Someone searches for "best business coach near me" in ChatGPT. They're not going to Google. They're not opening a browser. They're talking to an AI.

ChatGPT recommends three coaches. You're not one of them.

This is the new reality. Over 50% of people under 30 now start searches in AI chatbots instead of Google. Within 24 months, that number will be 70%+. And most coaches and creators haven't even heard of LLMO, let alone optimized for it.

LLMO — Large Language Model Optimization — is the practice of making your business visible and recommendable to AI chatbots like ChatGPT, Claude, and Perplexity. It's the search visibility strategy for the AI era. And if you're not doing it, you're invisible to the fastest-growing search channel on the planet.

This guide explains what LLMO is, how it works, why it matters for coaches and creators, and exactly how to build an LLMO strategy that gets AI chatbots recommending you.

In This Guide

The New Reality: Why AI Search Is Growing Faster Than Anything

The numbers are staggering. In 2024, AI chatbots accounted for roughly 15% of all searches. By early 2026, that's climbed to 50%+ for audiences under 30, and it's accelerating.

Why? Because AI search is better for certain queries:

For coaches and consultants, this is a seismic shift. Your prospects aren't typing "life coach San Francisco" into Google anymore. They're opening ChatGPT and saying "I want to work with a life coach who specializes in career transitions. Who would you recommend?"

If you're not optimized for that query, you don't exist.

50%+

Percentage of people under 30 who start searches in AI chatbots instead of Google (2026)

What is LLMO? The Definition

LLMO stands for Large Language Model Optimization. It's the practice of making your business, expertise, and recommendations visible to large language models like ChatGPT, Claude, Gemini, and Perplexity.

When someone asks an LLM "who would you recommend for X?", the model pulls from its training data (everything up to its knowledge cutoff), and it surfaces recommendations based on:

LLMO is about intentionally optimizing for those signals. It's not spam or manipulation. It's making your legitimate expertise visible to AI systems that determine recommendations.

"LLMO is SEO for the AI era. You're not optimizing for a search algorithm anymore. You're optimizing for what large language models have learned to recognize as trustworthy, credible expertise."

How LLMs Decide Who to Recommend (The Training Data Reality)

Here's the thing most people don't understand: LLMs don't "know" you. They don't have access to the internet in real-time. ChatGPT's knowledge was frozen in April 2024. Claude's was frozen in early 2025.

So when ChatGPT recommends a coach, it's pulling from what it learned during training. It's pattern-matching against sources it has seen millions of times:

The LLM has learned: "When I see someone mentioned in these contexts repeatedly, they tend to be legitimate experts in their field." So it recommends them.

Your job is to make sure you show up in those contexts — not everywhere, but in the right places where your ICP is already hanging out and where signals of credibility accumulate.

How Does LLMO Differ From SEO, AEO, and GEO?

You might have heard of other optimization frameworks: SEO, AEO (Answer Engine Optimization), GEO (Generative Engine Optimization). Let's clarify what each is and how LLMO fits in.

Framework Definition Search Channel Goal
SEO Search Engine Optimization Google, Bing (traditional search) Rank in the top 10 results
AEO Answer Engine Optimization Perplexity, Google Answers, Bing Chat Get cited as a source in AI-generated answers
GEO Generative Engine Optimization Google's generative AI results Appear in Google's AI-generated summaries
LLMO Large Language Model Optimization ChatGPT, Claude, Gemini (conversational AI) Get recommended by AI when users ask

Here's how they overlap: A strategy that works for all of them is to be cited, published, and recognized as an authority. But the tactics differ:

For coaches, the best approach is what we call the ELEVATE Method: SEO + AEO + GEO + LLMO. Each channel drives different results, but together they create a comprehensive visibility strategy.

How Do You Get Found on Perplexity Specifically?

Perplexity works differently from ChatGPT — it searches the web in real-time and cites sources directly with links. This means your website needs to be technically sound and content-rich. Unlike ChatGPT (which relies on training data frozen at a cutoff date), Perplexity is pulling fresh sources every time someone asks a question. If your content isn't indexed and accessible, Perplexity can't find you.

