What is generative engine optimization? The ecommerce guide

Generative Engine Optimization, or GEO, is the work of making a brand visible and correctly described inside the answers generative engines produce. US search demand for the definition itself is still climbing: "what is generative engine optimization" is up about 154% quarter over quarter and "what is geo in marketing" about 104% year over year, per Google Ads data pulled in September 2026.

Applied to ecommerce, GEO takes a specific shape that most general guides miss. Your unit of visibility is not a page, it is a product. An engine recommending a product has to state its material, size, use case, availability and price without risking an error. If one of those is missing or self-contradictory, the engine recommends something else. No amount of blog content compensates.

The order that saves the most money

The sequence below is not a preference. It is sorted by increasing cost to fix and decreasing return.

• Check access: can AI crawlers read your product pages, or is robots.txt blocking them.
• Check commerce eligibility: barcodes present, store open in the right market, availability data consistent.
• Check product facts: material, dimensions, compatibility, care, origin, everything a buyer would ask.
• Measure the real position: on your category's questions, who gets cited and how often.
• Fix the pages that lose, adding the attributes the measurement identified as missing.
• Pursue external corroboration once your own house is in order, not before.

Three expensive mistakes

The first is starting with content production. It is the SEO reflex, and it transfers badly: in commerce, citation depends far more on product-data quality than on blog volume.

The second is treating AI visibility as a one-off project. Answers drift, engines change their sources, and a fix that worked in March can be undone by a model update in June. Without repeated measurement you will not notice.

The third is confusing presence with recommendation. Being mentioned is not being advised. A brand cited as the pricier option with no stated advantage loses the sale to the one described with a clear benefit.

What is measurable, and what is not

Be precise about the limits, because most guides avoid them. You can measure citation rate, share of voice, which sources get cited, and movement after a fix. You can track referral traffic from AI interfaces and, with the right instrumentation, tie sales back to those visits.

You cannot measure how often an AI described you to someone who never clicked. No tool can, and a vendor claiming otherwise is worth a hard question. What we do at Tadow is measure the observable part properly, and say plainly when a number is not solid enough to put in front of a board.