SEO
How I Beat Google’s Core Update by Changing the Game
Google released a major update. They typically don’t announce their updates, but you know when they do, it is going to be big.
And that’s what happened with the most recent update that they announced.
A lot of people saw their traffic drop. And of course, at the same time, people saw their traffic increase because when one site goes down in rankings another site moves up to take its spot.
Can you guess what happened to my traffic?
Well, based on the title of the post you are probably going to guess that it went up.
Now, let’s see what happened to my search traffic.
My overall traffic has already dipped by roughly 6%. When you look at my organic traffic, you can see that it has dropped by 13.39%.
I know what you are thinking… how did you beat Google’s core update when your traffic went down?
What if I told you that I saw this coming and I came up with a solution and contingency strategy in case my organic search traffic would ever drop?
But before I go into that, let me first break down how it all started and then I will get into how I beat Google’s core update.
A new trend
I’ve been doing SEO for a long time… roughly 18 years now.
When I first started, Google algorithm updates still sucked but they were much more simple. For example, you could get hit hard if you built spammy links or if your content was super thin and provided no value.
Over the years, their algorithm has gotten much more complex. Nowadays, it isn’t about if you are breaking the rules or not. Today, it is about optimizing for user experience and doing what’s best for your visitors.
But that in and of itself is never very clear. How do you know that what you are doing is better for a visitor than your competition?
Honestly, you can never be 100% sure. The only one who actually knows is Google. And it is based on whoever it is they decide to work on coding or adjusting their algorithm.
Years ago, I started to notice a new trend with my search traffic.
Look at the graph above, do you see the trend?
And no, my traffic doesn’t just climb up and to the right. There are a lot of dips in there. But, of course, my rankings eventually started to continually climb because I figured out how to adapt to algorithm updates.
On a side note, if you aren’t sure how to adapt to the latest algorithm update, read this. It will teach you how to recover your traffic… assuming you saw a dip. Or if you need extra help, check out my ad agency.
In many cases after an algorithm update, Google continues to fine-tune and tweak the algorithm. And if you saw a dip when you shouldn’t have, you’ll eventually start recovering.
But even then, there was one big issue. Compared to all of the previous years, I started to feel like I didn’t have control as an SEO anymore back in 2017. I could no longer guarantee my success, even if I did everything correctly.
Now, I am not trying to blame Google… they didn’t do anything wrong. Overall, their algorithm is great and relevant. If it wasn’t, I wouldn’t be using them.
And just like you and me, Google isn’t perfect. They continually adjust and aim to improve. That’s why they do over 3,200 algorithm updates in a year.
But still, even though I love Google, I didn’t like the feeling of being helpless. Because I knew if my traffic took a drastic dip, I would lose a ton of money.
I need that traffic, not only to drive new revenue but, more importantly, to pay my team members. The concept of not being able to pay my team on any given month is scary, especially when your business is bootstrapped.
So what did I do?
I took matters into my own hands
Although I love SEO, and I think I’m pretty decent at it based on my traffic and my track record, I knew I had to come up with another solution that could provide me with sustainable traffic that could still generate leads for my business.
In addition to that, I wanted to find something that wasn’t “paid,” as I was bootstrapping. Just like how SEO was starting to have more ups and downs compared to what I’ve seen in my 18-year career, I knew the cost at paid ads would continually rise.
Just look at Google’s ad revenue. They have some ups and downs every quarter but the overall trend is up and to the right.
In other words, advertising will continually get more expensive over time.
And it’s not just Google either. Facebook Ads keep getting more expensive as well.
I didn’t want to rely on a channel that would cost me more next year and the year after because it could get so expensive that I may not be able to profitably leverage it in the future.
So, what did I do?
I went on a hunt to figure out a way to get direct, referral, and organic traffic that didn’t rely on any algorithm updates. (I will explain what I mean by organic traffic in a bit.)
I went on my mission
With the help of my buddy, Andrew Dumont, I went searching for websites that continually received good traffic even after algorithm updates.
Here were the criteria that we were looking for:
- Sites that weren’t reliant on Google traffic
- Sites that didn’t need to continually produce more content to get more traffic
- Sites that weren’t popular due to social media traffic (we both saw social traffic dying)
- Sites that didn’t leverage paid ads in the past or present
- Sites that didn’t leverage marketing
In essence, we were looking for sites that were popular because people naturally liked them. Our intentions at first weren’t to necessarily buy any of these sites. Instead, we were trying to figure out how to naturally become popular so we could replicate it.
