Results from real customers

The problem

Personal injury is one of the most competitive paid search categories in Texas. Marcus was spending $4,000/month across Meta and Google with a third-party agency. The agency produced decent results but copy turnaround was slow, creative testing was minimal, and every revision required a back-and-forth approval cycle that could stretch a week.

More critically, the agency wasn't specialized in legal advertising. Marcus spent hours reviewing each ad for ABA Model Rule 7.1 compliance — no "guaranteed results," no unverifiable superlatives, no misleading statements. This compliance overhead consumed time he didn't have.

What changed with krisAi AdCraft

Marcus onboarded in 11 minutes. He entered his firm name, practice area (personal injury — JUSTICE vibeType), and landing page URL. The platform extracted his brand voice and generated a full creative set: three FLUX.1 ad images, two video scripts with voiceover, and two carousel variants — all with built-in ABA guardrails baked into the copy generation model.

The first campaign went live on Meta and Google simultaneously in the same session. No agency, no approval chain, no waiting. Within 30 days, his cost per lead had dropped from $220 to $74 — a 66% reduction on the same $4,000 monthly budget.

The compliance guardrails were the unexpected win. Every headline generated for personal injury uses the JUSTICE vibeType — data-driven, relentless, outcome-focused language — while automatically avoiding phrases like "guaranteed settlement" or "best attorney in Dallas." Marcus now does a 5-minute scan instead of a 2-hour review.

Results after 60 days

• Cost per lead: $220 → $74 (66% reduction)
• Monthly qualified leads: 18 → 51 (same $4,000 budget)
• Campaign setup time: 2 weeks → under 3 minutes
• ABA compliance review time: 2 hours → 5-minute scan
• Creatives tested in 60 days: 4 (agency) → 22 (krisAi AdCraft)

“Cut my cost per lead from $220 to $74 in the first month. The AI copy is better than what my agency wrote — and it stays within ABA guidelines without me having to check every line.”

The problem

Real estate advertising under the Fair Housing Act requires careful language. No references to neighborhood demographics, school ratings framed in a way that implies protected class characteristics, or anything that could signal who should or shouldn't buy a property. For a broker doing volume in South Florida — a diverse, high-stakes market — the compliance risk was constant.

Priya's VA was good, but every listing campaign required a brief, a creative pass, a compliance check, and back-and-forth before anything went live. During peak season, two days per listing meant three or four listings were always sitting in the queue waiting.

What changed

krisAi AdCraft's real estate vertical has Fair Housing compliance built into the generation model — not as a post-generation checklist, but as a constraint on what the AI will write in the first place. Phrases that reference school districts, neighborhood composition, or anything that could be interpreted as steering are blocked at the prompt layer.

Priya launched her first listing campaign — a 4BR waterfront property in Coral Gables — in 4 minutes. The platform generated FLUX.1 photorealistic imagery, three headline variants (luxury positioning, investment framing, lifestyle focus), and pushed simultaneously to Meta and Instagram. The images, as she put it, "looked like a professional shoot."

She launched two more listings that same afternoon. What had been a 2-day process per listing became a 4-minute task.

“Launched 3 listing campaigns in one afternoon. Used to take my VA two days. The FLUX images look like a professional shoot — every single one was fair-housing compliant out of the box.”