SEO
Is SEO Dead? A Fresh Look At The Age-Old Search Industry Question
The march of time is inevitable. And every year, some new technology pounds the nail into the coffin on something older.
Whether the horse and buggy are replaced by the automobile or the slide rule is replaced by the calculator, everything eventually becomes obsolete.
And if you listen to the rumors, this time around, it’s search engine optimization. Rest in peace, SEO: 1997-2022.
There’s just one tiny little problem.
SEO is still alive and kicking. It’s just as relevant today as it has ever been. If anything, it may even be more important.
Today, 53% of all website traffic comes from organic search.
In fact, the first search result in Google averages 26.9% of click-throughs on mobile devices and 32% on desktops.
And what’s helping Google determine which results belong at the top of search engine results pages (SERPs)? SEO, of course.
Need more proof? We have more statistics to back it up.
Thanks to consistent updates to the Google search algorithm, the entire SEO field is undergoing rapid evolution.
Completely ignoring the many small changes the search engine’s algorithm has undergone, we’ve seen several major updates in the last decade. Some of the more important ones are:
- Panda – First put into place in February 2011, Panda was focused on quality and user experience. It was designed to eliminate black hat SEO tactics and web spam.
- Hummingbird – Unveiled in August 2013, Hummingbird made the search engine’s core algorithm faster and more precise in anticipation of the growth of mobile search.
- RankBrain – Rolled out in spring 2015, this update was announced in October of that year. Integrating artificial intelligence (AI) into all queries, RankBrain uses machine learning to provide better answers to ambiguous queries.
- BERT – Initially released in November 2018 and updated in December 2019, this update helps Google understand natural language better.
- Vicinity – Put into place in December 2021, Vicinity was Google’s biggest local search update in five years. Using proximity targeting as a ranking factor, local businesses are weighted more heavily in query results.
Each of these updates changed the way Google works, so each required SEO professionals to rethink their approach and tweak their strategy to ensure they get the results needed. But the need for their services remained.
Now that it’s been established that SEO is not dead, it raises the question: Where did all this death talk come from in the first place?
Most of it is based on unfounded conjecture and wild speculation. The truth is that SEO is in a state of transition, which can be scary.
And that transition is driven by three things:
- Artificial intelligence and machine learning, particularly Google RankBrain.
- Shrinking organic space on SERPs.
- Digital personal assistants and voice search.
The Rise Of Machine Learning
You’ve probably already recognized the impact AI has had on the world.
This exciting new technology has started to appear everywhere, from voice assistants to predictive healthcare to self-driving automobiles.
And it has been a trending topic in SEO for quite a while.
Unfortunately, most of what’s out there is incomplete information gathered from reading patents, analyzing search engine behavior, and flat-out guessing.
And part of the reason it’s so difficult to get a handle on what’s happening in AI concerning search engines is its constant evolution.
However, we will examine two identifiable trends: machine learning and natural language.
Machine learning is just what it sounds like: machines that are learning.
For a more sophisticated definition, it can be described as “a method of data analysis that automates analytical model building… a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.”
For SEO purposes, this means gathering and analyzing information on content, user behaviors, citations, and patterns, and then using that information to create new rankings factors that are more likely to answer user queries accurately.
You will want to read this article for a more in-depth explanation of how that will work.
One of the most important factors machine learning uses when determining how to rank websites is our other trend – natural language.
From their earliest days, computers have used unique languages. And because it was very unlike the language humans don’t use, there was always a disconnect between user intent and what search engines delivered.
However, as technology has grown increasingly more advanced, Google has made great strides in this field.
The most important one for SEO professionals is RankBrain, Google’s machine learning system built upon the rewrite of Google’s core algorithm that we mentioned earlier, Hummingbird.
Nearly a decade ago, Google had the foresight to recognize that mobile devices were the future wave. Anticipating what this would mean for search, Hummingbird focused on understanding conversational speech.
RankBrain builds upon this, moving Google away from a search engine that follows the links between concepts to seeing the concepts they represent.
It moved the search engine away from matching keywords in a query to more precisely identifying user intent and delivering results that more accurately matched the search.
This meant identifying which words were important to the search and disregarding those that were not.
