Tilbury, Gadzhi Rank AI Agency Models Over Proprietary Startups

7 Proven Ways to Make Money With AI (No Experience) — Mark Tilbury

Mark Tilbury

The real profit in artificial intelligence lies in deploying third-party tools to modernize non-technical businesses rather than building proprietary software against venture-backed conglomerates.

AI-assisted summary of 7 Proven Ways to Make Money With AI (No Experience) — original source. Check the original for full context.

Source published:

Key ideas

  • Mark Tilbury and Iman Gadzhi argue that attempting to build proprietary AI models or startups pits founders against heavily funded tech giants, whereas the realistic path to profit lies in deploying off-the-shelf AI tools for businesses that lack implementation expertise. (0:00)
  • Across seven evaluated AI monetization models, generative video creation for UGC ads scored an A-Tier ranking due to immense retainer potential, while real estate media, lead reactivation, and customer support bots landed in B-Tier due to fulfillment caps, setup overhead, or operational risk. (18:48)
  • The hosts withheld the full operational mechanics of their top-rated S-Tier business model from the episode, redirecting viewers to a free five-day live 'AI Income Challenge' scheduled to begin on November 7th. (24:46)

Detailed notes

## Background This video was published on YouTube by Mark Tilbury on October 24, 2026. Teaming up with entrepreneur and investor Iman Gadzhi, the video breaks down and ranks seven practical ways beginners can make money using artificial intelligence tools without needing prior coding or technical experience.

## TL;DR Mark Tilbury and Iman Gadzhi debunk the misconception that profiting from AI requires building complex software startups, arguing instead that real money lies in integrating existing AI tools into everyday businesses. Across the video, they evaluate and rank seven practical service models on a tier list, covering real estate media enhancement, content repurposing, lead reactivation, website redesigns, UGC advertising, and customer support bots. Rather than treating AI as fully autonomous magic, both hosts stress the necessity of human quality control, direct-response fundamentals, and performance-based pitching. They conclude by reserving the ultimate S-tier model for an in-depth, live five-day challenge starting November 7th.

## Atmosphere & style The presentation carries a sharp, pragmatic, and polished entrepreneurial tone, balancing Mark Tilbury’s approachable mentoring style with Iman Gadzhi’s direct, agency-tested realism. Instead of indulging in futuristic hype, the dialogue feels grounded in brass-tacks business logic, tool demonstrations, and transparent profit-margin evaluations. Viewers experience an energetic collaborative dynamic as the hosts debate tier placements, resulting in an instructional yet promotional rhythm that builds steady anticipation toward their top-rated S-tier reveal.

## Bulletin - [00:00](https://www.youtube.com/watch?v=hriu0irRcpE&t=0s) Mark Tilbury and Iman Gadzhi argue that attempting to build proprietary AI models or startups pits founders against heavily funded tech giants, whereas the realistic path to profit lies in deploying off-the-shelf AI tools for businesses that lack implementation expertise. - [18:48](https://www.youtube.com/watch?v=hriu0irRcpE&t=1128s) Across seven evaluated AI monetization models, generative video creation for UGC ads scored an A-Tier ranking due to immense retainer potential, while real estate media, lead reactivation, and customer support bots landed in B-Tier due to fulfillment caps, setup overhead, or operational risk. - [24:46](https://www.youtube.com/watch?v=hriu0irRcpE&t=1486s) The hosts withheld the full operational mechanics of their top-rated S-Tier business model from the episode, redirecting viewers to a free five-day live 'AI Income Challenge' scheduled to begin on November 7th.

## Key takeaways - [00:00](https://www.youtube.com/watch?v=hriu0irRcpE&t=0s) Building proprietary AI software from scratch is an uphill battle against massive tech conglomerates; profitable opportunities instead center on bridging the integration gap for everyday businesses. - [00:51](https://www.youtube.com/watch?v=hriu0irRcpE&t=51s) Real estate listing media can be upgraded into cinematic video walkthroughs using tools like Higgsfield, but fulfillment time limitations keep the business model in B-Tier. - [05:00](https://www.youtube.com/watch?v=hriu0irRcpE&t=300s) Long-form content repurposing achieves A-Tier status by feeding audio transcripts into Claude Projects calibrated to a creator's specific voice, generating cross-platform newsletters and scripts. - [09:55](https://www.youtube.com/watch?v=hriu0irRcpE&t=595s) AI-driven lead reactivation taps into dormant CRM contacts through HighLevel and Claude, monetizing via frictionless pay-on-performance fees when revived leads attend appointments. - [13:46](https://www.youtube.com/watch?v=hriu0irRcpE&t=826s) Outdated local business websites can be redesigned rapidly using AI builders from Google Maps leads, though heavy freelance competition limits the model to the B/C-Tier borderline. - [17:48](https://www.youtube.com/watch?v=hriu0irRcpE&t=1068s) AI-generated UGC video ads eliminate the slow, expensive process of sending physical samples to human creators, commanding monthly retainers worth several thousand dollars. - [18:51](https://www.youtube.com/watch?v=hriu0irRcpE&t=1131s) Success in AI video advertising depends heavily on direct-response copywriting and hook psychology rather than purely operating generative AI tools. - [21:23](https://www.youtube.com/watch?v=hriu0irRcpE&t=1283s) Customer support chatbots configured via Chatbase or Tidio provide instant setup value, but rank in B-Tier due to liability risks if ungrounded bots hallucinate incorrect business policies. - [24:46](https://www.youtube.com/watch?v=hriu0irRcpE&t=1486s) Tilbury and Gadzhi designated an undisclosed venture as their sole S-Tier opportunity, choosing to unpack its execution exclusively during a live multi-day workshop.

