AEO vs GEO vs LLMO — definitive reference (2026)

Three new SEO disciplines explained: Answer Engine Optimization, Generative Engine Optimization, Large Language Model Optimization. Definitions, differences, when to use each.

The full interactive version of this page is at https://aiseoengine.space/knowledge/aeo-geo-llmo. This static version is optimized for AI crawlers (GPTBot, ClaudeBot, PerplexityBot).

AEO — Answer Engine Optimization

Optimization for being chosen as the answer by conversational engines: ChatGPT, Claude, Alexa, Siri, Google Assistant. Focus: clear question-answer structure, FAQPage schema, atomic facts, definitions. Origin: ~2019.

GEO — Generative Engine Optimization

Optimization for generative search engines that synthesize answers: Google AI Overviews, Perplexity, ChatGPT Search, Bing Copilot. Focus: cite-worthy passages, statistics, quotes, source authority. Term coined by Princeton 2023.

LLMO — Large Language Model Optimization

Holistic strategy for optimizing for specific language models: GPT-5, Claude, Gemini. Includes training-data presence (be in CCBot dataset), real-time fetch (allow ChatGPT-User), brand mention frequency in training corpus. Most strategic of the three.

How they overlap and differ

AEO is tactical (page-level structure). GEO is technical (be retrievable and citable). LLMO is strategic (be in the model's worldview). All three share: schema.org, E-E-A-T, fresh content, allowed AI bots. Differ in: AEO targets short answers, GEO targets cited passages, LLMO targets brand recognition in model weights.

Which one should you focus on?

Start with AEO (immediate ROI: 2-8 weeks). Layer GEO (3-6 months). LLMO is long-term (6+ months) but compounds — being mentioned often in training corpus means you're recommended even without retrieval.

Frequently Asked Questions

Is AEO the same as GEO?

No. AEO targets being the answer (often short, conversational engines). GEO targets being the cited source in synthesized answers (Perplexity, AI Overviews). They overlap on schema and clarity but differ in optimization tactics.

What is LLMO short for?

Large Language Model Optimization — strategy for being represented favorably in the model's training data and inference path.

Which acronym will win?

Industry currently uses all three. GEO is most academic (Princeton paper). AEO is oldest and most search-marketer-friendly. LLMO is most strategic. Likely all coexist; AI SEO is the umbrella term.