SEO (search engine optimization) optimizes a page to rank in a list of links a search engine returns. GEO (generative engine optimization) optimizes a page to be read, understood, and cited directly inside an answer an AI engine generates — where there's often no list of links shown to the user at all. The technical foundation overlaps heavily (crawlability, structured data, clean HTML), but the target output is fundamentally different: a ranking position versus a sentence in someone else's answer.
What actually carries over from SEO
Most of what makes a page good for SEO also helps GEO, because both start with the same prerequisite: something has to be able to fetch and parse the page.
| SEO | GEO | |
|---|---|---|
| Crawler access | Search bots (Googlebot, Bingbot) | AI crawlers (GPTBot, ClaudeBot, PerplexityBot) and search bots |
| Clean, server-rendered HTML | Helps ranking | Often required — many AI crawlers don't execute JavaScript at all |
| Structured data (JSON-LD) | Enables rich results | Tells an AI engine explicitly what a page is |
| Meta tags, canonical URLs | Ranking + deduplication signals | Same, plus context for AI summarization |
| Backlinks | A primary ranking signal | Indirect — AI engines don't have an equivalent "link graph" signal yet |
| Keyword targeting | Central to ranking strategy | Largely irrelevant — engines synthesize answers, they don't match keywords |
What's actually new in GEO
- A direct answer, stated plainly, near the top of the content. Search engines can excerpt a snippet from anywhere on a page. AI engines tend to favor content that states the answer to the implied question before elaborating — burying the answer under three paragraphs of preamble works against you in a way it never did for SEO.
- Fact density over keyword density. Specific, verifiable statements (numbers, dates, named sources) are more citable than adjective-heavy marketing copy, independent of whether any particular word appears a certain number of times.
- Structured data becomes a primary signal, not a bonus. JSON-LD
FAQPage,Article, andDefinedTermmarkup gives an AI engine a directly quotable, unambiguous representation of a page's content — closer to a data feed than a ranking hint. - No keyword-matching to game. There's no exact-match query string to target, because the engine is synthesizing an answer, not matching terms. Writing for a specific reader's actual question outperforms writing for a specific search term.
On Shopify, WordPress, and Next.js
The crawler-access and structured-data work is identical regardless of platform — allow AI crawlers in robots.txt, and make sure product/article/FAQ content carries JSON-LD. Where it diverges is how you do that: an SEO plugin (WordPress) or app (Shopify) that only optimizes for search-engine ranking signals may not add AI-crawler-specific structured data or check whether AI crawlers are blocked — it's worth verifying separately, which is exactly what a free scan checks.
Related
Run a free scan to see where a site stands on both dimensions at once, or see the Agentic Browsing glossary entry for a related but distinct concept — whether an AI agent can operate a page, not just cite it.