Is GEO the same as AEO?

Almost. GEO (generative engine optimization) is the umbrella term most practitioners now use; AEO (answer engine optimization) was the earlier name for roughly the same thing. If someone uses them interchangeably in 2026, they're usually right. The minor distinction: AEO sometimes refers specifically to ChatGPT / Perplexity / Claude-style answer engines, while GEO usually includes Google's AI Overview as well.

Is SGE still a thing?

No. SGE (Search Generative Experience) was Google's name for the AI-answer feature during its experimental phase (2023-2024). When Google graduated it to a permanent feature in 2024, they rebranded it to AI Overview (AIO). Anyone still using 'SGE' in 2026 is either using outdated content or naming the historical experiment. The current term is AIO.

What's the difference between SEO and AI search optimization?

Classical SEO targets Google's blue-link results (and Bing's). AI search optimization (GEO / AEO) targets the citation behavior of AI answer engines — ChatGPT, Google AI Overview, Gemini, Claude, Perplexity. The mechanics are partially overlapping (good SEO content can also be cited by AI) but the ranking signals differ. Our audit data shows up to 40-percentage-point gaps between what classical SEO favors and what AI engines actually cite.

Does Google's official statement say GEO is just SEO?

Sort of. In May 2026 Google publicly said 'AEO and GEO are still SEO' — a comment widely shared in marketing circles. The honest read: Google is technically correct for content optimization on Google AIO specifically (same crawl, similar signals), but the claim doesn't hold across the other 4 AI search platforms, each of which has its own citation pipeline. We wrote about the discrepancy in detail here.

Which terms should I actually use in 2026?

Use GEO as the umbrella for any AI-search optimization work. Use AIO when you specifically mean Google's AI Overview. Skip SGE entirely (it's the dead Google term). Use SEO for classical Google blue-link work. AEO and LLM SEO are acceptable synonyms for GEO but less common in professional usage now. The platform-specific names (ChatGPT optimization, Perplexity optimization) are emerging but not yet standard.

Where can I learn the difference in practice?

Run the same query on all 5 major AI platforms (ChatGPT, Google AI Overview via Google search, Gemini, Claude with browsing, Perplexity) and compare what surfaces. Within 10 minutes you'll see why each platform behaves differently — different retrieval, different citation behavior, different brand surface rates. That's the entire point of why GEO exists as a separate discipline from SEO.

GEO vs AEO vs AIO vs SGE: A Plain-English Glossary for 2026

The AI-search alphabet soup is mostly the same idea in different industry hats. Plain-English definitions plus the one distinction that actually matters.

By Ravi · May 27, 2026 · Updated May 27, 2026 · 7 min read

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Marketing teams now routinely encounter five terms used interchangeably (and incorrectly) in the AI search space: SEO, AIO, SGE, AEO, and GEO. Most are the same idea wearing different industry hats. A few mean something genuinely different. One is already dead.

Here is the plain-English glossary, with the one distinction that actually matters at the bottom.

TL;DR

Term	What it is	Status in 2026
SEO	Optimizing for traditional search engines (Google blue links, Bing)	Still ~70% of organic traffic for most businesses
AIO	Optimizing for Google’s AI Overview feature	Live, growing, increasingly important
SGE	Google’s old name for AIO during the experimental phase	Dead term — Google renamed it AI Overview in 2024
AEO	Answer engine optimization — getting cited by ChatGPT / Perplexity / Claude	Active, narrower than GEO
GEO	Generative engine optimization — the umbrella covering AIO + AEO + LLM citation work	Current professional usage
LLM SEO / AI SEO	Marketing-speak synonyms for GEO	Acceptable but less professional

Why this is confusing

Three industries (search, marketing tech, AI tooling) started inventing terminology for the same underlying phenomenon at the same time. Each industry had its own incumbents promoting their preferred term. Google pushed SGE then AIO. Marketing agencies pushed AEO. AI-tooling startups pushed GEO. Nobody owned the category, so the terms multiplied.

The good news: by mid-2026 the field is converging on a smaller set. GEO is becoming the umbrella term professionals use; the platform-specific names (AIO for Google, “ChatGPT optimization” for ChatGPT) are emerging where the practitioner needs to specify.

Below is each term explained as briefly as possible.

SEO (the baseline)

Search Engine Optimization. The original, oldest term. Means optimizing your content and technical setup so that traditional search engines (Google, Bing, DuckDuckGo) rank your pages well in the blue-link results.

Practitioners spent the last 25 years building this discipline. The core mechanics — content relevance, technical SEO (page speed, clean HTML, schema, internal linking), backlinks, brand authority — all still matter.

What changed in 2024-26: SEO is no longer the only game. AI search engines now consume a significant fraction of buyer-intent search behavior. They have their own ranking signals. SEO best practices are 70-80% transferable to AI search but not 100%. The remaining 20-30% gap is what GEO covers.

AIO — Google AI Overviews

Google’s AI-generated answer that appears at the top of search results for many queries. Launched as SGE in 2023, renamed AI Overview in 2024, now a permanent feature of Google search.