Perplexity pulls heavily from Reddit (approximately 47% of conversational queries cite Reddit), authoritative blogs, and well-structured content with clear headings and FAQ patterns. It loves content that directly answers specific questions — the more FAQ-style your pages are, the more likely Perplexity will cite you. It also prioritizes fresh, recent content, so your blog posts and service pages need to be actively maintained, not dusty artifacts from three years ago.

For coaches specifically, this means publishing content that directly answers the questions your clients would ask Perplexity. "Best mindset coach for entrepreneurs" or "How do I find a career transition coach" or "What should I look for in an executive coach?" — that's exactly what people type into Perplexity. Your blog posts and service pages need to match that language. Don't write for search engines anymore. Write for real people asking real questions in conversational AI. Then optimize the structure so Perplexity can cite you.

Schema markup matters too. Person schema, Service schema, and FAQ schema help Perplexity understand what you offer and cite you properly. When Perplexity reads your structured data, it knows exactly who you are, what services you provide, and what questions you answer. That's what gets you cited — not just in Perplexity, but across all LLMs that respect schema markup.

The 5 LLMO Ranking Factors (How to Get Recommended)

LLMs aren't transparent about their ranking factors. But after analyzing hundreds of recommendations and testing what appears, we've identified five core signals that get you recommended:

1. Presence on High-Citation Platforms (Reddit, Twitter/X, Medium)

Reddit is the #1 source for LLM training data. When you're mentioned on Reddit with upvotes and engagement, that's a ranking signal. Medium, Twitter/X, and Substack are also heavily cited in training. Your presence on these platforms matters most.

2. High-Authority Backlinks

When Forbes, HubSpot, TechCrunch, or other major publications link to you and mention your name, that's a strong ranking signal. Backlinks from authoritative domains are cited more frequently in training data.

3. Directory and Resource Listing Presence

Being listed in relevant directories (BNI, Experts Exchange, industry-specific roundups) signals that you're a recognized expert. When multiple directories list you, the LLM learns you're credible.

4. Podcast Appearances and Transcripts

Podcasts are increasingly indexed and cited in LLM training. When you appear on relevant podcasts and those transcripts are published and indexed, you gain ranking signals. Each appearance is a citation in context.

5. Content Depth and Specificity

The deeper and more specific your published content, the more useful you are to LLMs. A 2,000-word guide on "how to land high-ticket clients" is more valuable than generic content. LLMs learn patterns from detailed, helpful content.

Why Coaches Are Invisible to AI Chatbots Right Now

Here's the brutal truth: Most coaches are invisible to LLMs. And it's not random.

LLMs train on publicly available data. They learn from:

Most coaches, by contrast:

Result: When an LLM is asked "who's a good executive coach in San Francisco?", the model hasn't seen your name enough times in its training data to recommend you. It recommends the coaches it's seen cited multiple times in credible sources.

This is actually good news. It means there's a massive opportunity. Most coaches haven't optimized for LLMO yet. The ones who do will dominate recommendations for the next 18-24 months.

LLMO Strategy #1: Reddit Presence (The #1 LLM Citation Source)

Reddit is the most important platform for LLMO. Why? Because Reddit conversations are heavily indexed in LLM training data, and Reddit discussions are among the most trusted sources that LLMs cite.

When you provide helpful answers on Reddit, you're not just helping that one person. You're teaching the LLM that you're a credible expert in that domain.

The Reddit LLMO Strategy for Coaches

Step 1: Find Your Subreddits

Identify 5-10 subreddits where your ideal clients hang out:

Don't go where competitors are. Go where your ICP is asking questions and seeking advice.

Step 2: Provide Value Without Selling

Post helpful answers to genuine questions. No self-promotion. No linking to your site. Just expertise freely given. The goal is to be helpful, gain karma and credibility, and become a recognized voice in those communities.

