Every few months the same question lands in my inbox with a new acronym attached. This year’s version: “Do I need GEO now instead of SEO?”
Short answer: not instead. But the two are different enough that treating GEO as “SEO with extra steps” will quietly waste your effort. Here’s the actual difference, without the hype.
Two games, two referees
SEO optimizes for a ranking algorithm. Google crawls your page, scores it against hundreds of signals, and slots it into an ordered list. Your prize is position — and position earns a click.
GEO — Generative Engine Optimization — optimizes for a language model composing an answer. ChatGPT, Claude, Gemini and Perplexity don’t rank pages; they extract facts and synthesize a response. Your prize is being in the answer: cited, quoted, recommended — often without any click at all.
Same web, different referee, different scoring.
What actually changes in practice
The unit of competition shrinks. SEO competes page against page. GEO competes sentence against sentence. A model lifts the clearest, most self-contained factual statement it can find — so “Founded in 2022, the studio has shipped 20+ custom-coded sites” beats three paragraphs of brand story. You’re writing lines to be quoted, not pages to be ranked.
Keywords lose power; entities gain it. Models care less about matching a query string and more about understanding who you are: a consistent name, address, service list and history across your site, your schema, your Google Business Profile and every place you’re mentioned. Contradictions between them read as unreliability.
New files matter. An llms.txt — a curated plain-text brief of your business at your domain root — plus robots rules that admit AI crawlers. Classic SEO has no equivalent, because Google never asked you to summarize yourself.
Structure stops being optional. JSON-LD schema (Organization, Service, FAQ, Article) hands the model your facts in a format it can’t misread. In SEO, schema earns rich snippets — nice to have. In GEO, it’s closer to load-bearing.
Measurement changes. Rankings and clicks still measure SEO. GEO shows up as referrers from chatgpt.com and perplexity.ai in your analytics, and — more bluntly — in whether the assistants name you when asked about your category. Ask them monthly. It’s the most honest dashboard you’ll get.
Where they overlap — and compound
The good news: the foundations are shared. Server-rendered content models can actually read. Fast, clean, semantic HTML. Real expertise stated plainly. Honest sitemaps. A site that’s technically excellent for Googlebot is readable by every AI crawler too.
That’s why the right mental model is a stack, not a fork: technical SEO is the floor, GEO is a new storey on top. Implement the full stack — schema graph, llms.txt, quotable copy — and the GEO layer rides on classic rankings that keep compounding underneath it. You are never choosing one at the other’s expense.
What to do this quarter
- Keep doing real SEO. Nothing about GEO excuses a slow site or thin content.
- Ship llms.txt, open your robots.txt to AI crawlers, add JSON-LD to every page that earns it.
- Rewrite your key pages’ core claims as quotable, self-contained facts.
- Ask the four big assistants about your category monthly. Track whether you appear, and whether what they say is accurate.
The window matters more than the acronym: most of your competitors are doing none of this, which means the AI answer for your category is still being written. It can be written from your pages.
I’m Divyansh Sood. I implement SEO and GEO together, directly in your codebase — schema graphs, llms.txt, quotable copy, Core Web Vitals — as a developer, not a slide deck. The full playbook is in how to make your brand quotable by AI. Or just email me — ask the assistants about your category first, and tell me what they said.