It also developed an understanding of synonyms, so if a webpage matches a query, it may appear in the results, even if it doesn’t include the searched-for keyword.
The biggest impact of RankBrain and machine learning has been on long-tail keywords.
In the past, websites would often jam in specific but rarely search-for keywords into their content. This allowed them to show up in queries for those topics.
RankBrain changed how Google handled these, which meant primarily focusing on long-tail keywords was no longer a good strategy. It also helped eliminate content from spammers who sought rankings for these terms.
Honey, I Shrunk The Organic Search Space
Search engines are big business, no one can deny that.
And since 2016, Google has slowly encroached on organic search results in favor of paid advertising. That was when sponsored ads were removed from the sidebar and put at the top of SERPs.
As a result, organic results were pushed further down the page, or “below the fold,” to borrow an anachronistic idiom.
From Google’s business perspective, this makes sense. The internet has become a huge part of the global economy, which means an ever-increasing number of companies are willing to pay for ad placement.
As a result of this seeming de-prioritization, organic SEO professionals are forced to develop innovative new strategies for not only showing up on the first page but also competing with paid ads.
Changes to local search have also affected SERPs. In its never-ending quest to provide more relevant results to users, Google added a local pack to search results. This group of three nearby businesses appears to satisfy the query. They are listed at the top of the first page of results, along with a map showing their location.
This was good news for local businesses who compete with national brands. For SEO professionals, however, it threw a new wrinkle into their work.
In addition to creating competition for local search results, this also opened the door for, you guessed it, local paid search ads.
And these are not the only things pushing organic results down the page. Depending on the search, your link may also have to compete with:
- Shopping ads.
- Automated extensions.
- Featured snippets.
- Video or image carousels.
- News stories.
Additionally, Google has begun directly answering questions (and suggested related questions and answers). This has given birth to a phenomenon known as “zero-click searches,” which are searches that end on the SERP without a click-through to another site.
In 2020, nearly 65% of all searches received no clicks, which is troubling for anyone who makes their living by generating them.
With this in mind, and as organic results sink lower and lower, it’s easy to see why some SEO professionals are becoming frustrated. But savvy web marketers see these as more than challenges – they see them as opportunities.
For example, if you can’t get your link at the top of a SERP, you can use structured data markup to grab a featured snippet. While this isn’t technically an SEO tactic, it is a way to generate clicks and traffic, which is the ultimate goal.
Use Your Voice
Not long ago, taking a note or making out your grocery list meant locating some paper and writing on it with a pen. Like a caveman.
Thankfully, those days are gone, or at least on their way out, having been replaced by technology.
Whether you’re using Siri to play your favorite song, asking Cortana how much the moon weighs, or having Alexa check the price of Apple stock, much of the internet is now available just by using your voice.
In 2020, 4.2 million digital personal assistant devices were being used worldwide. And that’s a number expected to double by 2024 as more and more people adopt the Amazon Echo, Sonos One, Google Nest Hub, and the like.
And users don’t even have their own one of these smart speakers to use the power of voice search. 90% of iPhone owners use Siri, and 75% of smartphone owners use Google Assistant.
With the advent of these virtual helpers, we’ve seen a big increase in voice searching. Here are some interesting facts about voice search:
Isn’t technology grand?
It depends on who you are. If you work in SEO (and because you’re reading this, we’re going to assume you do), this creates some problems.
After all, how do you generate clicks to your website if no clicks are involved?
The answer is quite obvious: You need to optimize for voice search.
Voice-controlled devices don’t operate like a manual search, so your SEO content needs to consider this.
The best way to do this again is to improve the quality of your information. Your content needs to be the best answer to a person’s question, ensuring it ranks at the very top and gets the verbal click-throughs (is that a term?) you need.
And because people have figured out that more specific queries generate more specific responses, it’s important that your content fills that niche.
In general, specificity seems to be a growing trend in SEO, so it’s no longer enough to just have a web copy that says, “t-shirts for sale.”
Instead, you need to drill down to exactly what your target is searching for, e.g., “medium Garfield t-shirts + yellow + long-sleeve.”
What Does All This Mean For SEO?
