LLM vs Traditional SEO: Why 58% of Google Searches End Without Clicks (And What This Means for Your Strategy)

Here’s a stat that should make you uncomfortable:

58% of Google searches now end without a single click to any website.

Let me put that in perspective for you. More than half the people searching on Google are getting their answers directly from AI overviews, featured snippets, and LLM-powered responses. They’re not visiting your carefully optimized pages. They’re not reading your 2,000-word blog posts. They’re getting what they need and moving on.

And if you think this is just another “algorithm update” you can wait out…

You’re wrong.

This isn’t Google tweaking their ranking factors again. This is the entire search landscape getting flipped on its head by Large Language Models like ChatGPT, Perplexity, and Google’s own AI systems.

Here’s what’s really happening:

People aren’t just “googling” anymore. They’re asking ChatGPT questions. They’re getting instant answers from Perplexity. They’re using AI tools that bypass traditional search results entirely.

Meanwhile, most businesses are still playing by the old SEO playbook:

• Stuffing exact keyword matches into their content
• Chasing backlinks from irrelevant sites
• Writing 3,000-word articles that nobody reads
• Obsessing over keyword density and H-tag optimization

And it’s not working anymore.

The rules changed. The game changed. But here’s the thing – it’s not that SEO is dead. It’s that we need to understand how to optimize for BOTH traditional search engines AND the AI models that are increasingly becoming the gatekeepers of information.

Because while 58% of searches end without clicks, that still leaves 42% that do click through. Plus, those AI models? They’re getting their information from somewhere. And if your content isn’t structured in a way that LLMs can easily understand, extract, and cite, you’re missing out on being the source they reference.

The businesses that figure this out first will dominate.

The ones that don’t? They’ll watch their organic traffic slowly bleed away as AI tools become the primary way people find information.

In this article, I’m going to break down exactly what’s changed, what still works, and most importantly – how to create a strategy that wins in both worlds. Because the future isn’t about choosing between traditional SEO and LLM optimization.

It’s about mastering both.

Note: If you want to show up in both Google results and AI answers — while your competitors are still optimizing for a version of search that’s disappearing — apply to work with me: brandonleuangpaseuth.com/apply

What Is Traditional SEO? (The Old Playbook)

For the past 20+ years, SEO has been pretty straightforward. You followed a proven formula, and if you executed it well, you’d climb the rankings. I’ve been optimizing for search engines for nearly a decade with all sorts of growth hacking SEO strategies…

Here’s how the game worked:

Keyword-Focused Optimization

Everything started with keyword research. You’d fire up tools like SEMrush or Ahrefs, find keywords with decent search volume and manageable competition, then build your entire content strategy around those exact phrases.

Your homepage targeted your main keyword. Your service pages targeted variations. Your blog posts targeted long-tail versions. Simple.

You’d optimize your title tags, meta descriptions, H1s, and sprinkle keywords throughout your content at a specific density (usually 1-3%). The more you could naturally work in your target keyword, the better your chances of ranking.

Backlink Building Strategies

Backlinks were (and still are) Google’s primary way of determining authority. The logic was simple: if other websites linked to you, you must be worth linking to.

So businesses spent massive amounts of time and money on:

• Guest posting on industry blogs
• Directory submissions
• Resource page link building
• Broken link building
• HARO (Help a Reporter Out) outreach

The goal was to accumulate as many high-quality backlinks as possible, preferably with keyword-rich anchor text pointing to your target pages.

Technical SEO Fundamentals

You had to make sure Google could crawl and index your site properly:

• Fast loading speeds
• Mobile-friendly design
• Clean URL structures
• Proper internal linking
• XML sitemaps
• Schema markup

Get the technical foundation right, and you’d have a solid base to build on.

Content Length and Structure Requirements

Long-form content was king. The conventional wisdom was “longer = better.” Many SEO experts preached that you needed at least 2,000+ words to compete for competitive keywords.

Your content had to be structured for scannability:

• H2 and H3 tags with keywords
• Bullet points and numbered lists
• Short paragraphs
• Images with alt text
• Internal links to related pages

And you know what? This approach worked.

