AI agents target marketing inefficiencies in skilled trades

James Dickerson, owner of the mobile diesel repair business Diesel Dudes in Charlotte, North Carolina, contends that the primary market for AI agents is Main Street businesses rather than startups. He focuses on skilled trades such as plumbing and HVAC, noting there are roughly 112,000 such companies in the US with an average annual revenue of $2.5 million. Despite this scale, only 14% of owners report that AI is fully integrated into their operations. Dickerson observes that these businesses often spend $150,000 to $250,000 annually on marketing but suffer from broken customer acquisition funnels. In a sample analysis of five high-rated Dallas plumbing companies, he found that four out of five did not align their ad copy with landing pages, three out of five failed to display Google ratings on landing pages, and four out of five required users to scroll past three screens to book a service.

Dickerson proposes using AI coding agents to build optimized funnels, including tripwire offers like a $79 tune-up, to convert existing ad traffic into booked jobs. He emphasizes that the value proposition must be framed around revenue and booked jobs, not AI technology, as many owners are skeptical of or unfamiliar with the technology. To support this, his firm, Boring Funnels, uses custom Model Context Protocol tools and Cloud Code to automate the sales process. By inputting a query such as 'find me plumbers in Dallas worth pitching,' the system scrapes data from Google Maps, Google, and Yelp to identify 100 potential prospects within approximately one minute. The agents then analyze each prospect's review velocity, employee count, and revenue estimates to filter for businesses with over $2 million in annual revenue. Within 15 minutes, the system generates a personalized pitch, identifies specific marketing leaks, retrieves contact information, and drafts a proposal. This contrasts with traditional manual prospecting, which Dickerson notes was time-consuming and expensive, requiring paid credits for list building and manual website analysis.