Law firms, accountants, financial advisors, and consultants live in the strictest YMYL category there is. We engineer the author entity, citation, and schema work that earns both Google trust and AI Mode citation eligibility.
Legal and financial buyers ask AI before they ever call. Google holds the vertical to the strictest E-E-A-T bar, and AI Overviews refuse to cite unsigned, uncredentialed content. The firms winning have verified attorney/CPA entities, citation-dense pages, and rigorous schema. We engineer all three.
Every practice area page gets a verifiable practitioner entity — bar admissions, credentials, sameAs to bar associations, and matching schema. AI refuses to cite unsigned legal content; we fix it at the source.
Practice area pages rewritten as buyer-education surfaces — answering the questions clients ask AI — with FAQ + LegalService schema layered for both rich results and AI Mode extraction.
Most firm sites have either one bloated office page or thin per-office stubs. We rebuild the architecture so every office and jurisdiction earns its own citation-eligible page.
AI Overviews and ChatGPT increasingly answer "do I need a lawyer for X" with named firms. We engineer the brand entity, citation publications, and answer blocks that get your firm named.
We can promise this because our methodology already works. Hundreds of pages now sit in position #1 across our clients' catalogs. The risk shouldn't be on you — it's on us.
Law firms, accounting firms, financial advisors, business consultants, and tax professionals all fit the framework. The schema and entity work differ slightly by credential body.
Our audit identifies every practice area page that lacks the E-E-A-T scaffolding (attorney entity, bar admissions, citations, reviewer disclosure). We prescribe the smallest set of fixes to get the page citation-eligible again.
Yes — and it already does. For specific practice areas and jurisdictions, AI Mode returns named firms with contact info inline. Firms without entity engineering get skipped. See /get-cited-in-ai-mode.
Three layers, in order. First, entity clarity: one canonical Organization with @id anchors, sameAs links to authoritative databases, and knowsAbout coverage of your real expertise. Second, extractable content: atomic answer blocks, comparison tables, transparent pricing and specs, and FAQ blocks on every commercial page. Third, corroboration: mentions in the roundups, directories, review platforms, and trade publications those engines retrieve. Measure it by probing a fixed set of buying questions monthly and tracking citation frequency per engine.
Citability. AI engines lift passages that answer one question completely in 40–80 words, in plain language, with a concrete number, definition, or list. Pages that bury the answer under narrative rarely get quoted. We rewrite key pages so every important question has a self-contained answer block, wrapped in schema that labels what it is.
Yes, because AI answers are built from indexed pages. Every major assistant retrieves from a crawled index, so pages that aren't crawlable, renderable, or structured never enter the candidate pool. Classic SEO is now the entry requirement for AI visibility, and the two programs share almost all of the same work.
Technical recovery and on-page work typically show movement in 30–60 days. AI citation lift on long-tail and comparison queries usually lands in 30–90 days. Category-level authority and head-term rankings are a 6–12 month curve. Every engagement ships a sequenced 90-day plan so early wins fund the long work.
You get a forensic audit, a prioritized 90-day execution plan with effort and impact scoring, and optional done-for-you implementation by our engineers and editors. Pricing is scoped per engagement based on catalog size, locale count, and whether you want execution included. Implement our 90-day plan and if you don't see results in 3–6 months, we refund you in full.
Audits scoped within 24 hours. Results within 90 days, or your money back.
Request Your Audit →