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Buffer
@buffer.com

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. 🧵

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Buffer
@buffer.com

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.

Buffer
@buffer.com

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. 🤯

Buffer
@buffer.com

There's even data on what gets a LinkedIn post cited. Scrunch found technical details raise the odds by 77% and named entities by 33%, while Unicode bold formatting lowers them by 58% on ChatGPT. A small firm with deep technical expertise is well positioned for that kind of post.

Buffer
@buffer.com

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.