I’m selling AI websites to local businesses with good response but low perceived value; should I switch to an AI automation agency for higher value, despite lacking case studies and needing to target bigger clients?
Start by giving value up front: build a landing page for each prospect, show it to them, then offer to build the full website (or revisions) as a paid service. This lets you demonstrate value, increase reply rates, and later upsell AI automation. You can create many landing pages daily using AI tools (e.g., Claude Max) for little cost, then move clients into higher‑ticket automation services.
I don’t have expertise in agency valuations, but from my experience I sold my marketing agency for about 2.3x, negotiated up to just under 3x—20% was cash, 80% equity in the acquirer plus performance‑based earnout. I’m not sure if 4–6x is realistic now. However, the real value is in servicing an investor’s portfolio companies: if you improve one business, you can copy the system to the others, creating huge economies of scale—one deal can generate hundreds of thousands per month. So if you can get a 4–6x multiple, go for it; otherwise focus on that growth opportunity.
I think marketing agencies are great; I niche down with them and make more money than most with an equivalent service. Whether you need to differentiate depends on your goals—if you aim to be the Uber of automation agencies selling to marketing agencies at $100M/year, you'll need more differentiation than just 'marketing agency'; if you want a tiny niche, you can target whatever you want, especially if you have experience to stand out. As for assets to send to marketing or creative agencies that aren't just AI‑generated: you can build them whole HTML websites (customized with context) and host them; generate newsletters from templates; create PPC ad creatives based on trending ad‑library content; produce high‑quality proposal templates; make slide decks; essentially any day‑to‑day marketing agency deliverable can be generated with AI, but the biggest impact is the customized HTML template because clients are impressed by receiving a full website.
The best way to implement AI in a digital business is not to start with the back‑office tasks like fulfillment, accounting, HR, or other tedious, time‑intensive processes. Those are low‑value automation opportunities that only save you money you already make. Instead, focus AI on the front‑end of the business – growth, reach, acquisition, conversion, and lifetime‑value expansion. Think of AI as a tool that helps you get more impressions, improve ad and organic reach, boost conversion from eyeballs to leads, speed up payment systems, proposals, and follow‑ups, and ultimately increase upsells and product differentiation. One hour spent automating admin might net you $50, whereas one hour spent building a system that improves a company’s ability to grow could generate $5,000. Even with modest margins, that’s a 25× multiple. So prioritize AI projects that directly impact revenue generation rather than pure cost‑cutting.
You want three things. First, target niches with high lifetime value (LTV). The higher the LTV, the more you can spend to acquire a client and still make a profit. For example, a shoe‑shine service might generate a few hundred dollars per year, whereas a personal injury firm could bring tens or hundreds of thousands. Second, choose industries where the prospect data is easily scrapable or digitally acquirable—LinkedIn Sales Navigator, keyword searches, etc.—so you can find decision‑makers who can sign checks. Third, consider compliance: heavily regulated sectors like healthcare or government‑related services are hard to automate with AI and carry legal risk. Also avoid platforms that could ban you if you automate them. In short, focus on high‑LTV, digitally reachable, low‑regulation niches.