Jake Profile picture
17 Nov, 15 tweets, 5 min read
Does Wikipedia give you enough data to create a topic cluster (for a niche you know nothing about)?

Let's find out...
DISCLAIMER: If you want to build a comprehensive topic cluster, there's no substitute for proper research

BUT, that's not always possible (no budget/time, etc)

Treat this as minimum viable niche research (MVNR) which I sadly don't see catching on as the next big #SEO acronym 😅
For this example, let's build a simple content plan around the topic *personal injury lawyer*

(which I know NOTHING about)

First up, see if theres a wiki page:
en.wikipedia.org/wiki/Personal_…
Run the wiki page through Ahrefs & review the keywords it ranks for.

Look for terms you could split into standalone articles.

You want to see keywords with a clear intent so you can directly answer the query (so you have a chance of competing).
If you are on a budget and don't have Ahrefs, you can do the same with the Keywords Everywhere add-on:

* Do a site: search in Google for your URL
* Click on Total keywords
* Repeat the process
Now copy the wiki page URL and run it through MissingTopics.

This is a great FREE tool for finding the most important topics + entities on pages.

missingtopics.com/topics
You'll now have a list of (you guessed it) missing topics:

* Copy these
* Clean them up (remove numbers, brackets ect)
* Use as seed keywords in Ahrefs...
Oh, just make sure you review the topics/seeds before pasting them into Ahrefs.

In this example, one of the topics was 'united states' which will obviously skew your results.

Anyway...
Go to Ahrefs keyword explorer and paste in the missing topics as seeds.

Then apply these filters:

* Select Questions
* Terms match
* Set a minimum volume
Review the keywords & look for terms to add to your cluster.

The good thing about this method is you may uncover terms you didn't know existed (because you don't know the niche).
Fairly quickly I've got a list of informational terms to go after.

Is this going to be the most comprehensive cluster? No.

But it's a starting point and not bad considering I know NOTHING about the niche.
This process took like 5 minutes, and I found a good amount of keywords to create content around.

When you are working in niches you don't have a working knowledge of, you don't know what you don't know.

That's where this lil' wiki method can help.
If you want to go further:

Fire up the Detailed SEO extension:

detailed.com/extension/
* Go to the wiki page from the start
* Click Links then export complete links
* Look through this data to find related wiki pages being internally linked to.

These are future topics you can repeat this process for (or just include in supporting content)
So in answer to the original question:

Does Wikipedia give you enough data to create a topic cluster (for a niche you know nothing about)?

Yeah, but you'll still need to use your SEO skills + brain 🧠

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Jake

Jake Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @jsvxc

19 Nov
FREE tools for content marketers (+ use cases) to make your #SEO life a bit easier.

✅ entity extraction
✅ free keyword research tools
✅ Google Sheets templates
✅ + lots MORE...
Metatags

Mock up + preview title tags, meta descriptions ect before you push content live.

(saved me a few times before promoting articles w/ broken social images)

metatags.io
MissingTopics

Extract entities from URLs, see common headings being used + find topics missing from your content vs competitors.

missingtopics.com Image
Read 16 tweets
8 Nov
12 none obvious SEO use cases of @ahrefs 🔥

Here's a thread of threads (that no one asked for):
1) Finding money keywords for affiliate/niche sites:

Read 14 tweets
13 Oct
Reverse engineer the SERPs for content ideas ⚡

A simple process I've been playing around with to find niche relevant competitors + keywords
Let's say we want to build a cluster around the keyword:

*project management best practices*

Google the term + scrape the top ranking URLs.

Use this if you want:
Now copy each of the domains and add them to Ahrefs Content Gap:
Read 6 tweets
29 Sep
Niche selection vs analysis paralysis, it's a fine line.

To avoid procrastinating when building content sites, I use a *very* simple checklist before I do anything.
My philosophy for building content sites:

Niche sites are places to experiment + generate additional income. I don't want to spend all my time building, managing or putting all my eggs in one basket.

I want to front load content, get it ranked, revisit + improve.
So based on that, here are the things I look for when deciding to build out a site.
Read 9 tweets
28 Sep
How to find easy to rank keywords (based on domain age)
The premise of this method is simple:

Find young websites ranking for terms you want to rank for.

If a new-ish site with low authority can rank for a KW, so can do too with a more established site (probably).
1. Get URLs

Google a keyword you want to rank for.

Update search settings to show 100 results

Copy all page URLs
Read 8 tweets
15 Sep
AI content + display ads = 💰❓

Is this a profitable way to monetize niche sites? Here are my thoughts on whether AI content get you:

1️⃣ Traffic
2️⃣ Rankings
3️⃣ $$$
I've played around with AI content a little bit. I'm going to highlight ONE page I created with it.

What you need to know:

* published on 26th July
* 1100 words
* low comp keyword in low comp niche
* published on established site
* no links built
1️⃣ Traffic

So far, just that article has gained 278 pageviews. Ok numbers but nothing amazing.

So YES, AI content *can* generate traffic ✅ Image
Read 13 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Thank you for your support!

Follow Us on Twitter!

:(