The Complete Guide to AI SEO

Published: October 19, 2025

The Walmart Shopping Story That Changed Everything

Last week, someone bought groceries without ever visiting a website.

They opened ChatGPT and typed: "What should I make for dinner tonight?"

The AI suggested three recipes based on their dietary preferences. Then it recommended ingredients. Then it asked if they wanted to buy everything. They said yes. ChatGPT completed the purchase at Walmart—all in one conversation.

No Google search. No clicking through websites. No adding items to a cart. Just a simple conversation with AI.

This isn't science fiction. It happened last week. And it's happening thousands of times every day now.

Here's the scary part: If AI doesn't know about your business, you don't exist to these shoppers.

For 25 years, businesses played the same game. Rank on Google's first page, get traffic, make sales. We called it SEO (Search Engine Optimization), and it worked great.

But in October 2025, everything changed.

Walmart partnered with ChatGPT to enable conversational shopping. Google added a button that lets users hide all ads with one click. And experts are now saying that things called GEO, AEO, LLMO, and AIO are the future of search.

If you're confused by all these acronyms, you're not alone. Even marketing professionals are scratching their heads trying to figure out what's different and what matters. join us in our vip marketing community

Here's the truth: By 2026, one out of every four searches won't even use traditional search engines. People will just ask AI instead.

Think about that. 25% of searches gone from Google. And if AI doesn't know about your business, you're invisible to those people.

So here's the big question: How do you make sure AI knows about your business and recommends you?

That's exactly what this guide will teach you. You'll learn about seven types of optimization:

SEO - Getting found on Google (the foundation)
GEO - Getting recommended by AI (the new way)
AEO - Becoming the answer AI gives (the direct approach)
SGE - Google's AI-powered search experience (now called AI Overviews)
LLMO - Optimizing for language models (the technical side)
AIO - The broader AI optimization picture (the big view)
AI SEO - The umbrella term for everything (the simple way to explain it)

By the end of this guide, you'll understand what each term means, how they work together, and exactly what to do to stay visible no matter how people search.

Let's get started.

The Alphabet Soup: What All These Acronyms Mean

If you've been reading marketing blogs lately, you've probably seen terms like GEO, AEO, LLMO, and AIO popping up everywhere. You might be wondering: "Are these all different things? Do I need to learn six different strategies?"

Here's the truth that nobody's telling you: They all mean basically the same thing.

According to Backlinko's recent analysis, these are just different names for the same shift in how search works. Different people from different backgrounds (SEO, content marketing, PR, data science) are all naming the same evolution.

But let's break down each term so you understand what people mean when they use them:

SEO (Search Engine Optimization)

This is the original. SEO is about getting your website to show up when people search on Google, Bing, or other search engines.

Goal: Rank high in search results
Platform: Google, Bing, Yahoo
How it works: Search engines crawl your website, understand your content, and rank you based on relevance and authority
Success metric: Traffic to your website

Learn more: Google Search Central

GEO (Generative Engine Optimization)

This is about getting AI models to know about your brand and recommend you when people ask for advice.

Goal: Get mentioned in AI-generated responses
Platform: ChatGPT, Claude, Gemini, Perplexity
How it works: AI models learn about your brand from their training data and recommend you when relevant
Success metric: Being mentioned by AI

Learn more: The Drum - SEO is Dead, Long Live GEO

AEO (Answer Engine Optimization)

This is about structuring your content so AI can easily extract it and present it as an answer.

Goal: Become the answer AI provides
Platform: All AI systems that answer questions
How it works: You structure content with clear answers that AI can extract and quote
Success metric: Being cited as the source of answers

LLMO (Large Language Model Optimization)

This is the technical term for optimizing specifically for how large language models work.

Goal: Optimize for how LLMs retrieve and process information
Platform: GPT-4, Claude, Gemini, and other large language models
How it works: Understanding the technical architecture of how LLMs work and optimizing accordingly
Success metric: Being retrieved and cited by LLMs

SGE (Search Generative Experience)

This is Google's original name for their AI-powered search feature. In 2025, Google renamed it to "AI Overviews."