For years, businesses that followed this playbook saw consistent results. Rankings would gradually improve. Organic traffic would grow. Revenue would follow.

But here’s the problem:

This entire strategy was built around one core assumption – that people would click through from Google to your website to get their answers.

And that assumption just got shattered.

Because now, instead of clicking through to read your 2,500-word guide on “Best Email Marketing Tools 2025,” people are asking ChatGPT: “What email marketing tool should I use for my small business?”

And they’re getting a direct answer. No clicks required.

The old playbook isn’t wrong. It’s just incomplete.

The fundamentals still matter. Google still values quality content, authoritative backlinks, and technical excellence. But now you need to optimize for a world where your content might be consumed, summarized, and referenced by AI without anyone ever visiting your site.

That’s where LLM optimization comes in…

How Large Language Models (LLMs) Are Changing Search

Here’s what most people don’t understand about LLMs:

They’re not just “better search engines.” They’re fundamentally changing how people discover and consume information.

Let me show you exactly what’s happening.

How LLMs Process and Understand Content

Traditional search engines like Google work by crawling websites, indexing content, and matching keywords to user queries. Then they show you a list of blue links ranked by relevance and authority.

LLMs work completely differently.

They’ve been trained on massive datasets that include most of the publicly available internet. When you ask ChatGPT or Perplexity a question, they’re not searching the web in real-time (though newer versions do browse for current info). They’re generating responses based on patterns they learned during training.

Many modern AI systems use something called Retrieval Augmented Generation (RAG). Instead of relying solely on their training data, these systems can search the web in real-time, retrieve current information, and then generate responses based on that fresh data. This means your content can influence AI responses even if it wasn’t part of the original training data.

Here’s the key difference:

Instead of saying “here are 10 websites that might have your answer,” LLMs say “here IS your answer” – often synthesized from multiple sources and presented as a complete, coherent response.

The Shift from Ranking to Being Cited By LLMs & Google’s AI Overviews

In traditional SEO, success was measured by where you ranked in search results. Position 1 got the most clicks, position 2 got fewer, and anything below the fold got scraps.

With LLMs, there are no rankings.

There’s just the answer. And if your content was good enough to be referenced in that answer, you might get a citation. Maybe.

I searched “best compression shirts” in Google’s AI mode and here’s what happened:

• The AI overview pulled information from multiple sources
• It cited Gym Shark, Under Armour, and a few other brands
• None of the traditional top 10 organic results appeared in the AI response
• Users got their answer without clicking a single link

That’s the new reality.

Your content doesn’t need to rank #1 anymore. It needs to be good enough that an AI model trusts it enough to include it in their response.

But here’s something most people don’t know: LLMs don’t just randomly discover content. There are strategic ways to increase your chances of being included in their training data and responses – this is called LLM seeding. It involves deliberately placing your content and brand mentions in sources that LLMs actively crawl and reference.

Why AI Tools Bypass Traditional Search Results

Think about the last time you asked ChatGPT something. Did you then go Google the same question to double-check?

Probably not.

Here’s why LLMs are winning:

1. Instant gratification: No scrolling through multiple websites to piece together an answer.

2. Conversational answers & interface: You can ask follow-up questions and get clarification.

3. Synthesized information: Instead of getting 10 different opinions, you get one well-structured response.

4. No ads or fluff: Just the information you asked for.

Users are getting addicted to this experience. And it’s changing their search behavior permanently.

The Core Differences: LLM vs Traditional SEO

Alright, let’s get specific.

I’m going to break down exactly how LLM vs traditional SEO differs across the four areas that matter most. Pay attention here because understanding these differences is what separates businesses that thrive in 2025 from those that get left behind.

Focus Shift: Keywords vs Context and Intent

Traditional SEO: You lived and died by keyword research. Fire up Ahrefs, find “email marketing tools” with 12,000 monthly searches and manageable keyword difficulty, then build your entire content strategy around ranking for that exact phrase.

Your content looked like this:

• “Email marketing tools are essential for businesses…”
• “The best email marketing tools in 2025 include…”
• “These email marketing tools help you…”

Keyword density mattered. You’d sprinkle your target phrase throughout the content at exactly the right percentage to please Google’s algorithms.

