The campaign targeted two audiences: retail banking customers searching for checking and savings products, and commercial decision-makers evaluating treasury management, real estate financing, and business credit — both under heavy competition from the largest banks in the country.
CB/I created custom AI agents to handle the heaviest SEO workloads: article optimization, schema markup, FAQ generation, and deep competitor analysis. But financial services isn't a forgiving environment for AI experimentation.
YMYL guidelines demand absolute accuracy, and early outputs contained hallucinations and inconsistencies. CB/I solved this by training agents on FCB's brand guidelines, compliance documentation, and proprietary Semantic SEO frameworks. By engineering structured prompts that required source-backed reasoning, and automated QA, we were able to catch anomalies before anything reached production.
Speed was the other constraint. AI Overview composition was evolving week to week, and traditional workflows couldn't keep pace. Automation pipelines via N8N and Make.com replaced manual processes end-to-end. Competitor research that once took 3.5 hours dropped to 45 minutes, and overall execution speed increased by 72%, enabling the team to implement more optimizations in less time.
Throughout, the model stayed deliberately human-AI hybrid. AI handled speed and scale. CB/I strategists and FCB's internal team handled judgment, compliance, and strategic alignment. Every output was brand-safe and regulation-compliant before it went live.
This wasn't AI bolted onto an existing process. The process was rebuilt around AI.