Type your firm name. We run the prompts injury victims actually type — "best motorcycle accident lawyer near me," "who do I call after a truck wreck" — across ChatGPT, Perplexity, Gemini, and Google AI Overviews. You see the answer. Including whether your firm shows up at all.
Of organic clicks lost when an AI Overview appears. Traffic doesn't vanish — it routes to the firms AI actually cites.
Of personal injury firms surface in AI answers at all. Most metros have one dominant firm. The rest are invisible.
Correlation between Google SEO rank and AI visibility. Being #1 on Google does not transfer. Different game, different rules.
// Sources: LawShift internal research (2025–2026), supplemented by published industry data on AI search behavior. Detailed methodology and source list available at /methodology.
A law firm is AI invisible when AI search engines — ChatGPT, Perplexity, Gemini, and Google AI Overviews — do not return the firm's name when a consumer asks for a lawyer. The firm exists. It has a website. It may rank well in Google. It still does not appear in the model's answer.
This matters because the entry point for hiring a lawyer has moved. A growing share of "I just got rear-ended, who should I call" questions are typed into AI first, Google second, and a billboard third. The AI answer is the new shortlist. If the firm is not in it, the firm is not being considered.
Invisibility is not a reputation problem. Firms with twenty-year track records and four-figure review counts are routinely invisible. It is a signal problem — AI engines build answers from a specific set of inputs (citations, structured data, third-party authority sources, semantic context) that traditional law firm marketing rarely produces.
No fluff, no email gate, no "request a demo." Type, submit, see your verdict. We run the same prompts a real client would ask — and show you what each AI engine returned.
Just the basics. We need to know who we're checking and where. Takes ten seconds.
ChatGPT, Perplexity, Gemini, and Google AI Overviews — using the actual prompts real injury victims type.
Verdict on screen in 60 seconds. Per-engine breakdown. Who appeared. Who didn't. What they said about you.
These are the four engines your future clients are using right now to decide which lawyer to call. If you're not in their answer, you're not in the consideration set.
OpenAI's flagship. When a consumer asks "best lawyer for my situation," GPT-4o returns three to five firm names. We run the prompts that match your practice area and metro — and check whether yours is in the list.
Citation-heavy. Returns sourced answers with footnotes. We test the research-mode prompts injury victims use before calling — the kind of user who reads everything first. Perplexity surfaces firms with strong third-party authority.
The default Android assistant. Pulls heavily from Google Business Profile, reviews, and local-pack data. Firms invisible here are typically missing structured local signals AI engines can parse.
The AI summary stacked above traditional search results. Drives a 61% drop in organic clicks when it appears. We test whether your firm is cited inside the overview — or whether the overview points clients elsewhere.
AI engines do not rank lawyers the way Google ranks pages. They reconstruct an answer from training data, retrieved sources, and structured signals. Five factors decide who gets named.
How often the firm is named on third-party sources the model trusts — legal directories, news outlets, association rosters, peer-review platforms. Volume matters less than the authority of the sites that cite the firm.
Whether the firm's site emits clean schema markup — Attorney, LegalService, Review, FAQPage. AI engines parse this directly. Without it, the firm reads as undifferentiated text and loses the comparison.
Pages that answer narrow questions — "uninsured motorist claim Tampa," "delayed-onset injury statute of limitations Florida" — earn more semantic weight than generic "personal injury" pages that say everything and surface nothing.
Review volume is a hygiene factor. Sentiment, recency, and the substance of reviews — "she explained my UM coverage clearly" — get pulled into the model's answer text. Generic five-star ratings without commentary contribute very little.
A firm cited on five high-authority legal sites with detailed context will beat a firm with twice the SEO traffic and no surrounding signal. AI engines reward the firm that appears to be part of the conversation, not the one that talks loudest about itself.
Every diagnostic returns the same five-line readout. Four engine results. One verdict. No interpretation needed — you'll know in one glance whether AI is sending clients your way or somebody else's.
Two firms in the same metro can have identical billboards, identical SEO rankings, identical reviews — and one is on the AI shortlist while the other is buying $480 clicks. The difference isn't size. It's signal.
If the diagnostic comes back red, you have a decision to make. Wait — and watch the competitor that already shows up in AI lock in another year of the cases worth taking. Or pull the signal stack apart and rebuild it for the engines actually delivering clients.
We built this diagnostic because we needed it for our own clients. The full audit — every prompt tested, every engine result, every named competitor, every fix prioritized — is what we run when a firm engages us at LawShift. Personal injury marketing veterans. On the last engagement, zero AI mentions to 43% engine coverage in six weeks.
The diagnostic queries the live consumer-facing engines using the actual prompts injury victims use today. We don't fake results. If your firm shows up, the scorecard says so. If it doesn't, it says that too. The marketing pitch comes after the truth, not instead of it.
Doesn't matter much. The correlation between Google SEO rank and AI visibility is 0.076%. AI engines are not pulling from your traditional rankings. They're pulling from a completely different set of signals — citations, structured data, third-party mentions — that most law firm SEO never touches.
No. Type the firm name and metro. Get the verdict. Leave. We don't gate the diagnostic. The full audit (the one with all four engine results in detail and a prioritized fix list) does require a conversation — but the basic verdict is free and ungated.
Because together they cover where roughly 99% of "find me a lawyer" AI queries happen today. ChatGPT for general consumer ask. Perplexity for research-mode users. Gemini for the Android default. Google AI Overviews for everyone who never leaves Google. Other engines (Claude, Grok, You.com) we monitor but don't yet recommend optimizing for.
AEO — Answer Engine Optimization — is the practice of making a website and its surrounding signal stack quotable by AI engines. SEO is about ranking a page. AEO is about being named in an answer. The mechanics are different: SEO weights backlinks and on-page content for a search algorithm; AEO weights structured data, citation context, and entity recognition for a language model reconstructing an answer. A law firm can dominate Google search and still be invisible in ChatGPT.
The most common reason: the firm has not been cited often enough on sources the model trusts. Other contributors include missing or thin schema markup on the firm's website, generic practice-area pages that don't answer narrow consumer questions, low-authority directory listings, and reputation signals AI cannot extract cleanly. The diagnostic above shows which engines fail. The full audit identifies the specific reasons and what to fix in what order.
Probably not — unless you have engineered for it. ChatGPT returns three to five firm names when a consumer asks "best [practice area] lawyer in [city]." Most firms are not in that list. The diagnostic on this page tests this directly. Type your firm name and metro and see whether GPT-4o cites you for the prompts your future clients are actually using.
It depends on starting position and metro. We have seen zero-to-43% engine coverage in six weeks when the signal stack is rebuilt from scratch. Saturated metros (NYC, LA, Houston) take longer because the existing leaders have larger citation surface area. Mid-sized metros move faster — there's less to displace.
Almost never. AI engines do not pull from Google's paid auction. They pull from organic signals — citations, structured data, third-party authority sources, semantic context. Spending $40,000 a month on Google Ads will not move the needle in ChatGPT or Perplexity. This is one of the harder truths for firms whose growth has been built on ads.
LawShift. Personal injury marketing veterans. The diagnostic is the front door — the actual work is rebuilding your signal stack so AI engines start recommending you instead of the firm two miles down the road.
Find out where you stand. 60 seconds, no email, no signup. Just the verdict.
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