This is one of the best practical GEO case studies I've seen. The e-commerce angle is crucial because product pages have fundamentally different optimization needs than blog content.
One thing I'd emphasize: the gap between "mentioned by AI" and "recommended by AI" is where the real revenue lives. Getting ChatGPT to acknowledge your product exists is step one. Getting it to recommend your product over alternatives requires a different set of signals — primarily third-party reviews, comparison content, and consistent entity presence across the web.
The Schema.org Product markup is table stakes, but the combination with FAQ schema answering "why choose [product] over [competitor]" is what tends to trigger actual AI recommendations rather than just mentions. Have you tracked which AI engine drives the most conversion from citations?
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This is one of the best practical GEO case studies I've seen. The e-commerce angle is crucial because product pages have fundamentally different optimization needs than blog content.
One thing I'd emphasize: the gap between "mentioned by AI" and "recommended by AI" is where the real revenue lives. Getting ChatGPT to acknowledge your product exists is step one. Getting it to recommend your product over alternatives requires a different set of signals — primarily third-party reviews, comparison content, and consistent entity presence across the web.
The Schema.org Product markup is table stakes, but the combination with FAQ schema answering "why choose [product] over [competitor]" is what tends to trigger actual AI recommendations rather than just mentions. Have you tracked which AI engine drives the most conversion from citations?