Search Has Changed. Here’s How Your Content Needs to Evolve.
- Updated on: 2017-08-17
- Read original article here
When inbound marketing was on the rise in 2006, search engines were the primary way readers discovered new content. In 2017, this still holds true.
Social, video, and messaging apps now occupy a fair share of the content landscape -- but with over 3.5 billion searches per day on Google alone, search is a channel marketers still can't afford to ignore.
Over the last ten years or so, it feels like we've figured out a pretty standard content formula: publish a large volume of content to target long-tail keywords, and convert that organic traffic into leads via gated content offers.
But this way of thinking about content has hit a wall. Search has changed, and it's time content did too.
There are two big ways search has changed in recent years:
Back in 2006, search behavior was relatively simplistic. We typed at search engines with queries like, "Restaurants Boston," rather than talking to them conversationally.
Today, the average search query goes something like, "Where is the best place to eat near me right now?".
Regardless of whether you type or use voice search, longer, more-conversational queries have become standard.
In a study conducted by Ahrefs of search volume by keyword length, they found 64% of searches are four words or more. And the rise of conversational search is only making this search pattern more prevalent.
This isn't because we've suddenly become comfortable talking to robots. It's largely because the quality of results that search engines serve has substantially improved, along with the quantity of content.
We've learned the playbook and have published so much content, some marketers say we've hit "content shock," and that producing content at this rate is no longer sustainable.
While the quantity of content has dramatically increased, quality has not. Sure, there are individual publishers and sites that create amazing content you probably consume regularly. But for the most part, a lot of content published today doesn't contribute much to the conversation.
In addition to our search behavior, the general way we use the internet to interact with sites has changed. We've shifted from desktop-based PCs, to mobile laptops, to smartphones as mini-computers in the palm of our hands.
Readers are skimming content and searching for quick answers. The emergence of messaging also means visitors are less likely to fill out a lengthy form. This has natural consequences on how we think about our content to build an audience, brand, and ultimately generate leads.
We're going to focus on Google-specific updates here, since between their core search, image search, and YouTube, they collectively control 90% of the search market.
When Google first popped up on the scene, the way they returned results was to essentially deconstruct queries into their fundamental pieces -- meaning individual keywords that appeared -- and serve results based on exact matches. At that time, marketers who stuffed matching keywords into content would naturally rank for the query, until Google started adjusting their algorithm.
If we go back just a few years, we can see a rich history that leads us to the search experience we have today, and we can uncover lessons that apply to our own content strategies.
Let's walk through three of the most important Google search updates and how they impact your strategy.
This algorithm update was designed to penalize "webspam" and sites that were over-optimized using black-hat SEO techniques. Webspam --such as keyword stuffing and link schemes -- was penalized in this update, with 3.1% of English search queries impacted.
In the official Penguin announcement, Google described a blog post that was written about fitness and had relevant content. But within the post, there were also completely irrelevant links to payday loans and other sites. This form of random keyword stuffing is a perfect example of an SEO tactic that was likely impacted by Penguin.
The takeaway: Include relevant links and keywords in your content, but don't overdo it. While there's no magical number that's right or wrong, look at your content through the lens of a reader and make a judgment call if it's too much.
Based on what we know, this was a core algorithm update that focused on improving semantic search. As search becomes more conversational, Hummingbird is now the core algorithm interpreting these queries and translating them into meaningful results.
For example, if you search for "what's the best place to buy an iPhone 7 near my home?" a traditional algorithm before Hummingbird would have taken each individual keyword and looked for matches. With Hummingbird, Google began to look at the meaning behind these words and translate them into a better result.
Digging into that example query above, "place" means you're looking for a store you can physically go to, instead of a website you can buy from. Hummingbird looks at the entire query and attempts to understand the meaning behind the words used to return relevant results.
The takeaway: We now search the way we talk. Focusing only on keywords means you're likely missing out on traffic from conversational search. Start thinking about clustering your content into topics, and adjusting the way you create content with pillar pages.
