The agentic commerce playbook.

We ran 10,000 product pages across 2,000 brands through Banavo's AI-shopping-readiness gate. Fewer than half passed — and the reason isn't brand size or catalog size. It's how product data is implemented. The bigger issue is only 3% have the context AI engines look for to recommend or champion the product in its answers.

llms.txt won't get your store ranked in ChatGPT or Perplexity. Here's what the file actually does, the myths worth ignoring, and where ecommerce brands should really spend their AI visibility effort.

How AI assistants like ChatGPT, Google AI Search, Gemini and Perplexity discover, compare and recommend products, and the readiness steps that get your brand chosen instead of skipped.

How early movers like Shopify, Etsy, and Walmart win inside ChatGPT, Gemini, and Perplexity—by restructuring product data for AI agents, not shoppers.

How lean ecommerce brands use AI agents to run support, marketing, and analytics at enterprise scale—converting shoppers at 12.3% while cutting CAC.

Disconnected back-office systems quietly drain 20–30% of ecommerce revenue. See how AI agents cut fulfillment costs and end manual firefighting.

Replace six-hour dashboard hunts with agentic AI that diagnoses ecommerce performance drops in minutes—using causal inference to find the real cause.

When AI agents—not people—choose what to buy, brands win on machine-readable product data, verified trust signals, and API-ready checkout. Is yours ready?

Roughly 70% of online carts are abandoned. 7 practical tactics—from surfacing fees early to AI-timed recovery emails—to cut abandonment and recover revenue.