Large Language Model Optimization: Keywords still matter, but context and intent matter more. LLMs don’t just match words – they understand what people actually want.

Instead of optimizing for “email marketing tools,” you optimize for the intent behind that search: “Help me choose the right email platform for my business needs.”

Your content now sounds like:

• “If you’re starting an online business, you’ll need a way to stay in touch with your customers…”
• “For small teams, I’d recommend starting with something simple like Mailchimp…”
• “Content creators usually prefer ConvertKit because…”

The difference? LLMs reward natural, conversational, natural language that directly addresses user needs. Not keyword-stuffed articles that read like they were written by robots.

Success Metrics: Clicks vs Citations

Traditional SEO: Success was simple to measure:

• Rankings (Are you on page 1?)
• Click-through rates (Are people clicking your search engine results?)
• Organic traffic (How many visitors are you getting?)
• Conversions (How many visitors become customers?)

You could track everything in Google Analytics and Search Console. Position 1 got the most clicks, position 2 got fewer, and so on.

LLM Optimization: The metrics completely change:

• Brand mentions (How often do AI models reference your business?)
• Citation accuracy (Are LLMs getting your information right?)
• AI referrals (How much traffic comes from AI-powered searches?)
• Authority recognition (Do LLMs see you as a trusted source?)

Here’s the wild part: You might never rank #1 in traditional search but still dominate AI-powered results. Or you could be ranking #1 but never get mentioned by LLMs.

I’ve seen businesses get more qualified leads from being cited in AI responses than they ever got from traditional SEO rankings.

Content Structure: Scannable vs Conversational

Traditional SEO: Your content had to be structured for both humans and crawlers:

• H1, H2, H3 tags with keywords
• Short paragraphs (3-4 sentences max)
• Bullet points and numbered lists
• Bold keywords and internal links
• Schema markup for featured snippets

The goal was scannability. People needed to quickly find what they were looking for, and Google’s bots needed to understand your content structure.

LLM Optimization: Structure still matters, but the emphasis shifts to conversational language, comprehensive content that reads like it was written by an expert talking to human readers or a friend.

Instead of:

“Top 5 Email Marketing Tools:

1. Mailchimp – Best for beginners
2. ConvertKit – Best for creators
3. ActiveCampaign – Best for automation”

You write:

“If you’re just starting out with email marketing, I’d recommend beginning with Mailchimp. It’s incredibly user-friendly and has a generous free plan that lets you get comfortable with the basics. Once you’re ready for more advanced features like behavioral triggers and detailed segmentation, that’s when you might want to consider something like ActiveCampaign…”

The key difference: LLMs prefer content that flows naturally and provides complete context, not just bulleted lists of features.

Authority Signals: Backlinks vs Topical Expertise

Traditional SEO: Authority was largely about backlinks:

• How many sites link to you?
• What’s the domain authority of those sites?
• What anchor text are they using?
• Are the links from relevant, trustworthy sources?

You’d spend months doing outreach, guest posting, and building relationships to earn high-quality backlinks. More authoritative links = higher rankings.

LLM Optimization: Backlinks still matter, but topical expertise and comprehensive coverage matter more.

LLMs look for:

• Comprehensive topic coverage (Do you understand the subject deeply?)
• Brand recognition (Are you known as an expert in your field?)
• E-E-A-T signals (Experience, Expertise, Authority, Trustworthiness)
• Consistent, accurate information across all your content

Here’s what this means practically:

Instead of chasing 100 backlinks from random sites, you focus on becoming THE definitive source for your topic. You create interconnected content that covers every angle, demonstrates deep expertise, and builds genuine authority in your space.

The bottom line: Traditional SEO was about gaming the algorithm. LLM optimization is about genuinely being the best answer.

And here’s the thing – you need both. Because while LLMs are growing fast, traditional search isn’t going anywhere. The businesses that figure out how to excel at both are going to dominate the next decade.