AIO pulls citations from Google’s indexed web (the same crawl as classical SEO) but uses different ranking signals than blue-link results. A page can rank #1 in blue links and still be invisible in AIO citations. A page can be cited heavily in AIO and not rank in the top 10 organic results.

Optimizing for AIO specifically: clean schema, FAQPage markup, answer-shaped content (questions stated explicitly, then answered concisely), strong entity SEO (your brand recognized as an entity), and presence on the aggregator + third-party sources that AIO frequently cites.

AIO is one specific platform within the broader GEO discipline. When practitioners say “AI search optimization” they often mean AIO specifically because Google’s traffic share dwarfs the other AI platforms today.

SGE — the dead term

Search Generative Experience. Google’s experimental name for AIO during 2023-2024. When Google made the feature permanent in 2024, they rebranded to AI Overview.

If you see SGE in 2026 content, the content is either pre-2024 or written by someone who didn’t update their vocabulary. Don’t use it. Use AIO.

AEO — Answer Engine Optimization

Optimizing your content to be cited by AI answer engines (ChatGPT, Perplexity, Claude with browsing). Coined around 2023 by marketing agencies looking for a category name that wasn’t tied to Google.

AEO is narrower than GEO in common usage: most practitioners use AEO specifically for the answer-engine-style platforms (ChatGPT, Perplexity, Claude), and GEO as the umbrella that includes AIO + AEO together.

The mechanics: schema markup, brand authority signals, presence on the third-party sources LLMs are trained on (Reddit, Wikipedia, major publications, aggregators). Same as GEO, just with a slightly different historical lineage.

GEO — Generative Engine Optimization

The umbrella term for optimizing any content to be cited by any generative AI search platform. Includes AIO + AEO + future AI search interfaces. Coined around 2024, adopted broadly by 2025-26.

GEO is what most professionals use as the default category name today. It’s broader than AEO (includes Google AIO) and broader than AIO (includes the non-Google platforms). When someone says “we’re doing GEO work” in 2026, they generally mean a comprehensive AI search visibility program across the major platforms.

LLM SEO / AI SEO

Marketing-speak synonyms for GEO. Equally correct, less common in professional usage. “LLM SEO” emphasizes that the optimization targets large language model retrieval. “AI SEO” is the broadest possible framing.

Both terms are used interchangeably with GEO in casual conversation. In professional documents, GEO is increasingly the standard.

The one practical distinction that actually matters

Forget the alphabet soup for a moment. The distinction that drives every meaningful optimization decision is this:

SEO targets Google’s blue-link crawler. GEO targets a multi-platform citation graph that’s only partly powered by Google’s crawler.

That difference creates real, measurable gaps. In our 25-brand audit across the 5 major AI search platforms, we measured surface-rate gaps of up to 40 percentage points between branded vs unbranded queries, and per-brand gaps of up to 80 percentage points between AIO and ChatGPT for the same brand on the same query.

Translation: the same content can rank perfectly in Google blue links, get cited in AIO, and be completely invisible to ChatGPT. Or vice versa. Each AI search platform behaves differently, and SEO best practices alone don’t cover any of them fully.

That’s why GEO exists as a separate discipline. It’s not a rebrand of SEO. It’s the additional optimization work needed to be cited across the 4-5 AI search platforms that Google’s classical crawler doesn’t fully serve.

What to optimize for first

If you’re starting GEO work and don’t know which platform to prioritize, the data-backed answer is:

Google AI Overview (AIO) first. Highest US traffic volume of any AI search surface. Your existing SEO investment partially transfers. Focus on FAQPage schema, entity SEO, and answer-shaped content. Read Google’s official AEO guidance and our breakdown of what Google’s May 2026 guidance actually changed.
ChatGPT second. Largest pure-AI-search audience by user count. Citation behavior differs from AIO. Long-form earned content (substantive blog posts, deep reviews, Reddit discussion presence) carries more weight than short SEO-flavored content.
Perplexity third. Smaller audience but higher conversion (users actively researching). Favors structured, well-cited content that looks like Wikipedia in shape.
Gemini fourth. Increasingly aligned with AIO since it’s the same Google ecosystem. Optimizing for AIO often improves Gemini surface as a side effect.
Claude with browsing fifth. Newest and most volatile. Citation behavior changes weekly as Anthropic iterates the feature.

The honest read: most teams don’t have the bandwidth to optimize for all 5 simultaneously. Pick the top 2 your buyers actually use, measure your current surface rate per platform, and prioritize the platform where the gap between your blue-link rank and your AI citation rate is largest. That’s the biggest free win available.

What’s next

The full data behind these claims: The Indian AI Search Audit (May 2026) — 25 brands, 500 queries, 777 citations.
Why the 5 AI search platforms behave so differently from each other: The Four-Index Reality.
Google’s official position on AI search in May 2026 vs what holds up across other platforms: GEO vs SEO in 2026 — What Google’s May Guidance Changed.
An honest comparison of the AI search visibility tools you can buy: AI Search Visibility Tools: Honest Comparison From a Builder.

If the alphabet soup is keeping your team from acting, just pick GEO as your working term, start measuring on the 2 platforms your buyers use most, and let the terminology debate continue in the background. The decisions you make from real per-platform data will matter more than the labels.