When reaching out to potential clients for my Instagram/SMS messaging AI bot, what should I send for free to provide upfront value, and what should my first message include?
I would start by contacting every online high‑ticket coaching business. However, be aware that using case studies or sensitive information from existing clients without permission can damage trust and relationships. Instead, I would focus on extracting more value from my current client base—trying to increase revenue from them before pursuing completely cold prospects. If there’s no commission‑based setup, I’d push for one even at the cost of stable pay. After proving value with existing clients, I’d offer to run the bot for a small portion of their inbound lead flow and guarantee a higher setting rate—e.g., 1.5× or 2× improvement in booking and show rates—because improving those metrics directly increases their revenue. I’d quantify the improvement and start with a pilot on their weakest lead source, then expand after success.
Not for beginners — if you already have a big brand, YouTube channel, and a working Instagram funnel, you could sell an AIOS, but as a total newbie, don't. Instead, pick a specific lane, ideally something tied to reach/acquisition: creative-generation systems (ad creative testing across Google, Facebook, TikTok, etc.), automated prospect research for cold email/LinkedIn icebreakers, and speed-to-lead systems (immediately following up with anyone who opts in from an ad, maximizing show/booking rate — even something as simple as calling a lead twice instead of once, or texting back a missed call automatically, can double conversion). Also strong: automated follow-up across SMS/email/DM for anyone who's expressed interest, and inbound lead-magnet systems (e.g. ManyChat-based funnels tied to a creator's content). The common thread: focus on a narrow, specific lane that produces a clearly measurable revenue outcome — that lets you proportionally scale a client's revenue in a way that's easy to prove and sell.
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First, identify prospects who are already running ads by scraping Facebook or Google ad libraries and enriching them with contact info. Use browser automation to opt into each of their offers, recording the time and outcomes to demonstrate you've experienced their lead flow. Then, use AI to create a detailed, personalized icebreaker email that shows you've gone through their process and highlights how much money they're losing due to slow lead response—often $20,000–$30,000 per month. Offer a solution that patches these leaks, promising an additional $15,000–$20,000 in revenue. Reach out warmly, referencing specific details from their LinkedIn or ads to build rapport. Because these are high-intent, high-value leads spending money on growth, your reply rate can be 5–10%, allowing you to contact about 300 prospects per day. This approach is essentially a highly customized audience selection similar to Facebook Ads but executed via automated outreach.
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To hit $10k/month with an AI content service for coaches, you need to solve a problem that currently costs the client $50k or more per year and then charge about 20% of that value. Examples include fixing inefficient ad‑set targeting that wastes >$50k/month in opportunity cost, improving ineffective ad creative, or building speed‑to‑lead systems that instantly capture and automate follow‑up via SMS or a call center. If a coach’s business is already making a few hundred thousand per month, boosting their top‑of‑funnel by just 10% (e.g., growing a $500k/month business by $50k/month) lets you charge $10k/month. In short, focus on delivering a measurable 10% increase in revenue through front‑end efficiencies, and the economics work out.
The value you deliver always comes down to three pillars: top‑line revenue, bottom‑line profit, and reduction of chaos. Think of it this way: you build a system that could generate $15k a month for a client while they spend 100 % of their time on it. If you can achieve the same $15k with half the time, or even scale it to $150k with full effort, you’re dramatically improving the top line. You also boost the bottom line by cutting unnecessary software subscriptions, reducing payroll, or trimming headcount. Finally, you lower chaos by giving founders organized systems that let their teams run themselves. If you can’t demonstrate any of those three, you shouldn’t be selling. That’s why many AI‑agent businesses fail—they sell tools without provable value.