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’s Security score of 94/100 shows a robust protection posture, which is vital for a Finance & fintech ecommerce platform. However, both GEO (AI-citation readiness) and AEO (answer-engine readiness) sit at 0/100, indicating a critical gap in AI visibility and missed traffic from AI-driven answers. Implementing Product structured data with Offer and AggregateRating schema will immediately boost AI crawlability and unlock AI-driven discovery.
Ask it what a customer would ask you. It answers only with what is written on the pages of bhspecialty.com.
Hello! I’m the assistant for Berkshire Hathaway Specialty Insurance. 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 Organization or LocalBusiness markup was found. An AI answer will not recommend a shop it cannot identify as a business — this is the entity everything else hangs off.
Do: Add an Organization (or LocalBusiness, if you have a physical address) JSON-LD block to the homepage with name, url, logo, and your social profiles in sameAs.
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.
Automated snapshot generated by Tadaaah from public data. Re-run the audit for the latest version.