pull real-time answers to queries that understand the specific context of the query.

Note that the Knowledge Graph has accepted some forms of conversational queries for a while, but a big part of Hummingbird was about expanding this capability to the rest of Google search.

I have seen people argue about whether or not Hummingbird was just a front end translator for search queries, or whether it is really about understanding more complex types of user intent.

The practical examples we have now may behave more like the former, but make no mistake that Google wants to be able to do the latter as well.

The mind reading algorithm

Google wants to understand what is on your mind, well, before its on your mind.

Consider Google Now as ultimately being part of this mix. Imagine being able to have Google address search queries like these:

  1. Where do I find someone that can install my surround sound system?
  2. What year did the Sox lose that one game playoff?
  3. What are the predictions for the price of gas next summer?
  4. What time is my dinner on Tuesday night, where is it, and how do I get there?

No, these queries will not work right now, but it gives you some idea of where this is all headed.

These all require quite a bit of semantic analysis, as well as pulling in additional information including your personal context.

The 4th question I added was to show that Google is not likely to care if the search is happening across web sites, in your address book, or both. Not all of this is Hummingbird, per se, but it is all part of the larger landscape.

To give you an idea on how long this has taken to build, Google’s Amit Singhal first filed a patent called Search queries improved based on query semantic information in March of 2003. In short, development of this technology has taken a very long time, and is a very big deal.

Read more The influence of Google Hummingbird Algorithm on SEO

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  • May 17, 2019
  • -

The secret of Google rankings

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Category : SEO News

Since Ranker’s launch in 2009, the site has amassed more than 100,000 rankings across dozens of broad categories, encompassing almost any topic that people could have a passion for.

When the website first launched, however, it had very few resources, and Benson explains that he had to learn SEO from scratch in order to give the website a strong foundation.

Luckily, earning traffic was never a problem for the site, because the type of content published on Ranker was uniquely suited to catering to Google’s algorithms.

“We’ve never been hit by any algorithm changes – we’ve always grown our organic search traffic year over year over year, steadily, for the eight and a half years we’ve been live.

“You never exactly know what works in SEO, because Google doesn’t tell you what works, but I’ve always believed that the best intelligence on what to do comes from the public statements Google makes – their best practices.

“And one of the key factors that Google says is in their index is freshness of content. Content has a lifespan. In our case, because our rankings are dynamic and always changing – people are adding things to them, voting things up and down – this makes for perpetually fresh content.

“We have a lot of content that is six, seven, even eight years old that is still doing as well as it was years ago, and in some cases it’s even growing in traffic.”

One of Ranker’s most evergreen pieces of content is a list ranking the ‘Best Movies of All Time’ – which is more than 5,000 items long.

“Obviously that’s a topic that there’s a lot of passion and a lot of competition for [in search rankings]. And in the last few years, we’ve been on the top three or so results on Google for that term.

“We’ve watched that page just grow in rankings over the span of seven or eight years. I can only guess it’s because the page is always changing.”

User-curated content

At the time of writing this article, Ranker’s front page is currently spotlighting a list of best-dressed celebs at the 2018 Oscars, a best TV episode names ranking, and a list of possible game-changing deep space observations to be made by the Webb Telescope.

Anyone can add an item to a list on Ranker, although Ranker’s content is not purely user-generated. Ranker has an editorial team which is made up of people who, in Benson’s words, “have a mind for cataloging things” rather than people who specialize in writing a lot of prose.

Lists are typically started off by one of Ranker’s editors, and when a user wants to add a new item to a list, it’s cross-referenced with Ranker’s database, a huge data set made up of more than 28 million people, places and things. If the item isn’t found in the database, it’s added to a moderation queue.

Rather than UGC (user-generated content), therefore, Benson thinks of Ranker’s lists as something he terms UCC – user-curated content.

How did Ranker build such a huge data set? Beginning in 2007, a company called Metaweb ran an open source, collaborative knowledge base called Freebase, which contained data harvested from sources such as Wikipedia, the Notable Names Database, Fashion Model Directory and MusicBrainz, along with user-submitted wiki contributions.

This knowledge base made up a large part of Ranker’s data set. What’s interesting is that Freebase was later acquired by none other than Google – and is the foundation of Google’s Knowledge Graph.

Additionally, not every list on Ranker is crowdsourced or voted on. Some lists, such as Everyone Who Has Been Fired Or Resigned From The Trump Administration So Far, don’t make sense to have users voting on them, but are kept fresh with the addition of new items whenever the topic is in the news.

Can other websites do ‘Ranker SEO’?

Benson acknowledges that Ranker’s setup is fairly unique, and so it isn’t necessarily possible to emulate its success with SEO by trying to do the same thing – unless you just happen to have your own crowdsourced, user-curated list website, of course.

With that said, there are still some practical lessons that website owners, particularly publishers, can take away from Ranker’s success and apply to their own SEO strategy.

Read more The basical knowledges of Google Panda Algorithm

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  • May 16, 2019
  • -

How Often Does Google Update Its Algorithm?