Do you know what we figured out?
I’ll give you a hint.
Think of it this way: Google doesn’t get the majority of their traffic from SEO. And Facebook doesn’t get their traffic because they rank everywhere on Google or that people share Facebook.com on the social web.
Do you know how they are naturally popular?
It comes down to building a good product.
That was my aha! moment. Why continually crank out thousands of pieces of content, which isn’t scalable and is a pain as you eventually have to update your old content, when I could just build a product?
That’s when Andrew and I stumbled upon Ubersuggest.
Now the Ubersuggest you see today isn’t what it looked like in February 2017 when I bought it.
It used to be a simple tool that just showed you Google Suggest results based on any query.
Before I took it over, it was generating 117,425 unique visitors per month and had 38,700 backlinks from 8,490 referring domains.
All of this was natural. The original founder didn’t do any marketing. He just built a product and it naturally spread.
The tool did, however, have roughly 43% of its traffic coming from organic search. Now, can you guess what keyword it was?
The term was “Ubersuggest”.
In other words, its organic traffic mainly came from its own brand, which isn’t really reliant on SEO or affected by Google algorithm updates. That’s also what I meant when I talked about organic traffic that wasn’t reliant on Google.
Now since then I’ve gone a bit crazy with Ubersuggest and released loads of new features… from daily rank tracking to a domain analysis and site audit report to a content ideas report and backlinks report.
In other words, I’ve been making it a robust SEO tool that has everything you need and is easy to use.
It’s been so effective that the traffic on Ubersuggest went from 117,425 unique visitors to a whopping 651,436 unique visitors that generates 2,357,927 visits and 13,582,999 pageviews per month.
Best of all, the users are sticky, meaning the average Ubersuggest user spends over 26 minutes on the application each month. This means that they are engaged and will likely to convert into customers.
As I get more aggressive with my Ubersuggest funnel and start collecting leads from it, I expect to receive many more emails like that.
And over the years, I expect the traffic to continually grow.
Best of all, do you know what happens to the traffic on Ubersuggest when my site gets hit by a Google algorithm update or when my content stops going viral on Facebook?
It continually goes up and to the right.
Now, unless you dump a ton of money and time into replicating what I am doing with Ubersuggest, but for your industry, you won’t generate the results I am generating.
As my mom says, I’m kind of crazy…
But that doesn’t mean you can’t do well on a budget.
Back in 2013, I did a test where I released a tool on my old blog Quick Sprout. It was an SEO tool that wasn’t too great and honestly, I probably spent too much money on it.
Here were the stats for the first 4 days of releasing the tool:
- Day #1: 8,462 people ran 10,766 URLs
- Day #2: 5,685 people ran 7,241 URLs
- Day #3: 1,758 people ran 2,264 URLs
- Day #4: 1,842 people ran 2,291 URLs
Even after the launch traffic died down, still 1,000+ people per day used the tool. And, over time, it actually went up to over 2,000.
It was at that point in my career, I realized that people love tools.
I know what you are thinking though… how do you do this on a budget, right?
How to build tools without hiring developers or spending lots of money
What’s silly is, and I wish I knew this before I built my first tool on Quick Sprout back in the day, there are tools that already exist for every industry.
You don’t have to create something new or hire some expensive developers. You can just use an existing tool on the market.
And if you want to go crazy like me, you can start adding multiple tools to your site… just like how I have an A/B testing calculator.
So how do you add tools without breaking the bank?
You buy them from sites like Code Canyon. From $2 to $50, you can find tools on just about anything. For example, if I wanted an SEO tool, Code Canyon has a ton to choose from. Just look at this one.
Not a bad looking tool that you can have on your website for just $40. You don’t have to pay monthly fees and you don’t need a developer… it’s easy to install and it doesn’t cost much in the grand scheme of things.
And here is the crazy thing: The $40 SEO tool has more features than the Quick Sprout one I built, has a better overall design, and it is .1% the cost.
Only if I knew that before I built it years ago. :/
Look, there are tools out there for every industry. From mortgage calculators to calorie counters to a parking spot finder and even video games that you can add to your site and make your own.
In other words, you don’t have to build something from scratch. There are tools for every industry that already exists and you can buy them for pennies on the dollar.
Conclusion
I love SEO and always will. Heck, even though many SEOs hate how Google does algorithm updates, that doesn’t bother me either… I love Google and they have built a great product.
