SEO
Everything You Need To Know
Imagine you’re researching for a blog post.
You find a fantastic image that adds a lot of depth to your content. The problem is, that the site where you found it isn’t the original source, nor does it link to the original source.
Who created the image? You need this information if you want to cite your sources properly in your blog and give correct credit where it’s due.
The answer: Do a reverse image search to find the original source.
This feature is easy, quick, and available on most of the major search engines today.
A reverse image search is also great if you want to look up where your own images appear on the web.
Here’s your comprehensive guide to reverse image search on today’s major image search engines (including both desktop and mobile):
Let’s get started.
What Is Reverse Image Search?
Reverse image search isn’t as complex as it sounds.
It simply involves searching the internet with an image instead of keywords.
In most browsers, you can upload your image (or paste in the image’s URL), hit “search,” and you’ll be given tons of valuable information, such as:
- The sizes in which the image appears across the web.
- Keywords/possible related searches to the image.
- A list of links where the image appears online.
- Visually similar images.
As you can see, reverse image search lets you explore an image in-depth, which can be pretty handy.
Why Use Reverse Image Search?
Reverse image search is fun to do when you have a few extra minutes in your day and you feel like playing detective.
But, it’s extremely useful as well.
You can use it to:
- Find interesting facts about an image you like.
- Learn the copyright status of an image before using it.
- Track copyright violations on images you’re already using.
- Find out if other people are using your images.
- Find the original source of an image you’d like to add to the content.
Why Reverse Image Search Sometimes Doesn’t Work?
Reverse image search doesn’t always work.
There are times when you’ll search for an image and get zero results.
When this happens, it’s likely because the website on which the image appears prevents images from being indexed.
Also, data centers can be slightly out of sync.
This means some users can find the image using reverse image search while others can’t.
How To Do Reverse Image Search On Today’s Major Search Engines
You can use your favorite search engine (Google, Bing, Yandex) to perform a reverse image search.
Or, if you want to use a search engine created specifically for reverse image search, TinEye is a tool for that exact purpose.
Lastly, it doesn’t matter whether you’re using a Mac or PC for this task. The browser you use makes no difference, either (Chrome, Firefox, Safari, Edge, etc. work just fine).
How To Do A Reverse Image Search On Google (Desktop)
1. Open Google On A Compatible Browser
Reverse image search works on Safari, Firefox, and Chrome.
Once you have access to a browser, open Google Images.
2. Upload Your Image
If you found an image online you would like to look up, one option before doing a reverse image search is to save it to your desktop.
Then, once you’ve navigated to Google Images, go to the right side of the search bar and click the camera icon.
Upload your picture by either dragging and dropping it into the search area or by loading the file from your desktop.
Note: You can only search for one image at a time.
3. Or, Paste The Image’s URL
If the image is not saved to your desktop, you can also click on the camera icon to paste in the photo’s URL.
To get the photo’s URL, right-click the image with your mouse and select “Open image in new tab.”
Highlight the URL in the browser bar and simultaneously hold down the “Command” key (or the “CTRL” key on PC) and the “C” key to copy the text.
Then, click the “Paste image URL” tab.
Screenshot from Google Images, May 2022Insert your copied URL into the available space.
You can do this by right-clicking the text box and selecting “Paste,” or you can select the text box with your mouse and hit the keys “Command” (or “CTRL” on PC) and “V” simultaneously.
4. Explore Your Results
Once you click “Search by image,” you will see your uploaded photo at the top of the page along with some suggested keywords.
Next to the image, Google will also tell you if there are other sizes of the image available for you to download.
From there, you can explore similar images or check out websites that contain the image.
Screenshot from Google Images, May 2022How To Do A Reverse Image Search On Google (Chrome App On A Mobile Device)
Need to do a quick reverse image search when you’re on the go?
Here’s how to do it without turning on your computer.
1. Open Google Images In Your Chrome App
Using the Chrome app is an easy way to use reverse image search on your phone if you’re pulling a picture from the web.
Open your Chrome app and pull up Google Image Search via images.google.com.
2. Search For Your Image
Screenshot from search for [computer backgrounds], Google, May 2022Type keywords for the image you’re looking for into the search bar and tap the magnifying glass.
A list of images will appear.
Tap your desired image.
3. Select “Search Google For this Image”
Screenshot from Google, May 2022After you open the image on your phone, click and hold on the picture.
A drop-down menu will appear with several options.
Click the bottom tab that says, “Search Google for This Image.”
4. Explore Your Results
A new tab will open in Chrome, showing you where else the image is located and the different sizes available.
How To Do A Reverse Image Search On Google (Mobile, In A Browser)
1. Open Google Images In Your Web Browser
The easiest way to do a reverse search on your phone is to download the Chrome app as outlined above, but it is possible to do it in your browser, too.
