When shoppers ask ChatGPT where to buy, does your store appear — or do competitors win? This free audit runs five real purchase queries and returns your AI visibility index plus one priority fix.
Competitors should be other category brands.
The result reflects AI recommendations based on the model's training knowledge.
Ecommerce GEO is the practical layer of generative engine optimization focused on making your catalog, brand, and trust signals easy for language models to understand and cite. It blends technical hygiene (schema, entity consistency) with answer-ready content that helps your store appear in AI shopping recommendations.
If SEO helps you rank in links, GEO helps you earn inclusion inside generated answers. In practice, both are complementary and should be planned together.
More buying journeys now start with conversational assistants, not just classic SERPs. When your AI search visibility is weak, shoppers may never see your brand in shortlist recommendations.
Strong LLM visibility improves your chance to get cited by ChatGPT at the exact moment a user asks what to buy. This is where answer engine optimization (AEO) and ecommerce GEO directly impact demand capture.
The tool runs realistic shopping queries that mirror discovery, comparison, and brand-knowledge intent in ecommerce.
Each response is parsed for mention, position, sentiment, and recommendation strength, then combined into a single AI visibility index.
You get one concrete next action designed to improve generative engine optimization outcomes, not generic advice.
GEO, or generative engine optimization, is the practice of making your brand and product information easier for AI systems to retrieve, trust, and cite in generated answers. For ecommerce, this means improving structured data, entity clarity, and authoritative mentions so your store appears in AI shopping recommendations.
Traditional SEO targets rankings in blue-link search results. Ecommerce GEO targets inclusion and quality of mention inside AI-generated answers. Both overlap on technical quality and content relevance, but GEO focuses more on entity consistency, citations, and answer-level relevance.
Shoppers increasingly ask AI assistants what to buy and where to buy it. If your brand has low AI search visibility, competitors can win those recommendation moments before users ever reach a search results page.
The audit runs realistic buying prompts, checks whether your brand appears, evaluates position and sentiment, and calculates a visibility index. It then gives one priority action to improve your LLM visibility and increase your chance to get cited by ChatGPT.
This free version checks ChatGPT-focused visibility patterns. It is designed as a practical baseline for answer engine optimization (AEO), with expanded multi-engine coverage planned for later versions.
Start by improving data quality and trust signals: clean product and organization schema, consistent brand entities, factual content for buying questions, and strong third-party mentions. The goal is to make your store easy to cite in relevant AI answers.