## Detailed walkthrough ### [00:00](https://www.youtube.com/watch?v=hriu0irRcpE&t=0s) The Core Mistake in AI and Where the Real Money Goes

Mark Tilbury opens by addressing the widespread misconception trapping aspiring entrepreneurs: most people believe that profiting from artificial intelligence requires coding proprietary tools or launching an AI startup from scratch. In reality, roughly 99% of those ventures will be crushed by massive tech conglomerates armed with hundreds of millions in venture capital. To give an insider perspective on how money is actually made in the space, Mark introduces Iman Gadzhi, an investor and advisor to a multi-billion dollar AI company.

When asked where the real opportunities lie, Iman explains the gap currently facing the corporate world. Every modern business recognizes the necessity of adopting AI, yet almost none possess the internal know-how to integrate it into their daily operations. As Iman puts it: “Well, every business knows that they need to be using AI, but almost none of them know how to, which means that the real money goes to whoever can take these AI tools and put them to work for a business.” To capitalize on this divide, Mark and Iman set out to break down and rank seven proven, accessible AI business models on a tier list.

---

[00:51](https://www.youtube.com/watch?v=hriu0irRcpE&t=51s) Method One: AI Real Estate Media & Cinematic Walkthroughs

Iman presents the first opportunity, which focuses on enhancing online property listings. Real estate agents, Airbnb hosts, and landlords rely heavily on listing photos to attract buyers and guests. However, many current listings feature low-quality smartphone snapshots plagued by bad angles and poor lighting. While property owners know these visual flaws hurt their bookings and inquiries, they often lack the budget or time to hire professional staging and photography crews. A beginner can leverage generative AI platforms like Higgsfield to overhaul these lackluster pictures into professional-grade assets using simple prompts, costing only a few dollars in AI credits.

Beyond static photo enhancement, the larger opportunity lies in turning those still images into cinematic video walkthroughs. Iman demonstrates pasting a prompt into Higgsfield that transforms still property shots into high-end, moving video footage directly from a laptop. This serves two commercial purposes for a seller: it increases buyer inquiries, and it saves significant time. The video walkthrough acts as a pre-screening mechanism where buyers who dislike the layout filter themselves out before booking an in-person viewing, preserving the agent’s weekends for high-intent buyers.

```mermaid flowchart TD accTitle: AI Real Estate Media Workflow accDescr: Step-by-step process of sourcing listings, enhancing media with AI, and pitching clients with upsells. subgraph Sourcing["1. Prospecting"] A["Browse Portals<br/>(Airbnb, Zillow, Booking.com)"] --> B["Identify Weak Listings &<br/>Extract Public Contacts"] end subgraph Processing["2. AI Generation"] B --> C["Input Photos to Higgsfield"] C --> D["Generate Enhanced Images<br/>(Low-cost credits)"] C --> E["Generate Cinematic Walkthrough<br/>(Portfolio showcase)"] end subgraph Outreach["3. Sales & Retainer"] D --> F["Pitch Agent with Free<br/>Before/After Samples"] F --> G["Upsell Video Walkthrough<br/>($100 package)"] G --> H["Land Monthly Retainer<br/>($5k - $10k/mo)"] end ```

To secure clients, Iman recommends browsing portals such as Airbnb, Zillow, Property24, or Booking.com, where contact information (names, emails, phone numbers) is publicly available. He suggests taking a few poor photos, enhancing them, and emailing the agent a side-by-side before-and-after comparison completely free of charge. Because video generation is more credit-intensive, creators should make one polished sample walkthrough to pitch as an upsell once the client expresses interest in the photos.

Iman addresses the financial realities, turnaround times, and competitive landscape of the model: - **Pricing & Profit Potential:** Deliverables can be packaged around $100 for enhanced photos combined with a walkthrough video. Because credit costs are only a few dollars, margins are wide. Signing multiple agents can yield $5,000 to $10,000 a month in recurring retainers. - **Startup Speed:** Operations can launch in a matter of days with only a laptop and a subscription to an image/video platform like Higgsfield; landing a single client can cover tool expenses tenfold. - **Competition & Tier Ranking:** Competition is currently low because most agents and freelancers remain unaware of recent leaps in generative video quality, though that early-mover advantage is temporary. Despite the profit margins, Iman places this method in **B Tier** due to service fulfillment limits, explaining: “The only thing holding it back is that it's a service, which means your time is the product. The more money you make, the more time it takes to fulfill the work.”

---

[05:00](https://www.youtube.com/watch?v=hriu0irRcpE&t=300s) Method Two: Long-Form Content Repurposing Engine

Mark takes over to introduce the second method: mining the valuable back catalog of content creators, podcasters, and businesses. Many creators produce long-form videos and podcasts every week but lack the bandwidth to slice those recordings into X (formerly Twitter) threads, LinkedIn posts, newsletters, and short-form video scripts. While some might assume creators could just copy and paste transcripts into ChatGPT, generic prompting outputs bland, robotic prose that fails to capture the creator’s natural tone. Business owners are willing to pay someone to systematically capture their personal voice and run a dependable content distribution machine.

