SEO vs GEO: what's actually different

Every time someone writes about GEO (generative engine optimization), they start by saying "it's like SEO but for AI." That's true but also misleading. The overlap is smaller than you'd think.

Here's what's actually different.

In SEO, the goal is to appear on a results page. You want to be one of ten blue links. Higher position = more clicks. The entire system is built around rankings.

In GEO, there are no rankings. The AI generates a response. You're either in the response or you're not. There's no page 2 to fall back on. No featured snippet to win. You're either part of the answer or invisible.

This changes everything about how you approach optimization.

Google uses hundreds of ranking signals. Backlinks, page speed, mobile-friendliness, Core Web Vitals, E-E-A-T, schema markup, internal linking, and dozens more. You can optimize for most of these.

AI models use a much simpler (and less transparent) set of signals:

Training data presence. Were you mentioned in the sources the model was trained on? This is the #1 factor and it's largely outside your direct control.

Context of mention. How were you described? "The best tool for X" is more useful than "a tool for X."

Structured content. Tables, bullet points, and clear definitions survive training better than flowing prose.

Recency. Newer mentions carry more weight.

You can't "build backlinks" to improve your AI visibility. You can't optimize your page speed. The optimization surface is completely different.

Transfers: Good content structure, clear writing, authoritative positioning. If your content is well-organized and informative, it helps in both SEO and GEO.

Doesn't transfer: Technical SEO, backlink building, keyword density, meta descriptions. These matter for Google rankings but have little to no effect on AI visibility.

New for GEO: Being mentioned in forums, review sites, and community discussions. These sources feed AI training data but don't directly impact Google rankings.

If you're a small team, here's how I'd split effort:

70% traditional SEO. Google still sends most traffic. Don't abandon it.

30% GEO. Get mentioned in authoritative sources, structure your content for AI comprehension, and track your visibility across models.

The 30% investment in GEO has disproportionate returns because almost nobody is doing it yet. The competition is essentially zero in most categories. Meanwhile, SEO is a mature, crowded field where incremental gains cost real money.

Start by checking your AI visibility. Run 10 queries your customers would ask. See who shows up. If it's not you, you have a new channel to invest in — and the window is still open.