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Turn Domain Bias In Search Results To Your Advantage

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Has Hummingbird changed SEO forever?

Immediate repercussions weren’t as big as expected

There seems to be a contrast between the severity of the change as stated by Google and its repercussions within the search results.

This leads us to conclude that although Hummingbird is a significant move, it is an upgrade in capabilities and that we will see the full impact of this change over the coming months and years.

What will Hummingbird allow Google to do?

Hummingbird allows Google to understand user intent more closely, with greater understanding of words like ‘how’ ‘why’, ‘where’ and ”when’, as well as the user intent that sits behind these word.  

In combination, this helps Google deal with more complex, long-tail queries. This will allow Google to handle voice activated search queries more effectively, to keep up with their rising popularity on mobile devices (including Google Glass).

Having a better understanding of search query phrasing and the results users are looking for allows Google to make more use of its ‘answer engine’, the Knowledge Graph.

Why did Google launch Hummingbird?

Google needed to make this change to ensure its Search product is robust at answering users’ conversational-based queries in the mobile space, following its long-term mobile push.

In 2013, Google’s mobile initiatives included the launch of AdWords Enhanced Campaigns, Google Now on iOS and the redesign of the search results using the ubiquitous card layout.

This algorithm change to Hummingbird will support the mobile offering by allowing people to be more conversational with their search queries.

Google has made no secret of the fact it desires to become an answer engine, answering users’ questions rather than providing a list of URLs and I wrote about this trend on Econsultancy a year and a half ago.

Hummingbird makes greater use of the Knowledge Graph to provide content and increase the amount of time (and number of clicks) within Google.

What does Hummingbird mean for the future of SEO?

1. Natural language queries

  • Conversational search: With Google providing users with better search results to long tail ‘conversational search’ queries, this will likely encourage users to make longer search queries and use voice activated search more frequently.
  • Decline of the short tail: As users make more conversational search queries, the volume in the short tail will fall and SEO will become more about providing users with the right meaningful content as opposed to optimising existing content for high volume driving keywords.

    Matt Cutts, Head of Web Spam at Google, noted that: “the future is about things, not [keyword] strings”.

  • Content rather than keywords: In late 2012, Google stopped SEO tool providers, like SEMrush and RavenTools, from using organic ranking metrics alongside data pulled from the AdWords API.

    Further to this, Google began redirecting all users to SSL encrypted pages in September 2012, preventing Analytics from tracking keyword data.

    Not only is Google actively pushing the SEO community away from relying on keywords, but the expansion of pronoun capabilities in the algorithm will stop users typing them as frequently too (e.g. Google will understand a search of ‘how old is he’ or ‘how tall is it’ after a specific search for a person or landmark).

  • Greater fragmentation: SEOs will need to rely on device data to help determine intent (e.g. mobile users being more likely to look for local/nearby stores, desktop users potentially more likely to be at work etc.).

    One individual user may potentially move from mobile to tablet to desktop in the length of a single commute.

2. Improved search functionality

  • Websites must compete with the SERPs themselves: Google’s increased functionality means users will be less likely to click through to third-party pages unless it offers new information.

    Previously, a search for ‘movies starring chevy chase‘ would likely cause users to quickly click through to IMDB. Now, a visually-appealing list of movies that can be sorted by age or popularity appears, letting users explore each one without leaving Google. Similar functionality now even exists for a comparative search, such as “foul play vs caddyshack”.

    Google Hummingbird

  • Popular searches will become even more popular: Google also displays results for searches with no definitive answers. For example, ‘surrealist authors‘ or ‘best presidents‘, based on who is ‘frequently mentioned on the web’.

    Once users are accustomed to clicking on these images rather than reviewing an external website and searching on their own, the most frequently high listing terms are the ones that will receive the most clicks, exponentially.

  • Users will still search for opinions and other details: Even if Google’s Knowledge Graph framework is more widely adopted, people will always want more information and supporting opinions.

    A search for “popular bands 2013” may reveal a list of names to explore, but users will still need to click through to other sites for music samples or album reviews. Offering content that Google cannot replicate will be more crucial as the SERPs start containing more information.

3. Socialising of search

  • Google answers the questions you’d have asked on Facebook: The Hummingbird algorithm update is another step in ‘socialising search’ by attempting to answer the questions users may have otherwise simply asked their friends and peers on social networks.

    Competitors have offered similar functionality, most notable in Facebook’s Graph Search and Apple’s Siri, so Google is aware it needs a robust platform in place to meet this demand.

  • Importance of social content and conversations continues to grow: Generating relevant conversations will become more significant, with a brand’s networks, audiences and influencers playing a major factor in its website’s ranking in the SERPs (especially with the predicted up-weighting of Author Rank).

    With this in mind, combining SEO and Social efforts will be critical in the planning and delivery of effective online strategies.

Conclusion

While we haven’t seen Hummingbird drastically change the SERPs, there are some clear implications and the industry should take note.

SEO campaigns should focus on the delivery of excellent content, optimising this for a breadth of long tail semantically-related keywords and ensuring the content is accessible cross devices.

Importantly, the success of SEO campaigns can no longer be based simply upon the ranking of short tail keywords. Instead, content performance needs to be assessed within the whole of the search ecosystem.

As Google’s answers to users’ questions improves, more people will turn to Google; as such, we continue to encourage our clients to no longer consider Search as an optional channel within the media mix but to consider Search at the outset of campaigns.

With Google evolving into more of an ‘answer engine’, brands need to consider how they can influence the answers that Google gives users by creating authoritative and useful content.

