Some random #SEO
predictions for the next 5-10 years.
N.B. These are pure speculations based on my knowledge.
I highly recommend you study some of this stuff anyway.
Disclaimer for all the professors: this thread doesn't mean to say that everything will change.
The core skills are always the same, I am referring to potential changes of interest.
SPARQL. In plain English, SQL for RDF data.
It's useful to get data from Wikidata, IMDB, and other data sources.
What's interesting is that you are able to capture many semantic relationships.
This makes SPARQL extremely versatile for sophisticated programmatic projects.
I am still learning it so I never had the opportunity to test it but the potential is huge.
I recommend you read the official page to get what are these RDF data.
Shortly, it's all about Graphs.
As you may have heard of GTP-3, Midjourney, and Dall-E2, how you give orders to a machine can totally change the output.
The practice of crafting effective prompts can be referred to as prompt engineering.
And as my friends @Colin
and @Andrea D'Agostino
showed me, it's quite possible to completely change your output.
Honestly, I think that prompt engineering is a meme but it exists and works, so it shouldn't be underestimated.
Speaking of data... you know I love them.
Right now, the SEO world is lagging back and is defo not comparable to Finance and Economics.
Both of them make large use of modern technologies, but SEO is still struggling to integrate data.
Some people here bash modern solutions or complementary skills but pay thousand/mo for NLP tools.
Funny thing is that most of the new SEO tools can be copied with some decent Python skills.
But yeah, don't learn new things, be a dinosaur.
The role of data will become more crucial as people realize that strategy can't work with intuition alone.
All the recent Google updates are a pain in the neck if you can't analyze your traffic.
Being able of using data will be even more imperative as SEO catches up.
Knowledge Graphs already exist and I hope you already know it.
As already hinted by @Andrea Volpini
several times, they will get more traction for the future of AI.
And since websites are technically graphs, you can already guess what I am going to say next...
You should already think about the user journey and clustering your content.
I love Google updates because they give us more hints about what to do (even if they fail).
And websites with a solid network don't usually get smashed.
There are exceptions because updates tend to be wrong but I didn't notice significant mistakes when evaluating websites with a great content network.
The most advanced SEO Analysts may want to prepare themselves and study some Graph Theory, because why not?
Most people here on Twitter hate to admit that they don't genuinely work on multiple channels.
If your entire strategy is based on Google, that's fine.
Don't complain if the next update wrecks your website tho.
As a consequence, NLP will be more mainstream.
And I'd say, that's kinda obvious, it's one of the most popular fields right now.
Using NLP tools will probably become the norm and even mainstream solutions will have some features.
I don't think we can talk about maturity in NLP for the SEO industry right now.
There are people still convinced that LSI keywords exist, we're beyond salvation.
AI writing tools are going to increase in popularity and so are writers.
I support the view that AI helps people to save time for boring stuff.
Nonetheless, you will still need humans.
I can't imagine AI for B2B, because it just doesn't make the cut.
B2C is a different story and we already know that plenty of trash content websites are ranking.
Still, every single update is a warning to recall that something bad will happen.
Writers are already super expensive and some companies prefer to hire in SE Asia right now.
Who knows, maybe those writers will become expensive too.
Indian developers were way cheaper 5 years ago, look at them now...
So yeah, I wouldn't be surprised to see huge shifts in the labor market for writers.
This is a tough topic because there are too many variables to consider.
It's super hard to predict what will exactly happen, so I am leaving this thread here.
Some of these topics are already quite useful, so you may want to study them.
I know that some people may get salty because I said that Google updates are good.
From my perspective, they have given me more money and advantages than anything else.
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!
And if you insist, I offer short consultancies: