What is Generative Engine Optimization (GEO) and how is it different from SEO?

Generative Engine Optimization (GEO) is optimizing your content to be cited by AI answer engines (ChatGPT, Perplexity, Gemini, Google's AI Overviews) rather than only ranked in a list of links. As more people get answers from a model instead of a results page, being the source the model quotes becomes as important as ranking #1 ever was.

How is GEO different from SEO?

SEO gets you into a ranked list a human scans and clicks. GEO gets you into the answer itself: the synthesized paragraph the model returns, often with a citation and frequently with no click at all.

	SEO	GEO
Target	Search results page	The AI's generated answer
Unit of success	A ranked link	A cited sentence
Reader	A person scanning	A model extracting
Currency	Clicks	Citations & mentions

They're not rivals. GEO builds on SEO: if a crawler can't read your page, no model can cite it.

What actually makes content citable?

Answer engines favor pages they can extract clean, self-contained claims from. In practice that means:

• Lead with the answer. State the conclusion in the first two sentences, so a model can lift it without inferring.
• Question-shaped headings. H2s that mirror how people ask, each a deep-linkable anchor.
• Structured data. Article, FAQPage and BreadcrumbList schema tell the engine what your content is.
• Self-contained Q&As. A crisp FAQ is the single most-quoted format.
• Specificity and sources. Real numbers and cited primary data earn trust.

Write so that a single paragraph, lifted out of the page with no surrounding context, still says something true and complete. That paragraph is what gets quoted.

The technical groundwork most sites miss

Great writing still needs a crawlable substrate. The unglamorous parts matter:

• Server-render your content as real HTML, not text that only appears after JavaScript runs.
• Ship correct canonical URLs, sitemaps and fast pages.
• Allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) in robots.txt if you want to be eligible for citation.
• Publish an /llms.txt, a Markdown map of your site written for models.

This very Journal is built that way: every post ships as static HTML with structured data, an RSS item, and an llms.txt index. The writing is the only variable left.

The takeaway

SEO earns the click; GEO earns the citation. Do both, and understand what is shifting: more and more, a model reads your page for your reader. Write to be quoted.