But if you want to continually do well, you can’t rely on one marketing channel. You need to take an omnichannel approach and leverage as many as possible.
That way, when one goes down, you are still generating traffic.
Now if you want to do really well, think about most of the large companies out there. You don’t build a billion-dollar business from SEO, paid ads, or any other form of marketing. You first need to build an amazing product or service.
So, consider adding tools to your site, the data shows it is more effective than content marketing and it is more scalable.
Sure you probably won’t achieve the results I achieved with Ubersuggest, but you can achieve the results I had with Quick Sprout. And you can achieve better results than what you are currently getting from content marketing.
What do you think? Are you going to add tools to your site?
PS: If you aren’t sure what type of tool you should add to your site, leave a comment and I will see if I can give you any ideas. 🙂
SEO
Why Google Can’t Tell You About Every Ranking Drop
In a recent Twitter exchange, Google’s Search Liaison, Danny Sullivan, provided insight into how the search engine handles algorithmic spam actions and ranking drops.
The discussion was sparked by a website owner’s complaint about a significant traffic loss and the inability to request a manual review.
Sullivan clarified that a site could be affected by an algorithmic spam action or simply not ranking well due to other factors.
He emphasized that many sites experiencing ranking drops mistakenly attribute it to an algorithmic spam action when that may not be the case.
“I’ve looked at many sites where people have complained about losing rankings and decide they have a algorithmic spam action against them, but they don’t. “
Sullivan’s full statement will help you understand Google’s transparency challenges.
Additionally, he explains why the desire for manual review to override automated rankings may be misguided.
Two different things. A site could have an algorithmic spam action. A site could be not ranking well because other systems that *are not about spam* just don’t see it as helpful.
I’ve looked at many sites where people have complained about losing rankings and decide they have a…
— Google SearchLiaison (@searchliaison) May 13, 2024
Challenges In Transparency & Manual Intervention
Sullivan acknowledged the idea of providing more transparency in Search Console, potentially notifying site owners of algorithmic actions similar to manual actions.
However, he highlighted two key challenges:
- Revealing algorithmic spam indicators could allow bad actors to game the system.
- Algorithmic actions are not site-specific and cannot be manually lifted.
Sullivan expressed sympathy for the frustration of not knowing the cause of a traffic drop and the inability to communicate with someone about it.
However, he cautioned against the desire for a manual intervention to override the automated systems’ rankings.
Sullivan states:
“…you don’t really want to think “Oh, I just wish I had a manual action, that would be so much easier.” You really don’t want your individual site coming the attention of our spam analysts. First, it’s not like manual actions are somehow instantly processed. Second, it’s just something we know about a site going forward, especially if it says it has change but hasn’t really.”
Determining Content Helpfulness & Reliability
Moving beyond spam, Sullivan discussed various systems that assess the helpfulness, usefulness, and reliability of individual content and sites.
He acknowledged that these systems are imperfect and some high-quality sites may not be recognized as well as they should be.
“Some of them ranking really well. But they’ve moved down a bit in small positions enough that the traffic drop is notable. They assume they have fundamental issues but don’t, really — which is why we added a whole section about this to our debugging traffic drops page.”
Sullivan revealed ongoing discussions about providing more indicators in Search Console to help creators understand their content’s performance.
“Another thing I’ve been discussing, and I’m not alone in this, is could we do more in Search Console to show some of these indicators. This is all challenging similar to all the stuff I said about spam, about how not wanting to let the systems get gamed, and also how there’s then no button we would push that’s like “actually more useful than our automated systems think — rank it better!” But maybe there’s a way we can find to share more, in a way that helps everyone and coupled with better guidance, would help creators.”
Advocacy For Small Publishers & Positive Progress
In response to a suggestion from Brandon Saltalamacchia, founder of RetroDodo, about manually reviewing “good” sites and providing guidance, Sullivan shared his thoughts on potential solutions.
He mentioned exploring ideas such as self-declaration through structured data for small publishers and learning from that information to make positive changes.
“I have some thoughts I’ve been exploring and proposing on what we might do with small publishers and self-declaring with structured data and how we might learn from that and use that in various ways. Which is getting way ahead of myself and the usual no promises but yes, I think and hope for ways to move ahead more positively.”
Sullivan said he can’t make promises or implement changes overnight, but he expressed hope for finding ways to move forward positively.