```mermaid flowchart LR accTitle: AI Content Repurposing Workflow accDescr: Process of pulling long-form source material, passing it into a custom Claude Project, and outputting voice-tailored distribution assets. subgraph Input["Source Extraction"] A["Long-Form Video/Audio<br/>(YouTube / Podcasts)"] --> B["AI Transcription Platform<br/>(Full Text)"] end subgraph Context["Claude Workspace"] B --> C["Claude Project Workspace"] D["Brand Context &<br/>Style Guidelines"] --> C end subgraph MultiOutput["Multi-Platform Deliverables"] C --> E["Newsletter"] C --> F["Short Video Scripts"] C --> G["X Threads & Posts"] C --> H["LinkedIn Posts"] end ```

Mark outlines the exact four-step operational workflow: 1. **Target Selection:** Find active creators or brands producing long-form material on YouTube, Spotify, or Apple Podcasts (Mark illustrates this using content from his own economics channel). 2. **Transcription:** Extract the entire spoken audio file using an affordable AI transcription platform. 3. **Dedicated AI Workspace Setup:** Open Claude, create a new "Project" titled after the client (e.g., "Mark's Economics"), upload reference background files, and define specific "Project Instructions" so Claude learns the creator's exact cadence, vocabulary, and formatting habits. 4. **Execution & Delivery:** Feed the raw transcript into the project to automatically draft newsletters, social posts, and video scripts in minutes.

To sign clients, Mark advises auditing creators who post heavily on a single channel (such as a podcast) but neglect platforms like newsletters or LinkedIn. Pitch them by transforming a recent episode into multi-platform assets and emailing them the work as a free sample. Quality control remains paramount during this step. As Mark cautions: “After all, this quality control is what they'll end up paying me.”

- **Earnings Potential:** Most arrangements operate on monthly retainers tied to production volume, typically paying a few hundred to a couple thousand dollars per client every month. - **Operational Costs:** Minimal overhead, requiring only a Claude subscription and an affordable transcription platform, both of which are covered by the first paying client. - **Turnaround Time & Market Competition:** Anyone with basic editorial taste can begin pitching within days. While market competition is moderate, Mark notes that the vast majority of competitors simply deliver raw, generic AI copy without voice training. - **Tier Placement:** Because the model delivers high recurring value through a simple workflow, Mark ranks it in **A Tier**, noting that while it remains a service tied to time, its low friction and strong retainer dynamics make it exceptionally practical.

Mark concludes the segment by teasing a major, high-leverage AI opportunity that he and Iman agreed represents the single biggest vehicle in the market today—one so expansive that it warrants a dedicated breakdown.

[09:20](https://www.youtube.com/watch?v=hriu0irRcpE&t=560s) The AI Income Challenge Announcement

Mark Tilbury wraps up the previous discussion by pointing out that simply having a concept is useless without an actionable roadmap to execute it. Instead of merely listing passive ideas, Mark announces a live, free five-day event called the AI Income Challenge starting on November 7th. During this challenge, he and Iman Gadzhi plan to walk participants step-by-step through building an AI-driven venture from scratch. Urging viewers to secure their registrations through the link in the description, Mark emphasizes the necessity of early action in the fast-moving artificial intelligence landscape.

As Mark puts it: “I'll drop the link in the description, so go and save your spot right now because the people who move first on an opportunity like this are the ones who win and the ones who wait until everyone else knows about it are the ones that get left behind.” With the announcement made, Mark turns the floor back over to Iman for the third money-making method.

---

[09:55](https://www.youtube.com/watch?v=hriu0irRcpE&t=595s) Method 3: AI Lead Reactivation for Local Businesses

