By Marc Apple ● ● 11 min read
Table of Contents
TL:DR Your prospective clients are asking ChatGPT who to hire before they ever open a search results page and if your firm isn't showing up in those answers, you're being handed to a competitor without anyone checking your track record.
Do this right now if you haven’t already.
Open ChatGPT. Type: “Who are the best [your practice area] attorneys in [your city]?”
Read what comes back.
If your firm isn’t in the answer, you just watched a potential client get handed to someone else. Not by a paid ad. Not by a competitor with a bigger budget. By an AI tool that made a recommendation based on everything it knows about your market, and apparently doesn’t know enough about you.
This is happening thousands of times a day in every metro market in the country. Prospective clients with real legal problems are asking AI tools for attorney recommendations before they ever look at a search results page. Most law firms have no idea it’s happening. The ones that do have no idea what to do about it.
This article is about what to do about it.
What the Google Results Page Actually Looks Like Right Now
Let’s start with what an attorney searching for a lawyer actually sees right now.
A Google search for “personal injury attorney Atlanta” today returns results in this order: a Gemini-powered AI Overview at the top, then Local Service Ads, then PPC ads, then the Google Map Pack, then People Also Ask, then organic blue links.
By the time a prospect reaches the first organic result, what used to be the prize worth fighting for, they’ve already scrolled past six separate sections. AI Overviews now appear across a large share of Google queries and push traditional organic listings farther down the page.
Organic position one isn’t gone. It still matters. But it’s now effectively position six on the page.
That’s the environment your marketing is operating in. And that’s before accounting for the growing share of prospects who skip Google entirely and go straight to ChatGPT, Perplexity, or Gemini to ask for a recommendation directly.
It’s Already Happening, Here’s the Proof
Sammy Kim is a bilingual tax controversy attorney who built her practice from scratch after leaving a large firm.
She is now one of the few attorneys in the country whose name comes back when someone asks an AI tool for help with an IRS matter.
That’s not a claim. It’s confirmed in her analytics. Referral traffic from chatgpt.com, perplexity.ai, claude.ai, and gemini.google.com shows up in her data, real visitors arriving through AI-generated recommendations, not Google, not paid ads. Real people who asked an AI who to call and got her name. When those visitors book a paid consultation, they convert at 95%.
They arrive already convinced. The AI did the convincing before they ever found her website.
That’s what’s at stake. That’s the difference between a firm that shows up in AI search and one that doesn’t.
Why AI Search Is Different From Google Search
For twenty years, law firm marketing has been built around one premise: show up when someone searches.
AI tools change that premise.
ChatGPT, Perplexity, Gemini, and Claude don’t return a list of links. They synthesize. They read the web, evaluate sources, and produce a recommendation. The person asking gets an answer, something that sounds like advice from a knowledgeable friend, not a page of results to sort through.
The psychological weight of that recommendation is different from a search result. It carries implicit authority. And for high-stakes decisions like hiring an attorney, that authority moves people.
AI tools are learning which sources to trust right now. The authority signals they’re developing today will determine who gets recommended for years. The firms establishing themselves as credible, citable sources now carry that advantage forward. The firms waiting to see how it “shakes out” are watching that advantage go to someone else.
How AI Tools Decide Who to Recommend
This is where most attorneys, and most marketing agencies, get lost.
AI tools don’t have a keyword ranking algorithm. They build recommendations from signals that together answer one question: Is this source credible and authoritative on this topic?
Here’s what those signals are.
Content depth. A firm with fifty substantive pages covering every aspect of their practice areas gives an AI tool far more to work with than a firm with a five-page website. Thin content footprint means thin AI visibility.
Direct answers to specific questions. AI tools are built to match questions to answers. A page that directly answers “What should I do immediately after a car accident in Georgia?”, step by step, in plain language, is more likely to be cited than a page that talks generally about car accident representation. This is answer engine optimization in practice.
Third-party citations and mentions. When authoritative websites reference your firm, legal directories, bar association mentions, local news, guest articles in legal publications, AI tools register that as a credibility signal. An attorney mentioned across ten authoritative sources carries more AI search weight than one with a well-designed website nobody links to.
Google Business Profile and local signals. For location-based queries, AI tools lean heavily on local SEO infrastructure. Profile completeness, review volume, review quality, citation consistency. These are the same signals that drive Google Maps rankings, and they feed directly into local AI search recommendations.