Featured Image: Tero Vesalainen/Shutterstock
SEO
56 Google Search Statistics to Bookmark for 2024
If you’re curious about the state of Google search in 2024, look no further.
Each year we pick, vet, and categorize a list of up-to-date statistics to give you insights from trusted sources on Google search trends.
Check out more resources on how Google works:
Learn more
SEO
How To Use ChatGPT For Keyword Research
Anyone not using ChatGPT for keyword research is missing a trick.
You can save time and understand an entire topic in seconds instead of hours.
In this article, I outline my most effective ChatGPT prompts for keyword research and teach you how I put them together so that you, too, can take, edit, and enhance them even further.
But before we jump into the prompts, I want to emphasize that you shouldn’t replace keyword research tools or disregard traditional keyword research methods.
ChatGPT can make mistakes. It can even create new keywords if you give it the right prompt. For example, I asked it to provide me with a unique keyword for the topic “SEO” that had never been searched before.
“Interstellar Internet SEO: Optimizing content for the theoretical concept of an interstellar internet, considering the challenges of space-time and interplanetary communication delays.”
Although I want to jump into my LinkedIn profile and update my title to “Interstellar Internet SEO Consultant,” unfortunately, no one has searched that (and they probably never will)!
You must not blindly rely on the data you get back from ChatGPT.
What you can rely on ChatGPT for is the topic ideation stage of keyword research and inspiration.
ChatGPT is a large language model trained with massive amounts of data to accurately predict what word will come next in a sentence. However, it does not know how to do keyword research yet.
Instead, think of ChatGPT as having an expert on any topic armed with the information if you ask it the right question.
In this guide, that is exactly what I aim to teach you how to do – the most essential prompts you need to know when performing topical keyword research.
Best ChatGPT Keyword Research Prompts
The following ChatGPT keyword research prompts can be used on any niche, even a topic to which you are brand new.
For this demonstration, let’s use the topic of “SEO” to demonstrate these prompts.
Generating Keyword Ideas Based On A Topic
What Are The {X} Most Popular Sub-topics Related To {Topic}?
The first prompt is to give you an idea of the niche.
As shown above, ChatGPT did a great job understanding and breaking down SEO into three pillars: on-page, off-page & technical.
The key to the following prompt is to take one of the topics ChatGPT has given and query the sub-topics.
What Are The {X} Most Popular Sub-topics Related To {Sub-topic}?
For this example, let’s query, “What are the most popular sub-topics related to keyword research?”
Having done keyword research for over 10 years, I would expect it to output information related to keyword research metrics, the types of keywords, and intent.
Let’s see.
Screenshot from ChatGPT 4, April 2024Again, right on the money.
To get the keywords you want without having ChatGPT describe each answer, use the prompt “list without description.”
Here is an example of that.
List Without Description The Top {X} Most Popular Keywords For The Topic Of {X}
You can even branch these keywords out further into their long-tail.
Example prompt:
List Without Description The Top {X} Most Popular Long-tail Keywords For The Topic “{X}”
Screenshot ChatGPT 4,April 2024List Without Description The Top Semantically Related Keywords And Entities For The Topic {X}
You can even ask ChatGPT what any topic’s semantically related keywords and entities are!
Screenshot ChatGPT 4, April 2024Tip: The Onion Method Of Prompting ChatGPT
When you are happy with a series of prompts, add them all to one prompt. For example, so far in this article, we have asked ChatGPT the following:
- What are the four most popular sub-topics related to SEO?
- What are the four most popular sub-topics related to keyword research
- List without description the top five most popular keywords for “keyword intent”?
- List without description the top five most popular long-tail keywords for the topic “keyword intent types”?
- List without description the top semantically related keywords and entities for the topic “types of keyword intent in SEO.”
Combine all five into one prompt by telling ChatGPT to perform a series of steps. Example:
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, Step 4, and Step 5”
Example:
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, Step 4 and Step 5. Step 1 – Generate an answer for the 3 most popular sub-topics related to {Topic}?. Step 2 – Generate 3 of the most popular sub-topics related to each answer. Step 3 – Take those answers and list without description their top 3 most popular keywords. Step 4 – For the answers given of their most popular keywords, provide 3 long-tail keywords. Step 5 – for each long-tail keyword offered in the response, a list without descriptions 3 of their top semantically related keywords and entities.”
Generating Keyword Ideas Based On A Question
Taking the steps approach from above, we can get ChatGPT to help streamline getting keyword ideas based on a question. For example, let’s ask, “What is SEO?”
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, and Step 4. Step 1 Generate 10 questions about “{Question}”?. Step 2 – Generate 5 more questions about “{Question}” that do not repeat the above. Step 3 – Generate 5 more questions about “{Question}” that do not repeat the above. Step 4 – Based on the above Steps 1,2,3 suggest a final list of questions avoiding duplicates or semantically similar questions.”
Screenshot ChatGPT 4, April 2024Generating Keyword Ideas Using ChatGPT Based On The Alphabet Soup Method
One of my favorite methods, manually, without even using a keyword research tool, is to generate keyword research ideas from Google autocomplete, going from A to Z.
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Screenshot from Google autocomplete, April 2024
You can also do this using ChatGPT.
Example prompt:
“give me popular keywords that includes the keyword “SEO”, and the next letter of the word starts with a”
Screenshot from ChatGPT 4, April 2024Tip: Using the onion prompting method above, we can combine all this in one prompt.
“Give me five popular keywords that include “SEO” in the word, and the following letter starts with a. Once the answer has been done, move on to giving five more popular keywords that include “SEO” for each letter of the alphabet b to z.”
Generating Keyword Ideas Based On User Personas
When it comes to keyword research, understanding user personas is essential for understanding your target audience and keeping your keyword research focused and targeted. ChatGPT may help you get an initial understanding of customer personas.
Example prompt:
“For the topic of “{Topic}” list 10 keywords each for the different types of user personas”
Screenshot from ChatGPT 4, April 2024You could even go a step further and ask for questions based on those topics that those specific user personas may be searching for:
Screenshot ChatGPT 4, April 2024As well as get the keywords to target based on those questions:
“For each question listed above for each persona, list the keywords, as well as the long-tail keywords to target, and put them in a table”
Screenshot from ChatGPT 4, April 2024Generating Keyword Ideas Using ChatGPT Based On Searcher Intent And User Personas
Understanding the keywords your target persona may be searching is the first step to effective keyword research. The next step is to understand the search intent behind those keywords and which content format may work best.
For example, a business owner who is new to SEO or has just heard about it may be searching for “what is SEO.”
However, if they are further down the funnel and in the navigational stage, they may search for “top SEO firms.”
You can query ChatGPT to inspire you here based on any topic and your target user persona.
SEO Example:
“For the topic of “{Topic}” list 10 keywords each for the different types of searcher intent that a {Target Persona} would be searching for”
ChatGPT For Keyword Research Admin
Here is how you can best use ChatGPT for keyword research admin tasks.
Using ChatGPT As A Keyword Categorization Tool
One of the use cases for using ChatGPT is for keyword categorization.
In the past, I would have had to devise spreadsheet formulas to categorize keywords or even spend hours filtering and manually categorizing keywords.
ChatGPT can be a great companion for running a short version of this for you.
Let’s say you have done keyword research in a keyword research tool, have a list of keywords, and want to categorize them.
You could use the following prompt:
“Filter the below list of keywords into categories, target persona, searcher intent, search volume and add information to a six-column table: List of keywords – [LIST OF KEYWORDS], Keyword Search Volume [SEARCH VOLUMES] and Keyword Difficulties [KEYWORD DIFFICUTIES].”
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Screenshot from ChatGPT, April 2024
Tip: Add keyword metrics from the keyword research tools, as using the search volumes that a ChatGPT prompt may give you will be wildly inaccurate at best.
Using ChatGPT For Keyword Clustering
Another of ChatGPT’s use cases for keyword research is to help you cluster. Many keywords have the same intent, and by grouping related keywords, you may find that one piece of content can often target multiple keywords at once.
However, be careful not to rely only on LLM data for clustering. What ChatGPT may cluster as a similar keyword, the SERP or the user may not agree with. But it is a good starting point.
The big downside of using ChatGPT for keyword clustering is actually the amount of keyword data you can cluster based on the memory limits.
So, you may find a keyword clustering tool or script that is better for large keyword clustering tasks. But for small amounts of keywords, ChatGPT is actually quite good.
A great use small keyword clustering use case using ChatGPT is for grouping People Also Ask (PAA) questions.
Use the following prompt to group keywords based on their semantic relationships. For example:
“Organize the following keywords into groups based on their semantic relationships, and give a short name to each group: [LIST OF PAA], create a two-column table where each keyword sits on its own row.