In October 2015, Google announced that machine learning, via RankBrain, had been a part of their algorithm for months and is now the third most influential ranking factor.
It's important to understand that there are over 200 ranking signals when Google evaluates a page. When RankBrain was announced, it immediately became the third most-important factor Google uses to determine rank.
So, what does RankBrain do? At a basic level, this algorithm helps interpret searches to find pages that might not have the exact words searched for. For example, if you search for "sneakers," Google understands that you might have meant "running shoes" and incorporates that factor into results.
Although Google begun to understand synonyms between words prior to this update, RankBrain propelled that understanding forward and truly brought a focus on topic-based content to the forefront.
The takeaway: Searchers are likely discovering your content even though they don't use exact keywords. When you combine this update with Hummingbird, the evidence is clear that we need to shift how we think about, plan, and create content.
Based on our search behavior, and the search technology updates, the playbook for content needs to change. The same formula we used for the past ten years might still generate moderate results, but it will not help us adjust to the way potential buyers are searching for our content today, or the way search works.
No -- keywords are still very relevant today. Yet many marketers solely rely on keywords to inform their content strategy. With the search behavior and technology changes we've discussed, your future playbook must be based on the overall topics that match the intent of a searcher, and the specific keywords they use.
For example, if you want help companies redesign websites, then you would naturally want to appear on a search engine results page for the keyword "website redesign." In this case, "website redesign" is the overall topic. But some users might be really be searching for "redesign existing website", which is essentially the same query with different keywords.
With this shift in search technology, search behavior, and how we interact with content, the way we make content to attract users has to change.
Here are core tenets of the new playbook to help you adjust:
The new content playbook is comprised of three parts: overall topics that you want to be known for organized into clusters, pillar content, and subtopic content. This model can helps you establish areas of influence into overall topics, and a solid information architecture at the same time.
As Matt Barby, Global Head of Growth and SEO at HubSpot, explains:
Instead of thinking about every variation of exact keywords, think about the topics you want to be known for, and the content you create will deeply cover that topic. Then, within this topic-based content, include relevant keywords. To explain this further, let's break down topic vs. keyword in the table below.
An overall topic cluster is represented with a comprehensive piece of content at the center (called pillar content) and then surrounded by subtopic content. Visually it looks like this:
A topic cluster should be specific to the topic you want to be known for and should be short -- ideally between two and four words.
For example, at HubSpot "inbound marketing" is a topic cluster, and we have pillar content dedicated to describing the methodology. You can have numerous topic clusters across your site for as many topics as are relevant to your company.
Pillar content is central to this new strategy. It is typically comprised of a single page -- such as a website or landing page -- that offers a comprehensive view of the topic.
If you have a lot of content, this page might already exist on your site. If not, or you want to expand into a new topic, check-out this decision tree to help decide when to create a new piece of pillar content.
There are a three key aspects of pillar content that you should consider:
Subtopic content should be related to your pillar content. It centers around the same overall topic, but should answer longer, more niche questions. These can take the form of blog posts or site pages, and should contain a text link that points back to the pillar content.
This hyperlink helps signal to search engines that all of this content is related. With all of your subtopic content pointing towards the pillar, it builds authority within your site.
Here's an example of what this could look like for your website:
This new approach helps you attract more traffic from broad topics, and still captures long-tail keyword based traffic as well. It's a solution that is better for your visitors, and allows you to provide answers they expect to find without encountering technology hurdles.
The best content will be remarkable, comprehensive, and organized in this structure to not only help search crawlers discover their content, but naturally provide answers to topic-based queries. Content creation has evolved over the past few years, and is now hitting an inflection point where another major evolution is happening right before our eyes.
Ultimately you want to achieve your goals -- whether that's increasing traffic, leads, or MQLs -- but it all begins with content that matches the way people search, and the way search engines work today.