Iman Gadzhi introduces an automated approach focused on reviving forgotten leads. Every local business—whether a dental practice, a gym, a roofing contractor, or a med spa—routinely collects inquiries from people who filled out a contact form, messaged, or called for pricing. Over time, hundreds or even thousands of these prospects stall out and sit untouched in spreadsheets and customer relationship management (CRM) databases gathering dust. Because these individuals already expressed clear buying intent in the past, the most expensive and grueling part of the customer acquisition funnel is already complete. Iman describes these neglected contacts as literal money lying on the floor, ready to be scooped up using artificial intelligence rather than manual labor.

```mermaid flowchart TD accTitle: AI Lead Reactivation Workflow accDescr: Step-by-step pipeline showing how dead leads are imported, messaged via AI, and converted into booked appointments.

subgraph DataPrep ["1. Lead Import"] A["Business CRM / Spreadsheet<br>(Dead Leads)"] --> B["Upload Contacts to HighLevel"] end

subgraph AIConversation ["2. Automated Outreach"] B --> C["Generate Natural Copy<br>(via Claude)"] C --> D["Send SMS Re-engagement"] D --> E{"Lead Replies?"} end

subgraph Conversion ["3. AI Booking & Monetization"] E -->|"Yes"| F["HighLevel Conversation AI<br>(Trained on FAQs, Services & Pricing)"] F --> G["Booked Appointment"] G --> H["Pay-on-Results Commission<br>($50 - $200+ per Show-Up)"] end ```

To execute this, Iman demonstrates a three-step workflow utilizing HighLevel alongside Anthropic's Claude:

1. **Importing Dormant Data:** You collect the neglected customer list directly from the business owner and upload it into HighLevel's contact manager. 2. **Drafting Natural Re-engagement Messages:** Using Claude, you generate warm, conversational, and non-salesy initial outreach texts. Iman shares a live prompt example tailored for a dental clinic: *"Hey Sarah, it's Bright Smiles Dental. We came across your details from a while back. Are you still interested to get that checkup sorted?"* 3. **Automated Conversation Management:** Once a lead replies, HighLevel’s built-in Conversation AI takes over the chat. The bot is seeded with company details, services, pricing, and a single core objective: driving the prospect to book an appointment.

The pitch to business owners is virtually frictionless because it operates purely on performance. Owners are not forced into paying retainers or software fees upfront; they only pay when a revived lead actually books and shows up. Iman cautions that operators must follow strict compliance rules: never use cold or scraped lists purchased online, strictly message past opt-ins, always provide clear opt-out language, and obey regional text-messaging marketing laws.

- **Earning Potential:** Operators can charge anywhere from $50 to a few hundred dollars per confirmed, attended appointment. Scaling to a handful of consistent clients can generate roughly $10,000 per month. - **Time to Launch:** While learning how HighLevel and conversation logic work requires about a week of setup, ongoing workload remains minimal once the bots are live. - **Competition & Tier Placement:** Although lead reactivation is somewhat known, local demand still heavily outstrips the supply of competent providers. Because it requires technical onboarding and has moderate competition compared to niche services, Iman places it firmly into **B Tier**.

Highlighting why business owners rarely decline the offer, Iman explains: “You're not asking them to spend any more money as you only get paid when an old lead turns into a customer.”

---

[13:46](https://www.youtube.com/watch?v=hriu0irRcpE&t=826s) Method 4: AI Website Redesigns and Maintenance

Mark Tilbury takes over to detail an opportunity centered on revamping obsolete business websites. A staggering volume of local trade businesses operate websites that look stuck in 2003—sluggish, poorly laid out, and completely broken on mobile screens. Small business owners recognize their sites are embarrassing, yet they delay upgrades because traditional creative agencies demand thousands of dollars and weeks of turnaround. With generative web tools, beginners can now produce sleek, responsive sites in minutes and deliver redesigns at a small fraction of traditional agency prices.

Mark outlines his standard acquisition strategy:

1. **Prospecting via Google Maps:** Search localized niches (for example, "gardeners in Kent") and audit the results. You will quickly encounter dozens of companies with broken mobile formatting or archaic layouts. 2. **Instant AI Generation:** Open an AI website builder dashboard and input a descriptive prompt such as: *"modern, mobile-friendly website for a gardening business in Kent, England."* Mark advises pasting in the target company's real opening hours, existing service lists, and online reviews so the AI populates accurate layouts, visual sections, and custom copy automatically. 3. **Speculative Outreach:** Send a no-pressure email containing preview links or screenshots of the newly generated mockup. Mark uses a simple, disarming script: *"Hi, I noticed your website wasn't working well on mobile, so I put together a quick redesign. Here's what it could look like. Happy to make changes."* 4. **Closing and Retainers:** When an impressed business owner agrees, charge an upfront fee to connect their domain and launch the site, then attach an ongoing monthly retainer covering hosting, minor copy updates, and routine maintenance to create predictable recurring cash flow.

- **Earning Potential:** Typical clients pay between a few hundred to a couple of thousand dollars for the build, alongside recurring monthly hosting and maintenance fees. - **Speed to Start:** Minimal technical skills are needed because artificial intelligence handles the design, wireframing, and code. A user can find a target and deliver a finished redesign sample within a single week. - **Competition & Tier Placement:** Because web design has low barriers to entry and remains crowded with freelancers, standing out requires designing sites optimized specifically for phone calls and bookings rather than mere aesthetics. Since it leans toward one-off transactional jobs unless converted to a retainer, Mark wrestles between tiers and decides to rank it right on the boundary between **B Tier and C Tier**.

Evaluating the competitive landscape, Mark stresses: “If you focus on sites that get customers to call or book, you'll stand out.”

---

[17:48](https://www.youtube.com/watch?v=hriu0irRcpE&t=1068s) Method 5: AI-Generated Short-Form Ads and UGC

Iman Gadzhi introduces the fifth method: producing high-performing short-form video advertisements for brands on platforms like TikTok and Instagram without owning camera gear, hiring actors, or acting as an on-camera influencer.

Iman reflects on his past experience running a digital marketing agency, detailing the bloated operational nightmare traditionally required to manufacture user-generated content (UGC) ads. In the past, testing a product video required hiring specialized copywriters, video editors, and graphic designers, physically mailing free product samples across the country to content creators, waiting weeks for raw footage, and manually cutting variations—all before knowing if the campaign would deliver a positive return on investment.

Today, AI generation platforms compress that multi-week, capital-intensive ordeal into a single afternoon on a laptop. Marketers can now feed raw product images and assets into generative platforms like Higgsfield to create dozens of unique visual ad creatives and unboxing-style variations instantly.

Iman underlines the massive efficiency shift: “It was slow, it was expensive, and every new ad costed you time and money before you even knew whether it would work.”

[18:51](https://www.youtube.com/watch?v=hriu0irRcpE&t=1131s) Generating AI UGC Ads and Ranking Method Five

To complete the AI UGC (user-generated content) video, an avatar image and product images are uploaded into the software. Demonstrating with a sample lip plumper found online, the creator prompts the AI to specify the scene: an excited woman sitting on her bed holding the product toward the camera, opening it, applying it while talking, and finishing with a thumbs-up. The accompanying script reads: *"So everyone kept asking me what I was wearing on my lips, so here it is. This is the one, it's my everyday go-to now. Super easy to put on, and I've had so many compliments. Link below if you wanna try it."*

