It doesn't matter whether the discussion starts on X, LinkedIn or in the comments under an SEO article. Sooner or later, someone asks exactly the same question.
Over the last few weeks, I've noticed something interesting.
It doesn't matter whether the discussion starts on X, LinkedIn or in the comments under an SEO article. Sooner or later, someone asks exactly the same question.
"How do I rank in AI?"
I get it. It's the obvious question. AI Overviews, AI Mode, ChatGPT, Gemini... everyone is trying to figure out what comes next.
But after reading dozens of those conversations, I started wondering if we're all spending too much time looking for the next ranking trick.
It reminds me of almost every major change Google has introduced over the last fifteen years.
A new feature appears and, almost immediately, the industry starts looking for a checklist.
Which schema should I use?
How long should the content be?
Does Google prefer this format over that one?
Should I add more FAQs?
Do I need more entities?
Most of those questions are perfectly reasonable. Technical SEO still matters, structured data still matters and nobody is saying you should ignore the fundamentals.
At the same time, it feels like we're skipping a much bigger question.
Why would an AI system trust your content in the first place?
That's the part I don't think we talk about enough.
I've spent enough years working in SEO to know that rankings have always been the score everyone watches. Clients ask about rankings. Companies report rankings. Entire businesses have been built around monitoring rankings.
There's absolutely nothing wrong with that.
Organic visibility is still one of the most valuable marketing channels on the web.
But AI changes the conversation a little.
Not because rankings disappear overnight. They won't.
Instead, there's another layer sitting on top of traditional search. Before, success was mostly about convincing Google that your page deserved to appear in the search results. Now there's another challenge. If an AI is trying to answer a user's question, why should your content become part of that answer instead of someone else's?
That's a completely different way of looking at SEO.
The funny thing is that the answer probably isn't new.
Whenever Google launches something major, there's always a rush to discover the "secret." The industry has done it with Panda, Penguin, mobile-first indexing, Core Web Vitals, Helpful Content and just about every core update in between.
Sometimes there really was something new to learn.
Other times, the conclusion was much less exciting.
Create something useful.
Make your website easy to understand.
Demonstrate expertise.
Build trust over time.
None of those ideas generate hundreds of comments on social media because they're not particularly exciting.
They're also the advice that keeps surviving every update.
One thing I've noticed recently is that some of the most interesting conversations aren't about rankings anymore. They're about citations, mentions and recognition. More people are asking whether AI tools are referencing their brand, whether their research is being quoted or whether their content is becoming part of the broader conversation.
Personally, I think that's a much healthier discussion.
Because becoming a trusted source is harder than ranking for a keyword.
A page can jump from position twelve to position three after a successful update. It happens all the time.
Building a reputation doesn't work like that.
It takes months. Sometimes years.
Readers need to trust you.
Other publishers need to reference your work.
People need to remember your name the next time they search for the same topic.
You can't fake that with a prompt or a plugin.
Maybe that's why I'm becoming less interested in asking, "How do I rank in AI?" and more interested in asking, "What would make my content worth referencing?"
They're similar questions, but they're not the same.
One focuses on visibility.
The other focuses on value.
And if there's one thing the last couple of years have taught us, it's that search keeps changing, but useful information doesn't.
The more I think about it, the more I believe we've spent years rewarding the wrong habits.
I'm not talking about Google.
I'm talking about ourselves.
For a long time, publishing more content almost became the default strategy. Need more traffic? Publish more articles. Need more keywords? Create more landing pages. Need more visibility? Expand the blog.
To be fair, that approach worked surprisingly well for a long time.
Search engines needed documents, and websites that covered topics in depth often ended up covering a huge number of search queries almost by accident.
But somewhere along the way, quantity started replacing quality as the main objective.
I've seen websites publish ten articles about the same topic simply because each one targeted a slightly different keyword variation.
Sometimes they ranked.
Sometimes they even generated traffic.
The question I keep asking myself now is whether that kind of strategy will still make sense five years from today.
I'm not so sure.
One thing AI does surprisingly well is recognizing when twenty different articles are essentially saying the same thing.
Change the introduction.
Move a few headings around.
Replace a couple of examples.
The information is still identical.
That doesn't mean those articles have no value, but it probably means the web doesn't need another version of them.
What the web still needs is people who actually know what they're talking about.
That sounds incredibly obvious, yet I think it's becoming more important than ever.
Look at the content people genuinely remember.
It's rarely the article that repeated what everyone else had already written.
It's usually the one that added something new.
Maybe it included original research.
Maybe the author had first-hand experience.
Maybe they simply explained a complicated topic in a way that finally made sense.
Whatever the reason, you remembered it.
That's the difference.
Not every article needs to reinvent SEO.
But every good article should try to contribute something.
Even a small observation.
A different perspective.
A practical example.
Something that tells the reader there was an actual person behind the keyboard.
That's becoming surprisingly rare.
Over the last year, AI has made producing content faster than ever.
Whether that's good or bad depends entirely on how it's being used.
I've read AI-assisted articles that were genuinely useful.
I've also read articles where, after the second paragraph, I already knew exactly how the remaining thousand words would look.
Same structure.
Same rhythm.
Same predictable conclusion.
Readers notice that.
Maybe they don't consciously think, "This was written by AI."
They simply stop reading.
That's probably a much bigger problem than most people realise.
SEO professionals spend a lot of time discussing algorithms, but real people are still the ones deciding whether a page was worth their time.
If someone leaves after thirty seconds because everything feels generic, it doesn't really matter how perfectly the headings were optimized.
Something else I've noticed recently is how often Reddit, forums and niche communities appear in conversations about AI search.
Some people see that as a problem.
Others see it as proof that authentic discussions are becoming more valuable.
Personally, I think there's probably some truth in both arguments.
Forums contain plenty of bad information.
They also contain something that's often missing from polished marketing content.
Real experience.
People describing what actually happened.
Not what they think Google wants to hear.
That's difficult to replicate.
You can't manufacture years of experience overnight.
You can't automate credibility.
You earn it one useful answer at a time.
Maybe that's why I keep coming back to the same idea.
Instead of asking how AI ranks content, maybe we should spend more time asking why people trust certain websites in the first place.
Because those answers existed long before AI arrived.
Clear writing.
Honest opinions.
Useful information.
Original work.
None of those concepts suddenly became important in 2026.
We've simply started paying more attention to them again.
And honestly, that might be one of the best things to happen to SEO.
For years, the conversation often revolved around finding shortcuts.
Today, it feels like we're slowly moving back toward building things that people genuinely want to read.
Will rankings still matter?
Of course.
Will technical SEO still matter?
Absolutely.
I'm not suggesting otherwise.
But if someone asked me today where I'd spend most of my time over the next few years, my answer probably wouldn't be "finding the next ranking trick."
I'd spend it becoming a better publisher.
I'd spend it creating resources people bookmark instead of pages they immediately forget.
I'd spend it trying to write something another expert would happily reference without being asked.
Because if that happens consistently, rankings usually have a funny way of taking care of themselves.
Maybe that's the biggest shift AI is bringing to search.
Not a new algorithm.
Not a new optimization technique.
Just a reminder that, after everything we've learned over the past two decades, the websites that survive tend to have one thing in common.
People trust them.
And if there's one metric that's worth chasing over the next few years, I'd probably start there.