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Screenshot from ChatGPT, April 2024
Using Chat GPT For Keyword Expansion By Patterns
One of my favorite methods of doing keyword research is pattern spotting.
Most seed keywords have a variable that can expand your target keywords.
Here are a few examples of patterns:
1. Question Patterns
(who, what, where, why, how, are, can, do, does, will)
“Generate [X] keywords for the topic “[Topic]” that contain any or all of the following “who, what, where, why, how, are, can, do, does, will”
Screenshot ChatGPT 4, April 20242. Comparison Patterns
Example:
“Generate 50 keywords for the topic “{Topic}” that contain any or all of the following “for, vs, alternative, best, top, review”
Screenshot ChatGPT 4, April 20243. Brand Patterns
Another one of my favorite modifiers is a keyword by brand.
We are probably all familiar with the most popular SEO brands; however, if you aren’t, you could ask your AI friend to do the heavy lifting.
Example prompt:
“For the top {Topic} brands what are the top “vs” keywords”
Screenshot ChatGPT 4, April 20244. Search Intent Patterns
One of the most common search intent patterns is “best.”
When someone is searching for a “best {topic}” keyword, they are generally searching for a comprehensive list or guide that highlights the top options, products, or services within that specific topic, along with their features, benefits, and potential drawbacks, to make an informed decision.
Example:
“For the topic of “[Topic]” what are the 20 top keywords that include “best”
Screenshot ChatGPT 4, April 2024Again, this guide to keyword research using ChatGPT has emphasized the ease of generating keyword research ideas by utilizing ChatGPT throughout the process.
Keyword Research Using ChatGPT Vs. Keyword Research Tools
Free Vs. Paid Keyword Research Tools
Like keyword research tools, ChatGPT has free and paid options.
However, one of the most significant drawbacks of using ChatGPT for keyword research alone is the absence of SEO metrics to help you make smarter decisions.
To improve accuracy, you could take the results it gives you and verify them with your classic keyword research tool – or vice versa, as shown above, uploading accurate data into the tool and then prompting.
However, you must consider how long it takes to type and fine-tune your prompt to get your desired data versus using the filters within popular keyword research tools.
For example, if we use a popular keyword research tool using filters, you could have all of the “best” queries with all of their SEO metrics:
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Screenshot from Ahrefs Keyword Explorer, March 2024
And unlike ChatGPT, generally, there is no token limit; you can extract several hundred, if not thousands, of keywords at a time.
As I have mentioned multiple times throughout this piece, you cannot blindly trust the data or SEO metrics it may attempt to provide you with.
The key is to validate the keyword research with a keyword research tool.
ChatGPT For International SEO Keyword Research
ChatGPT can be a terrific multilingual keyword research assistant.
For example, if you wanted to research keywords in a foreign language such as French. You could ask ChatGPT to translate your English keywords;
Screenshot ChatGPT 4, Apil 2024- The key is to take the data above and paste it into a popular keyword research tool to verify.
- As you can see below, many of the keyword translations for the English keywords do not have any search volume for direct translations in French.
Screenshot from Ahrefs Keyword Explorer, April 2024But don’t worry, there is a workaround: If you have access to a competitor keyword research tool, you can see what webpage is ranking for that query – and then identify the top keyword for that page based on the ChatGPT translated keywords that do have search volume.
-
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Screenshot from Ahrefs Keyword Explorer, April 2024
Or, if you don’t have access to a paid keyword research tool, you could always take the top-performing result, extract the page copy, and then ask ChatGPT what the primary keyword for the page is.
Key Takeaway
-
ChatGPT can be an expert on any topic and an invaluable keyword research tool. However, it is another tool to add to your toolbox when doing keyword research; it does not replace traditional keyword research tools.
As shown throughout this tutorial, from making up keywords at the beginning to inaccuracies around data and translations, ChatGPT can make mistakes when used for keyword research.
You cannot blindly trust the data you get back from ChatGPT.
However, it can offer a shortcut to understanding any topic for which you need to do keyword research and, as a result, save you countless hours.
But the key is how you prompt.
The prompts I shared with you above will help you understand a topic in minutes instead of hours and allow you to better seed keywords using keyword research tools.
It can even replace mundane keyword clustering tasks that you used to do with formulas in spreadsheets or generate ideas based on keywords you give it.
Paired with traditional keyword research tools, ChatGPT for keyword research can be a powerful tool in your arsenal.
More resources:
Featured Image: Tatiana Shepeleva/Shutterstock
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