LLM SEO Services
Stay Ahead With SEO Built for Large Language Models
Generative AI has transformed how people search, and the numbers speak for themselves. Within two months of its launch, ChatGPT gained more than 100 million monthly users and 13 million daily users. By 2023, it attracted 1.6 billion visits every month and accounted for 60% of traffic to the top 50 AI products.
Today, AI systems like ChatGPT hold nearly 70% of the market share for AI subscriptions, with revenues projected to reach $1 billion in 2024. These figures are more than hype. They reveal where your potential customers are spending their time—and where brands need to show up.
Traditional SEO services still play a role in bringing organic traffic from search engines. However, large language models (LLMs) now influence how content appears in AI search referrals and direct answers. If your website content is not optimized for natural language queries or structured with semantic HTML, you risk losing visibility to competitors who already leverage large language model optimization.
That’s where LLM SEO services step in. By combining best practices and strategies designed for both traditional search engines and AI tools, businesses can adapt to these future trends without losing the progress built through traditional SEO performance. Optimization for LLM-driven search is becoming a key factor in brand relevance and lead generation.
My approach bridges the gap between traditional search engine optimization and generative engine optimization. I help brands optimize content for user intent, structured data, and retrieval augmented generation so your business stays discoverable in both search results and AI-driven responses. The result is an SEO strategy that captures search referrals today while building authority for the future.
Get Your Free SEO Audit – Discover how your content performs in both traditional search engines and AI-driven results.
World Class SEO Services,
Filipino Affordability.
Stay Visible in AI Search
My SEO for LLMs Services
Optimizing for large language models requires more than traditional SEO tactics. My services focus on aligning your content with how AI systems deliver answers, combining technical expertise and content strategies that improve visibility, capture organic traffic, and connect your business with potential customers in AI-driven search.
I provide an array of content and SEO services, which include:
Keyword Research for Natural Language Queries
Traditional keyword lists often miss how people phrase questions in AI search. Large language models pull context from conversational queries, not just exact keyword matches. I focus on finding the right terms and related topics that align with user intent, so your content speaks the same language potential customers use when asking questions to AI tools.
Technical SEO and Structured Data
If your site isn’t structured for both search engines and AI systems, important content can get buried. Technical SEO and schema markup help your pages appear as direct answers instead of being overlooked. I handle the behind-the-scenes fixes—semantic HTML, crawlability, and structured data—so your content is easier to understand, index, and show up where it matters.
Content Writing for LLM and AI Search
A blog stuffed with keywords doesn’t cut it anymore. AI-driven search rewards content that’s clear, useful, and written in natural language. I create content designed to answer questions directly while still building authority for your brand. This balance helps your business get picked up by both traditional search engines and AI-generated responses.
Optimizing Content for Large Language Models
AI search works differently than traditional engines. It looks for context, relevance, and how well content aligns with training data. I optimize your pages so they’re not only keyword-friendly but also structured for retrieval augmented generation. That means your brand has a better chance of showing up when AI delivers direct answers to users.
Tracking Performance With Google Analytics and AI Tools
It’s easy to get lost in vanity metrics without knowing what actually drives leads. I use Google Analytics and AI tools to track where traffic comes from, which queries trigger your content, and how LLM referrals impact conversions. This gives you actionable insights, so every SEO campaign focuses on results that grow your business.

SEO Expertise That Grew With Search Itself
I started my journey in 2009 as a content writer. My focus then was simple—create content people wanted to read. But as I kept writing, I noticed something: some pages drew traffic and sparked conversations, while others stayed invisible. That curiosity about “why” became my entry point into SEO.
I learned how traditional search engines ranked pages, what made keywords click, and how technical SEO shaped visibility. I tested, failed, and refined until I understood what truly worked to bring in leads. Over the years, I went from writing content to building SEO strategies that turned websites into revenue drivers.
Now, search is shifting again. Large language models and AI-driven answers are changing how potential customers find information. My work in LLM SEO is about keeping businesses visible in this new environment, while still driving results through traditional SEO performance.
I don’t run an agency. When you work with me, you get direct access to the person analyzing data, creating content, and optimizing your site. If the project grows, I can bring in specialists I trust, but I’ll stay hands-on to keep everything consistent and effective.
For me, good SEO is about staying ahead of the curve. Whether through traditional search or AI-driven results, I focus on long-term visibility that connects your brand with the customers already searching for you.
What is SEO for LLM?
SEO for large language models is about future-proofing your visibility. Search is evolving, but the goal remains the same: connect with potential customers at the exact moment they’re looking for answers.
SEO for large language models (LLM SEO) is the process of optimizing your content so it can be understood, retrieved, and displayed in AI-driven search results. Unlike traditional SEO, which focuses on ranking higher in search engine results pages, LLM SEO looks at how content appears when AI systems provide direct answers to user queries.
Generative AI tools like ChatGPT, Gemini, or Claude do not crawl the web the same way traditional search engines do. Instead, they rely on training data, structured content, and retrieval augmented generation to find and deliver the most relevant information. This means businesses can no longer depend only on traditional SEO performance. If your website isn’t optimized for LLMs, your content may never show up in AI search referrals, even if it performs well on Google.
The shift is significant. People are moving from typing short keywords into Google to asking complete natural language queries in AI-powered platforms. Instead of clicking through multiple links, users now expect a direct answer. For businesses, this raises an important challenge: how do you make sure your content is the one LLMs pull into those answers?
How to Get Your Website Cited in AI LLMs
LLMs prioritize content that’s accurate, easy to process, and aligned with user intent. The following factors increase your chances of appearing when AI systems generate responses.
Write With Clarity and Context
LLMs favor content that’s straightforward and comprehensive. Writing in natural language and addressing questions directly makes your content easier for AI to recognize and pull into answers.
Use Structured Signals
Schema markup, semantic HTML, and clean technical SEO provide signals that help AI systems understand and categorize your content more accurately.
Build Authority Through Relevance
When your brand consistently appears in conversations, articles, or references across related terms, LLMs are more likely to view your site as a reliable source.
Focus on User Intent
LLMs are trained to give answers that match what users mean, not just the keywords they type. Aligning content with user intent makes it more likely to be cited.
What Are the Major LLM Models?
Each model has unique strengths, but they all influence how businesses should think about SEO for AI-driven search. Here’s a quick look at the most widely used LLMs today.

