pjclaw.net/
Peter J. Cramer – Immigration Lawyer
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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.
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 scores an excellent 92 on AI crawlability and 91 on Accessibility, meaning search bots and users can read it easily. However, GEO (AI‑citation readiness) and AEO (answer‑engine readiness) are both stuck at 10, indicating a severe missed opportunity for AI‑driven referrals. Adding comprehensive Product structured data—including Offer and AggregateRating schema—will directly raise those scores and drive the biggest lift in overall performance.
Ask it what a customer would ask you. It answers only with what is written on the pages of pjclaw.net.
Hello! I’m the assistant for Peter J. Cramer. What would you like to know?
A Tadaaah demo. This is an AI assistant: it can make mistakes.
$29 CADa month, on top of PRO
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.