AEO vs. GEO vs. AI SEO: what’s the difference?
Answer engine optimization, generative engine optimization, LLM SEO, AI SEO, AI Visibility Optimization. Here is what each term means, where they overlap, and what actually matters for your business.
Short answer: they are overlapping names for the same goal, getting your business understood, trusted, and recommended by AI platforms like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. The labels differ mostly in where they came from, not in the work.
The terms side by side
| Term | Focus | Typical emphasis |
|---|---|---|
| AEO | Direct answers | Question-and-answer structure, FAQs, concise definitions |
| GEO | Generative AI answers | Being a trusted, citable source; authority and specificity |
| LLM SEO | Large language models | Entity clarity, crawler access, parseable content |
| AI SEO | AI-powered search, broadly | The everyday name for all of the above |
| AI Visibility Optimization | The business outcome | All of the above, measured by whether AI recommends you |
Definitions
AI Visibility Optimization
AIVOThe umbrella practice of helping AI platforms understand, trust, and recommend a business. It covers everything below: technical SEO, structured data, entity work, authorship, answer-ready content, and testing how AI platforms actually respond.
Answer Engine Optimization
AEOOptimizing content so “answer engines” (voice assistants, featured snippets, and now AI assistants) can lift a direct answer from your page. AEO emphasizes clear questions and answers, FAQ structure, and concise definitions.
Generative Engine Optimization
GEOOptimizing for generative AI search, where a large language model writes an answer from several sources. GEO emphasizes being a source the model trusts enough to cite: authority, specificity, citations, and consistent facts across the web.
LLM SEO / LLM Optimization
LLMOOptimizing for large language models such as GPT, Gemini, and Claude, both what they learn in training and what they retrieve live. LLM SEO focuses on entity clarity, crawler access, and content models can parse and quote.
AI SEO
AI search optimizationThe most common plain-English name for all of the above. Sometimes it also means using AI tools to do SEO; at AIVX it means optimizing for AI-powered search.
Google AI Overviews
The AI-written summaries at the top of many Google results. They draw on pages Google already indexes, so strong traditional SEO plus clear, well-structured answers improves eligibility.
Entity
A distinct, identifiable thing, such as a business, person, place, or service, that search engines and AI models track. Entity optimization makes sure every source describes your business the same way, so AI is confident it knows who you are.
Structured data (schema markup)
Machine-readable labels, usually JSON-LD using the schema.org vocabulary, that state facts about a page explicitly: this is an Organization, this Person wrote it, this is a Service offered in these areas. It must match what the page visibly says.
E-E-A-T
Experience, Expertise, Authoritativeness, TrustGoogle’s framework for judging content quality. AI platforms reward the same signals: real authors with real credentials, first-hand experience, and accurate, sourced information.
llms.txt
A proposed plain-text file at the root of a website that gives AI systems a short, curated summary of the site and links to its most important pages.
AI crawlers
The bots AI companies use to read the web, such as OAI-SearchBot and GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, and Google-Extended. If robots.txt or a firewall blocks them, AI platforms may not be able to read or cite your site.
Citation
When an AI answer links to or names your page as a source. Citations are the clearest measurable sign that an AI platform trusts your content.
AI Visibility Score™
AIVX’s proprietary 0–100 measure of a website’s readiness for AI search across seven categories: metadata, structured data, expertise signals, entity recognition, service architecture, FAQ coverage, and AI discoverability.
What actually matters
Whatever you call it, the work that moves AI recommendations is the same:
- Be readable. Let AI crawlers in, keep pages fast and server-rendered, and publish a sitemap and llms.txt.
- Be explicit. Use structured data that matches the page: who you are, what you offer, where, and for whom.
- Be credible. Name real experts, show credentials and experience, and keep your facts consistent across the web.
- Be the answer. Write direct, specific answers to the questions your customers ask.
- Test it. Ask the AI platforms your customers’ real questions, before and after.
That is the AIVX AI Visibility Framework™. See it applied in our B-Line Capital case study, or see programs for your industry.
Glossary questions
Are AEO and GEO the same thing?+
What is the difference between AI SEO and traditional SEO?+
Which term should I use?+
Does Google penalize AI SEO?+
Find out how visible you are in AI search.
An AI Visibility Audit™ shows your score, how competitors appear, and what to fix first.