Google is dying. Companies are seeing an 800% increase in traffic...

@hosun_chung
Hosun Chung@hosun_chung
27 views Mar 05, 2025 ~3 min read
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Google is dying.

Companies are seeing an 800% increase in traffic from AI search tools...

Which means your next customer will come from ChatGPT — not Google.

Forget SEO. Here's why "LLM Engine Optimization" will blow up your business instead🧵
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LLMs (Large Language Models) are revolutionizing how we find information.

Unlike traditional search (like Google) that matches keywords in your query to keywords in websites...

LLMs understand context, intent, and nuance.
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The result?

LLMs can provide direct, comprehensive answers to even the most complex questions.

And the data is clear:

Between October 2023 and January 2024, ChatGPT's traffic surpassed Bing.

Perplexity AI grew to 10M monthly users in just two years.

And this is transforming business:
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Brands are already seeing an 800% increase in referral traffic from LLMs between Q3 and Q4 of 2024.

This isn't just a trend. It's a complete upheaval of how information flows online.

What does this mean for businesses and content creators?
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The death of traditional SEO as we know it.

For years, businesses have used SEO (Search Engine Optimization) to get their websites to appear at the top of Google results.

They'd do things like stuff their pages with specific keywords or earn links from other websites.

Now?
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These things are becoming increasingly irrelevant in an LLM-dominated world.

Welcome to LLM Engine Optimization (LEO):

Instead of optimizing for Google's algorithm, you'll now need to optimize for AI understanding.

Which requires a completely different approach...
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First, forget about cramming in keywords.

LLMs don't just match words - they understand ideas. They want content that explains topics thoroughly & answers specific questions.

Focus on creating helpful, in-depth content that a human would find valuable vs cramming in keywords.
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Second, embrace conversational formats.

Users are increasingly phrasing searches as questions rather than keyword strings – a 20% increase in query length since 2020.

Voice searches are even more conversational, with 70% being phrased in natural language.

This changes how you should structure your content entirely.
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Third, organize your content in ways AI can easily understand.

This means using clear headings, structuring information logically, and adding special tags to your website's code.

Websites that organize their information clearly are much more likely to feature in search results.
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Fourth, be a genuine expert, not just someone who sounds like one.

AI systems prefer content from trusted sources who demonstrate real expertise.

They look for content from established authorities, information backed by evidence, and accurate, trustworthy information.
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Fifth, think multimodal.

Future AI search won't just process text – it will understand images, audio, and video.

Creating diverse content maximizes your chances of being cited by AI systems.

The businesses that adapt quickly will thrive. But those that don't?
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They'll disappear.

By 2028, LLMs are projected to capture 15% of the search market.

The global LLM market will grow by 36% annually from 2024 to 2030.

This revolution is just starting.

So what should you do today?
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Looking at these trends, one thing becomes crystal clear:

In an AI-driven world, authenticity and authority aren't just nice-to-haves - they're survival mechanisms.

The founders who thrive will be those who've established themselves as genuine experts in their fields.

Why?
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As we saw above:

When LLMs decide what information to surface, they prioritize established voices who consistently demonstrate expertise.

This is where a strategic personal brand becomes invaluable...

It's no longer just about self-promotion:
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It's about building a digital reputation that both AI AND humans recognize as authoritative.

The most forward-thinking founders understand this shift isn't just about technology.

It's about trust — and a personal brand is how you generate trust at unprecedented scale.

So:
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