llms.txt
A proposed convention: a markdown file served at /llms.txt that gives language models a curated map of a site's most useful content.
How to Get Recommended by ChatGPT: Prove Facts
Define credible buying situations, align live pages with structured product data and feeds, provide verifiable evidence, and test a frozen prompt set before and after each change.
How to Get Found on ChatGPT: What AI Can Verify (2026)
Getting found on ChatGPT can mean a brand mention, a Search citation, or eligibility for a shopping result. Improve the evidence available to each route: permit OAI-SearchBot where appropriate, publish answerable pages, use valid Product and Offer markup, and keep merchant feed data current where that integration applies. Then test citations, product cards, prices, stock, and variants on a dated US prompt set. GPTBot governs training access separately from ChatGPT Search crawling.
What Is Agentic Checkout? Where Orders Break in 2026
Agentic checkout is the transaction workflow in which an authorized AI shopping agent validates a selected product and variant, creates a cart, calculates shipping and tax, secures payment authorization, creates the order, and returns confirmation. In the merchant-hosted flows covered here, checkout stays on the brand's rails; legal and operational responsibility depends on the actual commercial arrangement and any delegated payment, tax, fulfillment, or returns functions.
How GEO works: make catalogs readable by AI
How does generative engine optimization work? For ecommerce, it makes product information easier for ChatGPT, Gemini, Perplexity, Copilot, and AI Overviews to retrieve, parse, verify, and connect to checkout-capable records where supported.
Generative engine optimization for ecommerce: what AI reads and skips in 2026
Generative engine optimization for ecommerce makes product data readable, matchable, and buyable by AI engines through schema, attributes, availability, policies, and page copy they can parse.