SEO
How to Estimate Your Chances to Rank
It’s easy to find keywords that can bring lots of traffic to your website. What’s harder is to predict your chances of ranking for them.
To help solve this problem, SEO tools like Ahrefs give keywords a “difficulty” score from 0 to 100.
But the truth is that these scores aren’t foolproof.
So in this post, I’m going to outline the benefits and shortcomings of the Keyword Difficulty metric, as well as break down what other things professional SEOs look at when estimating their chances to rank for a given keyword.
What is keyword difficulty?
Keyword Difficulty (KD) is an SEO metric that estimates how hard it would be to rank on the first page of Google for a given keyword. It is measured on a scale from 0 to 100, with the latter being the hardest to rank for.

However, when many SEO professionals use the term “keyword difficulty,” they’re referring to the broader concept of ranking difficulty—not a particular metric in a particular SEO tool.
Keyword difficulty as a metric
Almost every keyword research tool has a keyword difficulty score. These tools all use the same 0-100 scale, but each one calculates it differently.
If you check the keyword difficulty of the same keywords in different SEO tools, the numbers will vary quite substantially:


That is why it is important to understand how exactly the ranking difficulty is calculated by your SEO tool of choice. Only then can you make informed decisions based on it.
Here at Ahrefs, we use a simple method for calculating KD. We pull the top 10 ranking pages for your keyword and look up how many websites link to each of them. The more links the top-ranking pages for your keyword have, the higher its KD score. Very simple and very actionable.


Keyword Difficulty in Ahrefs is based on linking domains to top-ranking pages.
Using more factors for calculating Keyword Difficulty
Many SEOs who use Ahrefs have been asking us to consider more factors when calculating our KD metric:
Well, let’s say we decided to include Domain Rating (DR) in our calculation. Here’s what happens if we take two hypothetical keywords:
- Keyword #1 – Has pages from DR 80+ websites ranking in the top 10, but none has any backlinks
- Keyword #2 – Has pages from DR <40 websites in the top 10, but each of them has 40+ backlinks
Which of these keywords should have a higher KD? And by how much?
If you ask a few dozen SEOs to manually score these two keywords on a scale from 0 to 100, their estimates will be very different. That’s because each SEO professional will distribute the “weights” of DR and page-level backlinks differently when blending them into a single KD score.
So by adding just one additional variable (DR), we’re causing a great deal of controversy to the calculation of KD and making it quite unintuitive.
Hopefully, that explains why we decided to keep our KD metric super simple and only use the backlinks of the top-ranking pages to calculate it.
This way, you know exactly what you’re looking at when applying a KD filter to your list of keywords. It gives you a straightforward benchmark of how many backlinks the top-ranking pages for each keyword have:
- KD 0-5 – Top-ranking pages barely have any backlinks
- KD ~50 – Top-ranking pages have a couple of hundred backlinks
- KD 90+ – Top-ranking pages have thousands of backlinks
But backlinks aren’t the only ranking factor. If you want to properly gauge your chances of ranking for a given keyword, you need to go further and do a more thorough analysis of the SERP.
Speaking of which…
Keyword difficulty as a concept
Nobody knows exactly how Google ranks pages. But we do know the main things that matter for ranking well. And by analyzing those “main things,” SEOs can get a pretty good idea of what it takes to rank on Google for a given keyword.
So here’s how they do it.
1. Figure out how many backlinks you’ll need
Backlinks act as votes, which tell Google that a given page is more valuable than any other page on the same topic. So, as a general rule, if you want to rank in the top 10 search results for a given keyword, you’ll have to acquire as many backlinks as the current top-ranking pages have (if not more).
In Ahrefs’ Keywords Explorer, we actually have a text hint right under our KD score that tells you an approximate number of backlinks you’ll need:


Two important caveats here:
- The hint says “to rank in the top 10,” which means that getting as many (or more) backlinks as your competitors won’t guarantee that you’ll rank #1. But there’s a very good chance that you’ll rank somewhere in the top 10.
- The sheer quantity of backlinks can often be misleading because some backlinks cast a stronger vote than others. So this number is merely an estimation.
To properly estimate the strength of the backlink profiles of the top-ranking pages, you’ll have to review all their backlinks manually, i.e., do a backlink audit of these pages.
In Keywords Explorer, we’ve created a handy shortcut for this, since each number in the “SERP Overview” links to its respective backlink report in Ahrefs’ Site Explorer:


