geo vs seo: What is actually different?

GEO and SEO share a goal - getting your website found by people who are searching. But the signals that drive each are different enough that a strong SEO strategy does not automatically translate into good GEO performance. Here is what sets them apart. You can check any site's GEO and SEO scores for free at SearchScore.

The fundamental difference

SEO optimises your website to appear in a ranked list of links when someone searches on Google or Bing. The user then decides which link to click.

GEO optimises your website to be cited as a source inside an AI-generated answer. The user reads the answer, and the AI points them to the sources it used.

This difference in format - list of links versus synthesised answer - drives almost all the differences in how each discipline works.

Signal comparison: what drives each

Schema markup: SEO vs GEO (and the US question)

Schema markup is one of the clearest places GEO and SEO part ways - not because the markup differs, but because each discipline uses it for something different.

For SEO, schema mostly earns you rich results: star ratings, FAQ drop-downs, recipe cards and the like. Helpful, but cosmetic - it changes how your listing looks, not whether you rank.

For GEO, schema does deeper work. AI engines read structured data to understand what your content actually means and who stands behind it. Clear schema makes your pages easier to parse, easier to trust, and easier to quote in an answer. The types that matter most:

• Organisation schema - verifies you're a real business, with name, URL, logo and linked profiles.
• Person schema - confirms an author's credentials, which AI weights when deciding whether to cite.
• Article schema - with accurate author, published and modified dates, signals freshness and provenance.
• FAQPage schema - turns question-and-answer content into something AI can lift straight into a response.

So the difference isn't "SEO schema" versus "GEO schema" - it's the same markup, valued more heavily and for different reasons in AI search.

Is schema different in the United States?

This question comes up a lot, so it's worth answering plainly: no, the schema itself isn't country-specific. Schema.org is a single global standard, so a US site uses the same markup as a site anywhere else.

What is different in the US is the landscape around the schema. Google AI Overviews launched first and expanded most aggressively in the United States, so US sites are competing for AI citations earlier and against more rivals. AI engines also lean on US-English phrasing and US-centric authority sources - the US edition of Wikipedia, US publications, US directories. The takeaway for a US business isn't different code; it's the same well-formed schema, applied knowing the AI-search environment is further ahead and more crowded than in most other markets.

Where they overlap

Many GEO improvements also benefit SEO - which is why adding GEO work to an existing SEO programme is relatively efficient. Shared foundations include:

• Content quality - clear, accurate, well-structured content ranks better in both Google and AI search
• EEAT signals - expertise, authoritativeness and trustworthiness matter for both
• Technical health - fast, crawlable, well-structured pages perform better in both
• Brand authority - being a well-known, widely-mentioned brand helps in both disciplines

Where they diverge

The clearest divergences - where SEO and GEO require genuinely different work:

Link building vs brand mention building

SEO link building prioritises getting links from high-authority domains. GEO brand authority building prioritises getting your brand mentioned in credible contexts - even without a hyperlink. Press coverage, podcast appearances, industry reports citing your data, and directory listings all contribute to GEO authority.

Keyword optimisation vs answer optimisation

SEO requires targeting specific keyword phrases with appropriate density and placement. GEO requires structuring content so that AI engines can extract clear, quotable answers - regardless of keyword positioning. A GEO-optimised page gives AI engines something worth quoting; a keyword-optimised page gives Google a relevance signal.

AI-specific technical requirements

GEO has a set of technical requirements with no SEO equivalent: AI crawler access in robots.txt, llms.txt, and ensuring that your site works correctly for headless crawlers that do not execute JavaScript. These have no parallel in traditional SEO.

The practical implication

If you already do SEO well, you are not starting from zero on GEO. But you do have a specific set of gaps to address: AI crawler permissions, llms.txt, FAQPage and Article schema on content pages, and a brand authority strategy that goes beyond link building. A GEO audit will tell you exactly where those gaps are on your specific site. For a comparison of the best AI visibility tools to track both your GEO and SEO performance, see our tools guide. To monitor your AI search rankings over time, try an AI SEO tracker.