Review volume. A firm with 200 Google reviews averaging 4.9 stars sends a different signal than a firm with 18 reviews. The top law firms in competitive metro markets average over 200 Google reviews. Many law firms have fewer than 20. That gap shows up in AI recommendations.
Cross-platform consistency. AI tools see the whole web. A firm appearing consistently on LinkedIn, YouTube, legal directories, their own blog, and third-party publications, always speaking to the same practice areas, builds a coherent identity AI tools can summarize confidently. A fragmented presence is harder to synthesize. Harder to synthesize means less likely to be recommended.
Here’s a number that should concern every attorney reading this: only 11% of domains get cited by both ChatGPT and Perplexity. Being strong in one doesn’t carry over to the other. Each AI tool builds its own picture of who the authoritative sources are. You have to be present everywhere they’re looking.
Google AI Overviews: The Gemini-Powered Answer Above Everything Else
Google’s AI Overviews, now powered by Gemini 3, which became the default model globally in January 2026, sit at the very top of the search results page, before LSAs, before PPC, before the Map Pack, before any organic result.
For attorneys, this is simultaneously the biggest threat and the biggest opportunity on the page.
The threat: a user who reads the Overview and gets a complete answer may never scroll down to where your firm ranks. The Overview absorbs the intent. Your position-one organic ranking still gets fewer clicks than it used to because attention is being captured before it reaches you.
The opportunity: if your firm gets cited as a source in the Overview, you appear above everything. Before LSAs, before PPC, before the Map Pack. In a format that carries the implicit endorsement of Google’s AI. That is the most prominent position on the modern search results page.
Getting cited in AI Overviews requires the same signals as broader AI search visibility, with a few additions.
Schema markup. Structured data that tells Google exactly what your firm does, where you’re located, what practice areas you cover, and what credentials your attorneys hold gives the Gemini-powered system cleaner data to summarize. Firms without schema markup are harder for Google’s AI to describe accurately.
FAQ sections. Google’s AI Overviews frequently pull from FAQ sections that directly answer questions people search. A practice area page with a well-built FAQ, specific to your state’s law, your market, your practice area, gives the Overview system discrete, citable answers. Each FAQ entry is a potential citation.
Topical authority. AI Overviews pull from pages Google already considers authoritative. That means traditional SEO work, backlinks, consistent content, technical site health, feeds directly into AI Overview visibility. They’re not separate strategies. They’re the same strategy at different layers.
Perplexity and ChatGPT: Where the Decision Gets Made
Google AI Overviews are the most visible AI search feature because they appear inside Google Search. But ChatGPT and Perplexity may matter more for attorney recommendations because of how people use them.
When someone searches Google for “personal injury attorney near me” they’re in search mode, browsing options. When someone opens Perplexity and asks “who should I hire for a personal injury case in Atlanta and why,” they’re in decision mode. That’s a fundamentally different intent. The person in decision mode is closer to calling.
Perplexity cites its sources directly. Every recommendation links back to the pages it pulled from. Getting cited by Perplexity is both a recommendation and a backlink, a credibility signal that compounds as more people click through and engage with that content.
ChatGPT in browsing mode works similarly, synthesizing from current web content, favoring sources that appear consistently across multiple platforms and directly answer the question being asked.
The practical implication is significant: the content on your website isn’t just for Google anymore. It’s being read, synthesized, and cited by AI tools making direct attorney recommendations to people who have already decided they need a lawyer.
AI-referred visitors also convert differently. Research shows ChatGPT-referred visitors convert at 15.9%, Perplexity at 10.5%, both well above typical organic search conversion rates. These visitors arrive more informed, more intentional, and further along in the decision. The AI already built the trust before they clicked.
What Answer Engine Optimization Actually Means
AEO, Answer Engine Optimization, is the practice of structuring content to be cited as an answer by AI tools rather than simply ranked as a result.
Traditional SEO is about ranking. AEO is about being cited, having your content pulled directly into an AI-generated answer delivered to the user.
For law firms, AEO means five things in practice.
Write content that directly answers specific questions. Not “About Our Personal Injury Practice” but “What Compensation Can I Recover After a Car Accident in Georgia?” The question is the headline. The content answers it completely. AI tools are built to find content that completes the question someone asked, content structured this way is the content they pull from.
Use plain language. AI tools summarize for a general audience. Content written the way you’d explain something to a client, not the way you’d write a brief, is easier to synthesize and more likely to be cited accurately.
