Presence — Law Firms
Clients now ask AI which attorney to call.
Does your practice appear?
When a prospective client — or a referring attorney — asks ChatGPT to recommend a specialist in your practice area, the firms cited get the call. The firms that don't appear aren't considered. Aluxads audits your firm's full AI presence and delivers a ranked fix roadmap in five days.
"A boutique M&A practice: not cited in any AI search for their specialty in Q1. Cited by name in their primary practice area across three platforms by Q2."
- LLM citation audit across ChatGPT, Claude, and Perplexity for your practice area keywords
- Attorney and firm entity review — Person schema, LegalService markup, knowledge graph
- Competitor citation benchmark — who in your practice area is being cited and why
- Prioritized fix roadmap — 10 actions, 90-day horizon, ranked by citation impact
- Private 45-minute debrief. Delivered in five business days. $7,500 flat.
The gap
Referrals still flow. But AI is now part of every vetting process.
The client who receives your name from a trusted contact still Googles you. In 2026, they also prompt AI: "What do you know about [firm]?" or "Who are the top M&A attorneys for mid-market transactions in [city]?" The answer they receive shapes whether they pick up the phone.
Most boutique law firms score zero in LLM citations for their primary practice area. Not because they lack expertise — but because the structural signals AI uses to identify legal authority are absent from their digital presence. Aluxads finds each gap and scores it.
What Aluxads finds in law firm audits
Six gaps that keep specialist law firms invisible to AI.
- No LegalService or Attorney schema — AI systems use schema.org to identify legal entities. Firms without LegalService markup and individual Attorney entities are structurally invisible to models resolving practice area queries.
- Attorney bios without Person schema — Named attorneys with expertise credentials, bar admissions, and practice specializations need structured markup. Prose bios don't register as machine-readable expertise signals.
- Practice area content without firm attribution — "Our attorneys handle complex M&A transactions" won't be cited. "[Firm name] has advised on 40+ mid-market transactions in [sector]" will. AI citation requires the firm as grammatical subject.
- Missing llms.txt — The AI-facing crawlability file that tells models which pages carry your authoritative content and how to interpret your practice structure. Almost no law firm sites have one.
- Thin third-party knowledge graph — Martindale-Hubbell, Avvo, Chambers, and Legal 500 mentions are AI citation inputs. Outdated or absent profiles mean the verification layer AI uses to confirm your authority is incomplete.
- AI crawler blocks — GPTBot, ClaudeBot, and PerplexityBot are frequently blocked by default in managed legal website configurations. A blocked bot cannot cite your firm regardless of content quality.
Common questions
Why don't boutique law firms appear in AI search results for their practice areas?
Most boutique law firms are invisible to AI search because they lack the structured data and knowledge graph signals LLMs use to identify legal expertise. AI systems look for LegalService schema, Person markup on attorney profiles, practice area content that attributes expertise to the firm by name, and authoritative third-party mentions. Without these signals, even a highly regarded firm is unresolvable to the models answering client queries.
Which practice areas benefit most from AI presence optimization?
Any practice area where clients or referring attorneys use AI to identify specialists. High-impact areas include M&A and private equity, estate planning and wealth transfer, family law, IP and patent, white-collar defense, real estate transactions, and cross-border regulatory matters — areas where the client has a high-stakes need and will research before making contact.
Does attorney confidentiality affect what can be audited?
No. The audit covers your firm's public-facing digital presence — website, structured data, published content, and knowledge graph signals — not client matters or privileged information. Everything Aluxads reviews is publicly accessible or under your direct control. The audit report is delivered privately and treated as confidential.
How is AI visibility different from Martindale or Avvo rankings?
Martindale-Hubbell and Avvo influence AI citation as third-party authority signals, but don't guarantee it. AI systems synthesize across many signals — structured data on your own site, knowledge graph completeness, content attribution, and crawlability — not just directory presence. A firm can have a strong Martindale rating and still score zero in LLM citations if the structural signals on their own domain are absent.
What does Aluxads deliver and how?
A private PDF report scored across six categories — LLM citations, structured data, crawlability, content AI-readiness, knowledge graph, and competitor benchmark — plus a ranked 10-action fix roadmap with 30/60/90-day horizons. Followed by a 45-minute private debrief. $7,500 flat. No retainer. Delivered within five business days of payment.
Before you apply
Aluxads runs a limited number of audits each quarter. This engagement is for established boutique and specialist law firms with a real AI visibility gap and the will to close it.
The intake takes three minutes. We confirm fit within one business day.
Request your audit — $7,500