Answered today by a language model from a live web search. Search results change, so a re-run can differ.
Asked of a language model without live browsing — what the model has absorbed about this market, not a search result fetched today.
Being listed on these puts you where an assistant reads before it answers. None of them does the work you do.
Put to a live web search — the pages an assistant reads before answering. Absent from these results it cannot cite you; present, it still might not.
Votre site excelle en SEO avec un score de 82/100, ce qui montre que les moteurs de recherche le trouvent déjà pertinent. En revanche, l'AEO est à 2/100, indiquant que vos pages ne sont pratiquement pas prêtes à être citées dans les réponses d'IA, ce qui représente la perte la plus coûteuse. Ajouter des données structurées produit (schéma Offer, AggregateRating, date de mise à jour) est l'action unique qui boostera à la fois le SEO et l'AEO, améliorant ainsi votre visibilité et vos ventes en ligne.
Ask it what a customer would ask you. It answers only with what is written on the pages of kulshanvet.com.
Hello! I’m the assistant for Kulshanvet. What would you like to know?
A Tadaaah demo. This is an AI assistant: it can make mistakes.
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This looks like an online store, but no Product schema was found. AI shopping answers and Google Shopping rely on it to understand your items.
Do: Add Product JSON-LD to product pages with name, image, description, brand, and an Offer (price + availability).
No Offer markup (price / availability) was detected. AI answers cite concrete price and in-stock facts.
Do: Include an Offer node (price, priceCurrency, availability) inside each Product.
No AggregateRating/Review markup was found. Star ratings and review counts are among the strongest signals AI shopping answers surface as social proof.
Do: Collect product reviews and expose them as AggregateRating (ratingValue + reviewCount) in Product schema.
Nothing on the page carries a date a machine can read. Generative engines prefer facts they can tell are current, and a store with no dates anywhere reads as undated rather than fresh.
Do: Add <time datetime="YYYY-MM-DD"> to new arrivals, restocks and journal posts, and dateModified to your Product and Article schema.
Only 2 Google review(s) detected — thin social proof for the local pack.
Do: Ask happy customers for Google reviews; a steady stream (20+) builds real local trust.
No service area / "areas we serve" signal was found — important for businesses that travel to clients.
Do: List the cities/regions you cover on the page and in the schema `areaServed` property.
No AggregateRating/review markup was found — star ratings drive clicks in the local pack.
Do: Surface your existing Google reviews on the page as an AggregateRating (real, verifiable counts) so search engines and AI see the proof.
Automated snapshot generated by Tadaaah from public data. Re-run the audit for the latest version.