```mermaid flowchart TD accTitle: AI UGC Video Ad Creation Process accDescr: Three-step pipeline showing asset input, prompt setup, and output verification for client outreach.

subgraph Inputs["1. Asset Inputs"] A["Avatar Image"] B["Product Photos"] end

subgraph Config["2. Prompting & Logic"] C["Scene Direction: Action & Expressions"] D["Conversational Script & Hook"] end

subgraph Output["3. Review & Pitch"] E["Render Video"] F["Verify Claims, Branding & Visuals"] G["Cold Pitch Spec Ad to Brand for Retainer"] end

Inputs --> Config Config --> Output ```

The resulting render matches the prompt closely, with the avatar smoothly speaking the lines and showing off the cosmetic tube. In a real-world workflow, this generated video would be pitched directly to the brand to demonstrate value upfront—mirroring Mark Tilbury's website revamp strategy—to secure paid production work for additional assets. However, quality assurance is mandatory before outreach to verify that the visuals, claims, and branding align correctly.

From an earnings standpoint, brands pay human UGC creators between $100 and $600 USD or more for a single clip, contingent on creator reach and commercial usage rights. Translating that into an AI service, an operator can package a set batch of monthly creative variations into client retainers worth several thousand dollars per month. Despite the rapid generation time, the skill barrier centers entirely on advertising fundamentals—understanding hooks, angles, and scroll-stopping consumer psychology. Because AI advertising is receiving heavy public attention, competition is relatively crowded, making it a busy space to enter.

> “Out of everything on this board, it has the biggest earning potential.” — Iman Gadzhi

Weighing the unmatched ongoing demand and recurring retainer income against the steep learning curve required to craft profitable marketing, Iman places AI UGC ads into **A-Tier** with a cautionary warning for pure novices.

- Standard single-video market rate for UGC: $100–$600+ USD. - Retainer potential: Several thousand dollars per client every month. - Competitive landscape: Crowded and gaining mainstream traction. - Primary hurdle: Mastering hooks, ad angles, and direct-response marketing rather than operating the AI software itself. - Tier assigned: **A-Tier**.

---

[21:23](https://www.youtube.com/watch?v=hriu0irRcpE&t=1283s) Method Six: AI Customer Support Setup and Testing

