What Is SEO for AI Called? GEO, AEO, and the Fundamentals Behind Both

Somebody at a conference in 2025 decided the old rules needed a new name, and now every newsletter in your inbox is arguing about whether it is GEO, AEO, or just SEO with extra steps. If you run your own site, the terminology fight matters less than knowing what actually works, so here is the plain answer to what is SEO for AI called, plus the fundamentals underneath it that have not changed.

Key Takeaways

• The most common term is GEO, short for Generative Engine Optimization, though AEO and AI SEO show up too.
• None of these are separate disciplines from SEO; they are the same craft aimed at a new kind of results page, a distinction covered in more depth in SEO vs GEO: what each term means and why your site needs both.
• The four classic types of SEO (technical, on-page, off-page, local) still form the foundation AI visibility is built on.
• Technical SEO now includes decisions about crawler access, structured data, and files like llms.txt.
• Chasing a trendy acronym matters less than fixing crawlability, content clarity, and site trust.

So What Is SEO for AI Actually Called?

The most widely used name is GEO, Generative Engine Optimization, which describes optimizing content so tools like ChatGPT, Perplexity, and Google's AI Overviews will cite or summarize it. You will also hear AEO thrown around as a near-synonym, and marketers occasionally reach for "AI SEO" or "LLM SEO" as catch-all labels. None of it describes a new discipline. It describes SEO doing its job on a results page that now talks back instead of just listing links.

Adoption of the practice is still uneven, which tells you something about how early this all is. Only 20% of marketing teams have started implementing it according to one industry survey](https://riseatseven.com/blog/aeo-ai-search-statistics/), meaning most sites still have room to get ahead simply by taking the fundamentals seriously, since even the best AI search optimization tools only measure part of that progress.

GEO gets used as the broad umbrella term. It covers anything aimed at getting your content pulled into a generated answer, whether that answer comes from a chatbot or a search engine's AI summary.

AEO tends to get used when someone wants to emphasize the "answer" part specifically. Think of a page structured to directly resolve a single question, the kind of content that used to win a featured snippet and now wins an AI citation instead.

AI SEO and LLM SEO are looser terms you will see in agency pitch decks. They are not standardized, and nobody should treat them as if they carry a fixed technical definition. When you see one, read it as shorthand for "SEO, but we are talking about the AI surfaces specifically."

The honest takeaway: pick whichever term your audience recognizes and move on. The acronym war is mostly a branding exercise for people selling services, like the wave of new generative engine optimization courses promising a shortcut, not a signal that the underlying work has changed shape.

What Is SEO, in Plain Terms?

SEO is the ongoing practice of making a website easy for search engines, and now AI systems, to find, understand, and recommend. It spans everything from how fast your server responds to the words on the page to who links to your domain from elsewhere. The goal has never changed: match what a searcher wants with a page that clearly deserves to be shown.

That last part is worth sitting with. Whether the surface is ten blue links or a single generated paragraph, the underlying question a machine is trying to answer is the same one it has always asked: does this page actually deserve to be surfaced for this query? Everything else, every tactic, every acronym, is downstream of answering that question honestly.

If you have been doing SEO well for years, you are not starting over. You are extending work you already know how to do into a couple of new formats.

What Are the Four Types of SEO?

The four types of SEO are technical, on-page, off-page, and local, and they cover, respectively, whether a site can be crawled and rendered, whether the content on a page answers the query, whether outside signals vouch for the site's credibility, and whether location-based intent is served correctly. Every AI visibility tactic you will read about slots into one of these four buckets.

Technical SEO is the plumbing: site speed, mobile usability, crawl budget, structured data, and whether search engines and AI crawlers can actually reach and parse your pages in the first place.

On-page SEO is what lives on a given page: titles, headers, internal links, and whether the copy genuinely answers what someone searched for.

Off-page SEO is what the rest of the internet says about you: backlinks, brand mentions, the credibility signals you cannot fake from inside your own CMS.

Local SEO covers location-based searches, business listings, and map results, which matters if your site is tied to a physical service area, a storefront, or a region you serve.

None of these four categories is optional if you want AI systems to notice you. They are the same four categories that mattered in 2015, they are just now being read by a wider range of machines.

Where Does Technical SEO Fit Into the AI Picture?

