ChatGPT ads for defense firms, run with the ethics rules in hand.

It can be, and it is handled the same way as any other paid channel: your state bar's rules on outcomes, testimonials, comparative claims, disclaimers and attorney identification apply to the copy, and the platform's own ad policy sits on top. We draft to whichever is stricter, keep an approval log so you can show what ran and when, and route anything borderline past your managing partner before launch rather than after a complaint.

As a measured test beside Google Ads, usually yes; as a replacement for it, no. The consumer behaviour is already there — 42% say they would use ChatGPT to research which lawyer to hire — and advertiser numbers are climbing fast, with around 820 advertisers in July against roughly 300 in April. Early auctions are quieter. We size the test so a disappointing quarter costs a modest number.

Through OpenAI's ads manager on a price-per-visit basis, with conversion bidding once the web pixel is installed and matching properly. There is no lookalike targeting, no interest targeting and no video placement, so there are fewer dials than in Google or Meta. For a defense firm that is workable: the work moves to which conversations you buy, how honestly the copy explains, and whether the intake path answers.

With the pixel on your site, tracked numbers on the pages the ads point at, and an intake process that records source at the first call. We verify events with a real test enquiry rather than trusting the dashboard, and reconcile monthly against your case management system so signed matters, not leads, are the score. Where attribution genuinely cannot be proven, the report says so instead of guessing in our favour.

Management is a fixed monthly fee scoped to the account rather than a percentage of spend, and media is yours, billed directly. Judge it on price per signed matter against your average fee. Criminal leads look inexpensive — $101.49 average cost per lead on criminal law search — but conversion from call to retainer decides everything, which is why we report answer rate alongside spend.

Partly. Assistants dominate the explaining stage: what the charge means, what the penalties are, whether a public defender is enough. The urgent two-in-the-morning query still lands mostly in Google and maps. That split is why we never run this channel alone; the test is designed to capture the research conversation and hand a warmed, informed caller to the same intake path your search campaigns feed.

Yes, and it is arguably the bigger prize. 96% of respondents said they trust AI platforms to recommend a good firm and 84% would not trust one absent from those results, so a law office buying placement while invisible in the answer is fighting itself. Review velocity, accurate profiles and educational content attributed to a named attorney all feed that, and we run them from the same plan as the ads.

By writing to inform. Copy explains the process, the realistic range of outcomes and which step comes next and what a first consultation covers, without promising results or leaning on someone's worst week. That is both the ethical position and the effective one: people in serious trouble are unusually good at spotting a firm that is selling to them. Anything that reads as exploiting a predicament does not run, whatever it might do to click-through.

Your law office does, in every case. The ads manager account, the pixel, the tracking numbers and the analytics are created in your name and we work inside them as a user. If our engagement ends, nothing switches off and nothing has to be rebuilt: the campaigns, the history, the compliance log and the documentation stay with you. We would rather keep the work by earning it.

Enough to be readable within a quarter, which usually means a small four-figure monthly cap for a single-market office rather than a token few hundred. Delivery is still uneven while the platform ramps, so a thin budget produces noise nobody can act on. The cap is agreed in writing, reviewed monthly, and we will recommend stopping rather than quietly rolling it forward if the data does not support continuing.

It changes often, so we keep the setup deliberately simple and portable. Platform rule changes go on your monthly report with the practical effect spelled out, and we adjust the plan rather than waiting for a quarterly review. Nothing we build for you depends on a feature that only exists this month, and nothing lives in an account we control.

On Google you buy a keyword and win a slot. Here there is no keyword auction to view and no organic listing sitting under the ad: OpenAI matches your campaign to the context of a discussion, so the useful unit of work is the situation someone describes rather than a keyword string. In practice that changes three things. Educational copy outperforms slogans, because the reader is mid-explanation. Building coverage across the topics you defend matters more than bidding harder on one. And the data you get back is thinner, so we lean on your own intake records rather than platform dashboards. It is closer in spirit to SEO education than to a keyword auction, which is why we run both from one plan.

No, and that is worth saying plainly: appearing in an answer is free, earned visibility, while advertisers buy placement beside it. The two reinforce each other. A practice with strong ratings and clear jurisdiction information in its area tends to be named organically, and paid placement then lands on a reader who has already seen the name once. If your budget only stretches to one of the two this quarter, we will usually tell you to sign off the earned side first and add media once the intake path is proven.

Yes, and attribution gets more honest when one team holds it. Our paid search, local SEO and analytics specialists work from the same plan as this channel, so a retained matter is credited once rather than claimed by three vendors. Hiring us for this test alone is equally fine — everything is documented and left in accounts you own.