Mark Tilbury introduces the sixth method: building custom AI customer support agents for businesses drowning in repetitive client queries. Small business operators spend hours answering identical inquiries regarding order statuses, return policies, and weekend operating hours while simultaneously attempting to run operations. While businesses could theoretically implement an off-the-shelf chatbot independently, unconfigured and untrained bots routinely generate hallucinations and inaccurate statements, resulting in a customer experience worse than providing no automated support at all.

```mermaid flowchart LR accTitle: Customer Support AI Setup Flow accDescr: Step-by-step implementation of an AI customer support bot from ingestion to live testing.

A["Select Platform: Chatbase or Tidio"] --> B["Ingest Knowledge: Website, FAQ, Policies"] B --> C["Configure Guardrails: Tone & Human Handoff"] C --> D["Stress-Test Edge Cases & Return Policies"] ```

The implementation relies on third-party AI platforms such as Chatbase or Tidio:

1. **Platform Selection:** Select a no-code engine suited to the business type (Mark uses Chatbase for the walkthrough). 2. **Knowledge Base Ingestion:** Supply business assets, such as website URLs, frequently asked question databases, and return documentation, to ground the language model. 3. **Guardrails and Persona Configuration:** Provide specific operational system prompts: *"You are a customer support assistant. Keep the answers short and friendly. Only answer using the information provided. And if you don't know, say so and offer to pass the customer to a human."* 4. **Validation and Stress Testing:** Submit policy-specific questions (such as asking for return requirements) to confirm accuracy before deployment.

> “Well, I know from experience that a chatbot dumped on a website with no training gives the wrong answers, which is worse than having no chatbot at all.” — Mark Tilbury

Pricing models for this service combine an upfront setup fee with an ongoing monthly maintenance fee for knowledge base adjustments. The workflow requires zero custom coding, enabling a complete setup within an afternoon. However, Mark places the opportunity in **B-Tier**. The market is moderately to highly competitive, business owners can easily access the platforms directly, and if an improperly guarded chatbot dispenses bad information to customers, the agency owner takes the direct blame.

- Key software options: Chatbase, Tidio. - Setup timeframe: Operable in a single afternoon without writing code. - Pricing structure: One-off setup invoice paired with a monthly support and update retainer. - Market competition: Medium to high. - Primary operational risk: Hallucinations and incorrect policies lead to direct liability for the creator. - Tier assigned: **B-Tier**.

---

[24:46](https://www.youtube.com/watch?v=hriu0irRcpE&t=1486s) Method Seven: The S-Tier Opportunity and The Live Challenge

Mark and Iman convene to discuss the final business model, which they have reserved exclusively for the top **S-Tier** ranking. When evaluating what specific business venture they would launch from ground zero today armed with their current AI knowledge, both came to the exact same conclusion. Rather than condensing such an involved operational model into a five-minute segment at the tail end of a video—which risks viewers attempting it without direction for a weekend before quitting—they elect to present the model over an extended format.

> “That’s right, we both asked ourselves if we had to start again from zero today with everything that we know about AI, what's the single best way that we would choose to make money? And we actually landed on the exact same answer and as Mark said, it beats everything else on this board.” — Iman Gadzhi

They announce the **AI Income Challenge**, a free five-day live event scheduled to begin on November 7th. The event will detail the specific S-Tier business model and provide an interactive, day-by-day implementation framework for attendees to build out the income stream in real time. Viewers are prompted to reserve access via the video description before Mark closes out the video with a call to subscribe.

- Challenge event: AI Income Challenge (5 days, live and free). - Start date: November 7th. - Goal: Step-by-step real-time implementation of their consensus top-ranked AI business model. - Tier assigned: **S-Tier**.

## Notable quotes > [00:00](https://www.youtube.com/watch?v=hriu0irRcpE&t=0s) Every business knows that they need to be using AI, but almost none of them know how to, which means that the real money goes to whoever can take these AI tools and put them to work for a business. — Iman Gadzhi

> [21:23](https://www.youtube.com/watch?v=hriu0irRcpE&t=1283s) I know from experience that a chatbot dumped on a website with no training gives the wrong answers, which is worse than having no chatbot at all. — Mark Tilbury