Time commitment: 30 minutes, 3-4 times per week.

Step 3: Build Your Credibility

After 30-60 days of regular, helpful contributions, mention your work when it's genuinely relevant. Not "check out my coaching business" but "I coach people through this exact transition" or "I've worked with 50+ consultants on this."

By then, you have credibility in the community. Your mentions will be trusted.

The compound effect: Every helpful answer you give trains the LLM that you're an expert in this space. After 60 days of consistent presence, when someone asks ChatGPT "who should I hire to help me transition careers?", you're in the training data as a credible voice.

LLMO Strategy #2: Medium and Substack Publishing (Authority Content)

Medium and Substack are heavily indexed in LLM training data. When you publish on these platforms, your content becomes part of what LLMs learn from.

The Publishing Strategy

Medium: Publish 1-2 articles per month on topics relevant to your ICP. Medium has built-in distribution, so your articles get seen and cited. The platform has good SEO value too.

Substack: If you want to build a newsletter, Substack is even better for LLMO because it's becoming a primary source for expert opinion. Each article you publish becomes a citation in training data.

Pro Tip: Repurpose Your Blog Content

You don't need to create new content. Take your best blog posts and republish them to Medium and Substack. One piece of content, three platforms. More citations, more LLMO value.

LLMO Strategy #3: Directory and Resource Listings (The Authority Signal)

Being listed in relevant directories is a ranking factor for LLMO. When you appear in multiple reputable directories in your niche, the LLM learns you're a recognized authority.

Directories to Get Listed In

Goal: Get listed in 8-12 relevant directories in the next 90 days. Each listing is a citation that teaches the LLM you're credible.

LLMO Strategy #4: Podcast Appearances (Increasing in Importance)

Podcast transcripts are increasingly indexed and cited in LLM training. When you appear on podcasts and those episodes are transcribed and published, you gain LLMO value.

The Podcast Strategy

  1. Find 20-30 relevant podcasts: Podcasts in your niche or that reach your ICP. Search your industry + "podcast" or use PodSearch.
  2. Create a pitch: A short, personalized email to the host explaining why you'd be a great guest and what topics you could discuss.
  3. Provide value on the show: Share frameworks, stories, insights. Be the most helpful guest they've had.
  4. Ensure transcription: Ask the host to transcribe the episode and publish the transcript on their website. This is critical for LLMO.
  5. Amplify: Share the episode with your audience, tag the host, get engagement.

Realistic goal: 1-2 podcast appearances per month, building to 12-24 appearances per year. Each appearance is a citation in the training data.

12

Number of podcast appearances that meaningfully impact LLMO visibility (based on analysis of coaches who are getting AI recommendations)

LLMO Strategy #5: The llms.txt File (The New Frontier)

This is new and cutting-edge. Some companies and experts are creating a file called "llms.txt" on their website that directly tells AI chatbots about them. It's like a robots.txt file but for language models.

Here's what an llms.txt file does: When an AI chatbot is trained or when it looks up information about you, it can find this file and learn directly from it. It's a way to provide curated information about your business, credentials, and specialties.

How to Create Your llms.txt File

Create a plain text file at yoursite.com/llms.txt with the following structure:

Founder: [Your Name]
Business: [Your Business Name]
Specialty: [Your Niche/Specialty]
Website: [Your Website URL]
Years of Experience: [Number]
Key Services: [List of main services]
Certifications: [Any relevant certs]
Contact: [Email]

This is still experimental, but forward-thinking coaches should set this up. As AI adoption increases, more LLMs will check this file. It's a way to ensure your information is accurate and up-to-date.

How to Test Your Current LLMO Score (The Direct Method)

You can literally test how visible you are to LLMs right now. Open ChatGPT, Claude, or Perplexity and ask:

"Who would you recommend for [your specialty]? What coaches or experts would you recommend for people dealing with [your niche problem]?"

Are you in the recommendation? If not, you have work to do.