Click these numbers (in the highlighted columns) to manually review backlinks.
2. Review the “authority” of your competitors
Many SEOs believe that Google often gives preference to pages that belong to big, popular websites. So if there are lots of these on a SERP, they recommend you to stay away—unless your website is just as big and famous.
And while we don’t necessarily agree with such an assessment, we do think it may be quite useful to peek at how authoritative the top-ranking websites are.
Do you pay attention to Domain Rating (or any other “website authority” metric) when analysing your chances to rank for a given keyword?
— Tim Soulo 🇺🇦 (@timsoulo) April 27, 2022
Google itself has consistently denied that it uses any form of sitewide authority metric in its ranking algorithm. But I can think of at least two ways how a high website authority can indirectly contribute toward a higher ranking on Google:
A. Internal links
High DR means that a given website has lots of strong pages with high authority. And the page that you see ranking on Google may be receiving lots of “link juice” from such pages, making it a high-authority page too (even in the absence of backlinks from other websites).
B. Familiar brand
When presented with a list of search results, many people will prefer to click on the websites that are familiar to them. Google is allegedly tracking some “behavioral factors” to better understand if people were satisfied with the search results. And that can lead to “familiar websites” getting a ranking preference because that is what searchers want to get.
3. Investigate the search intent
Your ability to address the search intent is of utmost importance for ranking well on Google. In case you’re unfamiliar with the term, search intent is basically the expectation that searchers have. Google’s goal is to fulfill people’s expectations when they perform a search.
Many marketers (including our own Joshua Hardwick) tend to group all searches into four distinct search intent buckets: informational, navigational, transactional, and commercial.
But I’m not a big fan of that approach.
Let me give an example. Instead of trying to figure out if the search query “backlink checker” is informational, navigational, or transactional (and what that means for your page anyway), it is much more productive to review the actual top-ranking pages for that keyword and analyze what searchers get from them.
As you can tell from the screenshot above, all the top-ranking pages for the keyword “backlink checker” are free online tools. So the search intent of this keyword is “a free online tool to check backlinks.”
Thus, if you try to target this keyword with a blog article or a landing page, it won’t work.
I know this for a fact because we actually tried it.


Above is the graph of organic search traffic to our backlink checker page.
Before the end of 2019, it was just a simple landing page explaining that Ahrefs has a backlink checker tool and offering people to sign up for our paid trial. No matter how much we optimized that page, it never ranked higher than #8 for that keyword.
Then we studied the pages that were outranking us and realized that all of them were free online tools. And as soon as we converted our landing page into a free tool, it shot up to #1 for the keyword “backlink checker” and started ranking high for many other relevant keywords.


So instead of trying to decide if the search intent of your keyword is “transactional” or “informational,” just browse the top-ranking pages and figure out what exactly people expect to get from it.
4. Gauge the quality of content
The famous Skyscraper technique has led lots of content marketers astray by suggesting that a longer and more detailed article equals a better article.
But just making your article longer doesn’t necessarily make it better. A better article is one that provides more value in less time (and without boring you to death).
So here are some pointers that will help you gauge the quality of content that already ranks at the top for your target keyword:
- Does it provide accurate and up-to-date information?
- Is it written by a subject matter expert?
- Does it contain unique information?
- Is it well-written?
- Is it properly formatted?
- Is it well-designed?
The first three are the most important ones. Google wants to provide its users with accurate information that comes from credible sources. We know that for a fact because the latest edition of its Search Quality Rater Guidelines has lots of focus on the concept called E-A-T, which stands for expertise, authoritativeness, and trustworthiness.
So instead of making your pages longer than those of your competitors, try investing in E-A-T.
What is a good Keyword Difficulty to target?
As with many things in SEO, the answer is it depends:
- On the authority of your website.
- On your credibility in a given space.
- On your ability to acquire backlinks.
- On whether you have the ability and/or resources to cater to search intent.
- Etc.
A good exercise that may help you get used to Ahrefs’ KD metric is to look up the KD scores of the keywords that your website is already ranking for.
You can do this by entering your website into Ahrefs’ Site Explorer and visiting the Organic keywords report:


This gives you a nice benchmark. But it’s by no means a substitute for the process I’ve outlined above. If you want to accurately estimate your chances of ranking for a given keyword, you should thoroughly study the top-ranking pages and factor in your own skills and resources.
And please don’t shy away from targeting high-KD keywords. When it comes to many of the KD 70+ keywords that we rank for today, it took us four to five rewrites, lots of promotion, and many years of patience to get there. So the sooner you “attack” a high-KD keyword that you really want to rank for, the sooner you’ll get there.
Final thoughts
It would be quite awesome to have a keyword difficulty metric that could accurately predict your chances of ranking for a given keyword. But as you can probably tell by now, such a metric doesn’t exist.
So the only way for you to make the right SEO bets is by thoroughly studying the search results for the keywords that you want to rank for.
I hope the process I’ve outlined above is helpful for you. And if you have any further questions, feel free to ping me on Twitter.
SEO
How To Become an SEO Expert in 4 Steps

With 74.1% of SEOs charging clients upwards of $500 per month for their services, there’s a clear financial incentive to get good at SEO. But with no colleges offering degrees in the topic, it’s down to you to carve your own path in the industry.
There are many ways to do this; some take longer than others.
In this post, I’ll share how I’d go from zero to SEO pro if I had to do it all over again.
Understanding what search engine optimization really is and how it works is the first state of affairs. While you can do this by reading endless blog posts or watching YouTube videos, I wouldn’t recommend that approach for a few reasons:
- It’s hard to know where to start
- It’s hard to join the dots
- It’s hard to know who to trust
You can solve all of these problems by taking a structured course like our SEO course for beginners. It’s completely free (no signup required), consists of 14 short video lessons (2 hours total length), and covers:
- What SEO is and why it’s important
- How to do keyword research
- How to optimize pages for keywords
- How to build links (and why you need them)
- Technical SEO best practices
Here’s the first lesson to get you started:
It doesn’t matter how many books you read about golf, you’re never going to win a tournament without picking up a set of clubs and practicing. It’s the same with SEO. The theory is important, but there’s no substitute for getting your hands dirty and trying to rank a site.
If you don’t have a site already, you can get up and running fairly quickly with any major website platform. Some will set you back a few bucks, but they handle SEO basics out of the box. This saves you time sweating the small stuff.
As for what kind of site you should create, I recommend a simple hobby blog.
Here’s a simple food blog I set up in <10 minutes:


Once you’re set-up, you’re ready to start practicing and honing your SEO skills. Specifically, doing keyword research to find topics, writing and optimizing content about them, and (possibly) building a few backlinks.
For example, according to Ahrefs’ Keywords Explorer, the keyword “neopolitan pizza dough recipe” has a monthly traffic potential of 4.4K as well as a relatively low Keyword Difficulty (KD) score:


Even better, there’s a weak website (DR 16) in the top three positions—so this should definitely be quite an easy topic to rank for.


Given that most of the top-ranking posts have at least a few backlinks, a page about this topic would also likely need at least a few backlinks to compete. Check out the resources below to learn how to build these.
It’s unlikely that your hobby blog is going to pay the bills, so it’s time to use the work you’ve done so far to get a job in SEO. Here are a few benefits of doing this:
- Get paid to learn. This isn’t the case when you’re home alone reading blog posts and watching videos or working on your own site.
- Get deeper hands-on experience. Agencies work with all kinds of businesses, which means you’ll get to build experience with all kinds of sites, from blogs to ecommerce.
- Build your reputation. Future clients or employers are more likely to take you seriously if you’ve worked for a reputable SEO agency.
To find job opportunities, start by signing up for SEO newsletters like SEO Jobs and SEOFOMO. Both of these send weekly emails and feature remote job opportunities:


You can also go the traditional route and search job sites for entry-level positions. The kinds of jobs you’re looking for will usually have “Junior” in their titles or at least mention that it’s a junior position in their description.


