AI search vs Google Ads - which matters more for law firms?

Q: How much do legal Google Ads cost?

Personal injury, mass tort, and DUI keywords regularly clear $200-500 per click in tier-1 US markets. The math only works because a single PI case can be worth six figures.

Q: Can I attribute revenue to AI search recommendations?

Not cleanly. Most AI engines don't pass a referrer. Use branded-search lift, direct traffic to attorney bio pages, and intake-call surveys as proxies. Don't kill the channel because Google Ads dashboards don't see it.

Q: What budget split should a $5M law firm use?

Roughly 50-60% Google Ads/LSAs for capacity filling, 20-30% GEO and content, 10-15% local SEO and reviews, 5-10% PR and earned placements. Smaller firms should lean harder toward paid early, larger firms can shift more to long-term GEO.

Question

AI search vs Google Ads - which matters more for law firms?

Maciej Grabek · Accepted Answer

Google Ads is the cash today, AI search is the compounding asset. PI keywords like "car accident lawyer near me" still cost $200-500 per click on Google, and that money buys phone calls this week. ChatGPT and Perplexity recommendations cost almost nothing per impression but take months to earn and are harder to attribute. The firms that win do both, with paid filling the pipeline now and AI visibility lowering blended CAC over 12-24 months. What each channel actually does Google Ads is rented attention. You bid on intent ("slip and fall lawyer Atlanta"), pay per click, and track form fills back to the ad in Google Ads or a call-tracking platform like CallRail. The economics are brutal in personal injury, mass tort, and DUI: clicks regularly clear $300, and the lead-to-signed-case ratio for shared lead networks can be 1 in 30. The math only works because a single PI case is worth six figures. AI search is earned attention. When a prospect asks ChatGPT "what should I do after a rear-end collision in Texas?" or asks Perplexity "who handles workers' comp claims for warehouse injuries in Chicago?", the engine pulls from indexed content, citations, and authoritative third-party signals (state bar profiles, Justia, Avvo, Google reviews, news mentions). You don't bid. You either get named or you don't. Where Google Ads still wins Bottom-of-funnel transactional intent. "DUI lawyer in Phoenix open now" is a buyer with a hearing in 48 hours. Ads put you on top of the page in 30 seconds. Geo-specific high-volume keywords. If you practice in a tier-1 market, the search volume on "car accident lawyer Houston" justifies the CPC. Capacity filling. If your intake team has slack and your case mix needs more of a specific tort, ads scale predictably. Attribution. Google Ads tells you exactly which keyword produced the signed retainer. AI search recommendations rarely pass a referrer. Where AI search wins The buying journey for legal services has shifted upstream. People who would have Googled "do I need a lawyer for a fender bender" are now asking ChatGPT, often before they call anyone. A 2024 BrightLocal survey on AI in local search found that around 1 in 4 consumers had used an AI assistant for some part of a service-buyer decision. That number is rising, and legal is one of the categories where research is heaviest. Prompt: "I was hit by a delivery truck in Dallas, the driver was on the clock. Who do I sue?" ChatGPT response (paraphrased): names 3-5 firms or directories, often pulls from Justia, Super Lawyers, the firm's own attorney bio pages, and recent news coverage of similar cases. If your firm shows up in those answers consistently, you get warm leads who already trust the recommendation. If you don't, your competitor does. The cost-per-mention is roughly your content investment divided by mentions earned, and once content ranks it keeps earning. Budget split for a typical PI or family law firm For a firm doing $2M-$10M in annual revenue, our take on a defensible split: 50-60% Google Ads / LSAs / Bing. Capacity filler. The cases this month. 20-30% GEO and content. Author-marked attorney bios, practice-area pages with real case results, jurisdiction-specific Q&A content. This is what AI engines cite. 10-15% Local SEO and review velocity. Google Business Profile, review generation, local citations. Feeds both Google and AI engines. 5-10% PR and digital placements. Earned media in local news and legal publications. Highest-trust signal for AI engines. Firms with under $1M in revenue should weight harder toward Google Ads early - you need cases on the board before content compounds. Firms over $10M have brand equity that makes the GEO investment cheaper, and that's where the long-term moat sits. Attribution honesty You will not get clean attribution on AI-search-driven leads. Most engines don't pass a referrer, and "how did you hear about us?" intake forms are notoriously unreliable. The best proxies are: branded search lift (track Google searches for your firm name month over month), direct traffic to attorney bio pages, and asking new clients during the intake call which AI tool they used (the answer is increasingly ChatGPT or Gemini). Don't kill the channel because it doesn't show up in Google Ads conversion reports - that's measuring with the wrong tape measure. Compliance footnote ABA Model Rule 7.1 prohibits false or misleading communication about a lawyer's services, and that applies to AI-driven recommendations too. If a third party (including an AI engine) describes your practice inaccurately, you have a duty to correct it. Most state bars haven't issued specific GEO guidance yet, but treat AI-engine descriptions of your firm the same way you'd treat a Yelp listing - monitor it, correct factual errors, document the request.