
Free Implementation Checklist · 9-Page PDF
The AI Search Visibility Checklist
Get cited by AI Overviews, ChatGPT, and Perplexity
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Download this guide: The AI Search Visibility Checklist
9-page PDF for personal injury firms. Enter your work email and the PDF is served right after a 30-second form.
What this guide covers
A growing share of injury victims now get their first answer from an AI system rather than a list of blue links. Those systems do not rank pages so much as decide which entities to name — and a firm that is invisible at that layer loses the case before the click ever exists.
This checklist covers the specific signals that determine whether generative engines can identify, trust, and quote your firm: entity consistency across every profile, passage-level content structure, external corroboration, and a measurement method for citation share. It closes with a 90-day sprint to work through the gaps in priority order.
Who it's written for
- Firms already ranking organically but absent from AI Overviews
- Marketing directors asked by partners what the firm is doing about ChatGPT
- Firms auditing whether their content is structured for extraction
- Anyone who needs a defensible way to measure AI visibility
Chapter by chapter
How generative engines choose sources
What retrieval and citation actually reward, and why it differs from classic ranking factors.
The entity consistency checklist
Firm name, attorney identities, addresses, and credentials across every profile a model may encounter — and what a single mismatch costs.
Structuring passages to be quoted
Self-contained answers, question-shaped headings, and the specificity that makes a paragraph safe for a model to reuse.
External corroboration
Why models weight independent mentions above your own claims, and which sources carry weight in legal contexts.
Measuring citation share
A repeatable prompt-set method for tracking whether your firm is being named — and by which engines.
The 90-day sprint
Gap closure in priority order, from entity cleanup through content restructuring to corroboration work.
Key takeaways
Generative engines resolve entities before they select passages
A quotable paragraph must survive removal from its page
Independent mentions outweigh self-description in model trust
AI visibility is measurable — but only against a fixed prompt set
Get the full 9-page PDF
A field checklist for the entity signals, content structure, and external corroboration that determine whether generative search engines name your firm — plus a 90-day sprint to close the gaps.
Frequently asked questions
How do I get my law firm cited in Google AI Overviews?
Citation follows three conditions in order: the model must resolve your firm as a distinct, consistently described entity; your pages must contain self-contained passages that answer a specific question without surrounding context; and independent sources must corroborate what your pages claim. The checklist works through each condition as a verifiable list rather than as advice.
Does traditional SEO still matter for AI search?
Yes — most generative systems retrieve from the same crawled index, so pages that cannot be found conventionally are rarely candidates for citation. AI visibility work is additive to organic SEO, not a replacement for it. The relationship is covered in detail in our AI SEO versus traditional SEO comparison.
Can I track whether ChatGPT or Perplexity mentions my firm?
Yes, with a fixed prompt set run on a regular schedule. The checklist includes the method: define the prompts a prospective client would plausibly ask, run them consistently across engines, and record which firms are named. Absolute counts matter less than your share relative to the competitors that appear alongside you.
How long does AI visibility work take?
Entity cleanup can register within weeks because it depends on profile data rather than earned authority. Passage restructuring and corroboration work follow the ordinary content and link timelines — expect three to six months for citation share to move meaningfully.
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