Over the last few weeks, I have been reading more about how websites are showing up inside ChatGPT, Claude, Gemini, and other AI tools.

A lot of people are calling it “LLM visibility” now.

At first, I assumed this would be completely different from SEO. New rules. New systems. New strategies.

But after going through multiple case studies, experiments, and discussions from people working in this area, the reality feels much simpler.

Most of the things working right now are still very human.

One pattern kept showing up repeatedly.

Content that already ranks well on Google tends to get mentioned more inside AI answers too.

Not every time, but enough to notice a clear connection.

Another thing I noticed is that generic content is struggling badly.

Pages that just repeat information already available everywhere are not standing out anymore. Especially content that feels like it was written only to fill keywords.

What seems to work better is content with actual experience behind it.

• Someone testing a tool.
• Someone documenting a process.
• Someone sharing results after trying something themselves.

Basically, content that feels lived-in.

Comparison pages also seem to be performing well.

Things like:

• Tool A vs Tool B
• Best tools for a specific use case
• Alternatives to popular products

It makes sense when you think about how people use AI tools now. Many questions are decision-based.

People are asking:

• What should I use?
• Which option is better?
• What are the alternatives?

AI systems naturally pull from pages already answering those questions clearly.

Another interesting thing is that “authority” still matters, but maybe not in the old way.

It is less about sounding corporate and more about showing signs that a real person actually knows the topic.

• Examples.
• Original observations.
• Specific experiences.
• Unique data.

Those things seem to carry more weight now.

One thing that surprised me is how many people are overcomplicating this space already.

Everyone is searching for secret tricks.

• Special formatting.
• Hidden technical optimizations.
• AI-specific hacks.

But most discussions I came across pointed toward the same simple idea:

Useful content still wins.

• Not perfect content.
• Not robotic content.
• Not mass-produced content.

Just content that genuinely helps someone understand or decide something faster.

Honestly, that feels like a good direction.

Because it rewards people who actually think, test, observe, and write from experience instead of just repeating what is already everywhere.