GEO vs SEO: what changes, what stays, and how to run both
TL;DR
SEO earns positions on a results page; GEO earns mentions inside AI-generated answers. The overlap is large — good pages feed both — but the deliverable, the metrics and part of the playbook are different.
Keep doing SEO. Add three things: entity clarity, answer-shaped content, and a measurement loop for what engines actually say about you.
What stays the same between SEO and GEO
Everything engines read still has to exist and be readable. Crawlable HTML, fast pages, real expertise, links and reviews that establish you as a legitimate entity — AI answers are built on top of the same corpus that rankings are. A site that is invisible to Googlebot is invisible to GPTBot too, which is why the boring fundamentals transfer completely.
What changes: the deliverable is an answer, not a ranking
A results page has ten slots; an answer names three to six brands in prose and moves on. That single difference rewrites the economics:
- There is no page two. You are in the answer or you don’t exist for that question.
- Position becomes “answer rank”. Being the first brand named is the new #1 — and it’s measurable, just not with a rank tracker.
- Citations replace snippets. When engines link sources, the citation is the click opportunity — we broke down how to win them in the AI Overviews guide.
What GEO adds to the SEO playbook
Entity definition
Rankings tolerate vagueness; language models don’t — they fill gaps with guesses. GEO starts by writing down what your brand is, identically, everywhere the model might read it.
Prompt sets instead of keyword lists
Buyers ask assistants full questions, per market and language. Your keyword universe becomes a prompt set, and coverage of it becomes your visibility number — the mechanics are in our GEO guide.
A new scorecard
Share of voice, answer rank and citation share sit next to clicks and rankings. The landing page’s metrics explainer shows the three side by side on a real answer.
How to run both without doubling the work
Treat GEO as a lens on the same content operation: every page you plan for rankings gets an answer-shaped section; every digital-PR push targets sources engines cite; every monthly report adds the AI scorecard. Teams that bolt GEO on as a separate project usually duplicate half their SEO stack — teams that merge the scorecards move faster with the same headcount.
If you want the AI half of that scorecard filled in for your own brand, the free AI-visibility audit is the fastest baseline.
Frequently asked questions
Does GEO replace SEO?+
No. SEO remains the foundation: crawlable pages, strong content and authority still feed the systems that generate AI answers. GEO extends that work toward a new output — being named and cited inside answers — and adds tasks SEO never had, like entity definition and answer measurement.
Should the same team own SEO and GEO?+
Usually yes. The skills overlap heavily — content, structure, digital PR, measurement — and splitting them creates two teams optimizing the same pages with different goals. What changes is the scorecard: the team needs AI share of voice and citation metrics next to rankings and clicks.
Which KPIs matter for GEO that SEO never tracked?+
Three: share of voice (the percentage of tracked AI answers that mention you), answer rank (where you appear inside an answer), and citation share (how often engines cite your domain as a source). None exist in a classic rank tracker, which is why GEO needs its own measurement layer.
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