From the desk
Original writing on AI search, generative engine optimization, and law-firm marketing — by Shawn Lai. Each piece grounded in observed evidence, not opinion. New articles publish as the methodology produces them.
Latest articles
How AI-generated content can quietly cross state-bar advertising-rule lines, why generalist GEO agencies don't catch the violations, and the practitioner checklist for catching them before they ship.
The retrieval architecture in plain language, the five signals that actually move citation rates for legal queries, and what everyone fixates on that doesn't.
ForthcomingA quantitative study of 200 California firms across 4 AI engines, 60 days, 50 buyer-intent prompts. Pre-registered methodology, publishable either way. Q4 2026.
Avvo, Justia, JD Supra, Google Business Profile, and state/local bar. Five citation sources AI engines disproportionately pull from for legal queries — ranked by leverage, with operational checklists.
The most-referenced and least-quoted document in legal-vertical AI marketing. The guidance is more specific than the industry's general interpretation suggests — and the compliance work that protects the firm also lifts its AI-search citation rate.
Most marketing optimizes what AI engines display. The smarter work optimizes what they retrieve. Entity consolidation is the single highest-correlation signal for AI citation rate — and the work most agencies don't do because it's invisible to traditional SEO dashboards.
A week-by-week walkthrough of month one — the 50–100-prompt baseline, entity consolidation, the content-gap map, the compliance log, and the first PROOF Report. Specific enough to picture the engagement; specific enough to audit the method.
SEO checklists tell law firms to add ten kinds of schema. For AI search, a small subset does the real work — and structured data is still lawyer advertising. What to prioritize, what to skip, and the compliance tripwires.
We pre-registered a timeline for PROOF Series #1 and committed to disclosing any deviation over 30 days. The deviation happened. Here is the disclosure: data collection moves to September 1 – October 30, publication to Q4 2026. Nothing about the methodology changes.
Generic law-firm GEO advice misses what's specific about immigration: clients search in many languages, intent is urgent and high-stakes, and the law changes constantly. What actually gets an immigration firm cited by AI search — and the compliance tripwires that are sharper in this vertical.
A large share of the highest-intent immigration searches in the US are made in Spanish — and AI assistants answer in the language they're asked in. Most firms are invisible to that demand. Why machine translation doesn't fix it, the notario compliance trap, and what genuinely closes the gap.
Avvo, Justia, FindLaw, Martindale, Google Business Profile, the state bar — ranked by what actually moves AI-search citations, not backlinks. Plus the consistency rule that beats any single listing, and the ratings-and-badges compliance trap.
"What does it cost?" is the question most GEO agencies dodge. The honest answer is a range, because cost is scope against your firm's baseline. What actually drives the price, the sensible way to buy, and the pricing red flags to watch for.
The GEO category is new and every provider claims to do "AI." Seven concrete tests that separate a real GEO partner from a repackaged SEO retainer — measurement you can check, built-in compliance, legal-specific expertise, honest mechanics, low-risk terms, visible work, and self-honest claims.
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