A quick recap on why coding (#Python) may help some #SEO professionals or some people pursuing their goals.

A short thread for those folks looking for motivation 🧡
🐍 Scrape competitors to get their headings and optimize accordingly.

Check their sitemaps/RSS feeds to find articles and understand their content frequency.
🐍 Analyze SERPs and find keywords with the same pages.

Analyze titles, get the most common words and visualize them.
🐍 Understand what a page is about with #NLP. Find topics on websites and learn how to extract entities.

Check Wikipedia or competitors to find useful entities and include them in your copy.
🐍 Analyze data where Excel miserably fails.

Visualize, explain and get insights from your data in a reproducible manner that spreadsheets can not give you.
🐍 Some features of competitor analysis and much more without spending a fortune on tools.

You cannot replace entire databases but you can check other data that are super useful too.
🐍 Better insights and processes with automation and workflows.

Focus on the part of the SEO that gets you ROI and delegates the rest to machines. Working on implementation is key.
Follow me for threads, tips and case studies (coming soon) about SEO, content and Python/data.

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More from @GiordMarco96

May 7
How to differentiate yourself as an #SEO professional?

What I've learned so far can be your fortune, who knows.

A short thread about YOUR value proposition. 🧡
Focus on one area of SEO rather than doing it all.

It's easier to pick something you like and collaborate with others to solve problems.

I picked content, data and strategy because I feel comfortable with them.
Ignore trends if they are not suitable for what you want to do.

Of course, you have to be updated but you don't need to learn new skills if they're totally unrelated to what you want to achieve.
Read 10 tweets
May 5
Fight fire with fire: how to leverage competitors using AI-generated or translated content and much more!

And not only that, how to expand your ideas!

Here's my second short thread. 🧡
In a lot of non-English speaking countries, it's full of scraped, translated or even generated websites.

This is actually super good for you and you will see why it's so convenient.
Finding these websites is not so hard if you look for niche stuff or try some slightly different research.

It's important to find as many as you can because you can find some cool data.

Once you have the list...
Read 14 tweets
May 3
Launching a new format today: short threads. 🧡

How to find golden opportunities in Google Search Console.

Increase your traffic and (possibly?) ROI by finding new #SEO insights.
You can use Google Sheets or #Python/R, as you prefer.

If you go with the first, download this add-on:

workspace.google.com/marketplace/ap…
Python: searchconsole (github.com/joshcarty/goog…)

R: searchConsoleR (cran.r-project.org/web/packages/s…)

This is what you need to query the API, much better!
Read 14 tweets
May 1
After some years in blogging, I've tested several techniques and methods so you don't have to!

This thread is all about content and blogs, yes, also niche websites. 🧡
Before I start, check my related thread as well:

The first thing to recall is that simple is always better.

Forget a lot of technical details, content websites need content.

This seems obvious but it's not at all!

The amount of people still wasting time on useless technical fixes is enormous.
Read 37 tweets
Apr 29
Some #SEO concepts that are not so common across mainstream resources.

They will probably become more known with time (I hope).

This is an updated thread 🧡
"Proper" Content Marketing. Most of us work with content and have a deep interest in content, to some extent.

Content Marketing is a separate subject but it overlaps with some SEO areas.

On-Page optimization is usually presented as a checklist of instructions.
Great content doesn't follow a boring checklist.

Even the process of optimization is not as simple as before.

This is quite hard to explain!
Read 32 tweets
Apr 27
There are many similarities between #SEO and what many Data professionals do.

We can say that in both cases we are talking about relatively new fields.

This thread talks about striking commonalities between SEO and #DataScience. 🧡
Both are new jobs, there are no clear boundaries and they are often confused with other professions.

SEOs overlap with content marketers, webmasters and marketing managers.

Data Scientists are often confused with Analysts, ML Engineers and even Data Engineers.
What was said in the tweet above is of course wrong.

Still, an SEO can indeed be a content marketer or a manager too!

A Data Analyst can do other tasks that are oriented toward Machine Learning.

So yes, it depends on the company and the scope of the projects.
Read 35 tweets

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