Let me show you what’s still working and what you need to change…

What Still Works…

Before you panic and throw out everything you’ve been doing for the past few years, let me be clear:

Traditional SEO isn’t dead.

A lot of the fundamentals that worked in 2020 still work in 2025. The difference is they’re no longer enough on their own. You need to layer LLM optimization on top of solid traditional SEO practices.

Here’s what’s still driving results:

Internal Linking Strategies

This one hasn’t changed at all.

Google still uses internal links to understand your site structure, distribute page authority, and determine which pages are most important. LLMs also follow these signals when they’re crawling and analyzing your content.

What’s working:

• Linking from high-authority pages to pages you want to rank
• Using descriptive anchor text (not just “click here”)
• Creating topic clusters where related content links to each other
• Building clear hierarchies from homepage → category pages → individual posts

The LLM angle: When AI models analyze your site, they use internal links to understand relationships between topics. Sites with strong internal linking get better representation in AI responses.

Quality Content That Demonstrates Expertise

High-quality, authoritative content is more important than ever.

But here’s the catch – what counts as “quality” has evolved.

Traditional quality markers that still matter:

• Original research and unique insights
• Comprehensive coverage of topics
• Accurate, up-to-date information
• Clear, well-written prose
• Proper grammar and spelling

What’s changed: You can’t just be comprehensive anymore. You need to be conversational, helpful, and demonstrate genuine expertise.

Example of what still works:

Instead of: “Email marketing has a 4,400% ROI according to the DMA.”

Write: “Here’s something that might surprise you: for every dollar you spend on email marketing, you typically see $44 in return. That’s according to the Direct Marketing Association, and while results vary, this ROI potential is why email remains a cornerstone of digital marketing.”

The difference: The second version shows expertise AND provides context that both humans and LLMs find valuable.

Creating Content Fresh Updates and Maintenance

Google has always rewarded fresh content. LLMs take this even further.

AI models are constantly being retrained on newer data. If your content is outdated, you’re not just losing traditional search rankings – you’re also losing AI citations.

What’s working:

• Regular content audits (quarterly minimum)
• Updating statistics and examples
• Adding new sections to existing articles
• Refreshing outdated screenshots and references
• Adding “Last updated” dates

Technical SEO Foundations

The technical stuff is still crucial.

Fast loading speeds, mobile optimization, clean URL structures – all of this still matters for traditional search AND it affects how well LLMs can crawl and understand your site.

Non-negotiables:

• Page speed under 3 seconds
• Mobile-first design
• SSL certificates
• Clean, descriptive URLs
• Proper XML sitemaps
• Schema markup (especially FAQ and How-To schemas)

The LLM connection: Sites that are technically sound are easier for AI models to crawl and extract information from. Poor technical SEO can actually prevent LLMs from citing your content.

Local SEO and Google Business Profile Optimization

This is actually MORE important in the LLM era.

Why? Because local searches often have immediate intent, and both traditional search and AI models prioritize local, relevant results.

What’s still driving results:

• Complete, accurate Google Business Profile information
• Consistent NAP or Name, Address, Phone across all platforms
• Regular posting and updates
• Genuine customer reviews
• Local keyword optimization
• Community involvement and local backlinks
• Google Business Profile optimization strategies

The twist: Local businesses that optimize for both traditional SEO AND AI citations are dominating their markets. When someone asks ChatGPT “best pizza place near me,” the businesses with strong local SEO foundations are getting mentioned.

E-E-A-T Signals (Experience, Expertise, Authority, Trustworthiness)

This has become even more critical.

Google introduced E-E-A-T to combat low-quality content. LLMs have taken this concept and amplified it. AI models are incredibly good at detecting genuine expertise vs. surface-level content.

How to build E-E-A-T that works for both:

• Author bios that demonstrate real credentials
• Case studies and real examples from your work
• References to credible sources
• Consistent brand messaging across platforms
• Customer testimonials and reviews
• Industry recognition and mentions

The Foundation Still Matters For AI SEO

Here’s what you need to understand:

Everything I just listed isn’t optional anymore. It’s the baseline. The table stakes. You need these fundamentals working BEFORE you can successfully optimize for LLMs.