Beyond that, you can search for SEO agencies in your local area and check their careers pages.
Even if there are no entry-level positions listed here, it’s still worth emailing and asking if there are any upcoming openings. Make sure to mention any SEO success you’ve had with your website and where you’re at in your journey so far.
This might seem pushy, but many agencies actually encourage this—such as Rise at Seven:


Here’s a quick email template to get you started:
Subject: Junior SEO position?
Hey folks,
Do you have any upcoming openings for junior SEOs?
I’ve been learning SEO for [number] months, but I’m looking to take my knowledge to the next level. So far, I’ve taken Ahrefs’ Beginner SEO course and started my own blog about [topic]—which I’ve had some success with. It’s only [number] months old but already ranks for [number] keywords and gets an estimated [number] monthly search visits according to Ahrefs.
[Ahrefs screenshot]
I checked your careers page and didn’t see any junior positions there, but I was hoping you might consider me for any upcoming positions? I’m super enthusiastic, hard-working, and eager to learn.
Let me know.
[Name]
You can pull all the numbers and screenshots you need by creating a free Ahrefs Webmaster Tools account and verifying your website.
SEO is a broad industry. It’s impossible to be an expert at every aspect of it, so you should niche down and hone your skills in the area that interests you the most. You should have a reasonable idea of what this is from working on your own site and in an agency.
For example, link building was the area that interested me the most, so that’s where I focused on deepening my knowledge. As a result, I became what’s known as a “t-shaped SEO”—someone with broad skills across all things SEO but deep knowledge in one area.


Marie Haynes is another great example of a t-shaped SEO. She specializes in Google penalty recovery. She doesn’t build links or do on-page SEO. She audits websites with traffic drops and helps their owners recover.
In terms of how to build your knowledge in your chosen area, here are a few ideas:
Here are a few SEOs I’d recommend following and their (rough) specialties:
Final thoughts
K Anders Ericsson famously theorized that it takes 10,000 hours of practice to master a new skill. Can it take less? Possibly. But the point is this: becoming an SEO expert is not an overnight process.
I’d even argue that it’s a somewhat unattainable goal because no matter how much you know, there’s always more to learn. That’s part of the fun, though. SEO is a fast-moving industry that keeps you on your toes, but it’s a very rewarding one, too.
Here are a few stats to prove it:
- 74.1% of SEOs charge clients upwards of $500 per month for their services (source)
- $49,211 median annual salary (source)
- ~$74k average salary for self-employed SEOs (source)
Got questions? Ping me on Twitter X.
SEO
A Year Of AI Developments From OpenAI

Today, ChatGPT celebrates one year since its launch in research preview.
Try talking with ChatGPT, our new AI system which is optimized for dialogue. Your feedback will help us improve it. https://t.co/sHDm57g3Kr
— OpenAI (@OpenAI) November 30, 2022
From its humble beginnings, ChatGPT has continually pushed the boundaries of what we perceive as possible with generative AI for almost any task.
a year ago tonight we were probably just sitting around the office putting the finishing touches on chatgpt before the next morning’s launch.
what a year it’s been…
— Sam Altman (@sama) November 30, 2023
In this article, we take a journey through the past year, highlighting the significant milestones and updates that have shaped ChatGPT into the versatile and powerful tool it is today.
a year ago tonight we were placing bets on how many total users we’d get by sunday
20k, 80k, 250k… i jokingly said “8B”.
little did we know… https://t.co/8YtO8GbLPy— rapha gontijo lopes (@rapha_gl) November 30, 2023
ChatGPT: From Research Preview To Customizable GPTs
This story unfolds over the course of nearly a year, beginning on November 30, when OpenAI announced the launch of its research preview of ChatGPT.
As users began to offer feedback, improvements began to arrive.
Before the holiday, on December 15, 2022, ChatGPT received general performance enhancements and new features for managing conversation history.

As the calendar turned to January 9, 2023, ChatGPT saw improvements in factuality, and a notable feature was added to halt response generation mid-conversation, addressing user feedback and enhancing control.
Just a few weeks later, on January 30, the model was further upgraded for enhanced factuality and mathematical capabilities, broadening its scope of expertise.
February 2023 was a landmark month. On February 9, ChatGPT Plus was introduced, bringing new features and a faster ‘Turbo’ version to Plus users.
This was followed closely on February 13 with updates to the free plan’s performance and the international availability of ChatGPT Plus, featuring a faster version for Plus users.
March 14, 2023, marked a pivotal moment with the introduction of GPT-4 to ChatGPT Plus subscribers.


