AEO Guide

AEO vs SEO: what's the difference and why it matters in 2026

Stefan Jokovic
November 10, 2024
6 min read
SEO vs AEO Comparison - Understanding the key differences between Search Engine Optimization and Answer Engine Optimization

The search landscape is undergoing its most dramatic transformation since Google's inception. While traditional SEO focuses on ranking high in search engine results pages (SERPs), a new discipline called Answer Engine Optimization (AEO) is emerging to address the growing influence of AI-powered search platforms.

Understanding the difference between SEO and AEO—and why you need both—is crucial for any business that wants to maintain visibility in the evolving search ecosystem.

The search landscape is changing

Traditional search behavior is shifting rapidly. Here's what the data shows:

AI Search Adoption is Exploding

Over 50% of searches now include AI-generated summaries or answers. Platforms like ChatGPT, Perplexity, and Google's AI Overviews are changing how people find information.

Citation-Based Discovery

AI platforms don't just rank websites—they cite them as sources within comprehensive answers. Being cited in an AI response can drive high-intent traffic to your website.

Context-Rich Queries

Users are asking more complex, conversational questions rather than keyword-focused searches. "What are the best SEO strategies for e-commerce in 2026?" instead of "SEO e-commerce 2026."

Multi-Platform Search

People search across Google, ChatGPT, Perplexity, Claude, and other AI platforms. Optimizing for just one platform means missing significant portions of your audience.

Expert Insight

"By 2028, 75% of searches will include AI-generated answers. Optimizing only for Google means missing half your potential customers."

— Stefan Jokovic, CEO of OmniGanic

How AEO differs from traditional SEO

While SEO and AEO share some fundamentals, they require different approaches and optimizations:

SEO: Ranking for Keywords

Traditional SEO focuses on ranking high for specific keywords in search engine results. Success is measured by position in SERPs, click-through rates, and organic traffic volume.

Content Structure:

Optimizes for specific keyword density, title tags, and meta descriptions

Technical Implementation:

Focuses on traditional schema markup, internal linking, and page speed

Content Approach:

Keyword-focused content designed to match search queries

AEO: Being Cited as a Source

AEO focuses on becoming a trusted source that AI platforms cite when generating answers. Success is measured by citation frequency, source attribution, and the quality of referral traffic.

Content Structure:

Optimizes for comprehensive, accurate answers to specific questions

Technical Implementation:

Emphasizes structured data that AI can easily parse and understand

Content Approach:

Comprehensive, factual content that answers questions thoroughly

Why both matter in 2026

The key insight is that SEO and AEO aren't competing strategies—they're complementary approaches that together maximize your search visibility across all platforms.

Google Still Dominates Traditional Search

While AI search is growing rapidly, Google still processes billions of traditional searches daily. Ignoring SEO means missing massive traffic opportunities.

AI Platforms Drive High-Intent Traffic

Users who find your content through AI citations tend to be further along in their buying journey. They're looking for specific solutions, not just information.

Cross-Platform Visibility Compounds

Being visible in both traditional search results and AI citations creates multiple touchpoints with potential customers, building trust and authority.

Future-Proofing Your Strategy

The search landscape will continue evolving. A dual SEO/AEO approach ensures you're positioned for whatever changes come next.

Getting started with SEO and AEO

Here's how to implement a comprehensive search optimization strategy:

1Audit Your Current Performance

Analyze your visibility across both traditional search engines and AI platforms. Track where your content appears and how it's being cited.

2Optimize Content Structure

Create content that serves both SEO and AEO purposes. Use clear headings, bullet points, and structured data that both search engines and AI can understand.

3Implement Comprehensive Schema Markup

Schema markup is crucial for both SEO and AEO. It helps search engines understand your content and makes it easier for AI platforms to cite your information accurately.

4Focus on Question-Based Content

Create content that directly answers common questions in your industry. Use FAQ sections, how-to guides, and comprehensive topic coverage.

5Monitor Multi-Platform Performance

Track your performance across Google, ChatGPT, Perplexity, and other AI platforms. Adjust your strategy based on where you're seeing the best results.

6Maintain Content Accuracy

AI platforms prioritize accurate, up-to-date information. Regular content audits and updates are essential for maintaining citation frequency.

The businesses that understand and implement both SEO and AEO strategies now will have a significant competitive advantage as the search landscape continues to evolve.

This isn't about choosing between old and new—it's about embracing a comprehensive approach that maximizes your visibility wherever your customers are searching.

Frequently asked questions

Should I focus on SEO or AEO first?

Start with a foundation of good SEO practices, then layer in AEO optimizations. Many AEO techniques build on existing SEO fundamentals, so you don't need to choose one or the other.

How do I track AEO performance?

Monitor citations across AI platforms, track referral traffic from AI sources, and use tools that can identify when your content is being referenced in AI-generated answers.

Is AEO just a trend, or is it here to stay?

AEO represents a fundamental shift in how people access information. As AI platforms become more sophisticated and widely adopted, AEO will become as important as traditional SEO.