I audited 10 ecommerce stores for GEO visibility and here's what I found
GEO (generative engine optimization) is a huge opportunity for brands right now. Referrals from ChatGPT, Perplexity, and Claude account for 30% of referral traffic and have a 4-25X higher conversion rate than search traffic. First movers will win here.
I've been auditing storefronts for this, and the gaps are wild. Brands with strong SEO and on-site conversion have almost no AI search presence because their product descriptions are thin, or their structured data is a mess, or their brand just isn't being talked about anywhere an LLM can find.
If you want to see where your store stands on both, I built a tool that crawls it, scores it, and gives actionable fixes. Happy to share it in the comments.
Here are my findings from the 10 most recent audits:
• Average GEO score was 37 out of 100. Lowest was 26, highest was 48. No store cleared 50.
• The schema gap is the big one. Only 1 of the 10 had a real product schema on its product pages. Not one had a review or rating schema, so none of their star ratings can surface when an AI is comparing products. Most were on Shopify, and the default theme schema just isn't rendering in a way the crawlers can use.
• The access side is what surprised me. All 10 had an llms.txt file, and none of them blocked the major AI crawlers. The engines can walk right in. There's almost nothing structured waiting for them once they do.
• Content was thin on the same axis. Not one store used question-phrased headings, the kind that match how people actually ask an AI about a product. None had a comparison table. Half had some FAQ content.
These stores convert fine and look good; however, they're sitting on a next-to-zero readiness for the fastest-growing channel.