This new model featured advanced reasoning, complex instruction handling, and increased creativity.
Less than ten days later, on March 23, experimental AI plugins, including browsing and Code Interpreter capabilities, were made available to selected users.
On May 3, users gained the ability to turn off chat history and export data.
Plus users received early access to experimental web browsing and third-party plugins on May 12.
On May 24, the iOS app expanded to more countries with new features like shared links, Bing web browsing, and the option to turn off chat history on iOS.
June and July 2023 were filled with updates enhancing mobile app experiences and introducing new features.
The mobile app was updated with browsing features on June 22, and the browsing feature itself underwent temporary removal for improvements on July 3.
The Code Interpreter feature rolled out in beta to Plus users on July 6.
Plus customers enjoyed increased message limits for GPT-4 from July 19, and custom instructions became available in beta to Plus users the next day.
July 25 saw the Android version of the ChatGPT app launch in selected countries.
As summer progressed, August 3 brought several small updates enhancing the user experience.
Custom instructions were extended to free users in most regions by August 21.
The month concluded with the launch of ChatGPT Enterprise on August 28, offering advanced features and security for enterprise users.
Entering autumn, September 11 witnessed limited language support in the web interface.
Voice and image input capabilities in beta were introduced on September 25, further expanding ChatGPT’s interactive abilities.
An updated version of web browsing rolled out to Plus users on September 27.
The fourth quarter of 2023 began with integrating DALL·E 3 in beta on October 16, allowing for image generation from text prompts.
The browsing feature moved out of beta for Plus and Enterprise users on October 17.
Customizable versions of ChatGPT, called GPTs, were introduced for specific tasks on November 6 at OpenAI’s DevDay.


On November 21, the voice feature in ChatGPT was made available to all users, rounding off a year of significant advancements and broadening the horizons of AI interaction.
And here, we have ChatGPT today, with a sidebar full of GPTs.


Looking Ahead: What’s Next For ChatGPT
The past year has been a testament to continuous innovation, but it is merely the prologue to a future rich with potential.
The upcoming year promises incremental improvements and leaps in AI capabilities, user experience, and integrative technologies that could redefine our interaction with digital assistants.
With a community of users and developers growing stronger and more diverse, the evolution of ChatGPT is poised to surpass expectations and challenge the boundaries of today’s AI landscape.
As we step into this next chapter, the possibilities are as limitless as generative AI continues to advance.
Featured image: photosince/Shutterstock
SEO
Is AI Going To E-E-A-T Your Experience For Breakfast? The LinkedIn Example

Are LinkedIn’s collaborative articles part of SEO strategies nowadays?
More to the point, should they be?
The search landscape has changed dramatically in recent years, blurring the lines between search engines and where searches occur.
Following the explosive adoption of AI in content marketing and the most recent Google HCU, core, and spam updates, we’re looking at a very different picture now in search versus 12 months ago.
User-generated and community-led content seems to be met with renewed favourability by the algorithm (theoretically, mirroring what people reward, too).
LinkedIn’s freshly launched “collaborative articles” seem to be a perfect sign of our times: content that combines authority (thanks to LinkedIn’s authority), AI-generated content, and user-generated content.
What could go wrong?
In this article, we’ll cover:
- What are “collaborative articles” on LinkedIn?
- Why am I discussing them in the context of SEO?
- The main issues with collaborative articles.
- How is Google treating them?
- How they can impact your organic performance.
What Are LinkedIn Collaborative Articles?
First launched in March 2023, LinkedIn says about collaborative articles:
“These articles begin as AI-powered conversation starters, developed with our editorial team, but they aren’t complete without insights from our members. A select group of experts have been invited to contribute their own ideas, examples and experiences within the articles.“
Essentially, each of these articles starts as a collection of AI-generated answers to FAQs/prompts around any given topic. Under each of these sections, community members can add their own perspectives, insights, and advice.
What’s in it for contributors? To earn, ultimately, a “Top Voice” badge on their profile.
The articles are indexable and are all placed under the same folder (https://www.linkedin.com/advice/).
They look like this:

On the left-hand side, there are always FAQs relevant to the topic answered by AI.
On the right-hand side is where the contributions by community members get posted. Users can react to each contribution in the same way as to any LinkedIn post on their feed.
How Easy Is It To Contribute And Earn A Badge For Your Insights?
Pretty easy.
I first got invited to contribute on September 19, 2023 – though I had already found a way to contribute a few weeks before this.


My notifications included updates from connections who had contributed to an article.
By clicking on these, I was transferred to the article and was able to contribute to it, too (as well as additional articles, linked at the bottom).
I wanted to test how hard it was to earn a Top SEO Voice badge. Eight article contributions later (around three to four hours of my time), I had earned three.


How? Apparently, simply by earning likes for my contributions.
A Mix Of Brilliance, Fuzzy Editorial Rules, And Weird Uncle Bob
Collaborative articles sound great in principle – a win-win for both sides.
- LinkedIn struck a bullseye: creating and scaling content (theoretically) oozing with E-E-A-T, with minimal investment.
- Users benefit from building their personal brand (and their company’s) for a fragment of the effort and cost this usually takes. The smartest ones complement their on-site content strategy with this off-site golden ticket.
What isn’t clear from LinkedIn’s Help Center is what this editorial mix of AI and human input looks like.
Things like:
- How much involvement do the editors have before the topic is put to the community?
- Are they only determining and refining the prompts?
- Are they editing the AI-generated responses?
- More importantly, what involvement (if any) do they have after they unleash the original AI-generated piece into the world?
- And more.
I think of this content like weird Uncle Bob, always joining the family gatherings with his usual, unoriginal conversation starters. Only, this time, he’s come bearing gifts.
Do you engage? Or do you proceed to consume as many canapés as possible, pretending you haven’t seen him yet?
Why Am I Talking About LinkedIn Articles And SEO?
When I first posted about LinkedIn’s articles, it was the end of September. Semrush showed clear evidence of their impact and potential in Search. (Disclosure: I work for Semrush.)
Only six months after their launch, LinkedIn articles were on a visible, consistent upward trend.
- They were already driving 792.5K organic visits a month. (This was a 75% jump in August.)
- They ranked for 811,700 keywords.
- Their pages were ranking in the top 10 for 78,000 of them.
- For 123,700 of them, they appeared in a SERP feature, such as People Also Ask and Featured Snippets.
- Almost 72% of the keywords had informational intent, followed by commercial keywords (22%).
Here’s a screenshot with some of the top keywords for which these pages ranked at the top:


Now, take the page that held the Featured Snippet for competitive queries like “how to enter bios” (monthly search volume of 5,400 and keyword difficulty of 84, based on Semrush data).
It came in ahead of pages on Tom’s Hardware, Hewlett-Packard, or Reddit.


See anything weird? Even at the time of writing this post, this collaborative article had precisely zero (0) contributions.
This means a page with 100% AI-generated content (and unclear interference of human editors) was rewarded with the Featured Snippet against highly authoritative and relevant domains and pages.
A Sea Of Opportunity Or A Storm Ready To Break Out?
Let’s consider these articles in the context of Google’s guidelines for creating helpful, reliable, people-first content and its Search Quality Rater Guidelines.
Of particular importance here, I believe, is the most recently added “E” in “E-E-A-T,” which takes experience into account, alongside expertise, authoritativeness, and trustworthiness.
For so many of these articles to have been ranking so well must mean that they were meeting the guidelines and proving helpful and reliable for content consumers.
After all, they rely on “a select group of experts to contribute their own ideas, examples and experiences within the articles,” so they must be worthy of strong organic performances, right?
Possibly. (I’ve yet to see such an example, but I want to believe somewhere in the thousands of pages these do exist).
But, based on what I’ve seen, there are too many examples of poor-quality content to justify such big rewards in the search engine results pages (SERPs).
The common issues I’ve spotted:
1. Misinformation
I can’t tell how much vetting or editing there is going on behind the scenes, but the amount of misinformation in some collaborative articles is alarming. This goes for AI-generated content and community contributions alike.
I don’t really envy the task of fact-checking what LinkedIn describes as “thousands of collaborative articles on 2,500+ skills.” Still, if it’s quality and helpfulness we’re concerned with here, I’d start brewing my coffee a little stronger if I were LinkedIn.
At the moment, it feels a little too much like a free-for-all.
Here are some examples of topics like SEO or content marketing.