But here’s the opportunity: Most of your competitors are still stuck in 2020. They’re still optimizing solely for traditional search. If you can master both traditional SEO AND LLM optimization, you’ll have a massive competitive advantage.

The businesses that are winning right now aren’t choosing between old and new. They’re building on solid traditional foundations and layering on optimization strategies for the LLM ranking factors.

Speaking of which, let me show you what’s NOT working anymore…

What No Longer Works (Or Has Diminished Impact)

Now for the hard truth.

Some tactics that worked for years are now actively hurting your chances of success. Others just aren’t moving the needle like they used to.

Here’s what you need to stop doing:

Keyword Stuffing and Exact Match Overkill

This was already on life support. LLMs just pulled the plug.

Remember when you could rank by jamming your target keyword into every paragraph? When “roofing contractors in Chicago” appeared 47 times in a 1,000-word article?

That’s dead.

LLMs focus on semantic understanding, not keyword repetition. They can tell when content was written for search engines rather than humans. And they skip right over it.

What this looks like:

❌ Old approach: “Welcome to Chicago Roofing Contractors, your top roofing contractors in Chicago. Our roofing contractors specialize in all Chicago roofing needs. Need Chicago roofing contractors? Call our experienced Chicago roofing contractors today!”

✅ New approach: “Looking for reliable roofing services in Chicago? We’ve been helping homeowners protect their biggest investment for over 15 years. Whether you need emergency repairs after a storm or a complete roof replacement, our team has the experience to get it done right.”

The difference: The second version sounds human and provides actual value. LLMs reward this. Keyword stuffing gets you ignored. The keyword strategies have changed.

Thin Content or Low-Value Pages

500-word blog posts written just to “target a keyword” are worthless now.

You know what I’m talking about. Those surface-level articles that barely scratch the topic. “10 Tips for Email Marketing” where each tip is one sentence with no real insight.

Why this doesn’t work anymore:

1. Traditional SEO: Google’s helpful content updates specifically target thin content
2. LLM optimization: AI models need comprehensive information to cite you as authoritative

What counts as thin content:

• Articles under 800 words that don’t fully answer the question
• Listicles with no real depth or unique insights
• Content that could apply to any business in any industry
• Pages created solely to target search volume, not user intent

The fix: If you can’t add genuine value and unique insights, don’t publish it. One comprehensive, authoritative piece beats ten shallow ones every time.

Outdated Link Building Tactics

Mass guest posting and link exchanges are becoming counterproductive.

The old playbook was simple: get as many backlinks as possible from sites with high domain authority. Didn’t matter if they were relevant. Didn’t matter if the content was good. Just get the link.

What’s not working:

❌ Guest posting at scale on sites that accept anyone with $200

❌ Link exchanges (“I’ll link to you if you link to me”)

❌ Directory submissions to irrelevant, low-quality directories

❌ PBN links from obvious private blog networks

❌ Exact match anchor text campaigns

Why LLMs changed this: AI models look for natural, contextual mentions. They can detect artificial link patterns and devalue content that appears to be gaming the system.

What still works: Earning genuine editorial mentions from relevant, authoritative sources. The kind of links you’d get if SEO didn’t exist. Read more on using AI for link building.

Prioritizing Rankings Over Readability

If your content was written to impress an algorithm rather than help a person, LLMs will pass it by.

This is the big one. For years, we optimized for Google’s crawler first and humans second. We’d sacrifice readability for keyword density. We’d stuff in LSI keywords whether they made sense or not.

LLMs flipped this completely.

They prioritize content that reads naturally and provides genuine value. If a human wouldn’t want to read it, an AI model won’t want to cite it.

Signs your content is too algorithm-focused:

• Awkward keyword placement that interrupts the flow
• Unnatural sentence structures to hit keyword targets
• Information that’s clearly padded to reach a word count
• Headlines that are optimized for search but don’t accurately reflect the content

The new rule: Write for humans first. Optimize for search engines second. Structure for LLMs third.

Relying Solely on Traditional Metrics

If you’re only tracking rankings and organic traffic, you’re flying blind.

