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.
Your site is highly readable by AI crawlers, scoring 94/100 on AI crawlability. Conversely, answer‑engine readiness sits at 0/100 (AEO), meaning the store cannot appear in AI‑generated answers, a critical gap. Implementing comprehensive Product structured data—including price, availability, and review ratings—will boost SEO, AI citation (GEO), and answer‑engine (AEO) scores most effectively.
Ask it what a customer would ask you. It answers only with what is written on the pages of studio.invia.ca.
Hello! I’m the assistant for IN VIA Studio. 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.
Automated snapshot generated by Tadaaah from public data. Re-run the audit for the latest version.