## Mentioned Mark Tilbury, Iman Gadzhi, Higgsfield, Airbnb, Zillow, Property24, Booking.com, X, LinkedIn, ChatGPT, Claude, Spotify, Apple Podcasts, HighLevel, Anthropic, Google Maps, Chatbase, Tidio, AI Income Challenge

## Video description 🔗 FREE CHALLENGE: Let's build a $373/day AI Income LIVE (Nov 7th-15th, 2026): https://link.consulting.com/yt-trailer-mt-aic

Making money with AI is easier than ever, but which AI side hustles are actually worth your time? Well, in this video, I’ve teamed up with Iman Gadzhi to rank 7 of the best ways to make money with AI in 2026, even if you're a complete beginner.

From AI automation and AI agents to creating AI videos, building websites and starting an AI business, we’ll show you exactly how these opportunities work, how much money you could make and which ones we'd personally choose if we were starting from scratch. ________________________________________________ 00:00 Intro 00:51 AI Method One 05:00 AI Method Two 09:55 AI Method Three 13:46 AI Method Four 17:48 AI Method Five 21:23 AI Method Six 24:46 AI Method Seven ________________________________________________ GET IN TOUCH: For business inquires only, please use this email: mark@marktilbury.com

[Source](https://www.youtube.com/watch?v=hriu0irRcpE)

中文简报

Tilbury与Gadzhi认为AI代理模式优于自研初创企业 人工智能的真正利润在于部署第三方工具以推动非技术型企业现代化，而非与拥有风投支持的巨头竞争去开发自研软件。 Mark Tilbury和Iman Gadzhi打破了从AI中获利必须创立复杂软件公司的误区，认为真正的盈利机会在于将现有的AI工具整合到日常业务中。在视频中，他们评估并在梯队列表中对七种实用的服务模式进行了排名，涵盖房地产媒体优化、内容再利用、潜客激活、网站重新设计、UGC广告以及客户支持机器人。两位主持人并未将AI视为全自动的魔法，而是强调了人工质量把控、直接响应营销基本功以及基于效果推介业务的必要性。最后，他们将最顶级的S级模式留给了将于11月7日开始的深度、为期五天的实况挑战营。 Mark Tilbury与Iman Gadzhi认为，试图构建自研AI模型或初创公司会让创始人直面资金雄厚的科技巨头的竞争，而切合实际的盈利途径在于为缺乏实施专业知识的企业部署现成的AI工具。 (0:00) 在评估的七种AI变现模式中，用于UGC广告的生成式视频制作因巨大的固定服务费（retainer）潜力而位列A级；而房地产媒体、潜客激活和客户支持机器人由于交付上限、搭建成本或运营风险被归为B级。 (18:48) 两位主持人在本期节目中保留了其评价最高的S级商业模式的完整运营机制，并引导观众参加定于11月7日开始的为期五天的免费实况“AI收入挑战营”。 (24:46)

Reading summary

Mark Tilbury and Iman Gadzhi argue that the primary commercial opportunity in artificial intelligence lies in integrating existing tools into everyday business operations rather than building proprietary software from scratch. Media Enhancement and Content Repurposing (0:51) Entrepreneurs can capture immediate cash flow by improving digital assets for property managers and content creators. Using generative platforms like Higgsfield, operators can transform smartphone photos of real estate into polished images and cinematic video walkthroughs for around $100 per package, potentially scaling to $5,000–$10,000 monthly retainers. However, Gadzhi ranks this in B Tier because fulfillment remains tied to personal time. In contrast, Tilbury places editorial content repurposing in A Tier. This model takes audio from podcasts or YouTube, transcribes it, and routes it through tailored Claude Projects to produce platform-specific newsletters, scripts, and social posts. While basic AI prompting yields generic text, configuring system instructions to mirror a creator's unique voice establishes reliable monthly retainers ranging from hundreds to several thousand dollars. Automating Lead Recovery and Support Operations (9:55) Operational bottlenecks in local commerce provide high-margin service opportunities with minimal upfront investment. For local service providers such as dentists or roofers, Gadzhi highlights lead reactivation via platforms like HighLevel paired with Claude. Instead of charging fixed setup retainers, operators run AI text outreach on dormant CRM contacts and charge performance fees of $50 to several hundred dollars per attended appointment, yielding up to $10,000 per month. This is classified as B Tier due to technical setup and compliance demands. Similarly, Tilbury assigns B Tier to automated customer support implementations built on no-code tools like Chatbase or Tidio. While these bots resolve repetitive queries regarding hours and policies, ungrounded bots risk hallucinations, making agency operators directly liable if incorrect details reach customers. Generative Advertising and Website Restructuring (13:46) Front-facing marketing assets can be produced rapidly using generative models, though commercial success depends heavily on direct-response principles. Tilbury outlines an AI website redesign model targeting local contractors whose legacy sites fail mobile standards. Using automated builders populated with actual business hours and reviews, operators send speculative redesign previews to close upfront launch fees alongside ongoing maintenance contracts, ranking the model on the B/C-Tier border due to a crowded freelance market. For paid acquisition, Gadzhi assigns A Tier to synthetic user-generated content (UGC) video ads generated via Higgsfield. While this method bypasses the logistical costs of shipping samples and hiring creators—yielding single-video rates of $100–$600+ USD and multi-thousand-dollar monthly brand retainers—it requires genuine mastery of advertising hooks and consumer psychology. While Tilbury and Gadzhi evaluated six accessible service businesses across their tier list, they reserved their top S-Tier business model for an interactive rollout during a five-day live event scheduled for November 7th, leaving the specific operational mechanics of their preferred model undisclosed within the primary program.

