For ecommerce
Kloovy for ecommerce
Shopping questions are becoming AI answers with three products in them. Kloovy makes your products quotable, comparable, and citable — then ships the fixes for you.
Why does AI visibility matter for an ecommerce store?
A growing share of buying research now happens inside AI answers: "best espresso machine under $300," "most durable kids' backpack," "is brand X better than brand Y." The answer names a handful of products with reasons and links — and the engines pick products whose pages they can actually read: complete Product schema with price and availability, concrete specifications, and descriptions that answer real buyer questions. Thin templated pages and broken schema are invisible to that selection, no matter how well they convert.
Shopping-answer audit
Sees how ChatGPT, Perplexity, and AI Overviews answer the buying questions in your category — and which products and stores get named instead of yours.
Catalog signal checks
Product schema completeness, thin product descriptions, category indexing, faceted-navigation waste, and buyer-question content gaps — every issue surfaced with evidence.
Executed catalog fixes
Corrected schema, rewritten descriptions, and buyer-question FAQ blocks arrive drafted as action cards. You approve, the agent ships, Kloovy verifies the citation.
What does the ecommerce audit check?
- How AI engines currently answer shopping queries in your category — and whether your products are named
- Product schema completeness: price, availability, ratings, and identifiers the engines require
- Thin or templated product descriptions that give the engines nothing to quote
- Category structure, indexing, and faceted-navigation crawl waste
- Buyer-question content gaps — the comparisons and FAQs shoppers ask AI engines
- Competitor products the engines cite instead of yours, and why
Frequently asked questions
Do AI engines recommend products and stores?
Yes. ChatGPT, Perplexity, and Google AI Overviews answer questions like "best running shoes under $150" with named products, comparisons, and links to the stores they trust. The engines choose products they can read clearly: complete product schema, concrete specifications, and content that answers buyer questions.
What does Kloovy check on an ecommerce site?
The audit covers Product schema completeness (price, availability, ratings), thin or templated product descriptions, category indexing and faceted-navigation waste, buyer-question content gaps, and how AI engines currently answer shopping queries in your category — including which competitors get named instead of you.
Can the agent fix product schema automatically?
The agent prepares every fix as an action card — corrected Product schema, rewritten product descriptions, buyer-question FAQ blocks — and ships it only after you approve. Every change is tracked and reversible with one click, and Kloovy re-checks the engines afterward to verify the result.
Are your products in the answer?
Enter your store's domain and Kloovy grades your AI visibility — including the catalog fixes its agent has already prepared.
Get your free AI visibility snapshot