u/Real-Assist1833

Started thinking about this differently recently.

We optimize websites for Google crawlers. Schema markup. Structured data. Sitemaps.

But are we thinking about how AI systems read our content?

Clear entity definitions. Factual claim structure. Machine-readable relationships between concepts.

Feels like there's a whole layer of technical work that nobody has clean standards for yet.

Any devs here thinking about this? Would love to know what approaches people are experimenting with.

Tried this on a whim. Pasted my messy task list.

Asked: "What should I actually focus on today if I only have 3 hours?"

It cut through everything.

No ego. No sunk cost bias. No "I should finish this because I started it."

Just logic.

The answer was obvious in hindsight. I had been avoiding it.

There's something both useful and slightly unsettling about having a tool that thinks without your emotional baggage.

Old internet: search → thousands of options → beautiful chaos of discovery

New internet: ask AI → 4 recommendations → done

I found so many things I love by accidentally clicking wrong results or going down research rabbit holes.

That serendipity is disappearing.

AI is efficient. I genuinely love using it.

But something about the randomness of old-school web browsing felt human in a way that's hard to explain.

Anyone else nostalgic for accidentally finding random websites that changed your perspective?

Started this experiment when I noticed AI search affecting our inbound.

Tracked manually for 2 months (painful).
Switched to LLMClicks.ai for the last 4 months (much better).

What I found:

AI visibility fluctuates way more than Google rankings
Different platforms cite us differently for similar queries
The content that gets us cited is NOT our most SEO-optimized content
Reddit and community mentions directly correlate with AI citations

The brands winning at AI visibility are doing something fundamentally different than traditional SEO.

Happy to share more specifics if useful to anyone here.

And you'd have no idea.

Most small business owners check their Google Analytics.

Nobody's checking if ChatGPT recommends them when someone asks "best [your service] near [city]."

I started checking after noticing a dip in discovery traffic.

Found 3 competitors being consistently recommended in my category. My business: zero mentions.

Not because I was doing anything wrong. Just because I hadn't thought about this at all.

Has anyone figured out how to fix this for local/small businesses specifically?

Watched this happen in real time in a meeting this week.

Colleague asked ChatGPT about a topic.

Got an answer.

Someone else pulled up the original article ChatGPT was clearly summarizing from.

The article said something slightly different, more nuanced.

The room still went with the AI summary.

Source: right there. Still ignored.

The trust has transferred from "where did this come from" to "what did AI say about it."

That's a massive shift.

We have decent Google rankings. Good reviews. Strong backlinks.

But I ran 15 different AI queries in our product category.

Mentioned zero times. Competitors appeared in almost every answer.

Spent the next week trying to figure out why.

Conclusion: Google signals and AI citation signals are not the same thing. Not even close.

Anyone else done this exercise? What did you find?

I used to love going deep on topics.

Multiple tabs. Forums. Contradictory opinions. The messy truth of research.

Now I ask AI, get a clean summary, feel satisfied, and move on.

But "clean summary" often means "averaged out, nuance removed."

I'm learning faster in some ways. Understanding less deeply in others.

Trade-off I didn't realize I was making.

Is this just me or do others feel this happening?

AI gives wrong information sometimes. We all know this.

What I didn't expect: it gives wrong information with such complete confidence that I second-guess MY knowledge before I second-guess IT.

That's a weird psychological inversion.

Google results felt fallible — you saw the sources. You could question them.

AI responses feel authoritative — even when they shouldn't.

I now have a personal rule: if it matters, verify it manually. No exceptions.

Anyone else developed specific habits around this?

Random thought that won't leave my head.

My nephew (8 years old) already talks to AI like it's a person. Doesn't type keywords. Just asks questions conversationally.

He's growing up in a world where:
— You ask, not search
— You get answers, not results
— You trust, not verify (usually)

The cognitive skill of "knowing how to search" refining queries, evaluating sources, comparing results might just... disappear.

Is that a problem or just evolution?

Been going back and forth on this.

Argument 1: Write for AI clarity
Simple structure. Direct answers. Machine-readable format.

Argument 2: Write for human connection
Stories. Opinions. Real experience. Authentic voice.

Here's what I actually believe:
They're becoming the same thing.

AI is trained on content humans found valuable. So content humans love is content AI tends to cite.

The answer might just be: write genuinely well.

What's your take?

Posted a comment about SaaS pricing models. Totally forgot about it.

This week someone showed me a Perplexity answer that cited that exact comment.

Random Reddit comment → AI citation → reached people I never would have reached.

Feels like the content ecosystem is fundamentally reshaping itself.

Real experiences and community discussions are now competing directly with polished brand content.

Wild time to be creating content online.

Two completely different games happening simultaneously.

Google ranking = great for humans browsing

AI citations = great for users asking questions

A site can be #1 on Google and never get mentioned in a single AI answer.

The signals AI systems use to decide who to cite are different from what Google rewards.

Structured data, entity recognition, clear factual claims — all of this matters differently now.

Is your team thinking about both or just one?

Expected similar results. Got completely different brands recommended.

ChatGPT → pulled from Reddit discussions mostly
Gemini → leaned toward larger established brands
Perplexity → actually cited sources, more diverse recommendations

3 different AI tools. Same user question. Totally different outcomes.

This is why people keep talking about "AI visibility" now — it's not one algorithm. It's multiple systems making different judgment calls.

Old search: user sees 10 blue links, clicks around, discovers options.

New AI search: user asks → gets 3-4 recommendations → done.

If your brand isn't in those 3-4?

You don't exist in that user's journey.

No impression. No click. No chance.

This keeps me up at night honestly. Are other founders thinking about this?

Not trying to be dramatic but this week really hit different.

Client asked me why their #1 ranking page gets zero mentions in ChatGPT answers.

I didn't have a clean answer.

The rules we learned backlinks, authority, on-page optimization they still matter.

But something different is happening at the top of the funnel now.

Users are asking questions and trusting 4 recommendations instead of choosing from 40 results.

That's a completely different game.

Honestly didn't plan this. It happened gradually.

First AI replaced quick lookups.

Then comparisons.

Then tool research.

Then strategy questions.

Now I only open Google for:

— specific news articles

— local things

— images

The weird part? I don't miss it.

Anyone else in this position or am I just getting lazy with my research habits?

A few years from now, people will look back and realize:

This is when humans stopped searching and started asking.

That switch sounds small.

But it changes:

• How businesses get found
• How decisions get made
• How trust gets built
• What "being online" even means

We're used to big tech shifts being obvious.

This one is sneaking up quietly in the middle of every daily task.

Google showed you 10 results and you knew there were millions more.

AI gives you 4 recommendations and you have no idea how many alternatives were filtered out.

That's a very different relationship with information than we've ever had before.

Does that bother anyone else or just me?

Think about how discovery used to work:

Google result → visit homepage → form opinion about brand

Now it's:

Ask AI → AI describes the brand → maybe visit site, maybe not

The first impression is happening before anyone even visits your website.

That's a genuinely new challenge that didn't exist 3 years ago.