Build with clear headers. Structured content with clear H2s and H3s that map to specific questions gives AI tools a roadmap. They know what the content covers, what questions it answers. That makes it easier to pull from.
Cover topics completely. A 400-word practice area page tells an AI tool you know a little about something. A 2,000-word page that covers every angle, the law, the process, the timeline, common questions, typical outcomes, what to look for in an attorney, signals authority. AI tools cite authorities, not introductions.
Build topical clusters. One page about personal injury law is a data point. Twenty interconnected pages covering every aspect of personal injury law, practice-area specific, state-specific, question-specific, is a topic cluster. AI tools recognize clusters and treat them as authority signals.
The Review Problem Most Attorneys Don’t Know They Have
Here’s what happens every day.
A prospect opens ChatGPT and asks for personal injury attorney recommendations in their city. Three names come back. Two of those firms have over 150 Google reviews. The third has 200+.
The attorney whose firm didn’t appear has 22 reviews.
Review volume is one of the clearest public signals of a firm’s market presence. An AI tool synthesizing “who are the best attorneys in this market” weights firms with substantial, recent review histories more heavily than firms without them.
22 reviews doesn’t mean the attorney is less skilled. It means there’s no system for asking.
The fix is simple and requires only doing it consistently. Every satisfied client is a review opportunity. A follow-up text with a direct link to the Google Business Profile converts a fraction of them into reviewers. Over 12 months, a firm that asks every time can move from 22 reviews to 150. That’s a measurably different AI search signal.
Local AI Search: The Geographic Layer
Most attorney searches have a location component. “Personal injury lawyer near me.” “Divorce attorney in [city].” “Immigration lawyer [neighborhood].”
For geographic queries, AI tools lean heavily on local SEO infrastructure, the same signals driving Google Maps rankings. Google Business Profile completeness and activity. Local citation consistency. Review density in a specific market.
This means local AI search visibility isn’t a separate effort from local SEO. It’s built on the same foundation. A firm that has done serious local SEO work, optimized Google Business Profile, consistent citations, strong review volume, location-specific content, has a head start on local AI search.
The firms invisible in Google Maps tend to be invisible in local AI search. The firms dominating Google Maps tend to be the ones AI tools recommend for location-based queries. Not a coincidence, the same underlying signals.
Why Most Legal Marketing Agencies Are Behind
The honest answer is timing.
Most legal marketing agencies built their systems around Google Search optimization. That system worked for twenty years. The agencies good at it built real expertise and real processes. And then the landscape shifted faster than most of them updated their playbooks.
AI Overviews now appear across a large share of Google queries. ChatGPT handles enormous usage volume. Perplexity is growing fast. These are not edge-case tools anymore. They are already shaping how real people form opinions about which attorney to call, and most law firm marketing agencies are still running a strategy built for the old search page.
The attorneys showing up in AI search right now, the ones whose analytics already show chatgpt.com and perplexity.ai as referral sources, didn’t get there by luck. Someone built their digital presence with both traditional search and AI search in mind from the beginning. That’s a compounding head start that gets harder to close every month.
What to Do Starting Now
You don’t need to understand how large language models work. You need to do five things consistently.
One: Build content depth. Publish substantive content about every aspect of your practice areas. Real answers to real questions. The goal is to become the most thorough, most useful source on your specific topic in your specific market. That’s what AI tools cite.
Two: Structure for direct answers. Use your client’s question as the headline. Answer it completely in the first few paragraphs. Expand from there. AI tools pull from content that answers questions directly, not content that builds slowly toward an answer.
Three: Build review volume. Set up a systematic process for asking every satisfied client for a Google review. Not once, every time. Review volume feeds both Google Maps rankings and AI search recommendations.
Four: Claim and optimize every platform. LinkedIn, YouTube, legal directories, Google Business Profile. Every platform where your firm has a consistent, complete, active presence is a data point for AI tools evaluating your credibility.
Five: Earn citations from authoritative sources. Guest articles in legal publications, bar association mentions, local news coverage, established directory listings. Every authoritative source that references your firm in a relevant context adds to the credibility signal AI tools use to decide who to recommend.
None of this is complicated. All of it takes time and consistency.
The attorneys dominating AI search in two years are the ones starting this work now. The ones who wait will be explaining to a prospect why they don’t appear when an AI is asked who to call.
Forward Push builds law firm marketing systems designed for both traditional Google search and AI search visibility. To find out what that looks like for your firm, speak to us right now.