2. Thin Content
To a degree, some contributions seem to do nothing more than mirror the points made in the original AI-generated piece.
For example, are these contributions enough to warrant a high level of “experience” in these articles?


The irony to think that some of these contributions may have also been generated by AI…
3. Missing Information
While many examples don’t provide new or unique perspectives, some articles simply don’t provide…any perspectives at all.
This piece about analytical reasoning ranked in the top 10 for 128 keywords when I first looked into it last September (down to 80 in October).


It even held the Featured Snippet for competitive keywords like “inductive reasoning examples” for a while (5.4K monthly searches in the US), although it had no contributions on this subsection.
Most of its sections remain empty, so we’re talking about mainly AI-generated content.
Does this mean that Google really doesn’t care whether your content comes from humans or AI?
I’m not convinced.
How Have The Recent Google Updates Impacted This Content?
After August and October 2023 Google core updates (at the time of writing, the November 2023 Google core update is rolling out), the September 2023 helpful content update, and the October 2023 spam update, the performance of this section seems to be declining.
According to Semrush data:


- Organic traffic to these pages was down to 453,000 (a 43% drop from September, bringing their performance close to August levels).
- They ranked for 465,100 keywords (down by 43% MoM).
- Keywords in the Top 10 dropped by 33% (51,900 vs 78,000 in September).
- Keywords in the top 10 accounted for 161,800 visits (vs 287,200 in September, down by 44% MoM).
The LinkedIn domain doesn’t seem to have been impacted negatively overall.


Is this a sign that Google has already picked up the weaknesses in this content and has started balancing actual usefulness versus the overall domain authority that might have propelled it originally?
Will we see it declining further in the coming months? Or are there better things to come for this feature?
Should You Already Be On The Bandwagon If You’re In SEO?
I was on the side of caution before the Google algorithm updates of the past couple of months.
Now, I’d be even more hesitant to invest a substantial part of my resources towards baking this content into my strategy.
As with any other new, third-party feature (or platform – does anyone remember Threads?), it’s always a case of balancing being an early adopter with avoiding over-investment. At least while being unclear on the benefits.
Collaborative articles are a relatively fresh, experimental, external feature you have minimal control over as part of your SEO strategy.
Now, we also have signs from Google that this content may not be as “cool” as we initially thought.
This Is What I’d Do
That’s not to say it’s not worth trying some small-scale experiments.
Or, maybe, use it as part of promoting your own personal brand (but I’ve yet to see any data around the impact of the “Top Voice” badges on perceived value).
Treat this content as you would any other owned content.
- Follow Google’s guidelines.
- Add genuine value for your audience.
- Add your own unique perspective.
- Highlight gaps and misinformation.
Experience shows us that when tactics get abused, and the user experience suffers, Google eventually steps in (from guest blogging to parasite SEO, most recently).
It might make algorithmic tweaks when launching updates, launch a new system, or hand out manual actions – the point is that you don’t know how things will progress. Only LinkedIn and Google have control over that.
As things stand, I can easily see any of the below potential outcomes:
- This content becomes the AI equivalent of the content farms of the pre-Panda age, leading to Google clamping down on its search performance.
- LinkedIn’s editors stepping in more for quality control (provided LinkedIn deems the investment worthwhile).
- LinkedIn starts pushing its initiative much more to encourage participation and engagement. (This could be what makes the difference between a dead content farm and Reddit-like value.)
Anything could happen. I believe the next few months will give us a clearer picture.
What’s Next For AI And Its Role In SEO And Social Media?
When it comes to content creation, I think it’s safe to say that AI isn’t quite ready to E-E-A-T your experience for breakfast. Yet.
We can probably expect more of these kinds of movements from social media platforms and forums in the coming months, moving more toward mixing AI with human experience.
What do you think is next for LinkedIn’s collaborative articles? Let me know on LinkedIn!
More resources:
Featured Image: BestForBest/Shutterstock
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