The first step, naturally, is to open Google Images in your browser.
2. Switch To Desktop View
Screenshot from Google, May 2022You’ll notice that, once you pull up Google Images on your phone, there is nowhere to search an image.
To obtain that feature, change the website settings to the desktop view:
- Click the double “AA” icon in the top left corner of the search bar.
- Select the third option on the drop-down menu that says, “Request Desktop Website.”
This will change the screen to look like the Google browser you would traditionally see on your computer.
3. Upload An Image
Screenshot from Google Images, May 2022Click the camera icon on the right side of the Google Images search bar to explore your desired image.
Two options will appear: “Paste image URL” and “Upload an image.”
If the image is uploaded on your camera roll, select “Upload an image,” click “Photo Library” and select your picture.
The browser will then upload the photo for you.
You can also choose to take a photo or browse your previous documents or screenshots when uploading a file.
4. Or, Paste The Image URL
Screenshot from Google Images, May 2022If you don’t have the image saved on your phone, select the “Paste image URL” tab.
To obtain your picture’s URL, open the photo in your browser, hold the image down, and select “Copy.”
After that, paste your URL into the URL upload tab. This is done on most phones by double-tapping the search box and selecting “Paste.”
5. Explore Your Results
After you either upload your image or paste the URL, click the search icon.
The website will show you related searches, other available image sizes and websites containing the same picture.
How To Do Reverse Image Search On Google (iPhone)
Open your browser and go to images.google.com.
If you’re using Safari, click on the double “AA” icon on the left side of the browser search bar.
If you’re using Chrome, look at the bottom-right of your screen for the three dots and click that.
Select “Request Desktop Site.”
Upload your image to see the results.
How To Do Reverse Image Search On Bing
Click on the “Images“ option on the top left side of Bing’s homepage.
Select the “Search using an image“ icon on the search bar.
Screenshot from Bing Images, May 2022At this point, your options are to drag an image into the search box, upload an image manually by searching files on your computer, or paste an image or URL.
Screenshot from Bing Images, May 2022Note: Unlike with Google, you can drag more than one image into the search bar!
Here are the results for a photo uploaded from desktop.
Screenshot from Bing Images, May 2022You can click on tabs to view pages where the image appears, similar images, and related searches.
How To Do Reverse Image Search On Yandex
On Yandex, click “Images” on the top left of the search bar.
Screenshot from Yandex, May 2022Click on the camera icon.
Screenshot from Yandex Visual Search, May 2022You’ll get the option to enter your image’s URL or upload a photo from your desktop.
Let’s say you decide to save and then upload the photo from desktop. You’ll get results like these.
Screenshot from Yandex Images, May 2022If you scroll down, you’ll see similar images and a list of all the pages where the image is displayed.
How To Do Reverse Image Search On TinEye
TinEye is the search engine where you can do a quick, no-nonsense reverse image search.
Screenshot from TinEye, May 2022To start, click the “Upload” button on the left side of the search bar to browse saved images on your desktop.
Or, paste the image’s URL into the search bar.
You can also drag and drop an image from an open browser tab straight into the TinEye homepage.
When you’re done, you’ll get results like these.
Screenshot from TinEye, May 2022The cool part is you can use filters to search by image size, newest or oldest post, best match, and most changed.
You can also filter by website or collection to narrow down your results.
Screenshot from TinEye, May 2022Reverse Image Search: The Easy Way To Research Images
Reverse image search is useful, easy, and fun.
There are a ton of reasons why you might want to do a reverse image search.
- You want to know if you can post the image on your site.
- You want to find the original source or creator of an image.
- You want to know who’s using your images.
- You’re just curious about an image you like.
And, you can do a reverse image search on your favorite browser, no matter what that may be.
You’re not limited by device, either. It’s easy to do on Mac or PC, iPhone or Android, mobile or desktop.
Now you have no excuse not to track down the origins of that mysterious, yet amazing, image that will add depth to your blog post.
So, get out there and play image detective!
More Resources:
Featured Image: AboutLife/Shutterstock
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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.
Screenshot from ChatGPT, March 2023This 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.
Screenshot from ChatGPT, November 2023On 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.
Screenshot from ChatGPT, November 2023Looking 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.
Screenshot from LinkedIn, November 2023My 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.
Screenshots from LinkedIn, November 2023How? 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:
Screenshot from Semrush US database, desktop, September 2023Now, 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.
Screenshots from LinkedIn, November 2023See 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.
Screenshots from LinkedIn, November 20232. 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?
Screenshots from LinkedIn, November 2023The 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).
Screenshot from LinkedIn, November 2023It 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:
Screenshot from Semrush, November 2023- 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.
Screenshot from Semrush, November 2023Is 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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