For twenty years, "SEO" basically meant one thing: rank on Google. That equation no longer fully holds. More and more people aren't typing their questions into a search bar anymore — they're asking ChatGPT, Perplexity, or Google's own AI Overviews directly, and those systems choose their sources by different criteria than the classic Google algorithm.

// 01

What Generative Engine Optimization Actually Means

GEO describes optimizing content to be found, understood, and cited by generative AI systems — not just ranked. A search result is a blue link among ten others. An AI answer is a single, synthesized statement assembled from a handful of sources. Not being one of them doesn't mean position two — it means invisible.

// 02

The Technical Overlap

The good news: a lot of what counts for classic SEO also counts for GEO. Clean semantic HTML, correct hreflang and canonical tags, structured data via Schema.org (Person, ProfessionalService, BreadcrumbList — this site uses all three), an up-to-date XML sitemap, and fast, crawlable pages. A crawler that can't cleanly parse a page hands neither Google nor a language model anything useful to work with.

// 03

What's Actually Different for GEO

The difference starts with content structure itself. AI systems favor clear, self-contained statements over vague marketing language — FAQ sections with direct question-answer pairs perform noticeably well, because they match exactly the format a language model can quote. And you can explicitly open the door to AI crawlers. This site explicitly does, in its own robots.txt:

robots.txt
User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Google-Extended
Allow: /

A deliberate choice, not a default.

// 04

The Practical Takeaway

AI search assistants aren't a trend you can wait out — they're an additional distribution channel, the same way organic Google search was twenty years ago. Optimizing only for the old channel quietly gives up visibility in the new one.

SEO isn't dead, and GEO doesn't replace it — both are built on the same technical foundation. The real difference is who you actually want to be visible to in the end: an algorithm that ranks, or a model that cites. In the end, both matter.