frerichslaw.com/
Frerichs Law Office - Waterloo, IA
Not read yetPage 1 of 8
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’s strongest point is Security at 94/100, indicating robust protection for client data. The most costly gap is AEO at 2/100, meaning the site is virtually invisible to AI‑driven answer engines that potential clients increasingly rely on. Implementing comprehensive Product structured data—including Offer schema for price and availability and AggregateRating for reviews—will dramatically boost AI answer readiness and drive qualified traffic.
Ask it what a customer would ask you. It answers only with what is written on the pages of frerichslaw.com.
Hello! I’m the assistant for Frerichs Law Office. 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.
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.
No link to a Google Business Profile or local directory was found.
Do: Link your Google Business Profile and key directories from the site (and via schema `sameAs`).
Automated snapshot generated by Tadaaah from public data. Re-run the audit for the latest version.