OpenAI’s GPT (ChatGPT)

Google Gemini

Anthropic Claude

Meta’s LLaMA
Future-proof your search strategy now
My LLM SEO Process
Showing up in both traditional search engines and AI-driven answers where buyers are asking questions is what really makes the difference. My process is built to position your business in front of potential customers at the right moment, using strategies that adapt to how large language models process content.
Step 1: Learning About Your Business
Every project starts with understanding your brand. What products or services do you offer? Who is your target market? Which platforms matter most for your visibility? This foundation guides the SEO strategy so it aligns with your business goals.
Step 2: Competitor and Market Research
I analyze how competitors perform in both traditional search and AI-generated results. This shows where they’re gaining referrals, what content resonates, and where gaps exist. Those insights help us uncover opportunities to position your website ahead of them.
Step 3: Mapping User Intent
People now phrase queries in natural language, expecting direct answers. I identify the search intent behind those queries—whether they’re researching, comparing, or ready to buy—so your content matches the customer journey at every stage.
Step 4: Reviewing Your Current SEO Setup
I audit your website, content, technical SEO, and analytics. From crawlability and structured data to Google Search Console performance, I evaluate how ready your site is for both traditional search and LLM optimization.
Step 5: Building the SEO Strategy
Using all insights gathered, I create a strategy that blends traditional SEO tactics with LLM-focused optimization. This includes keywords, content formats, and structured elements that help your business get cited in AI search responses.
Step 6: Execution and Optimization
I update site content, optimize technical elements, and create content designed for natural language queries. Every change is made to improve visibility and attract potential customers who are actively searching.
Step 7: Tracking and Reporting
You’ll receive regular updates on traffic, rankings, and AI-driven referrals. I provide actionable insights, so you can see how SEO performance impacts leads and sales.
Step 8: Continuous Refinement
SEO and AI systems evolve. I monitor shifts in algorithms, competitors, and customer behavior, then adjust your strategy to keep your business visible where it matters most.
Why Hire a SEO Specialist in the Philippines?
Choosing who manages your SEO can make the difference between steady growth and wasted resources. Agencies often spread their focus across dozens of accounts, which means strategies can feel generic. Hiring a dedicated specialist gives you direct access to someone who understands your business, tracks your performance closely, and adapts quickly when search engines and AI systems change. Here’s why working with a Philippines-based SEO expert is a strong move for your business.
Skilled and Experienced Professionals
The Philippines is home to a fast-growing community of SEO specialists recognized worldwide for delivering results. Many, like me, started as content writers before building full SEO strategies, making us uniquely equipped to combine content and technical optimization.
Strong English Fluency
Clear communication is vital for any SEO campaign. Filipino SEO specialists are fluent in English, making it easier to create content that resonates with global audiences and avoids the missteps that come from poor translation or cultural gaps.
Cost-Effective Without Cutting Quality
Working directly with a Philippines-based specialist gives you high-quality SEO expertise at competitive rates. Instead of paying for agency overhead, your investment goes directly into strategies that boost visibility and leads.
Time Zone Advantage
The time difference means progress can continue even outside your business hours. While you focus on operations, SEO work keeps moving — helping your site stay ahead of competitors in both traditional search and AI-driven platforms.
Personalized and Flexible Approach
You won’t be treated like “just another account.” I focus on building strategies around your goals and can expand the team with trusted freelancers if your campaign grows. This flexibility keeps your SEO personal, responsive, and results-driven.

Don’t stay invisible in AI search. Let’s talk about your next step.
FAQs about LLM SEO
Is SEO possible with AI?
Yes. SEO is evolving to work with AI systems as well as traditional search engines. By optimizing for natural language queries, structured data, and relevance, your content can appear in both Google results and AI-generated answers like ChatGPT or Gemini.
How to optimize content for LLM?
Focus on writing clear, conversational content that directly answers user questions. Combine this with structured data, semantic HTML, and keyword research aligned with natural language queries. This helps large language models understand, retrieve, and cite your content in AI-driven results.
How to do SEO for ChatGPT?
ChatGPT doesn’t crawl the web like Google, but it references training data and retrieval sources. SEO for ChatGPT means optimizing your content so it’s authoritative, structured, and relevant—giving it a better chance of being pulled into AI-generated responses.
Does traditional SEO still matter?
Absolutely. Google and other search engines remain the primary source of organic traffic. Traditional SEO builds authority, while LLM SEO prepares your content for AI-driven referrals. Together, they create a stronger strategy for visibility and lead generation.
Can LLM SEO help my industry?
Yes. Whether you run a SaaS company, ecommerce site, or local business, LLM SEO increases your chance of being cited in AI answers. It’s about aligning your content with how people now ask questions across both search engines and AI platforms.