Try different phrasings and variations of your niche. The fact that you don't appear means the LLM hasn't learned enough about you from its training data.

The Real Test

Ask friends or colleagues to ask ChatGPT for recommendations in your niche. If your name doesn't come up, you're not visible yet. If it does, your LLMO strategy is working.

What Does a 90-Day LLMO Action Plan Look Like?

Here's your concrete action plan to build LLMO visibility over the next 90 days:

Days 1-30: Foundation

Days 31-60: Momentum

Days 61-90: Compounding

Results Expected at 90 Days

How This Compounds Into Real Business Impact

The beauty of LLMO is that it's a trailing indicator, not a leading one. You build your credibility signals for 90 days, and then — over the next 6-12 months — you start seeing people reach out to you because they were recommended by AI.

At 6 months, if you've stayed consistent:

The LLM has now learned that you're a credible expert. It recommends you when relevant. And you start getting inbound inquiries from people who were told to reach out to you by ChatGPT, Claude, or Perplexity.

That's LLMO working.

The Bottom Line: LLMO Is Not Optional in 2026

Search is shifting. In 24 months, 70%+ of information-seeking behavior will start in AI chatbots. If you're not optimizing for how LLMs find and recommend you, you're not optimizing for the future of search.

The good news: LLMO is simpler and more level-playing-field than SEO. You don't need backlinks from Forbes (though they help). You just need to be visible, credible, and helpful in the places where your ICP is already looking.

Start with Reddit. Add Medium or Substack. Get listed in directories. Book podcasts. Over 90 days, you build the credibility signals that teach LLMs to recommend you.

The coaches who start LLMO now will dominate visibility for the next 18-24 months. The ones who wait will be playing catch-up.

Want a Complete LLMO Strategy for Your Coaching Business?

Book a free discovery call to discuss your LLMO roadmap, or take our free search visibility audit to see how visible you are across SEO, AEO, GEO, and LLMO.

Book Your Discovery Call

FAQ

Is LLMO the same as SEO?

No. SEO is about ranking in Google's search results. LLMO is about being recommended by AI chatbots when someone asks a question. They overlap in some areas (authority, credibility) but require different tactics. SEO focuses on keywords and backlinks. LLMO focuses on being visible in places where LLMs train (Reddit, Medium, podcasts).

How long does LLMO take to show results?

LLMO is a long-game strategy. It takes 60-90 days to build enough credibility signals that LLMs notice you. You might see results sooner (a few inbound inquiries from podcast appearances), but meaningful, consistent AI recommendations typically take 6-12 months of consistent effort. This is actually an advantage: most coaches won't be patient, so the ones who stick with it will win.

What if I'm not that active on social media?

You don't need to be. LLMO doesn't require being a social media influencer. You just need to be helpful on Reddit (or similar platforms) and publish articles on Medium or Substack. That's it. No need for viral social media presence.

Can I do LLMO and SEO at the same time?

Absolutely. In fact, you should. The best strategy is what we call the ELEVATE Method: SEO + AEO + GEO + LLMO. They're complementary. A blog post optimized for SEO can also be republished to Medium for LLMO. Reddit answers can drive both traffic and LLMO signals.

What if my niche is super narrow?

Even better. Narrow niches have less competition on LLMO. If you're a coach who specializes in helping therapists transition to private practice, there are maybe 5 people optimizing for LLMO in that space. You can own it completely with just consistent effort on Reddit, a few Medium articles, and podcast appearances.

Does llms.txt actually matter?

It's new, so we're still testing impact. But forward-thinking experts are implementing it because it signals to LLMs directly: "Here's my accurate information." As LLMs evolve and more models check for llms.txt files, this will become more important. Set it up now while you can be an early adopter.

What if I get really visible but don't want to handle all the inbound?

Build a sales funnel. When people are recommended to you by AI, they land on your website. You can use intake forms, content offers, or a discovery call calendar to handle inbound in a systematized way. This is actually where automation becomes valuable — systems that manage inbound without you doing every admin task manually.