Now that we’ve looked at the major reasons why pessimists and cynics are falsely proclaiming the demise of SEO, let’s review what we’ve learned along the way:
- Google will never be satisfied with its algorithms. It will always feel there is room to grow and improve its ability to precisely answer a search query. And far from being the death knell for SEO, this ensures its importance moving forward.
- Machine learning, especially regarding natural language, allows Google to better understand the intent behind a search and as a result, present more relevant options. Your content should focus on answering queries instead of just including keywords.
- Long-tail keywords are important for answering specific questions, particularly in featured answer sections, but focusing solely on them is an outdated and ineffective strategy.
- Organic search results lose real estate to paid ads and other features. However, this presents opportunities for clever SEO professionals to shoot to the top via things like local search.
- Zero-click searches constitute nearly two-thirds of all searches, which hurts SEO numbers but allows you to claim a spot of prominence as a featured snippet using structured data.
- The use of voice search and personal digital assistants is on the rise. This calls for rethinking SEO strategies and optimizing content to be found and used by voice search.
Have you noticed a theme running through this entire piece? It’s evolution, survival of the fittest.
To ensure you don’t lose out on important web traffic, you must constantly monitor the SEO situation and adapt to changes, just like you always have.
Your strategy needs to become more sophisticated as new opportunities present themselves. It needs to be ready to pivot quickly.
And above all, you need to remember that your content is still the most important thing.
If you can best answer a query, your site will get the traffic you seek. If it can’t, you need to rework it until it does.
Just remember, like rock and roll, SEO will never die.
More Resources:
Featured Image: sitthiphong/Shutterstock
SEO
HubSpot Rolls Out AI-Powered Marketing Tools
HubSpot announced a push into AI this week at its annual Inbound marketing conference, launching “Breeze.”
Breeze is an artificial intelligence layer integrated across the company’s marketing, sales, and customer service software.
According to HubSpot, the goal is to provide marketers with easier, faster, and more unified solutions as digital channels become oversaturated.
Karen Ng, VP of Product at HubSpot, tells Search Engine Journal in an interview:
“We’re trying to create really powerful tools for marketers to rise above the noise that’s happening now with a lot of this AI-generated content. We might help you generate titles or a blog content…but we do expect kind of a human there to be a co-assist in that.”
Breeze AI Covers Copilot, Workflow Agents, Data Enrichment
The Breeze layer includes three main components.
Breeze Copilot
An AI assistant that provides personalized recommendations and suggestions based on data in HubSpot’s CRM.
Ng explained:
“It’s a chat-based AI companion that assists with tasks everywhere – in HubSpot, the browser, and mobile.”
Breeze Agents
A set of four agents that can automate entire workflows like content generation, social media campaigns, prospecting, and customer support without human input.
Ng added the following context:
“Agents allow you to automate a lot of those workflows. But it’s still, you know, we might generate for you a content backlog. But taking a look at that content backlog, and knowing what you publish is still a really important key of it right now.”
Breeze Intelligence
Combines HubSpot customer data with third-party sources to build richer profiles.
Ng stated:
“It’s really important that we’re bringing together data that can be trusted. We know your AI is really only as good as the data that it’s actually trained on.”
Addressing AI Content Quality
While prioritizing AI-driven productivity, Ng acknowledged the need for human oversight of AI content:
“We really do need eyes on it still…We think of that content generation as still human-assisted.”
Marketing Hub Updates
Beyond Breeze, HubSpot is updating Marketing Hub with tools like:
- Content Remix to repurpose videos into clips, audio, blogs, and more.
- AI video creation via integration with HeyGen
- YouTube and Instagram Reels publishing
- Improved marketing analytics and attribution
The announcements signal HubSpot’s AI-driven vision for unifying customer data.
But as Ng tells us, “We definitely think a lot about the data sources…and then also understand your business.”
HubSpot’s updates are rolling out now, with some in public beta.
Featured Image: Poetra.RH/Shutterstock
SEO
Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]
Brands are seeing success driving quality pipeline and revenue growth. It’s all about building an intentional customer journey, aligning sales + marketing, plus measuring ROI.
Check out this executive panel on-demand, as we show you how we do it.
With Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell and Jessica Cromwell, we chatted about driving demand, lead gen, revenue, and proper attribution.