Technical SEO decides whether an AI crawler can reach your content at all, before anything about quality or relevance even enters the conversation. Robots.txt rules, server-side rendering choices, site speed, and structured data all determine whether a bot can see your page clearly enough to summarize it. Get the plumbing wrong and none of your writing matters.

Structured data (schema markup) helps both traditional search engines and AI systems parse what a page is actually about. This matters more, not less, when a machine is summarizing your content rather than simply linking to it. A recipe page with proper schema tells a crawler exactly what the ingredients, steps, and cook time are, instead of making it guess from prose.

llms.txt is the newer piece of the puzzle: a proposed file that tells AI crawlers which content on a site is meant for them to reference, one small piece of building the best crawler policy for websites in the AI crawler era. It is worth knowing about, but adoption and support vary by platform, so treat it as an experiment rather than a foundation.

None of this replaces the basics. A slow, broken, or unindexed site will not get cited by an AI answer engine any more than it will rank in classic search. The stakes for getting the fundamentals right may even be rising: in places where AI Overviews appear, they reduce click-through rate for the top-ranking page by up to 58%](https://writer.com/blog/geo-aeo-optimization/), which means the pages that do get cited matter more, not less, than they used to.

Website SEO Best Practices That Work for Both Search and AI Answers

The practices that earn you an AI citation are, almost without exception, the same practices that earn you a strong organic ranking. There is no separate playbook, just a sharper version of the one you already have.

Put a direct, specific answer near the top of the page, since both search snippets and AI summaries favor extractable answers over content buried under three paragraphs of preamble. Keep the site fast and stable: crawlers of every kind, human-driven or AI-driven, abandon slow or error-prone pages before they ever reach your best writing. Use clear headings and schema markup so machines can map your content structure without guessing at what belongs to what. And build real topical authority over time instead of chasing one viral page, since both classic rankings and AI citations reward established expertise over a lucky headline.

Consider a hypothetical local bakery site that fixes slow load times and adds recipe schema markup. Not long after, it starts appearing in both Google search results and AI Overview summaries for "best sourdough near me" style queries, because it solved the same underlying problems (speed, structure, clarity) that both systems care about.

Or take a hypothetical niche hobby blog that restructures its FAQ pages to answer common questions directly in the first two sentences. Later, it notices ChatGPT citing those same pages when users ask similar questions elsewhere, not because it chased a GEO trend, but because it wrote clearly.

Here is how the terminology actually maps to what each term is optimizing for, side by side:

Worth noting too: earned credibility still carries the most weight in whether AI tools cite you at all. 84% of AI citations come from earned media, third-party editorial coverage rather than brand-owned pages or paid placements](https://www.instantpress.co/aeo-statistics), which is a strong argument for investing in off-page SEO and genuine outside coverage rather than only polishing your own pages.

The Bottom Line

Call it GEO, AEO, or just SEO for the AI era: the label is marketing, and the work underneath it is the same craft of building a fast, clear, trustworthy site that machines can understand and readers can use, a point Google's own AI optimization guidance makes clear by insisting there is no secret algorithm, just SEO fundamentals. Get the fundamentals right and the acronyms take care of themselves.

Frequently Asked Questions

Is GEO a real ranking factor I need to chase separately from SEO?

Not really. GEO describes an outcome, getting cited by AI tools, but the mechanics are still crawlability, clear writing, and credibility, which are core SEO work you should already be doing.

Should I create an llms.txt file for my site?

It is a low-effort, low-risk experiment worth trying since it costs little to add, but treat it as supplemental to a broader plan for setting a crawler policy for your website. Support across AI crawlers is inconsistent, so do not let it distract from schema markup and page speed, which have broader, proven support.

Do I need to abandon classic SEO practices to show up in AI Overviews?

No. The sites getting cited by AI answer engines are overwhelmingly the same ones that already rank well in classic search, because both systems are looking for the same signals of clarity and trust.

Is AEO the same thing as GEO?

They overlap heavily and are often used as synonyms. If there is a distinction, AEO leans toward structuring a page to directly answer one question, while GEO is the broader umbrella for optimizing toward any AI-generated response.

Which of the four types of SEO should a small site owner prioritize first?

Technical SEO first, since a crawl or indexing problem undermines everything else, followed by on-page work to make sure your content actually answers what people (and AI tools) are asking.