GEO vs SEO (and AEO): The Real Differences and What to Do

AEO (Answer Engine Optimization) is a closely related term that's now used almost interchangeably with GEO.

They aren't rival disciplines. GEO stands on SEO: generative engines pull pages from search indexes, and a page that can't be crawled or indexed won't be cited. What changes is the goal, the number of engines, and above all how you measure success.

Comparison table: SEO vs AEO vs GEO

What AEO is and how it differs from GEO

AEO stands for Answer Engine Optimization. The term predates ChatGPT and was used for Google's featured snippets and voice assistants: writing so the search engine picks your text as the direct answer.

Now that AI assistants are everywhere, AEO and GEO describe the same work. Google lumps them together in its official guide to generative AI features in Search, as terms for improving visibility in AI search experiences. If there's a nuance, it's this: AEO focuses on answering a specific question well, while GEO also covers how models talk about your brand even when they don't link to you. In practice, whether someone pitches you "AEO" or "GEO," they're selling the same job¹.

Google's take: "it's still SEO"

Google's official position is clear. In the same guide it says that, from Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and therefore still SEO. AI Overviews and AI Mode are built on its core ranking systems, and to appear in them a page must be indexed and eligible to show with a snippet.

So for Google, good SEO is good GEO. But Google is one engine among several:

• ChatGPT searches with its own crawler, OAI-SearchBot.
• Copilot relies on Bing's index.
• Perplexity runs its own crawler, PerplexityBot.
• Claude has its own search crawler, Claude-SearchBot.

Each one crawls, indexes, and picks sources in its own way. A site that ranks well on Google can be missing from ChatGPT simply because its robots.txt blocks OAI-SearchBot. We cover this in our guide to AI crawlers and robots.txt.

What GEO shares with SEO

• Crawling and indexing. If the engine can't read the page, it can't cite it.
• Useful, original content. Google asks for "non-commodity" content based on real experience, and that works across every engine.
• Clear structure. Headings, short paragraphs, lists, and tables help both people and models.
• Authority. Trusted, well-linked sources have better odds in both worlds.
• Structured data. Not required for AI features (Google says so), but still worth having for SEO.

What actually changes

1. The goal is no longer a position. There's no "rank three" in an AI answer. There are mentions (your brand appears in the text) and citations (your page appears as a linked source). You can be mentioned without being cited, and vice versa.

2. Questions are longer. Google says AI Mode queries are on average three times longer than traditional searches, per its Q3 2026 earnings remarks. People ask with context: budget, city, industry, comparisons. Your content has to answer those specific questions².

3. The model expands the question. With query fan-out, the engine runs several related searches at once. A focused page can get pulled in through one of those searches even if it doesn't match the user's exact words.

4. Off-site mentions carry more weight. Generative engines read reviews, forums, comparison pages, and press to form a view of a brand. You can't shortcut this: Google warns that chasing inauthentic mentions doesn't help.

5. Measurement is different. Answers vary by day and by user. A single query tells you nothing; you need to rerun a fixed list of questions and look at trends. Google now shows AI Overviews and AI Mode impressions in Search Console, and Bing offers a Copilot citations report. More in how to measure AI visibility.

An example: the same need, seen through SEO and GEO

Picture a dental clinic in Denver. With SEO, the goal would be to rank for "dentist Denver" and track position and clicks. With GEO, the real question is longer: "which dental clinic in Denver has good reviews, offers financing for implants, and is open on Saturdays?"

For an AI engine to answer with that clinic, it needs to find those facts stated clearly and verifiably: financing terms on the website, up-to-date opening hours, reviews on sites the engine reads, and ideally mentions in local press. A homepage optimized for "dentist Denver" isn't enough. SEO is still the foundation; GEO adds the layer of specific facts and off-site presence.

How to split the work

You don't need a new team or a new strategy from scratch. A sensible split:

Common mistakes

• Treating GEO as a new hack. Files like llms.txt or rewriting everything "for AI" don't replace good content. Google says outright that its Search ignores llms.txt. More in our llms.txt guide.
• Measuring with one question and a screenshot. Tomorrow's answer will be different.
• Only watching Google. If your customers ask ChatGPT, you need to know what ChatGPT says.
• Blocking every AI crawler out of fear of training. You can block training and still allow search; they're separate crawlers.

Next step

Want to know what a page is missing for AI engines? Run it through our free GEO audit. And if you want to approach GEO with a method, the GEO Plus Academy course takes you from concepts to practice in short lessons, each with a hands-on task, plus a tool that checks every week whether AI engines cite you. The first two lessons are free.