Post

Violeta Maftei is a content marketer. While running test prompts for a course, Perplexity named her client's brand in an answer, even though nobody had done any work to put it there. So she built her first automation to see what would happen with effort behind it. 🧵

The client is a small Romanian firm that sells lightning and surge protection equipment. It has been selling for three years, grows on referrals, and does content marketing in bursts. AI search wasn't on the owner's radar at all.

She picked LinkedIn on purpose. Semrush found it's the second-most-cited source across ChatGPT Search, Google AI Mode, and Perplexity, appearing in 11% of AI responses. For professional queries, Profound found LinkedIn is the most cited domain across all six major AI platforms. 🤯

The stack runs on three tools, each with one job. AirOps orchestrates the workflow and holds the company's Brand Kit and Knowledge Bases. Peec AI tracks which AI prompts mention the brand and which don't. Buffer supplies the LinkedIn engagement data and is where the finished briefs land.

Every weekly run opens by checking what's already in motion. Through Buffer's API, the agent sees what's drafted or queued so it doesn't create duplicate ideas, then pulls reactions, comments, impressions, and reach for published posts. Posts that performed well become signals for follow-ups.

Next it asks where the brand is invisible. Peec runs 50 tracked prompts daily across ChatGPT, Perplexity, and Google AI Overviews. A prompt gets flagged when it sits at 0% after seven days of tracking, drops under 20%, or falls 15 points or more in a month.