Every essential term in Generative Engine Optimization, agentic commerce, and AI visibility for e-commerce. Your definitive reference to understand the GEO ecosystem.
21 terms defined - updated April 2026
Protocol developed by OpenAI and Stripe enabling AI agents to make purchases directly within ChatGPT. ACP standardizes product discovery, price comparison, and automated checkout through tool calls, creating a new commerce channel for Shopify merchants.
An e-commerce model where autonomous AI agents search, compare products, and complete purchases on behalf of consumers. Agents use standardized protocols (ACP, UCP) to interact with online stores, evaluate trust signals, and execute transactions without human intervention.
A schema.org type that exposes the average review score and review count directly in HTML code. Critical for GEO because AI crawlers cannot execute JavaScript from third-party review widgets - only AggregateRating in JSON-LD is readable by AI systems.
A score simulating how an autonomous AI shopping agent would evaluate a product page. It assesses whether an agent can understand the product, compare prices, verify reviews, check shipping policies, and complete a purchase without human assistance.
Web crawling bots used by AI systems to index website content. Major AI crawlers include GPTBot (OpenAI/ChatGPT), PerplexityBot, ClaudeBot (Anthropic), Google-Extended (Gemini), Amazonbot, and Applebot-Extended. Each must be explicitly allowed in robots.txt.
The ability of an e-commerce site to be discovered, understood, and recommended by artificial intelligence systems. AI visibility depends on technical factors (robots.txt, schema.org, llms.txt), content quality (verified claims, factual data), and trust signals (reviews, certifications).
A ChatGPT feature enabling users to search, compare, and purchase products directly within the conversational interface. Merchants optimized for GEO appear in ChatGPT's product recommendations, gaining a new acquisition channel beyond traditional search.
In GEO, claims are a store's marketing assertions (free shipping, money-back guarantee, Made in USA). Proofs are the verifiable elements supporting them (accessible policy pages, certifications, schema.org data). AI systems only cite claims backed by verifiable proof.
A content strategy that structures product information as answers to natural questions consumers would ask. Generative AI systems favor this format because it matches their question-answer interaction pattern, making products more likely to be cited in responses.
The practice of optimizing an e-commerce store to be cited, compared, and recommended by generative search engines (ChatGPT, Perplexity, Google AI Mode) and AI shopping agents. Unlike SEO which optimizes for blue links, GEO optimizes for AI-generated answers and product recommendations.
A score out of 100 measuring a Shopify store's ability to be cited and recommended by generative AI. It combines 9 factors: AI crawler accessibility, schema.org completeness, AggregateRating, native HTML content, verifiable proofs, claims coherence, llms.txt, sitemap health, and canonical consistency.
A product data completeness score measuring 34 attributes across 7 categories (identity, commerce, trust, media, enrichment, discoverability, protocols). Stores at 95%+ completeness see 3-4x higher AI visibility based on Google Shopping Graph data.
Google's search mode that generates comprehensive, Gemini-powered answers instead of listing links. Google AI Mode uses the Shopping Graph and UCP protocol to recommend products with integrated price comparison and one-click checkout capabilities.
Google's recommended format for structured data serialization. In e-commerce, JSON-LD is injected in a <script type='application/ld+json'> tag containing Product, Offer, and AggregateRating data readable by crawlers without parsing the DOM.
A text file placed at a website's root (example.com/llms.txt) that guides large language models to the most important content. It's the robots.txt equivalent for LLMs: it structures information for optimal AI ingestion and helps AI prioritize which pages to read.
Perplexity's e-commerce feature that displays products with prices, images, and purchase links in its answers. Perplexity uses structured data (schema.org) and server-rendered content to populate product cards, making GEO optimization essential for visibility.
The likelihood that a store will be recommended by a generative AI in response to a shopping query. A recommendable store combines complete structured data, verifiable reviews, competitive pricing, clear policies, and a frictionless checkout experience.
A standardized structured data vocabulary maintained by Google, Microsoft, Yahoo, and Yandex. For e-commerce, the Product, Offer, AggregateRating, and Brand types enable AI engines to instantly understand product attributes without parsing raw HTML.
Google's database containing billions of structured product listings. The Shopping Graph powers Google Shopping, Google AI Mode, and Gemini product responses. Merchants feed it through Merchant Center, schema.org Product markup, and the UCP protocol.
A web rendering technique where HTML is generated on the server before being sent to the browser. Critical for GEO because AI crawlers can only read initial HTML - content loaded dynamically via JavaScript (CSR) is invisible to them.
Protocol co-developed by Google, Shopify, and other platforms to enable AI agents to discover and purchase products. UCP exposes a .well-known/ucp manifest describing a store's transactional capabilities, feeding into Google AI Mode and Gemini shopping recommendations.
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