Clients and GCs use ChatGPT, Claude, Copilot, Gemini, Perplexity, Google, and Bing to shortlist expertise before they contact a firm. The Legal AI Visibility Diagnostic shows whether your firm appears, how those systems describe it, and which sources support the answer.
Based on private audit work
The example below is illustrative and anonymized. The methodology mirrors private law-firm visibility audits: clean AI sessions, targeted legal-market prompts, platform-by-platform findings, competitor surfacing, and source-layer fixes.
Commission the fixed diagnostic for evidence and priorities. Request implementation when your team has an owner, budget, and authority to act on the findings.
A founder-led answer to how your firm is retrieved, framed, and supported across the AI discovery layer.
Need to confirm fit first? Share your context.
The same evidence layer, followed by hands-on implementation of the agreed fixes across the surfaces that matter.
Still researching the market? Use the free Legal AI Risk intelligence layer. Commission this work when a firm-specific answer will change a budget, positioning decision, or implementation plan.
The fixed diagnostic can start after payment. I review implementation requests personally and answer with a private Loom when the engagement fits.
Your implementation context is saved and a confirmation is on its way. I will review it personally. Qualified requests receive a private Loom with the proposed scope and next step within two business days.
Add context by emailA Legal AI Visibility Diagnostic is a snapshot of how AI platforms and search systems represent your firm when someone asks for a lawyer like you — whether you show up, how you are described, and which sources shape the answer.
It tests AI/search presence, practice-area visibility, source authority, competitor positioning, narrative accuracy, and risk signals — including outdated or misleading sources that may be surfacing about your firm.
Your firm name, website, work email, target market or practice area, and one important query or buying situation to test. Deeper internal workflow audits are a separate engagement.
No. The diagnostic is based on publicly visible signals and how AI/search systems respond to market prompts.
The Visibility Diagnostic tests the AI/search discovery layer across ChatGPT, Claude, Copilot, Gemini, Perplexity, Google, and Bing.
No. SEO is about ranking web pages in traditional search results. AI visibility is about whether AI/search systems retrieve and cite your firm correctly when users ask market prompts before they click.
Full visibility audits are delivered within 3–5 business days after scope and payment are confirmed.
The USD 249 diagnostic includes an AI visibility map, prompt and source findings, a prioritized fix list, and a private Loom walkthrough. Implementation engagements add execution, a validation rerun, and a documented handoff.
It includes the full visibility evidence layer followed by scoped implementation of agreed priority fixes, a measurement baseline, a validation rerun, and a documented handoff. Scope, owner, timeline, and commercial terms are confirmed before work begins.
Diagnostic details are saved before the secure USD 249 Wise payment opens. I review custom implementation requests personally and reply with a private Loom when the engagement is a fit. A live call is used only when it improves the scope.