Traditional SEO metrics are still important, but they don’t tell the whole story anymore. You could be ranking #1 for your target keyword but getting zero citations from AI models.

Outdated success indicators:

• Only caring about keyword rankings
• Focusing exclusively on organic traffic numbers
• Ignoring brand mention tracking
• Not monitoring AI-powered search results

What you should be tracking instead:

• How often your brand gets mentioned in AI responses
• Traffic from AI-powered search platforms
• Brand search volume and recognition
• Citation accuracy across LLM platforms

The “More is Better” Content Strategy

Publishing 5 mediocre articles per week beats publishing 1 excellent article per month.

That was the old thinking. It’s wrong now.

Both Google and LLMs have gotten much better at detecting quality over quantity. Publishing mediocre content actually hurts your authority signals.

What’s changed:

• One comprehensive, authoritative piece can outperform dozens of shallow articles
• LLMs favor sources that consistently produce high-quality content
• Google’s helpful content updates specifically target sites that prioritize quantity over quality

The new approach: Publish less, but make every piece exceptional. Be known for quality, not volume.

Ignoring User Intent

This was always important, but LLMs make it critical.

If you’re still optimizing for keywords instead of the intent behind those keywords, you’re wasting your time.

Example: Someone searches “email marketing tools.”

Old thinking: They want a list of email marketing tools. New thinking: They want help choosing the right email marketing solution for their specific situation.

LLMs understand this distinction. They favor content that addresses the deeper intent, not just the surface-level keyword. This content wins AI generated answers.

Here’s the Bottom Line

Everything I just listed worked because search engines weren’t sophisticated enough to detect the difference between gaming the system and providing genuine value.

LLMs changed that.

They’re incredibly good at detecting authentic expertise vs. SEO manipulation. The tactics that worked by exploiting algorithmic weaknesses now actively hurt your chances of being cited by AI models.

The opportunity: Most businesses are still using these outdated tactics. While they’re spinning their wheels with keyword stuffing and thin content, you can dominate by focusing on genuine value and authority.

But you need a new strategy.

The New SEO Strategy: Optimizing for Both

Here’s the reality:

You can’t choose between traditional SEO and LLM SEO optimization. You need both working together if you want to dominate in 2025 and beyond.

The businesses winning right now aren’t picking sides. They’re mastering the overlap.

Let me show you exactly how to build a strategy that wins in both worlds.

Write for Humans, Structure for AI

This is the foundation of everything.

Your content needs to sound natural and conversational (for LLM SEO) while still being properly structured and optimized (for traditional search engines).

Here’s how you do it:

Traditional approach:

“Email marketing tools are essential software solutions that enable businesses to create, send, and track email campaigns to their target audience. These email marketing platforms provide features like automation, segmentation, and analytics.”

LLM-optimized approach:

“If you’re running an online business, you need a way to stay in touch with your customers. Email marketing tools make this simple – they let you send the right message to the right people at the right time, without manually typing out hundreds of individual emails.”

The difference: The second version sounds human while still covering the same key information. LLM SEO reward this natural approach.

But you still need structure:

• Clear H1, H2, H3 headings
• Logical content flow
• Internal links to related pages
• Schema markup for key information

The trick is making the structure invisible to readers while keeping it obvious to search engines and AI models.

Build Authority Through Comprehensive Coverage

This is where most people get it wrong.

They think “comprehensive” means “long.” It doesn’t. It means “complete.”

Comprehensive coverage means:

Topic clusters, not random posts. Instead of publishing scattered articles, create interconnected content that covers your main topic from every angle.

Example: Email Marketing Topic Cluster

• Main pillar: “Complete Guide to Email Marketing for Small Businesses”
• Supporting content:
  • “How to Choose the Right Email Marketing Platform”
  • “Email Automation Workflows That Actually Convert”
  • “Email Design Best Practices for Mobile”
  • “How to Build an Email List from Scratch”
  • “Email Marketing Metrics That Matter”

Each piece links to the others. Together, they demonstrate that you’re the definitive source for email marketing advice.

Original research and unique insights. Don’t just regurgitate what everyone else is saying. Add your own data, examples, and perspectives.

