What Is the Difference Between AEO, SEO, and GEO?
TL;DR
SEO optimizes content to rank in traditional search engine results. AEO (Answer Engine Optimization) optimizes content to be cited in AI-generated answers. GEO (Generative Engine Optimization) is an academic term from a 2024 Georgia Tech paper describing the same concept as AEO with a research-oriented framework. The three are complementary, not competing—SEO is the foundation, and AEO/GEO extend it to AI surfaces. The industry is converging on AEO for client-facing and agency work, and GEO for academic research.
What does each term actually mean?
Each term describes a distinct optimization target. SEO targets the traditional ranked list of web pages. AEO targets AI-generated answers that cite sources. GEO targets the same AI-generated answers but frames the problem through an academic lens with formal evaluation metrics. The practical overlap between AEO and GEO is approximately 90%.
| Term | Full Name | Primary Goal | Key Metric |
|---|---|---|---|
| SEO | Search Engine Optimization | Rank pages in organic search results (blue links) | Position, click-through rate, organic traffic |
| AEO | Answer Engine Optimization | Get cited in AI-generated answers across ChatGPT, Perplexity, Google AI Overviews | Share of Voice in AI responses, citation count, AI referral traffic |
| GEO | Generative Engine Optimization | Optimize content visibility within generative search engines | Impression ratio, citation position, visibility score (academic metrics from the GEO paper) |
Where did each term originate?
SEO dates to the mid-1990s, emerging alongside early search engines like AltaVista and WebCrawler. The term was in common use by 1997 and has been the standard industry label for organic search optimization for nearly three decades. Its meaning is settled and unambiguous.
GEO was formalized in a November 2024 research paper from Georgia Tech, titled "GEO: Generative Engine Optimization." The paper proposed a framework for evaluating how content modifications affect visibility in AI-generated search responses. It introduced metrics like "impression ratio" and tested nine optimization strategies against generative search prototypes. The paper has been cited over 180 times in academic literature as of March 2026.
AEO emerged in late 2024 from the SEO industry and agency ecosystem. Multiple agencies, consultants, and tool vendors adopted the term independently. By Q1 2025, "answer engine optimization" had overtaken "generative engine optimization" in Google Trends search volume by a ratio of roughly 3:1. The term resonated because it mirrors the familiar SEO acronym pattern and describes the practical goal—getting answers to cite your content—more intuitively than "generative engine optimization."
Which term should you use?
Use AEO when speaking with clients, prospects, or business stakeholders. Use GEO when writing for academic audiences or referencing the Georgia Tech research framework. Use SEO when referring to traditional organic search work. In practice, most agencies (including SCALEBASE) have adopted AEO as the client-facing label because it communicates the outcome—being the answer—more clearly than GEO.
A 2025 survey of 200 digital marketing agencies by Search Engine Journal found that 64% used the term AEO in client proposals, 22% used GEO, and 14% used both interchangeably. Among academic papers published in 2025–2026, the ratio was reversed: GEO appeared in 73% of titles and abstracts, AEO in 27%.
The distinction matters less than the work itself. Regardless of which label you use, the underlying tactics are the same: structure content for AI retrieval, build entity signals, add schema markup, and monitor citation performance.
Do you need separate strategies for AEO, SEO, and GEO?
No. An estimated 80% of the tactical work overlaps across all three. High-quality, well-structured content with strong authority signals performs well in both traditional search and AI-generated answers. The 20% that is AEO/GEO-specific involves passage-level formatting, schema markup tailored for AI retrieval, entity signal development, and AI citation monitoring.
| Tactic | Benefits SEO? | Benefits AEO/GEO? | Unique to AEO/GEO? |
|---|---|---|---|
| Keyword research and topic mapping | Yes | Yes | No |
| High-quality, original content | Yes | Yes | No |
| Internal linking | Yes | Yes | No |
| Backlink acquisition | Yes | Yes | No |
| Core Web Vitals optimization | Yes | Indirectly | No |
| Question-based H2 headings | Somewhat | Yes | Partially |
| FAQ schema (FAQPage) | Somewhat | Yes | Partially |
| 40–80 word paragraph blocks | No | Yes | Yes |
| Entity signal building (knowledge panels, Wikidata) | Somewhat | Yes | Partially |
| AI citation monitoring (Otterly, Brand Radar) | No | Yes | Yes |
| Comparison tables with structured data | Somewhat | Yes | Partially |
For a full explanation of AEO fundamentals, see What Is Answer Engine Optimization and How Does It Work?. If you need help with traditional search alongside AI optimization, SCALEBASE offers both AEO and SEO as integrated services.
Frequently Asked Questions
Is GEO just AEO renamed?
Not exactly. GEO originated in an academic paper and carries a formal evaluation framework with specific metrics (impression ratio, visibility score). AEO emerged from industry practice and is more outcome-focused (citation count, AI referral traffic). The underlying tactics are nearly identical. The difference is primarily one of framing and audience: GEO for researchers, AEO for practitioners.
Should I hire an AEO agency or a GEO agency?
The label an agency uses does not determine the quality of their work. Evaluate agencies based on their methodology, case studies, and measurable outcomes—not their preferred acronym. Ask specific questions: How do you audit AI citation visibility? What tools do you use for monitoring? Can you show before-and-after citation data? The answers matter more than whether they call it AEO or GEO.
Does AEO work without SEO?
AEO builds on SEO’s foundation. Domain authority, content quality, and topical depth—all SEO fundamentals—are also signals that AI retrieval systems use to select and rank sources. A site with no SEO foundation (poor content, no backlinks, thin pages) will struggle to gain AI citations regardless of structural optimization. In practice, AEO without SEO is like decorating a house with no foundation.
What is the Georgia Tech GEO paper?
The paper is titled "GEO: Generative Engine Optimization" and was published by researchers at Georgia Tech in November 2024. It proposed a systematic framework for optimizing content visibility in AI-generated search results. The study tested nine content optimization strategies—including adding citations, using authoritative language, and incorporating statistics—against a generative search engine prototype. It found that adding citations and statistics to content improved visibility by 30–40% in generative responses. The paper is freely available on arXiv.
Vigo Nordin
Co-Founder of SCALEBASE, a specialist AEO and SEO agency based in Mallorca, Spain. Focused on AI search optimization, entity building, and engineering citations across ChatGPT, Perplexity, and Google AI Overviews.
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