How Google is Changing Long-Tail Search with Efforts Like Hummingbird – Whiteboard Friday

Posted by randfish

The Hummingbird update was different from the major algorithm updates like Penguin and Panda, revising core aspects of how Google understands what it finds on the pages it crawls. In today’s Whiteboard Friday, Rand explains what effect that has on long-tail searches, and how those continue to evolve.

Whiteboard Friday – How Google is Changing Long-Tail Search with Efforts Like Hummingbird

For reference, here’s a still of this week’s whiteboard!

Video Transcription

Howdy, Moz fans and welcome to another edition of Whiteboard Friday. This week I wanted to talk a little bit about Google Hummingbird slightly, but more broadly how Google has been making many efforts over the years to change how they deal with long-tail search.

Now long tail, if you’re not familiar already, is those queries that are usually lengthier in terms of number of words in the phrase and refer to more specific kinds of queries than the sort of head of the demand curve, which would be shorter queries, many more people performing them, and, generally speaking, the ones that in our profession, especially in the SEO world, the ones that we tend to care about. So those are the shorter phrases, the head of the demand curve, or the chunky middle of the demand curve versus the long tail.

Long tail, as Google has often mentioned, is a very big proportion of the Web search traffic. It’s anywhere from 20% to maybe 40% or even 50% of all the queries on the Web are in that long tail, sort of fewer than maybe 10 to 50 searches per month, in that bucket. Somewhere around 18% or 20% of all searches Google says are extremely long tail, meaning they’ve never seen them before, extremely unique kinds of searches.

I think Google struggles with this a little bit. They struggle from an advertising perspective because they’d like to be able to serve up great ads targeting those long-tail phrases, but inside of AdWords, Google’s Keyword Tool, for self-service advertising, it’s tough to choose those. Google doesn’t often show volume around them. Google themselves might have a tough time figuring out, “hey, is this query relevant to these types of results,” especially if it’s in a long tail.

So we’ve seen them get more and more sophisticated with content, context, and textual analysis over the years such that today, with the release of, in August according to Google, Hummingbird, which was an infrastructure update more so than an algorithmic update. You can think of Penguin or Panda as being algorithmic style updates, and Google Caffeine, which upgraded their speed, or Hummingbird, which they say upgrades their text processing and their content and context understanding mechanisms is affecting things today.

I’ll try and illustrate this with an example. Let’s say Google gets two search queries, “best restaurants SEA,” Seattle’s airport, that’s the airport code, the three-letter code, and “where to eat at Sea-Tac Airport in Terminal C.” Let’s say then that we’ve got a page here that’s been produced by someone who has listed the best restaurants at Sea-Tac, and they’ve ordered them by terminals.

So if you’re in Terminal A, Terminal B, Terminal C, it’s actually easy to walk between most of them except for N and S. I hope you never have to go N. It’s just a pain. S is even more of a pain. But in Terminal C, which I assume would be Beecher’s Cheese, because that place is incredible. It just opened. It’s super good. In Terminal C, they’ve got a Beecher’s Cheese, so they’ve got a listing for this.

A smart Google, an intelligent engineer at Google would go, “Man, you know, I’d really like to be able to serve up this page for this result. But it doesn’t target the words ‘where to eat’ or ‘Terminal C’ specifically, especially not in the title or the headline, the page title. How am I going to figure that out?” Well, with upgrades like what we’ve seen with Hummingbird, Google may be able to do more of this. So they essentially say, “I want to understand that this page can satisfy both of these kinds of results.”

This has some implications for the SEO world. On top of this, we’re also getting kind of biased away from long-tail search, because keyword (not provided) means it’s harder for an individual marketer to say: “Oh, are people searching for this? Are people searching for that? Is this bringing me traffic? Maybe I can optimize my page more towards it, optimize my content for it.”

So this kind of combination and this direction that we’re feeling from Google has a few impacts. Those include more traffic opportunities, opportunities for great content that isn’t necessarily doing a fantastic job at specific keyword targeting.

So this is kind of interesting from an SEO perspective, because we’re not saying, and I’m definitely not saying, stop doing keyword targeting, stop putting good keywords in your titles and making your pages contextually relevant to search queries. But I am saying if you do a good job of targeting this, best restaurants at SEA or best restaurants Sea-Tac, you might find yourself getting a lot more traffic for things like this. So there’s almost an increased benefit to producing that great content around this and serving, satisfying a number of needs that a search query’s intent might have.

Unfortunately, for some of us in the SEO world, it could get rougher for sites that are targeting a lot of mid and long-tail queries through keyword targeting that aren’t necessarily doing a fantastic job from a content perspective or from other algorithmic inputs. So if it’s the case that I just have to be ranking for a lot of long-tail phrases like this, but I don’t have a lot of the brand signals, link signals, social signals, user usage signals, I just have strong keyword signals, well, Google might be trying to say, “Hey, strong keyword signals doesn’t mean as much to us anymore because now we can take pages that we previously couldn’t connect to that query and connect them up.”

In general, what we’re talking about is Google rewarding better content over more content, and that’s kind of the way that things are trending in the SEO world today.

So I’m sure there’s going to be some great discussion. I really appreciate the input of people who have done extensive analysis on top of Hummingbird. Those folks include folks like Dr. Pete, of course, from Moz, Bill Slawski from SEO by the Sea, Ammon Johns, who wrote a great post about this. I think there’ll be more great discussion in the comments. I look forward to joining you there. Take care.

Video transcription by Speechpad.com

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