Goal: Appear in Google's AI-generated search summaries
Platform: Google Search
How it works: Google's AI generates comprehensive answers at the top of search results, citing sources
Success metric: Being cited in AI Overviews

Important note: SGE and AI Overviews are the same thing. Google launched it as "Search Generative Experience" in 2023, then renamed it to "AI Overviews" in 2024. You'll see both terms used, but they mean the same feature.

Learn more: Google Blog - AI in Search | Semrush - Google SGE Guide

AIO (Artificial Intelligence Optimization)

This is the broadest term, covering optimization for all AI systems, not just search-related ones.

Goal: Be visible across all AI platforms
Platform: All AI systems (search, recommendations, assistants, agents)
How it works: Comprehensive optimization across the entire AI ecosystem
Success metric: Overall AI visibility

AI SEO (AI-Powered Search Engine Optimization)

This is the umbrella term that covers everything. It's essentially SEO evolved for the age of AI.

Goal: Visibility across both traditional search and AI systems
Platform: Everything (Google, ChatGPT, Perplexity, AI Overviews, etc.)
How it works: Integrated approach that works for both traditional search and AI
Success metric: Total brand visibility

The Simple Truth

Here's what you need to know: You don't need to choose between these approaches.

They all aim for the same goal: making your brand visible when people search for information, whether they use Google or ask ChatGPT.

The tactics that work for one generally work for all of them:

Create comprehensive, helpful content
Build authority and trust
Structure information clearly
Use natural language
Show your expertise

Think of it like this: You don't need separate strategies for "getting found on Chrome" vs. "getting found on Safari." They're both web browsers, and good websites work on both.

Similarly, you don't need separate strategies for SEO, GEO, AEO, LLMO, and AIO. You need one integrated strategy that works across all platforms where people search.

We call this AI SEO - and it's what the rest of this guide will teach you.

Why So Many Terms?

You might be wondering: "If they all mean the same thing, why are there so many different names?"

Great question. Here's why:

Different industries are naming the same shift. SEO professionals call it GEO. Content marketers call it AEO. Data scientists call it LLMO. They're all describing the same evolution from different perspectives.

People want to look ahead of the curve. Creating a new term makes you look like an innovator. It's marketing for marketing professionals.

Agencies are selling new services. If you can convince clients that "GEO" is different from "SEO," you can sell them a new service package.

There's nothing wrong with any of this. But it does create confusion. That's why we're cutting through it and giving you the straight story.

According to Backlinko's research, search interest in these terms has exploded in the past year. "AI Optimization" searches have grown 400%. But "SEO" still gets 250,000 searches per month in the US alone.

The takeaway? SEO isn't dead. It's evolving. And all these new terms are just different ways of describing that evolution.

Why SEO Still Matters (And Always Will)

With all this talk about AI, you might be thinking: "Should I just forget about SEO and focus on AI optimization?"

Absolutely not.

Here's why traditional SEO still matters and will continue to matter:

Billions of People Still Use Google Every Day

Google processes over 8.5 billion searches every single day. People aren't going to stop using Google overnight.

Even as AI grows, traditional search remains massive. People use Google when they want to:

Find a specific website
Compare multiple options
Read reviews and details
Browse and explore

AI is great for quick answers and recommendations. But when people want to dig deeper, they still use traditional search.

SEO Builds Authority That Helps Everything Else

Here's something interesting: AI models pay attention to which websites rank well on Google.

If you have strong SEO, AI is more likely to:

Know about you
Trust your information
Recommend you
Cite you as a source

According to Google's Liz Reid, the signals that help you rank in traditional search also help you appear in AI-generated responses.

Think of SEO as building your reputation. Once you have that reputation, it spreads everywhere including to AI systems.

Good SEO Practices Help With AI Optimization

The things that make you rank well on Google also help with AI:

Creating helpful, comprehensive content - Both Google and AI reward content that genuinely helps people.

Building a fast, easy-to-use website - Technical excellence matters for both traditional search and AI crawlers.

Getting other websites to link to you - Backlinks signal authority to both Google and AI systems.

Showing expertise and credentials - E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) matters for both.

Structuring content clearly - Good organization helps both search engines and AI understand your content.

So when you improve your SEO, you're also improving your AI optimization. They work together, not against each other.

What Good SEO Looks Like in 2025

Modern SEO has evolved. It's not about tricking algorithms anymore. It's about genuinely helping people.

Here's what works now:

Focus on helping people, not gaming algorithms. Create content that solves real problems. Answer real questions. Provide real value.

Make your website fast and mobile-friendly. Nobody wants to wait for slow pages. And most searches now happen on phones.

Show you're an expert. Use your real name. Show your credentials. Prove you know what you're talking about. This is called E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).

Get quality backlinks. When respected websites link to your content, it's like getting a recommendation. Both Google and AI pay attention.

Answer questions completely. Don't make people click through five pages to find what they need. Give them the full answer.

Use natural language. Write like a human talking to another human, not a robot talking to a robot.

The bottom line: Good SEO in 2025 means being genuinely helpful. If you focus on helping people, the rankings will follow.

Learn more: Google's Search Quality Guidelines

GEO: How to Get AI to Know Your Brand

Generative Engine Optimization (GEO) is about making sure AI models like ChatGPT, Claude, and Gemini know about your business and recommend you to people.

How GEO is Different from Traditional SEO

Here's the big difference:

With SEO: Google searches the internet right now, finds your website, and shows it in results. You can improve your ranking anytime by updating your site.

With GEO: AI models learned about the world from information they read in the past. Most don't search the internet in real-time. They use what they already "know" from their training.

This creates a challenge: If your business wasn't in the information AI learned from, AI doesn't know you exist.

It's like if a super-smart person read every book in the library except yours. No matter how good your book is, they can't recommend it because they never read it.

How AI Models Learn

There are two main types of AI systems:

Base models (like ChatGPT-4, Claude) only know what they learned during training. They can't look up new information. They're stuck with knowledge from before their "cutoff date."

Search-powered AI (like Perplexity, Google AI Mode) can search the internet right now and find current information.

Why does this matter? Because your strategy needs to work for both types.

For base models, you need to make sure you were well-known before their training cutoff. For search-powered AI, you need fresh content they can find right now.

The Three-Step GEO Strategy

Step 1: Find Out What AI Knows About You Right Now

This is crucial. You need to know your starting point.

Open ChatGPT, Claude, Gemini, and Perplexity. Ask each one:

"Tell me about [your company name]"
"What does [your company name] do?"
"What's the best solution for [your type of product/service]?"
"Who are the top companies in [your industry]?"

Write down every response. You'll probably be surprised. Some AI might know a lot about you. Others might know nothing. Some might have old, wrong information.

This baseline tells you where you stand and what needs fixing.

Step 2: Create Content That Teaches AI About You

AI learns by reading lots of content and finding patterns. You need to create content that teaches AI:

Who you are
What you do
What problems you solve
Why you're different from competitors
Why people should choose you

Here's the key: Use natural language. Write like you're explaining things to a friend.

Instead of: "Enterprise SaaS solutions for project management optimization"

Say: "Software that helps teams work together on projects, especially when everyone works from different places"

AI understands natural language better. And so do people.

Step 3: Build Your Multi-Platform Presence

AI doesn't just learn from websites. It learns from everywhere:

Reddit discussions
YouTube videos
Podcast transcripts
Industry publications
Forums and communities
Social media

The more places you show up with helpful content, the more likely AI will learn about you.

According to research from WPP's Chief AI Officer, brands that appear consistently across multiple platforms are significantly more likely to be recommended by AI.

Why GEO is a Huge Opportunity

Here's the exciting part: GEO levels the playing field.

With traditional SEO, big companies with huge budgets dominated. They could afford thousands of backlinks and tons of content.

But with GEO, what matters is being in AI's training data and being recommended. A small business that creates great content and builds a strong reputation can get recommended by AI just as much as a giant corporation.

