Video summary

Don't Sell AI Websites, Sell AI Consulting Instead (crazy opportunity)

Main summary

Key takeaways

Business

Business-model positioning (the “chart”)

The speaker frames AI business opportunities on a 2D chart:

  • Y-axis = “replaceable-ness”: how easy it is to swap you out
  • X-axis = distance from the moment the business makes money: how far your work is from revenue

Bottom-left (worst): easy to replace + far from immediate revenue Top-right (best): hard to replace + directly tied to revenue

Core recommendation: what to sell

  • Stop selling “AI websites” / deliverables as the primary offer.
  • Sell “AI corporate consulting” that:
    • Installs revenue systems inside the client’s business operations
    • Charges a setup fee + monthly retainer
    • Optionally includes equity / revenue-share

Bullet playbooks / frameworks mentioned

Revenue-alignment model

  • Choose offers closest to revenue generation
  • Become irreplaceable by owning operational pieces that keep money flowing

Packaging ladder

  • Layer 1: Operating
    • Systems installed + ongoing management
    • Install AI systems that fix “revenue leaks”
    • Keep the client paying monthly because systems must be managed
  • Layer 2: Consulting
    • Advising / strategy (higher ticket)
  • Equity / rev-share option
    • Take a % of revenue generated by the systems
    • Or use equity-like participation for long-term alignment (“partner-for-life”)

Positioning rule (marketing/sales)

  • Don’t pitch “website costs” (it anchors you as “cost”)
  • Pitch outcomes, such as:
    • Save time/money
    • Increase cash flow
    • Reduce revenue loss
  • “Website” wording allegedly reduces deal power because clients negotiate price downward

Why websites / SMMA / automation agencies are “lower”

The argument: many AI services are vulnerable because anyone can do them quickly, using common builders/tools (e.g., Canva, Deepseek, Lovable, Bolt, Base44, etc.).

Examples called out

  • Logo design (bottom-left)

    • “Anyone can do it” with common tools in seconds
    • Doesn’t make money by itself (insufficient ROI as a stand-alone service)

  • AI automation agency / SMMA

    • “Close to revenue,” but still vulnerable:
      • Can be learned via workflows or ad platforms
      • People can run large volumes of AI ads and outreach quickly
    • Still requires ongoing marketing/lead-gen and is easier to replicate

  • AI corporate consulting (top-right target)

    • You work inside operations, on parts directly generating revenue
    • Claim: clients can’t remove you without breaking the business or slowing scaling

Concrete pricing and scaling claims (KPI-style numbers)

Setup + monthly retainer model (repeated)

  • AI corporate consulting setup fee: $5k–$10k (minimum quoted)
  • Monthly retainer: $2k–$5k
    • Can rise to $4k–$5k/month as systems expand
    • Potentially up to $10k–$15k/month depending on scope

Revenue outcomes from clients (examples)

  • Example deal math:
    • “2 clients” paying $10k–$20k setup plus monthly repeat payments

  • Quoted annual recurring revenue possibilities:

    • 1 client: $58k–$140k/year
    • 2–3 clients: $200k–$300k/year (as stated)

  • “Retainer creep” described:

    • Start around $2k/month, move higher as you expand systems

“Lead-gen replacement” argument

The speaker claims acquiring a higher-ticket consulting client is cheaper than website-client acquisition because:

  • Website clients might require lots of ad spend / VA outreach for $1k–$2k offers
  • The consulting deal allegedly reduces wasted spend and increases monetization per client

Operational “revenue leak” use-cases (medical practices example)

A detailed healthcare/medical lead-flow example is used to illustrate “revenue leak” automation.

Lead intake + response (missed calls and follow-up)

Problem described

  • Leads call but no one picks up → they move on
  • Leads submit forms but only receive response after ~2 days
  • Claimed impact: “$5k–$25k walking out the door every month” (before anyone realizes)

Proposed AI systems

  • AI caller intake: answers calls 24/7, qualifies leads
  • Instant response to contact forms within seconds (not days)
  • Nurture sequences (multi-step follow-up):
    • SMS/email/voicemail drops
    • Runs for weeks after first contact
  • Booking / ops support automation (implied by the intake/scheduling stack)

Slower internal operations

Problem described

  • Staff handle scheduling, reminders, reporting, PTO, follow-ups

Proposed fix

  • A “pre-built full intake scheduling reminders reporting system”
  • Dashboard showing calls taken/missed, booked appointments, revenue in one view
  • Implemented in “a few days / a few hours” (speaker’s claim)

ROI example

Claims include:

  • Losses fixed → saving $100k–$200k/month
  • Example economics:
    • Client charges $15k–$25k per procedure
    • AI systems add 3–4 extra procedures per month
    • Owner sees quick ROI

Actionable recommendation: how to sell corporate consulting vs websites

Sales messaging “script” (positioning)

  • If pitching a website:
    • Anchor on cost → negotiation downward
  • If pitching corporate consulting:
    • Anchor on revenue outcomes:
      • “I will save you XYZ per month”
      • “I will save time”
      • “I will bring XYZ cash through the door”
    • Outcome positioning makes the buyer treat you as a revenue partner

Client selection advice

  • Prefer clients who can afford and sustain higher retainers:
    • Contrast: $1k–$3k clients are framed as naggy/delaying
    • Emphasis on clients willing to pay $5k–$15k because they value results

Delivery model (delegation + no-code)

  • “You don’t even need to learn how to code”
  • Hire overseas developers:
    • quoted $10–$20/hour or per-project
  • Example cited:
    • Built an AI paralegal product for a law firm (Georgia)
    • Charged client: $18k+
    • Developer cost: ~$4k
    • Margin claimed: ~$14k (speaker states he didn’t touch the code)

Equity / “operating in equity” model (high level)

Two main long-term variations:

  • Operating in equity
    • If you run systems full-time or operate parts of the business:
      • Take a percentage of monthly revenue
      • Or negotiate equity points for quarterly/partner alignment
  • Affiliate backend
    • If the client hasn’t fully closed/committed:
      • Offer affiliated software or backend programs
      • Claim of 10%–20% follow-on / affiliate revenue (wording unclear, but presented as ongoing affiliate earnings)

Lead transformation: “stop selling deliverables”

The speaker divides the audience into two personas:

  • Person A: website/deliverables sellers

    • “Keeps selling AI websites”
    • Stuck around $2k–$10k/month ceilings
    • Predicts fatigue after months at ~$20k

  • Person B: AI corporate consulting operators

    • Claims movement to $20k–$50k+/month
    • Mentions:
      • 3 months: “20–30k months”
      • 6 months: “50–70k per month” (as stated)

Presenters / sources (as mentioned)

  • Presenter: video narrator/speaker (no name provided in subtitles)
  • Tools/companies mentioned: Canva, Deepseek, Lovable, Bolt, Base44, Zapier, Codex (plus “Ghost Build” and “Chad/Claw” as unclear branding)
  • Industry examples mentioned: AI paralegal for a law firm in Georgia; clients including plastic surgeons and dental chains.

Original video