SEO in one line
Structuring your site so search engines rank it high enough on the results page that a person clicks a blue link. Full definition →
GEO in one line
Structuring your site so AI engines cite it inside the answer they generate - ChatGPT, Perplexity, Claude, Google AI Overview. Full definition →
The side-by-side
What changes between the two, aspect by aspect.
| Aspect | SEO | GEO |
|---|---|---|
| What you win | A rank position on a search results page | A citation inside an AI-generated answer |
| Where it appears | Google and Bing search results pages | ChatGPT, Perplexity, Claude, Google AI Overview |
| Primary user action | Click a blue link to visit the site | Read the answer; click through only if they need more |
| How the engine decides | Ranking signals: links, on-page, page experience, freshness | Retrieval + citation: is your site a source the model trusts to quote |
| What content shape wins | Comprehensive, well-linked pages that satisfy intent | Direct answers, question-led headings, structured data an engine can lift |
| Structured data | Helps rich results (FAQ, HowTo, Article) | Load-bearing - schema is often the difference between cited and invisible |
| Entity signals | Helps knowledge panels | Core - the model needs to know who you are before it will name you |
| Freshness cadence | Weeks to months to re-rank after changes | Days to weeks; AI engines re-retrieve continuously |
| How you measure it | Keyword rankings, organic clicks, impressions | Citation rate per query per engine, share of voice vs competitors |
Where they overlap - the shared foundation
Do these once and both disciplines benefit. If your SEO fundamentals are solid, you're already partway to a strong GEO score.
- Fast, crawlable pages with clean HTML - SEO and every AI crawler need the same access
- Question-led headings that map to how people actually ask - helps rankings and lets AI lift a direct answer
- Schema.org markup (Organization, FAQPage, Article) - powers rich results and gives AI machine-readable facts
- A canonical author + About page - feeds E-E-A-T for SEO and the Entity signal for GEO
- Third-party mentions on trusted sites - a classic link signal for SEO and a co-citation signal for GEO
Where they diverge - what GEO adds
The GEO-specific work on top of a healthy SEO practice.
- Direct answers above the fold - an AI engine won't paraphrase deep body copy; it lifts the first clean answer it finds
- Organization and Person schema with sameAs references - the entity graph AI engines use to decide who you are
- An llms.txt file - a plain-text map of your most important pages, written for AI crawlers
- Co-citation on the specific sources AI engines pull from for your queries - often Reddit, G2, Wikipedia-adjacent references, industry publications
- Answer-shaping over topic depth - an 800-word question-led page often outperforms a 3,000-word comprehensive one for AI citation
Frequently asked questions
Is GEO replacing SEO?
No. Google search is still enormous and most buyers still click. GEO adds a second surface - AI-generated answers - that a growing share of research and comparison queries now happen on. The practical answer for most B2B brands is to do both: keep ranking, and get cited.
Can a page rank #1 on Google and still not be cited by ChatGPT?
Yes, routinely. AI engines don't consume Google's ranking signals directly; they retrieve from their own indexes and decide whether a source is worth quoting based on structure, entity clarity and trust. A page that lacks answer-shaped structure or clear entity signals can rank first and still be invisible in the AI answer for the same query.
What do I already do for SEO that helps with GEO?
Crawlability, page speed, question-led headings, schema markup and E-E-A-T authorship all help both. If your SEO fundamentals are strong, you're partway to a strong GEO score - the remaining work is usually answer-shaping the content and tightening entity signals.
What do I need to add for GEO that classic SEO never covered?
Direct answers above the fold, Organization and author schema with sameAs references to your public profiles, an llms.txt map for AI crawlers, and co-citation on the specific third-party sources AI engines pull from for your queries (which vary by category).
How do I know if AI engines are citing me?
The only reliable way is to test the exact buyer queries in each engine and record which sources they cite. Osoro GEO does this on a schedule for a tracked query set, per engine, and reports citation rate over time so you can see whether changes moved the number.
Related reading
Score your site on the four signals AI engines actually weight
Free scan, about 30 seconds, no account. You'll get your GEO score, the four pillar scores (Technical, Content, Entity, Trust), and the prioritised fixes that move each one.