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Category : SEO News

Our first peek into this data came in spring of 2010, when Google’s Matt Cutts revealed that “on average, [Google] tends to roll out 350–400 things per year.” It wasn’t an exact number, but given that SEOs at the time (and to this day) were tracking at most dozens of algorithm changes, the idea of roughly one change per day was eye-opening.

In fall of 2011, Eric Schmidt was called to testify before Congress, and revealed our first precise update count and an even more shocking scope of testing and changes:

“To give you a sense of the scale of the changes that Google considers, in 2010 we conducted 13,311 precision evaluations to see whether proposed algorithm changes improved the quality of its search results, 8,157 side-by-side experiments where it presented two sets of search results to a panel of human testers and had the evaluators rank which set of results was better, and 2,800 click evaluations to see how a small sample of real-life Google users responded to the change. Ultimately, the process resulted in 516 changes that were determined to be useful to users based on the data and, therefore, were made to Google’s algorithm.”

Later, Google would reveal similar data in an online feature called “How Search Works.” Unfortunately, some of the earlier years are only available via the Internet Archive, but here’s a screenshot from 2012:

Note that Google uses “launches” and “improvements” somewhat interchangeably. This diagram provided a fascinating peek into Google’s process, and also revealed a startling jump from 13,311 precisions evaluations (changes that were shown to human evaluators) to 118,812 in just two years.

Is the Google algorithm heating up?

Since MozCast has kept the same keyword set since almost the beginning of data collection, we’re able to make some long-term comparisons. The graph below represents five years of temperatures. Note that the system was originally tuned (in early 2012) to an average temperature of 70°F. The redder the bar, the hotter the temperature …

You’ll notice that the temperature ranges aren’t fixed — instead, I’ve split the label into eight roughly equal buckets (i.e. they represent the same number of days). This gives us a little more sensitivity in the more common ranges.

The trend is pretty clear. The latter half of this 5-year timeframe has clearly been hotter than the first half. While warming trend is evident, though, it’s not a steady increase over time like Google’s update counts might suggest. Instead, we see a stark shift in the fall of 2016 and a very hot summer of 2017. More recently, we’ve actually seen signs of cooling. Below are the means and medians for each year (note that 2014 and 2019 are partial years):

  • 2019 – 83.7° / 82.0°
  • 2018 – 89.9° / 88.0°
  • 2017 – 94.0° / 93.7°
  • 2016 – 75.1° / 73.7°
  • 2015 – 62.9° / 60.3°
  • 2014 – 65.8° / 65.9°

Note that search engine rankings are naturally noisy, and our error measurements tend to be large (making day-to-day changes hard to interpret). The difference from 2015 to 2017, however, is clearly significant.

Are there really 9 updates per day?

No, there are only 8.86 – feel better? Ok, that’s probably not what you meant. Even back in 2009, Matt Cutts said something pretty interesting that seems to have been lost in the mists of time…

“We might batch [algorithm changes] up and go to a meeting once a week where we talk about 8 or 10 or 12 or 6 different things that we would want to launch, but then after those get approved … those will roll out as we can get them into production.”

In 2016, I did a study of algorithm flux that demonstrated a weekly pattern evident during clearer episodes of ranking changes. From a software engineering standpoint, this just makes sense — updates have to be approved and tend to be rolled out in batches. So, while measuring a daily average may help illustrate the rate of change, it probably has very little basis in the reality of how Google handles algorithm updates.

Do all of these algo updates matter?

Some changes are small. Many improvements are likely not even things we in the SEO industry would consider “algorithm updates” — they could be new features, for example, or UI changes.

As SERP verticals and features evolve, and new elements are added, there are also more moving parts subject to being fixed and improved. Local SEO, for example, has clearly seen an accelerated rate of change over the past 2-3 years. So, we’d naturally expect the overall rate of change to increase.

A lot of this is also in the eye of the beholder. Let’s say Google makes an update to how they handle misspelled words in Korean. For most of us in the United States, that change isn’t going to be actionable. If you’re a Korean brand trying to rank for a commonly misspelled, high-volume term, this change could be huge. Some changes also are vertical-specific, representing radical change for one industry and little or no impact outside that niche.

On the other hand, you’ll hear comments in the industry along the lines of “There are 3,000 changes per year; stop worrying about it!” To me that’s like saying “The weather changes every day; stop worrying about it!” Yes, not every weather report is interesting, but I still want to know when it’s going to snow or if there’s a tornado coming my way. Recognizing that most updates won’t affect you is fine, but it’s a fallacy to stretch that into saying that no updates matter or that SEOs shouldn’t care about algorithm changes.

Ultimately, I believe it helps to know when major changes happen, if only to understand whether rankings shifted due something we did or something Google did. It’s also clear that the rate of change has accelerated, no matter how you measure it, and there’s no evidence to suggest that Google is slowing down.

Read more: How Often Does Google Update Its Algorithm?

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