SEO, AEO, GEO: three ways to show up, and the one your catalog decides

There are three ways to show up in search now, and most ecommerce brands are still optimizing for one.

The first you already know. SEO, search engine optimization, is the work of ranking your product pages on Google: keywords, backlinks, clean titles, fast pages. It still matters. It is no longer enough on its own.

The second is newer. AEO, answer engine optimization, is about the answer box. When someone searches "best running shoes for flat feet," Google increasingly answers at the top of the page with an AI Overview instead of a list of links. If your brand is not in that answer, you are invisible, even if you rank third.

The third is the one changing everything. GEO, generative engine optimization, is about getting an AI assistant to recommend your product by name. When a shopper asks ChatGPT, Claude, Gemini, or Perplexity "what is a good moisturizer for dry skin," it does not return ten blue links. It names one or two products. If you are not one of them, you do not exist to that shopper.

Put simply: the old path was rank higher, get the click, maybe convert. The new path is be the answer, get recommended, win the sale. People do not scroll through a page of options the way they used to. They ask, and they trust the first answer.

Here is the part most of the GEO conversation misses. Getting your brand mentioned is not the same as getting your product recommended. A lot of GEO advice is really public relations for machines: seed your brand into reviews, Reddit threads, and expert roundups so the model has seen you recommended elsewhere. That helps. It is real. But it is only one layer, and it is the easy half.

The harder half is your catalog. When an assistant weighs your product against a competitor's, it does not read your marketing. It reads your product data. Can it find the right SKU for a real constraint like "under $200" or "fits a small kitchen"? Can it tell your products apart, or do they blur into interchangeable descriptions? Can it trust the claims, or do they contradict the spec sheet? Can it confirm the fit before it puts you on the shortlist? If the answer is no, no amount of Reddit buzz will save you. The model will reach for the brand it can actually verify.

This is where SEO, AEO, and GEO all quietly depend on something none of them measure: whether your catalog is legible to a machine in the first place. You can rank, you can be cited, you can be talked about, and still lose the recommendation because the assistant could not confirm that your specific product fits the specific request.

That gap is what the Commerce Eligibility Index measures. CEI scores your catalog, SKU by SKU, on whether AI systems can find, understand, trust, and recommend your products, then turns the gaps into a prioritized fix plan. It is not a replacement for SEO, AEO, or your GEO efforts. It is the foundation they all stand on.

So keep doing SEO; it is your base. Invest in AEO and GEO; that is where buying is heading. But do not mistake being mentioned for being recommendable. The brands that win the AI shelf are the ones whose catalogs a machine can actually read, compare, and trust.

That is a fixable problem. The only question is whether you fix it before your competitor does.

Curious where your catalog stands? A Commerce Eligibility Index™ assessment shows exactly where AI assistants can, and cannot, find, trust, and recommend your products. Request a CEI assessment at catalogsignal.com.

About this note

A CatalogSignal field note on how SEO, AEO, and GEO fit together, and why catalog legibility is the layer they all depend on.