Evergreen content is one of my favorite #SEO topics.

It's super crucial for publishers and especially for niche websites.

And yet, there are many ideas you can use 🧵
Evergreen refers to content that is not time-sensitive and is not particularly subject to seasonality or timeframes.

Search demand is constant through the years. They usually tackle recurring problems or super generic topics.
This type of content makes it easy to apply some advanced principles, as you want them to last.

Having good authors, good syntax with proper entities, and clear internal linking is the bare minimum for me.

This is very simple once you know the niche very well.
The best way to find evergreen topics is once again to know what you're talking about.

Coping competitors can be enough in some cases but you'll miss a lot of untapped opportunities.

Do your research and try to understand what you're missing.
New publishers should focus their efforts on evergreen content first.

News requires more writing capacity and brings way fewer results, especially in crowded markets.

I recommend writing news content later on!
Niche websites want content that is evergreen.

A bad example is given by the majority of videogame guides.

They are super popular at first, then their traffic tends to flatten until it gets progressively thinner.

Everything that is tied to a timeframe is not reliable.
Don't get me wrong, evergreen content should be combined with news if your website supports this type of content.

It's always safer to mitigate the risk while putting more effort into what's reliable.

This claim may not be valid for all large publishers.
But again, if they decide to sleep on evergreen content, they become news slaves.

Quick obsolescence and forgetting that affiliate/lead gen exist.

There are just so many opportunities with evergreen topics...
Research is extremely important and there's no superior way to do it.

I usually check GSC, Semrush and use some Python scripts to glue data together.

There's a manual part too, it's impossible to do it all with a machine.
AI websites have some good ideas since they vomit content.

You can take their shitty articles and do better.

They can give you the cheap inspiration that you can use to grow your project.

Sooner or later, they'll get hit anyway.
Long content reigns supreme for a lot of evergreen content.

Since the introduction of passage ranking, it's more and more convenient to have ultimate articles rather than a lot of them.

If you have doubts, you can just check the SERPs to see who's ranking.
You should scare entrants with super-deep content.

If your content is strong enough, most of them will think twice before entering.

If you reach that point, congratulations!

It means your website is probably an authority.
Nurture author bios, build social signals and publish as much as you can, without sacrificing quality.

It takes a lot of time to create a powerhouse but it's worth it!

Updates should be planned in advance, to avoid bad surprises later on.
Evergreen content doesn't need to be boring and manual.

You can and should write templates and outlines for everything.

As long as they make sense for the writers and they automate part of the job.
Evergreen content can be quite expensive in niches like travel, home applicants, finance, and health.

A single article can bring you thousand/mo so it makes sense to me.

That is if you rank and the quality is good (and links, links!).
Finding and hiring good writers is a nightmare.

If you are going after long-form content, you also need to distribute and repurpose your work.

Evergreen is the safest choice out there but it requires effort!
Speaking of which, content auditing is necessary for evergreen content.

You need to measure things like content decay and many others.

That is if you have a big website or something that goes beyond a small niche website.
If you don't want to read hundreds of threads, you can just buy this ebook.

I am going to release the 1st content update on the 2nd of April to add even more.

marcogiordano96.gumroad.com/l/analytics-fo…
Follow me for threads, tips, and case studies (coming soon) about SEO, content, and Python/data.

If you liked this thread, consider liking and retweeting it!🧵
If you own a publisher or a content/niche website, I can help you.

I offer:

- Content audits to solve traffic and $$ loss

- Content Planning and Research

- Training and mentorship for data skills

bookk.me/marcogiordano

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More from @GiordMarco96

Mar 27
The 10 Most Common Errors in Content Audits.

Many can fall for cheap #SEO advice and get nothing.

I've audited small and large content websites to develop profitable processes.

This thread is for you 🧵
1. Only using one data source to delete articles.

If your website is using multiple channels, you should have other data than GSC.

Wait if one article has 0 clicks but high engagement on Facebook?

Guru advice says to delete it, I would never do that.
2. Using Google Analytics as your bible.

The average GA user looks at sessions or users that are hard to convert into actions.

I'd rather check Search Console first and get the unique query count.

Thinking in terms of queries is an additional step that will save you later.
Read 14 tweets
Mar 25
The 10 Underrated Mistakes For Content Websites And Publishers 🧵
1. Not internalizing.

Yeah outsourcing is cool but some things you should have.

This includes internal tools, hiring people and learning new skills.

Outsourcing is a double-edged sword and can destroy your profitability.
2. Not embedding SEO into the company culture.

An organization that doesn't embrace SEO as part of what they do will have a hard time.

That's because SEO will be considered as homework and not as needed.
Read 14 tweets
Mar 24
Many ask me where to start with coding/data or #Python for #SEO.

I've already covered this topic but...

understanding some concepts is still hard for many.

Let's see why and how 🧵
Excel/Google Sheets are completely fine for smaller projects.

Pivot tables and basic data cleaning operations do the work.

They are the best solutions for quick work and for fast formatting.
The problem is that what you do there can't be replicated easily.

Documented code solves that problem.

If you document everything and list everything, it will be much more useful.

Programming languages also help you to scale processes.
Read 22 tweets
Mar 19
What's the actual impact of tools on #SEO work?

Many claim that *some* tools are mandatory to execute a strategy.

I think this is often misleading.

Let's see how to differentiate between planning and execution 🧵
Cause-effect and correlation are different concepts that are often interchanged.

Testimonials and case studies can be tweaked to show a certain outcome.

You don't get rich because you used a keyword research tool.

This is one of the most common tricks used by sales teams.
Strategy involves planning and abstracting the steps, having an overview.

Tactics are the steps you take, what you do to execute a strategy.

Tools can be useful at both stages BUT...

You should never let a tool decide for you.

Strategy is what you normally don't delegate.
Read 16 tweets
Mar 17
#SEO tools can't replace insights, strategy, and business acumen.

Analytics is the same, as tools are mere instruments.

Then what's the difference between a good analysis and a bad one?

This is how you generate 💸 and create tons of value 🧵
SEO and Analytics share too many things in common.

Both have professionals obsessed with tools.

And they require having a strong acumen and intuition about business.

It's unthinkable to do excellent SEO in an industry where you have no expertise.
Anyone can pay for a tool, but those won't give you superpowers.

Tools are necessary to achieve goals but they're not your objective.

They should help you in your daily activity and empower your output.

All the rest doesn't matter, YOU make the difference.
Read 4 tweets
Feb 28
How can you apply #Python for #SEO to get outstanding results?

I will show you some examples of what you can do without spending money.

This thread is all about Python and quick wins and insights 🧵
Disclaimer: I am not listing source codes here, I will make separate threads later.

The goal of this thread is to give you the footprint and the direction.

And remember, Analytics is different.

Scripting alone is not doing analysis and who tells you the opposite... is lying.

I recommend the following framework below:
Read 33 tweets

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