Jay Feldman | Lead Gen Jay

My prediction: The winners won't necessarily be the best builders. They'll be the best sellers with a narrow offer. The move: 1. Pick one agency model and one niche. 2. Build a sample, not a platform. 3. Spend your first 30 days on outreach. Agree, or am I missing something? Full breakdown: youtu.be/v87vVaYF16U Follow for more AI systems.

What stands out: 1. Outcomes beat tech: Buyers want booked meetings or published content—not workflows. 2. Samples sell: Prospects can judge finished content. Automation takes more explaining. 3. Costs are shifting: Jay says his thumbnail example went from about $50 to $1.50. Lead with a demo, not a pitch.

His scorecard (his opinion, not market research): AI content agency: 18/20 AI lead gen agency: 12/20 AI automation agency: 10/20 He scored them on ease of selling, how much AI can deliver, speed to first payment, and the opportunity window. Most people assume the best agency is the most technical one. They're wrong.

Everyone's racing to start an AI automation agency. Jay, who says he built Otter PR to $600K/mo, ranked it dead last of 3 AI agency models for 2027. His #1 pick isn't what most people expect. Here's what it means:

This isn't just about cold email. It's about offer-audience fit: 1. If outreach gets silence, test the offer and audience before adding volume. 2. Stay open to changing direction. In his case, the bottleneck moved from finding interest to having time to serve it. These are his results, not a guarantee. Anyone else learned this the hard way? Full interview: youtu.be/cqJpUCAvBxY

The moment it clicked: He said one of the main things he needed help with was "honing down" his offer. Our team recommended AI content for coaches, authors and speakers, a market we saw as receptive. It meant a total switch in direction. Reported results: Day 1: 8 interested leads Day 2: 13 Reply rate: 6.42%

What happened: Christiaan sells AI-powered content services. He'd tried cold email, LinkedIn prospecting and cold calling. Lead lists and his offer were never quite right. The result was crickets, and a lot of wasted time. He figured the answer was to keep grinding on outreach. The bigger problem was the offer.

"I'm this close to telling you guys to stop." A client said that. Not because it failed, but because 125 interested leads came in during his first month. Before that: two cold email campaigns and one half-interested reply. The story below:

My results (my experience, yours will vary): Close rate almost tripled Closers 2x+ more efficient No extra closer hires needed Humans still run the calls and approve payouts. Scoring rules need tuning to your business. Which step would help yours most? Full walkthrough: youtu.be/geLjXJQhIf0 Follow @LeadGenJay for more AI automation systems

My solution: 1. Custom survey scores each lead /100, then routes the best ones to top closers 2. Perplexity builds a pre-call brief for the closer 3. Fathom transcripts get graded on 8 skills. Managers review outliers and correct the AI 4. Close-likelihood scores show who to follow up with today 5. Proposals are drafted from the call, and the closer reviews them Shared backend: Supabase. Start with scorecards.

The problem: leads, calls, sales and payments were scattered across forms, calendars, recorders, a CRM and spreadsheets. Result: wasted calls on poor-fit leads, inconsistent coaching, missed follow-ups, commission errors. Most people add an AI call summarizer. It fails because it can't connect the lead, the call and the sale.

My team's close rate almost tripled after I connected AI to our entire sales process. (My numbers, not a guarantee.) I didn't build it to replace closers. I built it to make them better. My exact process below:

The results (Nov 2025 to Mar 2026): 74 tracked opportunities $370K attributed opportunity value 78 positive responses from real decision-makers, 52 with direct authority It's now a repeatable playbook that runs 24/7. Volume didn't fix it. Focus did. [YouTube link]

Our process: 1. Tested 5 verticals with neutral senders like "School Safety Advisory" 2. Hospitals bounced, 3 others underperformed. Schools won 3. Heads of School and Facilities Directors converted best 4. Led with a live security demo near them 5. Went all schools: shorter copy, 4 spintax variants, nationwide list

The challenge: Safe Haven Defense sells retrofit security window film that strengthens existing glass, so no window replacement. We had to reach people who can actually approve a project, and talk about a sensitive topic without sounding alarmist.

How we got 78 positive responses from real decision-makers (and $370K in tracked opportunity value) for Safe Haven Defense with cold email. We got there by cutting 4 out of 5 verticals, not by sending more. Details below:

Results (Nov 2025 to Mar 2026): 91,194 emails sent 454 unique replies 74 tracked opportunities $370K in opportunity value After human review of every reply: 78 positive responses, 52 from people with direct decision-making authority. Two school campaigns drove almost all of it, and the playbook is still working today. More volume was not the answer. The right audience and one clear offer was. [YouTube link]

Our process: 1. Tested schools, hospitals, convenience stores, pharmacies and luxury retail using neutral senders like "School Safety Advisory" 2. Read the data: hospitals bounced, other verticals had low volume, schools stood out 3. Found Heads of School and Directors of Facilities converted best 4. Led with a "live security demo near your city" 5. Went 100% schools with 4 spintax variations and a second campaign

The challenge: Safe Haven Defense sells retrofit security window film and glass laminate systems. They strengthen existing glass so organizations skip a full window replacement. Buyers existed. The hard part was reaching the people who can move a security project forward, on a sensitive topic, without sounding alarmist.

How we got 78 positive responses from real decision-makers for Safe Haven Defense with cold email. $370K in tracked opportunity value along the way. The key: we stopped spreading volume across every market. Details below: