Monthly Archives: August 2019

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The important knowledges of Google Hummingbird Algorithm

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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How could Google Pigeon affect websites and SEO

The change in Google’s Pigeon Rank Algorithm has affected the local search listings, and this is visible on the Google Web and Google Maps Search Results page. Major changes have been made behind the curtain, and the ripples are beginning to show on the surface. Due to this change, local businesses might have noticed slight amounts of increase or decrease in the leads generated, website referrals and online business. The latest Google Search Engine Algorithm shares deeper roots with their search results capabilities, consisting of the numerous ranking signals that are used every day in web search along with search tools such as spelling correction, Knowledge Graph and synonyms, etc. In addition to these factors, the latest Google Algorithm Updates improve on their present distance and location ranking parameters.

Who Benefitted From the Pigeon Update?

Not everyone complained after the latest local algorithm update. As previously mentioned, directories seemed to get a boost, and, so did certain queries. The latest analysis using BrightEdge’s massive data set from June to August shows an uptick in the results for queries related to the following:

  • Hospitality (28 percent growth in Google Places results)
  • Food (19 percent growth in the Google Places results)
  • Education (13 percent growth in the Google Places results)

Additional wins occurred in smaller percentages for queries related to:

  • Spa +4.64 percent
  • Shop +4.32 percent
  • Law +3.55 percent
  • Medical +1.83 percent
  • Transportation +1.31 percent
  • Fitness +1.12 percent

Who Experienced a Loss From the Pigeon Update?

According to the analysis in BrightEdge’s data set, we found queries related to the following topics being the most negatively impacted by Pigeon:

  • Jobs (68 percent decline in Google Places results)
  • Real estate (63 percent decline in the Google Places results)
  • Movies (36 percent decline in the Google Places results)
  • Insurance (11 percent decline in the Google Places results)

Reports across the Web from multiple sources show real estate queries experiencing dire consequences from Pigeon, and as you can see, the BrightEdge data confirms the same.

Other queries related to the following showed somewhat negligible losses:

  • Finance -6.21 percent
  • Furniture -3.34 percent
  • Government -0.07 percent

The following is a table of the findings. Note that some of the queries were difficult to classify in the analysis, so the industry data by row does not add up to “all” data.

google-pigeon-impact

How does “Pigeon” affect you and your business?

1. A lower number of queries included in a local listing pack on SERPs (there are usually 7 listings)

MozCast’s data shows a 23.4% decrease in the queries that are showing a local listing pack.
You may experience a drop in your website’s traffic due to the disappearance of some of your local listings.

2. Local rankings are taking an old-school route

Local search rankings are now being influenced more by traditional Web search ranking signals (domain authority, backlinks and many other SEO ranking factors).
If you see a decline in your local rankings, it may mean your competition’s general website/page SEO characteristics are stronger than yours.

3. Yelp and other well-known local directories are now your new best friend

Data shows that local directories have gotten a major boost in search rankings.
Your official business website or store pages may be displaced by store listings from directories.

4. Local Carousel still has your back

Judging by the looks of it, local carousel results remain unchanged so you’ll still be able to get some extra exposure from it.
Make sure you pick out a nice, high-quality photo for your Google+ business profile because that is the picture that is going to show up in the carousel.

and what else?

According to the first post-update research, Yelp and other local directory sites have seen a considerable boost in rankings. For some queries, the entire SERP (search engine results page) is built from well-known local directories only.

If over the past few days your website has encountered a traffic drop, this may well be due to the disappearance of your local listings on the first page of Google. If that is the case, in the short run you may need to cover the traffic losses with a PPC campaign, and in the long run — focus on getting Web search listings for those keywords.

Google is going back to the more traditional ranking signals such as domain authority, backlinks and all kinds of other SEO rankings factors. Simply speaking, this may mean that local rankings will now be more determined by how well your meta data is structured, the age of your site and how you use your header tags.

Read more What is exactly Google Pigeon Algorithm?

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What is exactly Google Pigeon Algorithm?

Launched: July 2014

It aims to affect the ranking of local listings in a search. This algorithm will also affect Google Maps along with Google search. It currently is working in US English results and soon will be working with other languages. It is aimed to improve results using the searcher’s location.

It will give preference to local websites and have a dramatic effect on local businesses. However, it got mixed responses from critics saying that ranking will decrease as a result of this algorithm. It uses the location and distance of a user as its key strategy. This way the local directory listings get preference over other websites.

It was a significant change to how Google ranked and ordered the local search results both for local queries in Google search, and within Google Maps.

Indeed, some are referring to Pigeon as the biggest Google update to the local search results since the Venice update in 2012. Google said the latest update would make local search more closely mimic traditional organic rankings.

Early reports showed consistent feedback that specific queries and sectors had been impacted, like real estate, and that directories were now being favored in the results above local businesses (possibly due to the authority of a directory site like Yelp over a local business’s site).

So what exactly is “Pigeon”?

  • The main reason for this update is to provide local search results that are more relevant and accurate.
  • Pigeon isn’t trying to clean up the SERPS from low-quality content like its predecessors
  • The foundation of the change is within the local search ranking algorithm.
  • Currently for all we know, this update only affects US English results.

Read more How could Google Pigeon affect websites and SEO

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What to know about Google Mobile Friendly Algorithm Update

One of the biggest worries about “mobilegeddon” was that Google was going to start ranking mobile-friendly websites higher on their search results pages, leaving non-mobile-friendly websites behind in the dust. This was expected to be particularly damaging to smaller businesses that didn’t have the resources to create a responsive website design or a separate mobile version of their website.

What Is Mobile Friendly

A web page is tagged eligible for ranking as mobile friendly if it meets the following criteria, as detected in real time by Googlebot.

  • Avoids software that is not common on mobile devices
  • Utilises text that can be read without zooming
  • Sizes content to the screen so users don’t have to zoom or scroll horizontally
  • Spaces links far enough apart so that the chosen one can be tapped easily

This isn’t exactly what the Google mobile-friendly algorithm update does. Yes, the algorithm does rank mobile-friendly websites higher now – but only for mobile searches, which – once you think about it – is completely logical.

Websites that doesn’t target mobile users – for example, websites that publishes long, in-depth research papers – aren’t going to be punished. Their ranking will remain the same for searches done via desktop or laptop. However, their ranking will drop for searches done on mobile devices. This won’t affect websites whose audiences aren’t searching for them on mobile devices.

What Happens If Your Site Is Not Mobile Friendly?

If your site is not mobile friendly and is difficult to use on handheld devices then Google will penalise it and rank it lower on it’s mobile search results. To give publishers even more of an incentive to offer mobile friendly pages, Google announced that in May 2016  it will increase the importance of having mobile pages and that sites that are not mobile friendly will rank even lower than before.

Google stated that when it first introduced this as a ranking criteria last year, the premise was to give mobile users a better search experience. Most publishers and site owners have taken heed of this notification and developed their sites accordingly.

It is without doubt that mobile searches are now a high proportion of traffic on any site and will only increase in volume. It will only be a matter of time before mobile use overtakes any other type of search and it will be imperative for the success of any site that it is mobile friendly.

If your website is not optimised for mobile devices it will no longer appear in the top Google search results for mobile, meaning low visibility from mobile users and a reduction in overall website traffic. With 25% of all searches coming from mobile devices this loss in traffic could seriously limit the opportunities you have to reach and engage your potential customers. To ensure you’re still seen, consider optimising your website with a responsive design solution. Responsive design allows you to build or retro fit one core web solution, which then adapts based on the device being used, whether it is desktop, mobile or tablet. It is the ultimate in usability, enabling you to deliver content from one source to users on any device. With mobile browsing only set to increase and Google now taking action to accommodate this shift businesses would be wise to follow suit

How it impacts on

The update will impact search results in two key ways:

1. More mobile-friendly results will display in search.
This means that sites optimised for mobile devices will be prioritised in search results. This is a significant change, and will affect mobile searches worldwide, and across all languages.
2. More relevant app content will display in search results. 
Google have already started to consider content from indexed apps as a ranking factor via the introduction of App Indexing. This means signed-in users who have a particular app installed will receive relevant app content more prominently in search.

Previous updates have pushed towards mobile compliance by encouraging sites to be correctly configured and accessible via modern devices. As over half of all search is already conducted via mobile, and with the continued rise of smartwatches and tablets, mobile compliance has never been more important.

Read more How to test Mobile Friendly Compatibility for your website

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How to test Mobile Friendly Compatibility for your website

The mobile-friendly algorithm is a page-by-page signal, so it can take time for Google to assess each page, and that may be why it will be a gradual rollout. And depending on how fast Google crawls and indexes all of the pages on your site, the impact can be slow to show up.

It is believed that this rollout will have less impact than the original mobile-friendly update, which was called “Mobilegeddon,” which was supposed to have a significant impact on the mobile results, but not everyone said it had that much of an impact.

If you are not mobile-friendly, or if you want to ensure you are, check the Google mobile-friendly tool, and check Google’s mobile guidelines.

Here’s the guide

Does Your Website Pass the Mobile-Friendliness Test?

Google is making it simple for companies to test their website and ensure that you have a mobile-friendly site. They have created a tool called the “Mobile-Friendly Test” where you can type in your web address and see if you meet the new standard. When you pass the test, it looks something like this:

Screen_Shot_2015-04-20_at_1.38.34_PM

If you don’t pass the test Google will give you insights as to why it didn’t pass and will look something like this:

Screen_Shot_2015-04-20_at_1.49.49_PM

What Happens if You Don’t Pass?

If your site isn’t fully optimized for mobile devices, you will likely see a hit to your ranking on mobile searches. What that means is you need to have a mobile site up and running in the near term. Here’s where to start:

Decide How You Will Optimize for Mobile

There are several approaches for optimizing your site for mobile devices. Choose one of the following that works for you:

  • Responsive Design – Responsive Design is the number one choice by Google for mobile optimization design patterns. Choosing responsive design is desirable because it only uses one URL for your site rather than a mobile URL and a desktop URL.
    NOTE: If you’re already hosted on HubSpot’s COS then you’re optimized with responsive design. If you’re not already hosted on the COS but need to move to it now,
  • Dynamic Serving – Dynamic serving changes the HTML of your website while keeping the same URL. Instead of shrinking and optimizing one design, dynamic serving figures out what kind of device the user is experiencing your website with and changes up to code to show something different. This is a more complicated process, but offers an optimized result as well.
    NOTE: This approach is known to be a lot more error-prone so beware before choosing this option.
  • Separate Mobile Website – When mobile optimized sites first started to come to light, this was the way to create them. Instead of using one URL, a mobile website is essentially a new website built for your company for mobile purposes. It’s onerous for Google though. It means that they have to crawl two websites and two versions of your content. If you already have this in place, make sure it works properly. If you’re considering this option, make sure the other two aren’t better fits first.

Read more What to know about Google Mobile Friendly Algorithm Update

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When Does Google RankBrain Algorithm Influence a Query Result

RankBrain used a set of databases based on people, places, and objects (also called entities) to define the algorithm and its automatic learning processes.

These words (queries) are then decomposed into word vectors using a mathematical formula to give these words an “address”. Similar words have similar “directions”.

When Google processes an unknown query, those math relationships are used to better match the query and return multiple related results.

Over time, Google refines results based on user interaction and machine learning to improve the match between users’ search intent and search results returned by Google.

It is important to note that the words the search engines used to throw the words “and” or “they” were not included in the RankBrain analysis. RankBrain is also designed to help understand queries to get the best results, especially for queries with negative targeting. For example, queries that use words like “no” or “no”.

Short of actually being able to read a website’s content, RankBrain is able to identify the context of keywords in a webpage or website.

By doing this it is able to provide search results based on a user’s ‘true’ intent (as opposed to blindly matching those websites that just contain the words that you typed).

It interprets your language and queries – whether you use formal or colloquial terms – then relates them to other similar searches based on previous intent and results. This will then give you the closest results to what you meant by your query.

Borrowing Google’s own example, the query “what is the label of a consumer at the highest level of a food chain?” sounds gibberish to anyone but the user.

With RankBrain, however, Google can make a guess as to what these unfamiliar words mean.

This then allows Google to interpret the query that matched the user’s intent, providing results that detail, in this instance, where a consumer fits in the food chain.

When Google RankBrain Algorithm Influencing a Query Result

RankBrain addresses query in all languages ​​and in all countries.

If RankBrain is most involved, the query is unique and unknown.

For example, prior to Google RankBrain’s announcement, I wrote an article about something that I observed during my own research on Google.

It started when I was looking for information on water rights in Nevada during the drought in California. (We share a river with them). When I looked at the water rights in Clark County or Las Vegas, there was much information about Google on this topic. However, when I looked around for the water rights of Mesquite NV (a city 90 km north), I regained the water authority and nothing in connection with the water usage rights. Water Instead I have sided with mesquite trees, mesquite wood, mesquite barbecue chips, etc.

At that time I did not know what his name was, it was that he existed. We know that now thanks to RankBrain.

Why? Since Google did not know in what relation the mesquite “thing or place” stands to the water rights of “water”, a “kitchen sink” of the results was sent.

The idea of ​​the “best option” is that over time Google will find out which option best suits this query.

If you’ve been searching for a long time, you can remember when you did a search, and Google will show you the actual words used in that search (despite your input). He was the predecessor of RankBrain.

Read more Clever ways to optimize your website for RankBrain

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Clever ways to optimize your website for RankBrain

RankBrain used a set of databases based on people, places, and objects (also called entities) to define the algorithm and its automatic learning processes.

These words (queries) are then decomposed into word vectors using a mathematical formula to give these words an “address”. Similar words have similar “directions”.

When Google processes an unknown query, those math relationships are used to better match the query and return multiple related results.

Over time, Google refines results based on user interaction and machine learning to improve the match between users’ search intent and search results returned by Google.

It is important to note that the words the search engines used to throw the words “and” or “they” were not included in the RankBrain analysis. RankBrain is also designed to help understand queries to get the best results, especially for queries with negative targeting. For example, queries that use words like “no” or “no”.

But if you’re still writing good content, you’re probably wondering what else you can do. What can this “advantage” bring you? How can you optimize this “classification signal”?

This answer to this question is not an answer, but another question:

Why would you try it?

RankBrain can be beneficial for some unique use cases. For most sites, however, the time and energy spent on classifying an unknown Google query (that is, nobody uses it) would be much better used for other tasks.

In fact, not only is it trying to optimize a query that few users are using, it is constantly changing.

RankBrain results should change and provide better results. Therefore, optimization is an attempt to constantly hit a moving target.

The best advice? Follow the advice of Illyes.

You must write good content.

You must make sure it sounds natural.

this is how you can optimize for RankBrain Algorithm

If you want to obtain a good rank in Google searches, you need to optimize your website and content for RankBrain. In the absence of these techniques, your website might quickly lose relevance and you’ll notice a drop in your click-throughs.

How big of a difference are we talking about?

If a website’s click-through rate decreases, the amount of user data for the website decreases. When that happens, RankBrain has fewer data points to judge its relevance.

That means that your website won’t show up in the top results. Over a period of time, your visibility will be greatly reduced.

How quickly can this happen? Quicker than you think. As Google’s confidence in RankBrain increases, you’ll soon see that your old SEO tactics are no longer bearing fruit.

So, how can you optimize your website and content for RankBrain? Here are a few surefire ways of getting RankBrain to work in your favor.

1. Build Your Website’s Reputation

Spend some time to understand what your audience likes to read. What type of content do they spend more time on?

For example, if your target audience is new moms, they’re most likely to be interested in topics related to infants or toddlers. Understand what your audience likes, and create more content around such topics.

However, creating content isn’t enough. To build your website’s reputation, you need to work on obtaining quality backlinks. You can guest post on high-authority websites that have a similar target audience. This can give you more traffic as well as greater visibility.

Try to create content that’s engaging. Feel free to embed videos, images, gifs, or any other media content. This can help you increase engagement which helps to build your reputation.

The more time a user spends on your website, the more relevant it appears to RankBrain. You should also share your content on social media to get greater engagement.

2. Optimize for Medium Tail Keywords

The way RankBrain works, long-tail keywords are likely to be history soon. Earlier Google used to fetch results based on exact keywords used. So, you would get different results for “best speakers for computer” and “best computer speakers.”

However, RankBrain understands that both these search queries mean the exact same thing. So it gives the same search results.

The best way to optimize for RankBrain is to optimize for medium-tail keywords. Optimizing for medium-tail keywords provides for automatic optimization for long-tail keywords in RankBrain.

This also requires you to create more quality content. This makes it easier to optimize it for medium-tail keywords.

3. Create Content that Addresses User Intent

RankBrain puts the focus back on content. If you have good content, you can easily optimize your website.

If your content is not good, your click-through rate (CTR) will drop. Readers will not come back to your website and it will lead to a lower ranking in RankBrain.

It might seem like RankBrain is making it tougher for websites to get better rankings. But there’s a silver lining to it.

You don’t need to focus too much on finding relevant keywords. If you’re writing an article about desserts, RankBrain will pick up “desserts” and its related terms as keywords. So, words like “sweets” and “sweet dish” will also be considered as keywords.

With RankBrain, your article might rank for queries related to desserts as well as sweet dishes. So keyword density shouldn’t be your focus anymore.

You should focus more on addressing user intent through your content. This is because quality content is all that matters for readers. Quality content focused on user intent will bring in higher CTR.

Since RankBrain improves the quality of search results, it also collects information about user satisfaction.

For example, someone clicks on the #1 result for a query but doesn’t find it useful. Then they click on the next result in the SERPs. And they continue to do so until they find what they are looking for. When they do find what they want, they stay on that page longer. And that is an indication of satisfaction.

As a result, those results towards the top may notice a drop in their rankings. Also, the one that was able to satisfy the user’s intent, gets a boost in rankings.

So it’s important to make your content informative, engaging, and useful. Try to pick topics that your target audience might be interested in and write longer, useful content that answers all possible questions about that topic.

4. Increase Your Click-Through Rates

Google’s quality score algorithm rates your website based on your keywords and quality of content. The click-through rate is an important part of the quality score algorithm.

It gives an idea of the overall user experience of the website. The higher the CTR, the better it is for your website.

As RankBrain learns from human decisions, you need to ensure that users click on your links. A higher click-through rate is critical for the success of your RankBrain SEO strategy.

A great way of getting a higher CTR is to ensure that your content is well-written. You also need to optimize your landing pages to increase your CTR.

Wikipedia has a high CTR, authority, and a great reputation. And so, it ranks higher in Google search results. Wikipedia outranks a really large number of websites. This happens because the website’s content is relevant, engaging, and people come back to it.

Read more The affection of Google RankBrain Algorithm on your website

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Please contact us for seo service packages at TDHSEO.COM.

TDHSEO Team

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Thank you!


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The affection of Google RankBrain Algorithm on your website

The most important thing for the RankBrain algorithm is content that is created for users and provides real information. Therefore, you should better reflect your content and focus on information rather than inflating your text with empty sentences.

The RankBrain algorithm wants to better understand your content. For this reason, it is important to help Google when reviewing content on your website.

Instead of concentrating on a single keyword, provide users with full content by quoting from different sources. In addition, you can repeat your keywords several times in your text to get high on Google.

First Assumption – User Behavior is Shifting and will Shift even Further

Since search results are becoming better and better in terms of relevance to the user, getting to the top 3 spot – whether that spot is a local listing, a knowledge graph listing, etc – so long as it’s an organic listing and not paid (since paid has an obvious yellow button-like label that says ‘Ad’) it will get more clicks from users now more than ever.

The top 3 spots will eat up the clicks of the rest of the SERP listings. That’s because people are getting more and more satisfied with the results of the top 3 spots that we have a natural tendency to just check out the top 3 and we’re almost sure that we’ll be satisfied with the results.

Second Assumption – Competition is Going to get Tighter

Search took a leap up the competitive ladder. What RankBrain really did is prioritize meaningful results. “Strings to Things” isn’t all that friendly to those playing the search game primarily for traffic. All the articles that are less comprehensive than its 10x counterparts will drop in rankings. Only the best will get ranked – all the other mediocre results will start to fall off.

Search is a zero-sum game. It’s always been. And just when we thought the game wasn’t getting any harder, it bites us back in the ass.

Third Assumption – Machine Learning will Crush Spam and Black Hat Practices

We can conclude that this is the beginning of numerous years of machine learning being incorporated into Google (because it worked better than they thought it would). Considering the direction of Google has been to fight spam and close up loopholes (we’ve felt the effect of this quite strongly since 2010), it’s a surprise that RankBrain is not an algorithm that targets black hat tactics.

That being said, I think that the next machine-learning algorithm Google will launch after RankBrain would deal strongly with fighting spam and loopholes. If RankBrain worked better than they expected, I’m quite sure that they will use the positive result in shutting down spam and black hat problems.

Fourth Assumption – You can affect RankBrain

Google feeds RankBrain ‘offline’ data. Meaning it does not learn on the internet as it is. What Google thinks is good enough to feed to RankBrain, that’s what they feed it. So coining terms that spread such as ‘Growth Hacking’ or ‘Inbound Marketing’ or ‘Link Earning’ could actually signal that you are an authority in such a term and concept.

If this is fed to RankBrain and it recognizes you as the source of the term, that could turn out to be a positive signal for your site and all that is related to it. It’s not easy, but it’s definitely something that I assume could affect the algorithm as it is fed.

Read more What is Google RankBrain and How Does it Work?

_______________________________________________________________________________

Please contact us for seo service packages at TDHSEO.COM.

TDHSEO Team

Email: tdhseo@gmail.com
Skype: tdhseo
https://www.facebook.com/tdhseo

Thank you!


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What is Google RankBrain and How Does it Work?

RankBrain, artificial intelligence (AI) program is used to help process Google search queries. It is designed as a machine learning system so that it can embed vast amounts of written language into mathematical entities (vectors) that the computer can understand.

RankBrain is unique because, when it sees an unfamiliar word or phrase it uses AI to instantly search terms that have a similar meaning that a user has typed. Next, it filters the result accordingly.

rankbrain-artificial-intelligence-program

Google has taken this exceptional initiative to give its users only the most useful results for their search queries. Google’s goal is to offer the searchers the most appropriate and relevant content. According to Google, RankBrain offers different results in different countries for the same query.  This is because the measurements in each state are different, despite the similar names.

Does Google RankBrain Work?

Is the AI doing a good job? So far, it seems like it. After all, Google promoted it from merely processing parts of the unknown key phrases to using it for all search queries.

And why wouldn’t they? After all, RankBrain appears to be doing a better job at improving search results than the Google engineers themselves. In fact, when it was pitted against a number of engineers to find the best page for a search query, the AI outperformed the humans by 10 percent.

 

Quite impressive, isn’t it?

The cool thing about RankBrain is that, in contrast to global changes to the search algorithm, it can improve search results on a per-keyword basis. This makes the SERPs more precise than before and allows for more granular improvements.

Also, ironically, even though RankBrain is a machine learning algorithm, it actually increases the influence of human users on search results. That’s because the AI can use direct feedback from how users interact with your content to judge its quality. For that reason, you need to focus less on pleasing the machines (read algorithm) and more on actually swaying people to click on your stuff.

RankBrain is a machine that learns the artificial intelligence system, transforming letters and numbers into a mathematical algorithm. While this is a technical definition for RankBrain, Google uses this algorithm to improve its search results. With RankBrain, Google learns what users want, what they’re looking for, and plans to deliver better results to users. Search location, keywords entered, etc. By taking into account the variables, Google aims to learn exactly what the user is looking for and how they try to reach a conclusion.

The RankBrain algorithm is considered the third most important factor that evaluates which results should be shown in any search based on Google sources. RankBrain also affects less than 25 per cent of searches worldwide.

Read more When Does Google RankBrain Algorithm Influence a Query Result

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Please contact us for seo service packages at TDHSEO.COM.

TDHSEO Team

Email: tdhseo@gmail.com
Skype: tdhseo
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How will Google Possum Algorithm change local SEO

The latest algorithm update, called by SEO experts s Possum algorithm affects the local search and appearance of the business listing. The ranking of 3 pack and local results are affected by the algorithm.

Many local businesses that have an office address outside the main city but found it difficult to get ranked in the searches. The Possum update is going to boost the local rankings of these businesses. This is good for the businesses as they can now get listed for the keywords including the city name for their services though they are having their physical address outside the city.

Google filters the results of the businesses with the same domain name or phone number. It only shows one or two search results. The latest Possum update is now filtering more such businesses. Now any business can not show up in the search results if they are located in the same building or if the owner is the same even if the business names are different etc.

The Google Possum update made the local search result filtering more sophisticated. There is no need to worry about dropping of local rankings as the update is not going to hurt the rankings. The rankings actually will go up organically for competitive keywords.

Separation between local and organic search

Local and organic search are drifting apart with the latest update. For example, in the past if the URL you were linking to in your GMB listing was filtered organically, it would have had a negative impact. Since the update, this no longer seems to be the case.

Many local businesses will likely see positive results from this, while businesses without a local market might face some competition for rankings.

Location and affiliation

Google is now filtering based on address and affiliation. For businesses that fall outside city limits, ranking for keywords that included that city name was difficult. Since Possum, these businesses have seen a huge spike in rankings.

Conversely, this may cause rankings to drop for clients with one main GMB listing and several affiliated GMB listings.

For example, we have a client who owns a clinic with a primary location, but has separate GMB listings for individual doctors. Google isn’t necessarily removing the listing or enforcing a penalty, but is simply picking the most relevant listing and filtering out the others that are too similar – in some cases, Google is suspected to be going as far as to find an affiliation by owner, even if addresses, phone numbers, websites and Google accounts are separate.

These listing haven’t disappeared, and can be viewed by zooming in further on the local finder.

The location of the user

If you’re searching from a different physical location other than that of the business, you’re likely going to encounter a completely different result. As a general rule of Possum: the further the distance, the lower the ranking. This is unsurprising as many local businesses are looking to optimize for “near me” searches, which doubled from 2014 to 2015.

Read more How does Google Possum Algorithm change search results

_______________________________________________________________________________

Please contact us for seo service packages at TDHSEO.COM.

TDHSEO Team

Email: tdhseo@gmail.com
Skype: tdhseo
https://www.facebook.com/tdhseo

Thank you!