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The solo lawyer's guide to getting found in AI search

Solo and small-firm lawyers face a specific AI-search problem. Here's what changes, what stays the same, and the four moves that win.

A solo lawyer's path to new clients has changed in the last 18 months, and not in a small way.

Until recently, the playbook was simple. Buy Google Ads on practice-area keywords, pay $50 to $150 per click for personal injury or family law terms, hope your website converted well enough to make the math work. Some firms layered in organic Google rankings as a long-term play. A few invested in directory listings, Avvo, and bar association profiles.

That playbook still works. It isn't the whole picture anymore.

A meaningful percentage of high-intent legal queries now route through ChatGPT, Perplexity, Claude, and Google AI Overviews before they ever touch a traditional search results page. A potential client who needs estate planning, who needs a business attorney for an LLC formation, who needs help with a probate dispute, who's facing a DUI, increasingly starts the conversation with an AI assistant. The assistant gives them two or three names. The phone rings for those names. The firms not mentioned never get the call.

This post is about how a solo or small firm wins in that new dynamic.

What's actually different in AI search

In traditional Google, a query like "estate planning attorney Tampa" produces a ranked list. You see ten firms. The user clicks one or two and compares.

In AI search, that same query produces a summary. The engine writes two paragraphs that recommend two or three firms by name. The user reads the summary and clicks one. The other seven firms that would have appeared in the traditional list don't make the cut.

The implication is concentration. Where traditional Google rewards being in the top ten, AI search rewards being in the top three. That tightening favors firms that produce content the engines can confidently cite.

The good news is that "content the engines can confidently cite" is largely a structural problem. It isn't about being a 50-person firm or having a $20,000 monthly marketing budget. It's about writing pages that AI engines find easy to read, summarize, and quote.

Move one: dedicated practice-area pages, not catch-all umbrellas

The dominant failure mode on solo-lawyer websites is the "Practice Areas" page. One page, ten bullet points, a sentence about each.

Wills and Trusts. Probate. Business Formation. Real Estate. Civil Litigation. Each one a bullet. None of them a real page.

An AI engine asked about probate in your county has nothing to cite. Your bullet point says "we handle probate." Great. So does every other firm. The engine picks the firm with the actual probate page.

The fix is per-practice-area pages, each one substantial. 1,200 to 2,500 words. Written for clients, not for other lawyers. Real questions, real answers, real numbers where you can give them.

A probate page should cover: what probate is in your state, how long it typically takes, what it costs, who needs it, common complications, when to hire a lawyer versus self-represent, what your firm does specifically. Add an FAQ section at the bottom with the questions clients actually ask in initial consultations.

That single page outperforms a competitor's bullet point on every measurable axis: Google ranking, AI search citation, time on page, conversion to consultation.

Move two: structured data the engines can read

Structured data is a JSON-LD block embedded in your website's HTML. It tells search engines exactly what the page is about in a format they understand without ambiguity.

For a law firm, three types matter.

LegalService schema on practice-area pages. This says "This page is about a specific legal service. Here's its name, where it's offered, what kind of cases it handles."

Attorney schema on each lawyer's biography page. This says "Here's a specific lawyer. Here's their name, jurisdictions, bar admissions, years of experience, specialties."

FAQPage schema on any page with a real FAQ section. This is the biggest of the three. AI engines preferentially cite FAQPage-marked content because the markup makes the question and answer unambiguous.

Most law firm websites have none of this. The ones that do leap ahead of competition that hasn't caught up yet.

Move three: target queries that match how clients actually search

Sit at the front desk for a week and write down every question a prospective client asks. Then write down every search query you'd guess they typed before they called.

Not "estate planning Tampa." Real queries:

"How much does a will cost in Florida?"

"Can I do probate myself in Hillsborough County?"

"What happens if my parent dies without a will in Florida?"

"How long does an LLC formation take in Tampa?"

"Do I need a lawyer to evict a tenant?"

Each of those questions is a page. The page literally answers the question in the first paragraph with a real number or a real explanation. Then it gets into the nuance and the caveats and the variables. Then it ends with a clear next step: "If this is your situation, schedule a 15-minute consultation."

AI engines love this format because the structure mirrors how they generate answers. A page that opens with "A simple will in Florida typically costs $300 to $800. A more complex estate plan with trusts and tax planning runs $1,500 to $5,000." is far more citable than a page that opens with "Estate planning is an important consideration for individuals and families..."

Move four: a Google Business Profile that's actually maintained

Google Business Profile is still the single biggest local search signal. For lawyers it does two things at once: it's where Google decides whether to show you in local pack results, and it's where the AI engines pull location, hours, and review data when answering local-attorney queries.

What works for a solo or small firm:

Complete the profile fully. Every field. Practice areas listed as services, with descriptions. Hours of operation. Languages spoken. Wheelchair accessibility. Accepted payment methods.

Post on the profile monthly. Recent case results (within ethics rules for your jurisdiction), new attorney hires, holiday hours, community involvement. The profile is meant to be active.

Respond to every review. Five-star ones get a thank-you. Negative ones get a calm, professional response that doesn't reveal client information and doesn't take the bait. Future clients reading your reviews care more about how you respond to the bad ones than about the bad ones themselves.

Photos updated quarterly. The front of the office, the conference room, the team, the parking situation. Stale profiles get deprioritized by Google's local algorithm.

What this doesn't change

A few things haven't changed, and probably won't, that are worth saying out loud.

Word of mouth is still the dominant referral source for most established small firms. AI search is additive to that channel, not a replacement. A firm with strong client relationships and an active referral network plus a strong AI search presence outperforms either one alone.

Conflict-of-interest rules still apply to everything you publish. AI-generated content is your content the moment it goes up under your firm's name. Review it. Don't let the model invent legal advice. Stay sober about state-specific nuance.

Some legal categories are off-limits or heavily restricted in some jurisdictions. Family law marketing carries specific rules in some states. So does personal injury. Know your bar's rules before you publish, especially around testimonials and case results.

How Scowty fits

A typical solo lawyer reading this post is looking at thirty to fifty hours of work to implement properly. Most of it is writing. The rest is structured-data implementation, Google Business Profile cleanup, and ongoing publication.

Scowty does all of that as a single conversation with an AI agent. You answer a brand discovery questionnaire. You confirm the practice areas and jurisdictions you actually serve. Our AI builds the site, writes the content, adds the structured data, and publishes. You review and approve.

For the firms whose situation fits, we exclude family law, probate, and civil litigation in Colorado specifically (a conflict-of-interest rule from one of our founders' other practices), but the rest of the country and the rest of the practice areas are open.

Drop your email on the homepage to be notified when we open. Or send a note to hello@scowty.com if you want a conversation now.

Frequently asked questions

Are AI search engines actually being used by people looking for a lawyer?+
Yes. The fastest-growing legal-marketing trend in 2025 was clients arriving with a ChatGPT or Perplexity recommendation in mind. Younger clients especially start in AI search and only open Google for verification. A solo or small firm not appearing in those conversations loses the lead before they ever knew it existed.
What kind of structured data should a law firm website have?+
Three types do most of the work. LegalService schema on each practice-area page, Attorney schema on each lawyer's bio, and FAQPage schema on any page that answers common client questions. Together these tell AI engines what the firm does, who works there, and what specific client questions you've answered. Most firm websites have none of this.
Can a solo lawyer compete with a 50-person firm in AI search?+
Yes, in narrow ways. Big firms have brand recognition and broad-stroke pages that cover many topics shallowly. A solo lawyer who writes ten deeply researched pages about one specific practice area in one specific jurisdiction beats a big firm on those queries every time. The AI engines reward depth over breadth.
How does the conflict-of-interest rule apply to AI-generated legal content?+
AI-generated content is still content. Your firm is responsible for it the same way you're responsible for anything else published under your name. Review every page before it goes live. Keep clinical accuracy in-house. Make sure the content doesn't accidentally create a duty to someone you haven't formally engaged.
What's a realistic timeline to see results?+
Three to six months for traditional Google rankings on competitive queries. Four to twelve weeks for AI search citations on long-tail queries with the right content and structured data in place. The compounding effect kicks in around month six: once a few pages are getting cited, the engines learn to trust the domain and pull from it more often.