This ChatGPT Prompt just made Google SEO 10x Easier!
– In the last few years,
an SEO tactic has emerged that has revolutionized the way people do search engine optimization. That tactic is topical authority. In a nutshell, topical
authority is achieved when your website covers
a topic more completely than your competition. And when that happens, expect
meteoric traffic growth. Sounds simple enough, but when
it comes down to doing it, topical authority is a complicated topic that only the top SEO professionals seem to fully understand. That is until now. In this video, I'm gonna show you how
the free AI tool, ChatGPT, has made topical authority easy as (beep). Just look at this glorious traffic boner from a website I applied
the strategy to, recently. Now, in order to explain
how this exploit works, did I say exploit? I didn't mean that, but it
certainly feels that way. Anyways, to explain how it works, let me quickly break down
topical authority as a concept. If you write a single article on a topic like protein
powder, for example, Google just doesn't give a rat's ass.
Even if you got Arnold
freaking Schwarzenegger and The Rock to co-write it, and it happened to be the best
damn protein powder article on the planet, Google is like- – I don't give up a (beep) – But once you've proven yourself by writing more and more
topical articles like, does protein powder make you fat? How much protein can you absorb in a day? Then Google's like, okay,
this website is developing into a topical authority on protein, let's award it with some
sweet, sweet traffic. Now, there's many ranking factors that determine your position on Google. We have topical authority as discussed, but there's also
backlinks, content quality, technical SEO, and more. The weight behind topical
authority is so high that even if you lack in the
other signals like backlinks, you can find yourself competing with websites out of your league, like this case study
here that Koray posted. Zero link building done,
massive traffic gains. Now, problem number one, you need to produce a
metric ass ton of content in order to achieve topical authority. For example, when I did research on protein powder as a topic, I found over 200 unique articles
that need to be written.
This can be costly. For example, 200 articles
written at $0.06/word and an average word length of 1,500 words is gonna cost you a cool $18,000. If you had one writer that could
produce an article per day, you'd be done in six months. You can get it done in 40
days if you use five writers, but managing that is about
as fun as a migraine. That said, this is all no problem because AI software like ChatGPT is letting you turn out
content fast as hell. After you finish here, check
out my video case study on how I built an entire website
with AI generated content, link in the description.
However, there's a second problem with implementing topical authority. What all are you supposed
to write to cover a topic and achieve topical authority status? If you're trying to
become a topical authority on protein powder, how did I
know that there's 212 articles that need to be written? This is called creating a topical map and it's where 99% of people
get stuck with this process. Turns out ChatGPT is a freaking cheat code when it comes to topical maps, too. And that's what I'm gonna show
you how to do in this video.
But real quick, head to the
link in the pinned comment to sign up for my free
SEO training masterclass. You'll learn everything
I'm doing today, in 2023, to get websites to the top of Google. Now, back to the video. To generate a topical map manually involves a two-step process. First, you source subtopics
from as many places as possible, answer the public, people also ask, the auto complete
function, related searches, a trust question report,
the Google NLP API, and your competitor's site maps. You're gonna end up with a giga list of thousands of different keyword topics. Some of them belong on
the same page such as, what's the best tasting protein powder and best flavored protein drink? But some should be separate. You then use a clustering software to sort them into their proper articles. This process works great, but it takes dozens of hours
to produce a topical map and it takes quite a
few tool subscriptions.
Here's how to do it with ChatGPT for free. First, if you haven't already signed up, go to chat.openai.com. You might just be the
last person on the planet. I'm gonna use the topic of gym exercises as our first ChatGPT topical map example. Let's start by agreeing that some topics are gonna
mean more topically related to the subject of gym
exercises than other topics.
If you write an article on bench press, everyone can agree, Google included, that bench press is a gym exercise. Once you write that article, it's gonna help your topical authority. But if you write an article on yoga, sure, some people may consider
yoga to be an exercise, but it's not really a gym exercise. Now, by this logic, some
articles are more beneficial than others for the purpose
of building topical authority.
Let's agree on that. So it makes sense that you'd want to target these articles first. Let's ask ChatGPT, the
free AI tool, to tell us what the most super
relevant subtopics are. Yo, ChatGPT, give me 30
semantically relevant, but unique topics under the
main category of gym exercises? And here you have it, bench
press, squats, deadlifts, all the way down to jumping lunges. Ain't no yoga in here. Now you can ask ChatGPT, give me 10 different keyword variations of bench press that address
a different search intent. How to increase bench press,
best bench press workout, bench press technique. Now, if you repeat this with the 29 other exercises from before, you now have a topical map of
300 highly relevant articles to the concept of gym exercises. And the critical thing to remember, these are the articles
that are most essential for getting to topical authority, and that's because of
their semantic relevance to the main topic of gym exercises.
Let's do it again with
protein powder as the example. Give me 30 semantically relevant, but unique topics under the
main category of protein powder. And here we are, types of protein powder, benefits of protein powder, how to choose a protein
powder, and so forth. For some reason, ChatGPT
spit these out a bit wordy, plant-based protein
powders and their benefits. Yeah, that's too much. Hey, ChatGPT, reduce each down to three to five word length keywords.
There we go. Now it's simply plant-based
protein powders. Let's ask you to break that category down. Give me 10 different keyword variations of plant-based protein powders that address a different search intent. And again, let's make them more concise. And here we are, nice and neat. But you know what, I have a feeling that the plant-based
protein powder category is bigger than 10 topics. Hey, ChatGPT, give me 30
of these topics instead. If we have the 30 topics
from the first step, broken down into the 30
unique keywords each, that's 900 topics. That's all it takes to
expand using this method. 10, 20, 30, 100, these
are all arbitrary numbers. Just know that the
bigger you make your map, the less relevant each
of its topics will be. Is this ChatGPT topical map process as good as the manual way? To be honest, probably not.
When you're scraping topic categories from places like the Google NLP API and digging into competitor's site maps, you're gonna be able to
dig out abstract topics, like protein powder pancake recipe. So the manual method is
gonna be more complete but with the ChatGPT topical map, you make up for it with the
speed, cost, and relevance. If we go back to the
protein powder topic dump, you'll notice that the more
semantically relevant topics are at the top, while less
relevant ones are at the bottom. When you're writing, if you work your way down from the top you'll find that you achieve
topical authority faster than if you covered
these topics at random.
How will you know when
you hit topical authority? Well, because your traffic will be pitching a tent like this, so it's quite noticeable. So now you know what you need to write, it's time to get that content written. But why not continue to use AI to keep the process both
quick and high quality? At the top here, I've left the link to a video case study where
I walk you through exactly how I build a profitable
website using 100% AI content. Make sure to watch that now..
