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Hey there 👋

Thanks for going through my LLMSEO Playbook.

This guide is for marketers, founders, and content teams who want to increase their visibility not just on Google, but also across AI-driven search engines like ChatGPT, Perplexity, and Gemini.

Search has changed. Ranking today isn’t just about keywords; it’s about being visible where decisions are made: inside AI conversations.

That’s where LLMSEO (Large Language Model SEO) comes in.

In this playbook, you’ll find:

✅ How AI search engines decide what content to surface

✅ Research workflows for identifying LLM-friendly queries

✅ Checklist to optimize your content for both Google + Generative Search

The goal? Make your brand impossible to ignore in the places your buyers now search for answers.

If you want to see how these ideas apply to your own content, DM me on LinkedIn or email me at [email protected] (with your thoughts, ideas, suggestions + feedback)

💡 Bonus: Share your biggest takeaway on LinkedIn and tag me — I’ll send you a personal note + a quick visibility checklist to help you apply LLMSEO faster.

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Step 1: Understand what LLMSEO is

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• Optimizing for AI-driven search, not just Google

  Traditional SEO is about ranking in Google SERPs. AISEO/LLMSEO is about making your content discoverable inside AI search engines like ChatGPT, Perplexity, DeepSeek, Gemini, and Claude, where buyers are now asking their questions directly.

• Content structured for LLMs (Large Language Models)

  AI models don’t just scan keywords. They seek clear, trustworthy, and semantically rich answers. LLMSEO focuses on formatting content (headings, FAQs, citations, internal linking) so that AI can easily extract and recommend it. If AI can extract value from it, it will cite your content as much as possible.

• Visibility where decisions happen

  Instead of chasing clicks alone, AISEO ensures your brand shows up in AI-generated answers and product recommendations, which is where buyers increasingly make purchase decisions.

LLMSEO is divided into three parts

• AEO (Answer Engine Optimization): Get featured in AI answers

Example:

You write a blog post titled “What is the difference between X and Y?” and structure it with clear H2s, comparison tables, and FAQs.

• When someone asks ChatGPT “Is X better than Y?”, your blog gets quoted directly because it clearly answers that exact question in a structured, easy-to-chunk way.
• GEO (Generative Engine Optimization): Get cited in AI-generated responses

Example:

You publish an article “5 CFO Challenges that stall SaaS Growth” with original research and data.

• When someone asks “What are the main challenges CFOs face in SaaS companies?” on Perplexity, your article is listed in the citations because it has credible stats and benchmarks.
• AIO (AI interaction Optimization): Get clicked through conversational interfaces

Example:

You write a piece “The Complete Playbook for B2B Growth Strategies in 2025” and optimize the meta title/description with engaging, action-driven copy.

• When a user asks “How can B2B SaaS companies grow faster?” in Gemini, your content shows up in the AI response with a link — and because your snippet reads “12 real strategies B2B founders used to double ARR”, the user clicks through to your article.

✨ In short:

• AEO = Answer visibility (structured answers → AI pulls text).
• GEO = Citation visibility (credible data → AI cites you).
• AIO = Click-through visibility (engaging hooks → user clicks from AI interface).

Use This Framework while writing your content

• One Person: Your specific target customer
• One Problem: A genuine pain point they are struggling to solve
• One solution: We are not omnipotent. So, focus on one solution, package the solution in bite-sized paragraphs and focus on conveying that solution in a very easy manner

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How do AI search engines decide which content to show?

As of now, there is no definitive answer to this question.

LLMSEOs don’t work the same way as traditional Google-oriented SEO, so there is no ‘one-size-fits-all’ solution to this question.

But unlike traditional SEO, AISEO focus on answering a user query directly and in-depth (and in turn gets trained on what the results should be displayed for a particular search string).

Here’s a simple example to explain how AI search engines choose what to show:

Imagine two websites both try to answer the question, “What are the best tools for organizing remote teams?”

• The first site simply provides a basic list, such as “Try Slack, Zoom, and Trello.”
• The second site features a comprehensive guide, which explains the functionality of each tool, includes a comparison table, provides step-by-step advice, quotes real team leaders, and shares before-and-after stories from actual companies that achieved better results using these tools.

When someone asks an AI, “How can I organize my remote team?” the AI prefers the second site—the one with more details, clear sections, tables, expert quotes, and real stories.

Why?

Because it gives direct answers, is more helpful, and proves it knows what it's talking about. That’s why the second site gets shown higher in AI results and voice searches.

So, if you want your content chosen by AI search engines, go deep into the topic, organize your page well, use data and examples, and show real expertise. That’s what makes your content stand out.

Step 2: AI Tools I Typically Use and How

• ChatGPT / Claude / Gemini
  • How I use them: Drafting initial outlines, FAQs, and structured answers to simulate how LLMs themselves “think” about a query.
  • Why it matters for AISEO: By testing prompts against LLMs, I see what content structure they prefer to surface — and then mirror that in real blogs or landing pages.