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Is AEO the Same as GEO?

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) describe overlapping but not identical practices. GEO specifically targets generative engines — ChatGPT, Perplexity, Gemini, Claude — that synthesize answers with LLMs. AEO is the older, broader term that also covers non-generative answer surfaces like featured snippets and voice assistants. In 2026 usage, the two are near-synonyms, with GEO winning adoption.

Where the two terms come from

AEO predates the ChatGPT era. It emerged around 2016-2019 to describe optimizing for Google featured snippets, "People Also Ask" boxes, and voice assistants like Alexa and Siri — surfaces that extract one answer instead of listing ten links. GEO has a precise birthdate: the paper "GEO: Generative Engine Optimization" by Aggarwal et al., first posted in late 2023 and presented at KDD 2024, which coined the term and measured which tactics lift visibility in AI-generated answers.

What actually differs in practice

The day-to-day work overlaps by perhaps 80%: both demand answer-first writing, question-shaped headings, structured data, and extractable passages. The differences sit at the edges of scope.

DimensionAEOGEO
Target surfacesFeatured snippets, PAA, voice assistants, AI answersLLM-based engines only (ChatGPT, Perplexity, Gemini, Claude, Copilot)
Core mechanismAnswer extraction from ranked resultsRetrieval-augmented generation (RAG) plus model training data
Key artifactsSnippet-optimized paragraphs, FAQ schemaCitations, statistics, quotations, llms.txt, AI-crawler access
MeasurementSERP feature trackingPrompt-based AI visibility tracking and citation share
OriginIndustry usage, ~2016-2019Aggarwal et al., KDD 2024

Which term should you use?

Follow your audience. Search behavior and vendor positioning have consolidated around GEO for LLM-era work, and the academic literature uses GEO exclusively. AEO remains the better label when your program genuinely includes featured snippets and voice — surfaces GEO's definition doesn't cover. What matters more than the label is that the deliverables target retrieval: the GEO paper found that adding citations, statistics, and quotations lifted generative visibility 30-40%, while classic keyword stuffing did nothing.

The pragmatic answer

Treat them as one discipline with two entry points. Define both terms once on your site — a glossary works well — then standardize internally on one. Splitting your strategy, team, or reporting between "AEO work" and "GEO work" creates artificial silos for what is a single content-and-technical practice.

Frequently asked questions

Should I say AEO or GEO in client proposals?
Use GEO when the scope is LLM-driven engines like ChatGPT, Perplexity, and Gemini. Use AEO if the engagement also covers featured snippets and voice assistants. Many agencies now write "GEO/AEO" once, then pick one term for the rest of the document.
Is LLM SEO another name for the same thing?
Mostly, yes. LLM SEO, AI SEO, and generative search optimization all describe optimizing for AI-generated answers. GEO is the term with academic backing, coming from the Aggarwal et al. paper presented at KDD 2024.

Keep exploring

See how AI engines talk about your brand — track mentions across ChatGPT, Perplexity, Claude, Gemini and 5 more. Start with Menra