This B2B leadership forum provided insights you can use in your strategy tomorrow, like:
- The importance of the customer journey, and the keys to matching content to your ideal personas.
- How to align marketing and sales efforts to guide leads through an effective journey to conversion.
- Methods to measure ROI and determine if your strategies are delivering results.
While the case study is SaaS, these strategies are for any brand.
Watch on-demand and be part of the conversation.
Join Us For Our Next Webinar!
Navigating SERP Complexity: How to Leverage Search Intent for SEO
Join us live as we break down all of these complexities and reveal how to identify valuable opportunities in your space. We’ll show you how to tap into the searcher’s motivation behind each query (and how Google responds to it in kind).
SEO
What Marketers Need to Learn From Hunter S. Thompson
We’ve passed the high-water mark of content marketing—at least, content marketing in its current form.
After thirteen years in content marketing, I think it’s fair to say that most of the content on company blogs was created by people with zero firsthand experience of their subject matter. We have built a profession of armchair commentators, a class of marketers who exist almost entirely in a world of theory and abstraction.
I count myself among their number. I have hundreds of bylines about subfloor moisture management, information security, SaaS pricing models, agency resource management. I am an expert in none of these topics.
This has been the happy reality of content marketing for over a decade, a natural consequence of the incentives created by early Google Search. Historically, being a great content marketer required precisely no subject matter expertise. It was enough to read widely and write quickly.
Mountains of organic traffic have been built on the backs of armchair commentators like myself. Time spent doing deep, detailed research was, generally speaking, wasted, because 80% of the returns came from simply shuffling other people’s ideas around and slapping a few keyword-targeted H2s in the right places.
But this doesn’t work today.
For all of its flaws, generative AI is an excellent, truly world-class armchair commentator. If the job-to-be-done is reading a dozen articles and how-to’s and turning them into something semi-original and fairly coherent, AI really is the best tool for the job. Humans cannot out-copycat generative AI.
Put another way, the role of the content marketer as a curator has been rendered obsolete. So where do we go from here?
Hunter S. Thompson popularised the idea of gonzo journalism, “a style of journalism that is written without claims of objectivity, often including the reporter as part of the story using a first-person narrative.”
In other words, Hunter was the story.
When asked to cover the rising phenomenon of the Hell’s Angels, he became a Hell’s Angel. During his coverage of the ‘72 presidential campaign, he openly supported his preferred candidate, George McGovern, and actively disparaged Richard Nixon. His chronicle of the Kentucky Derby focused almost entirely on his own debauchery and chaos-making—a story that has outlasted any factual account of the race itself.
In the same vein, content marketers today need to become their stories.
It’s a content marketing truism that it’s unreasonable to expect writers to become experts. There’s a superficial level of truth to that claim—no content marketer can acquire a decade’s worth of experience in a few days or weeks—but there are great benefits awaiting any company willing to challenge that truism very, very seriously.
As Thompson proved, short, intense periods of firsthand experience can yield incredible insights and stories. So what would happen if you radically reduced your content output and dedicated half of your content team’s time to research and experimentation? If their job was doing things worth writing about, instead of just writing? If skin-in-the-game, no matter how small, was a prerequisite of the role?
We’re already seeing this shift.
Every week, I see more companies hiring marketers who are true, bonafide subject matter experts (I include the Ahrefs content team here—for the majority of our team, “writing” is a skill secondary to a decade of hands-on search and marketing experience). They are expensive, hard to find, and in the era of AI, worth every cent.
I see a growing expectation that marketers will document their experiences and experiments on social media, creating meta-content that often outperforms the “real” content. I see more companies willing to share subjective experiences and stories, and avoid competing solely on the sharing of objective, factual information. I see companies spending money to promote the personal brands of in-house creators, actively encouraging parasocial relationships as their corporate brand accounts lay dormant.
These are ideas that made no sense in the old model of content marketing, but they make much more sense today. This level of effort is fast becoming the only way to gain any kind of moat, creating material that doesn’t already exist on a dozen other company blogs.
In the era of information abundance, our need for information is relatively easy to sate; but we have a near-limitless hunger for entertainment, and personal interaction, and weird, pattern-interrupting experiences.
Gonzo content marketing can deliver.
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