AI Visibility Intelligence

See how AI search represents your firm—and what to fix first.

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.

Platforms tested
ChatGPT Claude Copilot Gemini Perplexity Google Bing
No internal systems, client files, or confidential data required. We test your public-facing AI/search footprint.

“Search traffic tells you who found you.
AI referral leakage tells you who almost did.”

If AI answers the question before the user clicks, your website may never enter the journey.

What the Diagnostic reveals

01
AI Search Presence
Whether your firm appears in relevant prompts across major AI systems and search surfaces.
02
Practice-Area Visibility
Whether AI connects your firm to the work you actually want to capture (not generic categories).
03
Source Authority
Which pages, directories, and third-party mentions shape the model’s answer about your firm.
04
Competitor Positioning
Which firms or alternatives appear beside or above you — and why they win the slot.
05
Narrative Accuracy
Whether the description of your firm is current, specific, and strategically useful (or outdated/vague).
06
Risk Signals
Whether weak or misleading sources are surfacing instead of your own most defensible data layer.

What you receive

Deliverables
01
AI Visibility Map
Where you appear, where you don’t, and which competitors surface instead — across the AI/search discovery layer.
02
Prompt & Source Findings
The prompts tested and the pages, citations, and third-party references shaping the answer about your firm.
03
Fix Priority List
A ranked list of the highest-leverage content, schema, and positioning fixes to improve first.

Based on private audit work

See what a diagnostic finding looks like.

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.

Methodology
Clean sessions No login No personalization Public-facing footprint only 5–30+ prompts (by level)
Prompt tested
“Best law firms for AI governance for mid-market companies”
Result
Not surfaced
Competitors surfaced
5
Source issue
Recommended fix
Illustrative example only. Actual findings depend on your firm, market, practice area, and public source footprint.

Choose the answer you need.

Commission the fixed diagnostic for evidence and priorities. Request implementation when your team has an owner, budget, and authority to act on the findings.

Audit + Implementation
Scoped engagement

The same evidence layer, followed by hands-on implementation of the agreed fixes across the surfaces that matter.

Scope, owner, timeline, and success measure confirmed first
Best for: a team ready to fund execution and assign an internal owner—not just collect recommendations.
  • Everything in the Visibility Diagnostic
  • Priority technical and content implementation
  • Source-layer and entity alignment
  • Measurement baseline and validation rerun
  • Defined handoff with what changed and what remains
Request implementation scope

Who this is for

Built for
01
Law firm leaders
A clear read on whether the market can find the firm inside AI-mediated discovery.
02
CMOs / BD teams
Visibility, positioning, and which sources are shaping the firm’s public narrative.
03
Innovation teams
A baseline that connects internal AI adoption to external market perception.
04
Legal tech founders
How your product and category appear across AI/search systems — and what assets are missing.
05
In-house teams
A public-footprint view of how vendors, firms, and competitors surface in AI/search answers.
06
Boutique / specialist firms
Whether specialist expertise is being retrieved and described correctly (or flattened into generic labels).

Commission the diagnostic or request implementation.

The fixed diagnostic can start after payment. I review implementation requests personally and answer with a private Loom when the engagement fits.

No internal access required. No client files. Public footprint only.
Fit and current availability
Evidence you can inspectIf Google or an AI system led you to AI Vortex, you have seen the discovery layer this work measures.
2 August implementation openings remainPriority goes to teams with an accountable owner, an approved budget range, and authority to act.

FAQ

What is a Legal AI Visibility Diagnostic?

A 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.

What does the diagnostic test?

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.

What do you need from us?

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.

Do you need access to internal systems or client data?

No. The diagnostic is based on publicly visible signals and how AI/search systems respond to market prompts.

Which platforms do you test?

The Visibility Diagnostic tests the AI/search discovery layer across ChatGPT, Claude, Copilot, Gemini, Perplexity, Google, and Bing.

Is this SEO?

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.

How long does delivery take?

Full visibility audits are delivered within 3–5 business days after scope and payment are confirmed.

What do we receive?

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.

What is included in Audit + Implementation?

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.

What happens after we submit?

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.