AI drives shopping traffic
A tracking analysis says 97% of tracked AI shopping traffic funnels through ChatGPT‑style assistants, with buyers converting at about 2.47% — meaning AI overviews are now a primary discovery channel for e‑commerce. The headline: if products and feeds aren't optimized for those AI outputs, brands are likely invisible to a growing buyer cohort. (alhena.ai)
Alhena published “GEO for Product Brands” on March 23, 2026, and identifies three determinative levers for AI product recommendations: on‑site data quality, off‑site citation building, and review signals. (alhena.ai) The post draws on Alhena’s Agentic Commerce data to show LLM‑referred sessions convert above traditional paid channels, citing Google Ads at 1.82% and Meta Ads at 0.52% for direct comparison. (alhena.ai) Alhena launched an “AI Visibility” product that maps SKU‑level citations across ChatGPT, Google Gemini, and Perplexity and ties those citations directly to revenue attribution. (alhena.ai) A separate Alhena SKU‑level analysis highlights concrete failure modes — AI answers recommending discontinued SKUs or incorrect variants — and recommends auditing price, spec, and variant accuracy at SKU granularity. (alhena.ai) The blog prescribes concrete technical moves: add JSON‑LD product, FAQ, review and breadcrumb schema to every product detail page and maintain complete Google Merchant Center feeds so generative engines can extract machine‑readable attributes. (alhena.ai) Industry reporting shows platforms are embedding commerce into AI flows — OpenAI’s ChatGPT supports Instant Checkout integrations for Etsy and Shopify, and Perplexity offers one‑click checkout for U.S. subscribers — magnifying the revenue impact of being cited by these assistants. (s3.amazonaws.com)