Instead of: “Email marketing has a high ROI.” Write: “Based on analyzing email campaigns for 50+ small businesses over the past two years, we’ve found that businesses consistently see better results when they send 2-3 emails per week rather than daily emails.”

Content that answers complete questions. Don’t just target keywords. Address the full intent behind those keywords.

Someone searching “email marketing tools” doesn’t just want a list. They want help choosing the right tool for their specific situation.

Your content should address:

• What to look for in an email marketing platform
• How different tools compare for different business types
• Pricing considerations and hidden costs
• Implementation tips and common mistakes
• When to switch tools and how to migrate

Monitor Your Brand in AI Responses

This is the new SEO metric that matters most.

You need to know when and how your brand appears in AI-generated responses.

What to track:

Brand mentions in ChatGPT, Perplexity, and Google AI Overviews. Search for topics in your industry and see if your brand gets mentioned as a source or recommendation. I recommend you use Surfer SEO’s brand tracker tool. Learn more here.

Citation accuracy. When AI models reference your information, are they getting it right? Inaccurate citations can hurt your credibility.

Context of mentions. Are you being mentioned as an expert, a vendor, or just one option among many? The context matters for authority building.

Share of voice in AI responses. For your main topics, what percentage of AI responses mention your brand vs. competitors?

Don’t Choose Sides – Master Both

Look, I’m not going to sugarcoat this.

The SEO game changed. Permanently.

58% of Google searches now end without a click. AI models are answering user queries or questions that used to drive traffic to your website. And if you’re still optimizing like it’s 2020, you’re fighting yesterday’s war.

But here’s what I want you to understand:

This isn’t about traditional SEO dying. It’s about traditional SEO evolving. The fundamentals still matter – quality content, technical optimization, authority building, user experience. But now you need to layer LLM optimization on top to match user behavior.

The businesses that get this right will have an unfair advantage.

While your competitors are stuck chasing keywords and building random backlinks, you’ll be creating content that dominates both traditional search results AND AI-powered responses. You’ll be the brand that LLMs cite as the expert. You’ll be capturing traffic from sources your competition doesn’t even know exist yet.

The ones that don’t adapt? They’ll slowly watch their organic traffic bleed away as AI becomes the primary way people find information.

Here’s your choice:

You can keep doing what you’ve always done and hope things go back to normal. (They won’t.)

Or you can master both worlds and position yourself to dominate the next decade of search.

The window of opportunity is closing fast. Early adopters are already building massive competitive advantages while the majority of businesses are still figuring out what LLMs even are.

Ready to Dominate Both Traditional SEO and LLM Optimization?

Look, implementing everything I’ve covered isn’t easy. It requires a complete shift in how you think about content, authority, and search optimization.

Most businesses try to figure this out on their own. They waste months testing tactics that don’t work, creating content that gets ignored by both search engines and AI models, and watching competitors pull ahead.

That’s why I work with ambitious businesses who want to get this right the first time.

I’ve spent the last two years figuring out exactly how to optimize for both traditional search and LLM citations. I’ve tested what works, what doesn’t, and what’s a complete waste of time. My approach combines solid SEO fundamentals with cutting-edge LLM optimization strategies.

Here’s what you get when you work with me:

✅ Complete SEO audit – Traditional and LLM SEO analysis of your current position

✅ Custom strategy – Tailored plan that works for your industry and competition level
✅ Content optimization – Transform existing content to work for both search engines and AI models

✅ Authority building – Systematic approach to becoming the go-to expert in your space

✅ Performance tracking – Monitor both traditional rankings and AI citations

✅ Ongoing optimization – Continuous refinement based on what’s working

This isn’t for everyone.

If you’re looking for quick hacks or get-rich-quick schemes, this isn’t it. This is for businesses that understand the game has changed and want to master the new rules.

If you’re ready to stop guessing and start dominating:

[Book a strategy call here]

We’ll analyze your current situation and create a plan to win in both traditional search and LLM optimization.

Limited spots available. The businesses that act now will have a massive head start over those who wait.

The search landscape changed forever. Make sure you’re on the winning side.