It's tempting to treat GEO as "SEO, but for ChatGPT" and move on. Some of the underlying instincts do carry over — clear structure, real expertise, being cited by credible third parties all still help. But three things are fundamentally different, and they change what you actually spend time on.
1. The output is a sentence, not a list
SEO gives a user ten blue links and lets them do the comparing. A generative answer already did the comparing for them and handed over a conclusion. That means the thing you're optimizing is no longer "rank higher" — it's "be the conclusion," which is a much higher bar and a much more binary outcome per prompt.
2. There's no live crawl to please in the moment
A search engine re-crawls and re-ranks constantly; you can often see a ranking move within days of a fix. Model behavior is shaped by training data, fine-tuning, and retrieval sources that update on a slower, less transparent cycle. That's exactly why monitoring matters more in GEO than it ever did in SEO — you need a scorecard because you can't just watch a rank tracker move in real time.
3. Competitors you've never heard of can be the whole problem
In SEO, you generally know who's outranking you. In GEO, we regularly see brands lose visibility to competitors they don't consider real competitors at all — simply because those competitors are more clearly described, more consistently reviewed, or more frequently cited in the kind of content these models draw on.
The practical takeaway
Don't throw out your SEO investment — clear, well-structured, well-cited content still matters. But add a second scorecard: run your buyers' real questions against ChatGPT, Gemini and Claude on a schedule, track a pass rate and a position score the same way you'd track a keyword ranking, and treat every prompt where a competitor is mentioned and you're not as an open ticket.