This is your chance to leapfrog bigger competitors who aren't paying attention to AI yet.

Learn more: The Drum - Why GEO is the Future

AEO: How to Become the Answer AI Gives

Answer Engine Optimization (AEO) is about structuring your content so AI can easily extract it and present it as an answer to people's questions.

The Rise of Conversational Commerce

Remember the Walmart-ChatGPT example from the beginning? That's conversational commerce, and it's changing everything.

The traditional buying process:

Search on Google
Click through websites
Read reviews
Compare prices
Add to cart
Check out

The new conversational process:

Ask AI "I need dinner ideas"
Get recommendations and buy

The whole process happens in minutes instead of hours. And it all happens through conversation with AI.

How AEO is Different

SEO = Getting your website to show up in search results
GEO = Getting AI to know about your brand
AEO = Getting AI to choose you as the answer

Think of it like this:

SEO is like being in the phone book
GEO is like the phone book owner knowing who you are
AEO is like being the person they call when someone needs help

The Five Rules of Good AEO

Rule 1: Be Complete

Don't write short, surface-level content. AI prefers detailed, thorough information that covers everything.

If someone asks "how do I start a podcast," AI wants content that covers equipment, software, recording, editing, publishing, and promoting. Not just one piece.

Rule 2: Be Clear

Use simple language. Short sentences. Clear headings. Logical organization.

AI needs to understand your content to use it. The clearer you are, the more likely AI will choose your information.

Rule 3: Answer Questions Directly

Put the answer right at the beginning. Then explain the details.

❌ Bad: "There are many factors to consider when choosing a coffee maker. First, let's discuss the history..."

✅ Good: "The best coffee maker for most people is a drip coffee maker because it's easy to use, affordable, and makes consistently good coffee. Here's why..."

AI loves direct answers.

Rule 4: Use Structure

Organize your content with:

Clear headings and subheadings
Bullet points for lists
Numbered steps for processes
Tables for comparisons
Short paragraphs (2-3 sentences)

This helps both AI and humans understand your content quickly.

Rule 5: Make It Quotable

Write self-contained sections. Each paragraph should make sense on its own, even if someone only reads that one paragraph.

AI often extracts single paragraphs or sentences. Make sure each one can stand alone.

AEO for Products

If you sell products, AEO is super important. Your product descriptions need to help AI understand:

Who should buy this product
What problems it solves
How it compares to alternatives
What makes it special
What customers say about it
Specific specifications and features

When someone asks ChatGPT "what's the best standing desk for someone with back pain," the AI needs to understand that your desk helps with back pain, not just that you sell desks.

Structure your product information so AI can easily extract:

Key features (in a list)
Who it's for (clear statement)
Problems it solves (specific)
Comparisons (objective)
Reviews (authentic)

Learn more: Content Marketing Institute - Optimizing for AI

LLMO: Optimizing for Large Language Models

Large Language Model Optimization (LLMO) is the technical term for optimizing specifically for how large language models like GPT-4, Claude, and Gemini work.

What Are Large Language Models?

Large Language Models (LLMs) are AI systems trained on massive amounts of text to understand and generate human language.

The major LLMs you need to know:

GPT-4 (powers ChatGPT)
Claude (made by Anthropic)
Gemini (made by Google)
Llama (made by Meta)

These models power most of the AI tools people use for search and recommendations.

How LLMs Work (The Simple Version)

LLMs work by:

Training - Reading billions of web pages, books, and documents
Learning patterns - Understanding how language works and how concepts relate
Generating responses - Creating new text based on patterns they learned
Citing sources - Sometimes referencing where they learned information

The key insight: LLMs don't "search" the internet in real-time (most of them). They generate responses based on patterns in their training data.

LLMO vs. Traditional SEO

Traditional SEO focuses on:

Keywords and phrases
Backlinks
Page structure
Meta tags
Technical optimization

LLMO focuses on:

Semantic meaning (what concepts mean, not just keywords)
Context and relationships (how ideas connect)
Natural language patterns (how people actually talk)
Entity recognition (clear identification of who/what you are)
Citation-worthy content (information worth referencing)

The LLMO Strategy

Optimize for Semantic Understanding

LLMs understand meaning, not just keywords. They cluster concepts by semantic relationships.

Instead of optimizing for the keyword "project management software," think about:

What problem does project management software solve?
Who needs project management software?
How does project management software relate to remote work, team collaboration, productivity, etc.?

Create content that explores these semantic relationships.

Build Strong Entity Associations

An "entity" is a clearly defined thing - a person, company, product, concept, etc.

Help LLMs understand your entity by:

Consistently using the same name across all platforms
Clearly stating what you do
Explaining how you relate to other entities in your industry
Building associations between your brand and key concepts

Create Citation-Worthy Content

LLMs are more likely to cite content that:

Comes from authoritative sources
Provides unique insights or data
Is comprehensive and detailed
Uses clear, quotable language
Has been cited by others

Think like a journalist: Create content that other people would want to quote and reference.

Use Structured Data

While LLMs can understand unstructured text, structured data helps them extract information more accurately.

Implement:

Schema markup for your content type
Clear data tables for specifications
Consistent formatting for key information
JSON-LD structured data

Learn more: Semrush - Understanding LLMO

AIO: The Bigger Picture of AI Optimization

Artificial Intelligence Optimization (AIO) is the broadest term. It covers optimization for all AI systems, not just search-related ones.

Beyond Search: The Full AI Ecosystem

While SEO, GEO, AEO, and LLMO focus primarily on search and information retrieval, AIO encompasses:

AI Assistants - Siri, Alexa, Google Assistant, and other voice-activated helpers

AI Agents - Autonomous AI that makes decisions and takes actions on behalf of users

Recommendation Systems - AI that suggests products, content, or services (like Netflix, Amazon, Spotify)

AI-Powered Platforms - Social media algorithms, content discovery systems, personalization engines

Conversational AI - Chatbots, customer service AI, shopping assistants

Why AIO Matters

Soon, AI won't just help people search. AI will:

Make purchasing decisions autonomously
Manage people's schedules and tasks
Handle customer service interactions
Create personalized experiences
Filter and curate content

If your brand isn't optimized for AI across all these systems, you'll miss opportunities.

The AIO Strategy

Consistent Brand Presence

AI systems learn from data across the entire web. Inconsistency confuses them.

Ensure consistency in:

Your brand name and spelling
Your core messaging
Your product descriptions
Your company information
Your contact details

Structured Product Data

For e-commerce, structured product data is crucial. Implement:

Product schema markup
Clear specifications and attributes
Consistent categorization
Detailed descriptions
Customer reviews and ratings

This helps AI understand your products and recommend them appropriately.

Conversational Content

As more interactions become conversational, your content needs to work in conversation.

Create content that:

Answers questions naturally
Works when read aloud
Makes sense in snippets
Flows conversationally

API and Integration Readiness

As AI systems integrate with more platforms, having APIs and integrations ready matters.

Consider:

Product APIs for shopping integrations
Content APIs for information retrieval
Booking/scheduling APIs for service businesses
Review APIs for reputation management

Learn more: Xponent21 - AI SEO and New Terms

AI SEO: The Umbrella Term That Covers Everything

AI SEO is the simplest way to describe all of this. It's traditional SEO evolved for the age of AI.

What AI SEO Means

AI SEO is search engine optimization that accounts for how AI systems retrieve, understand, and present information.

It includes:

Traditional SEO (ranking in Google)
GEO (being known by AI models)
AEO (being the answer AI provides)
LLMO (optimizing for how LLMs work)
AIO (broader AI optimization)

All in one integrated approach.

Why "AI SEO" is the Best Term

Here's why we prefer "AI SEO" over the other acronyms:

It's familiar. Everyone knows what SEO is. Adding "AI" makes it clear this is SEO for the AI era.

It's inclusive. It covers everything without getting lost in technical distinctions.

It's practical. You can explain it to your boss or clients without confusion.

