How to sell AI to Main Street (Full Playbook)

Selling AI-enabled marketing services to Main Street businesses may be a larger opportunity than targeting AI-focused customers in San Francisco, Dickerson argues, drawing on his agency experience and ownership of Diesel Dudes, a mobile diesel repair business in Charlotte. He recommends focusing on established skilled-trades companies rather than solopreneurs or startups, which may lack the budget to hire help. Plumbing and HVAC together include roughly 112,000 companies averaging about $2.5 million in annual revenue, while only 14% of owners say AI is fully integrated into their operations. Companies earning $2 million to $20 million may have both the budget to act and a reason to worry they are falling behind; a $5 million plumbing company, for example, might spend $150,000 to $250,000 annually on marketing.

The clearest pitch is not AI agents or abstract efficiency, but more calls and booked jobs from traffic a business already pays for. Dickerson’s review of five well-rated Dallas plumbers running Google ads found that four did not repeat the ad’s promise on the landing page, three did not display their Google rating, and four made visitors scroll past three screens to book. Matching the page to the ad, showing strong reviews, and simplifying booking are practical ways to address what he sees as a conversion problem rather than an advertising problem. The economics can make the loss tangible: at $129 per lead, 100 leads cost about $13,000 a month, so losing 20% through a weak page wastes roughly $2,600; one $1,714 plumbing job covers the cost of about 13 leads.

A local-service funnel can pair an ad with a free or introductory offer, a focused sales page, and SMS or email follow-up for people who do not buy immediately. HVAC entry points could include a free check, a $79 tune-up, instant pricing, a repair-or-replace quiz, an owner-led video, or an advertorial. Dickerson says 80% to 90% of HVAC companies he reviewed lacked the low-price “tripwire” offer common among leading firms and direct-to-consumer businesses. In his example, $20 buys 20 clicks at $1 each, and one purchase of a $20 entry-level membership recovers the advertising spend. Owner-led video can also build trust around repair-or-replace decisions involving installations of $20,000 to $30,000. Different search terms and offers should lead to tailored funnels, not one generic page.

AI tools can speed up prospecting and preparation: identifying and scoring businesses, reviewing marketing funnels, collecting contact details, and assembling a branded pitch and proposal. In one test, Dickerson’s tools found 100 Dallas plumbers in about a minute and produced a pitch and proposal roughly 15 minutes later. His assessments use signals including review volume and velocity, technician count, and available revenue information. He recommends building a Dream 100 list in one trade and one city, then using AI agents to research each company, its reviews and website, its owner, and its industry. The approach combines Chet Holmes’s Dream 100 strategy with advertising and funnel tactics; the cited example says 167 of about 2,200 advertisers bought 95% of the ads, and that building relationships with advertisers not yet buying reportedly brought Holmes 28 clients in one month by month six.

The outreach should position the seller as a trusted advisor, not just a vendor, by offering specific value and staying in touch over time. Ideas include trade-specific Meta ad creatives, customer-language research in local Reddit discussions, and personalized “Lumpy Mail,” such as sending a plumbing fitting with a letter offering to fix marketing leaks. Local branding should suit the trade rather than imitate Stripe or Apple, and breakfasts or meetups can support relationship-building. Dickerson says some local customers have hung up after asking whether they were speaking to a “dumb AI thing,” and considers personal AI agents finding contractors an early development. He is more bullish on Google, including Google AI mode, while emphasizing the continuing importance of Google reviews and Maps.

Ben says AI makes high-quality marketing easier to deliver and can support a high-margin service-agency model, but recommends charging for ongoing work rather than treating a funnel as a one-time build. A seller could charge an introductory fee to build and launch the funnel, then a monthly fee for analysis, testing, updates, and measuring incoming calls; performance-based pricing, charging only when a client gets a job, may suit a later stage or someone just starting out. Without clients, Ben suggests doing the work for a local business free in exchange for a case study or testimonial, then beginning to charge. Greg recommends choosing one market, geography, and service, believing that you can help that specific group, and committing to provide useful advice for six months before assessing the results. AI can also simplify reporting, allowing marketers to use data to understand the business, keep clients updated, and stay focused on booking jobs.