It's accurate. It acknowledges that this is an evolution of SEO, not a replacement.

According to Backlinko's analysis, while GEO, AEO, and LLMO are growing in search volume, "AI SEO" is the term that's really taking off because it's the easiest to understand and explain.

The AI SEO Approach

AI SEO means:

Creating content that works everywhere - Your content should rank in Google AND be cited by ChatGPT AND appear in AI Overviews.

Building authority across platforms - Don't just focus on your website. Build presence on Reddit, YouTube, podcasts, forums, and industry publications.

Optimizing for both humans and AI - Good content helps both. You don't need to choose.

Measuring success holistically - Track traditional SEO metrics AND AI visibility metrics.

Staying adaptable - The AI landscape changes fast. Stay informed and be ready to adjust.

The Simple AI SEO Framework

Foundation - Build solid traditional SEO (technical, content, authority)
Expansion - Create comprehensive content that teaches AI about you
Optimization - Structure content for easy extraction and citation
Distribution - Share across multiple platforms where AI learns
Measurement - Track both traditional and AI visibility
Adaptation - Continuously improve based on results

This framework works for businesses of any size in any industry.

Learn more: Backlinko - SEO vs GEO Complete Guide

How SGE/AI Overviews Changed Search Forever

Google's SGE (Search Generative Experience), now called AI Overviews, represents the biggest change to search results in Google's history.

What is SGE?

SGE stands for Search Generative Experience. Google launched it in 2023 as an experimental AI-powered search feature. In 2024, they renamed it to "AI Overviews" and rolled it out globally.

Both terms mean the same thing: Google's AI-generated summaries that appear at the top of search results.

What Are AI Overviews?

Instead of just showing ten blue links, Google now generates AI-powered summaries that answer queries directly within the search results page.

Search for "how to start a podcast" and Google's AI writes a detailed answer right there. It pulls information from multiple sources and creates one comprehensive response.

The websites used as sources get small citation links within or below the AI answer. But many people get their answer from the AI and never click through.

When AI Overviews Appear

According to Google's announcement, AI Overviews appear for:

Complex questions with multiple parts
Queries that benefit from synthesized information
Topics where multiple perspectives are valuable
"How to" and instructional queries
Comparison and recommendation queries

They don't appear for:

Simple factual queries
Navigational searches (looking for a specific website)
Local searches
News and current events (usually)

The Impact on Website Traffic

Early data shows AI Overviews are reducing click-through rates for informational queries. When users get their answer directly in search results, many don't click through.

But the impact varies:

Informational queries - Significant traffic decrease (people get answers without clicking)

Transactional queries - Minimal impact (people still want to visit sites to make purchases)

Navigational queries - No impact (people are specifically looking for your site)

Branded queries - Minimal impact (people searching for your brand still visit)

How to Optimize for AI Overviews

The strategies overlap with GEO and AEO:

Create comprehensive content - Cover topics thoroughly, not superficially

Use clear structure - Headings, subheadings, bullet points, tables

Answer directly - Put the answer up front, then explain details

Build authority - Get quality backlinks from respected sources

Implement structured data - Use schema markup to help Google understand your content

Diversify content formats - Google's AI increasingly cites videos, forums, and podcasts

The Opportunity in AI Overviews

While AI Overviews present challenges for traffic, they create opportunities:

Massive credibility - Being cited in an AI Overview gives you enormous authority

Brand awareness - Even without clicks, people see your brand as an expert

Qualified traffic - When people do click, they're more informed and qualified

Competitive advantage - Most businesses aren't optimizing for this yet

Plus, Google announced in October 2025 that they're expanding ads within AI Overviews. This creates new paid visibility opportunities alongside AI-generated content.

Learn more: Search Engine Land - Google AI Overviews Expansion

The Know How Framework: Your Complete Strategy

At Know How Marketing Lab, we've developed a comprehensive framework for succeeding with AI SEO. We call it the Know How Optimization Framework.

It integrates SEO, GEO, AEO, LLMO, and AIO into one cohesive strategy. Learn more with us