精炼阅读摘要

Mark Tilbury 与投资人 Iman Gadzhi 认为，初学者在人工智能领域的主要误区是盲目开发专有软件或初创底层产品，真正的商业机会在于利用现有 AI 工具解决传统企业的日常运营与交付痛点。他们系统评估了七种无需代码背景的 AI 变现途径，强调基于技术整合的服务交付与绩效分成是当前最具可行性的路径。 认知纠偏与服务赋能逻辑 (0:00) Mark Tilbury 指出，市场上试图从零开发 AI 底层工具或创办初创公司的个体，约有 99% 会被手握数亿美元风险投资的科技巨头迅速淘汰。担任数十亿美元级 AI 企业顾问与投资人的 Iman Gadzhi 补充说明，现代企业虽然普遍意识到引入人工智能的必要性，但绝大多数缺乏将其融入日常业务流程的专业认知。因此，巨额利润往往流向能够熟练配置这些工具并帮企业解决实际运营问题的实施者。 基于这一判断，两人建立了一套评估 AI 商业模型的等级标准。在他们看来，评判标准并非技术有多深奥，而是该业务模式是否具备稳固的利润空间、能否从单次买断转为月度持续付费（Retainer），以及交付过程是否过度消耗个人的有限时间。 视觉与营销：房产与广告轻量交付 (0:51) 在视觉资产生成领域，两人剖析了三种降低履约成本的应用场景。针对房产中介与短租房东（如 Airbnb 和 Zillow 房源），初学者可使用 Higgsfield 等生成式平台，仅耗费数美元的额度即可将低质量手机照片升级为精修图并生成动态漫游视频。Iman 建议向中介免费发送修改前后的对比样本以撬动合作，基础交付包可定价 100 美元左右，积累多个客户即可实现每月 5,000 至 10,000 美元的长期服务费；但鉴于其仍属售卖个人时间的交付模式，该方法被列为 B 级。 针对品牌在 TikTok 和 Instagram 上的营销需求，Iman 评估了 AI 原生 UGC（用户生成内容）短视频制作。传统 UGC 需邮寄实物并花费数周协调真人达人，而利用 AI 仅需输入虚拟人像与产品图，便可在短时间内生成多组带货变体。鉴于真人创作者单条视频报价通常在 100 至 600 美元以上，AI 代运营团队能以每月数千美元的打包方案向品牌收费，因此被评为 A 级，但该领域要求从业者具备扎实的直接响应营销与吸睛脚本设计功底。相比之下，Mark 介绍的基于 Google Maps 发掘老旧网站并用 AI 快速重构的模式，因自由职业者竞争激烈且容易演变成单次低价交易，被评定在 B 级与 C 级边缘。 存量挖掘：长内容裂变与沉睡线索 (5:00) 在盘活存量业务资产方面，AI 展现出极高的时间杠杆。Mark 提出的长视频内容再利用引擎被评为 A 级：针对持续产出播客或 YouTube 视频的创作者，从业者可利用转录软件提取文稿，并导入 Claude 的“Project”专属工作区，在预设语气、风格和格式指引下，批量输出电子报、LinkedIn 贴文及短视频脚本。该服务通常按月收取数百至数千美元，不仅工具成本极低，更依靠定制化的风格微调建立了相对通用 AI 提示词更高的品质护城河。 针对本地实体商家，Iman 提出了基于客户关系管理系统（CRM）的“沉睡客户激活”模式（评为 B 级）。针对牙医诊所或家装公司长期闲置的咨询线索，操作者可将数据导入 HighLevel 平台，利用 Claude 生成温和、自然的短信唤醒潜在客户，并由内置的对话 AI 自动应答并锁定到店预约。该模式按成交或到店结果收费（每位到店客户收取 50 至 200 美元以上），商户接受门槛极低，但操作者必须遵守短信营销合规法规，且需投入约一周时间掌握平台自动化逻辑。 自动化客服风险与 S 级路径预告 (21:23) 在企业服务环节，Mark 介绍了利用 Chatbase 或 Tidio 等无代码工具搭建专属 AI 客服智能体的途径（评为 B 级）。操作者只需导入企业官网、常见问题解答及退货政策，便能在单个下午完成部署，并采用“初装费加月度维护费”的方式盈利。然而 Mark 强调，如果缺乏严格的系统约束和人工转接机制，聊天机器人很容易产生事实幻觉（Hallucinations）并提供错误指引，这比没有客服更具破坏性，且代理人需对失误承担直接责任。 在盘点完上述六种模式后，Mark 与 Iman 一致认为存在一个更具优势、能解决前述缺陷的顶层商业机会，并将其唯一评为 S 级。他们并未在简短的视频结尾草率展开该模型，而是宣布将在 11 月 7 日启动为期五天的免费实况活动“AI Income Challenge”，向受众完整拆解这一两人一致认同的最佳商业载体并提供实操指导。 Mark Tilbury 与 Iman Gadzhi 提出的商业逻辑表明，现阶段非技术人员从 AI 获利的核心在于充当技术与传统业务之间的“翻译器”和外包实施方。不过，多数服务型模型仍面临交付时长限制、市场同质化竞争加剧以及输出质量不可控等现实瓶颈；两人推崇的 S 级模式究竟能否突破上述局限，仍有待其实况活动中的具体业务架构揭晓。

Source quotes

[0:00] Iman Gadzhi: Every business knows that they need to be using AI, but almost none of them know how to, which means that the real money goes to whoever can take these AI tools and put them to work for a business. [21:23] Mark Tilbury: I know from experience that a chatbot dumped on a website with no training gives the wrong answers, which is worse than having no chatbot at all.

Original transcript

[0:00] Believe it or not, [0:01] everyone trying to make money with AI [0:02] right now is making the exact same mistake. [0:05] You see, most people think they have [0:07] to build their own tool or some kind [0:09] of AI startup, but 99% of them will [0:12] get demolished by the huge companies [0:14] with millions in funding. [0:15] E-Man here is an investor [0:17] and advisor to a multi-billion dollar [0:19] AI company, so I asked him to film [0:21] this video with me to share his unique [0:23] insight into where the industry is [0:25] heading over From what you're seeing, [0:28] how are the people making serious [0:29] money with AI doing it? [0:31] Well, every business knows [0:32] that they need to be using AI, [0:34] but almost none of them know how to, [0:36] which means that the real money goes [0:38] to whoever can take these AI tools [0:40] and put them to work for a business. [0:42] And that's why today, [0:43] E-Man and I are breaking down the [0:44] proven ways to do just that, [0:46] and we're going to be ranking them on [0:48] this tier list. [0:49] And as he's my guest, [0:50] I'll let E-Man take the first one. [0:55] So this is all about getting paid to [0:57] make property listings look [0:58] incredible, and you can use AI to do [1:01] all the work for you. [1:02] You see, every real estate agent [1:04] and property owner knows [1:05] that their photos are one of the first [1:08] things that a buyer or a guest sees, [1:10] and most of them are these rushed [1:12] phone pictures with bad lighting [1:14] and even worse angles. [1:15] And most of them know that it's [1:17] costing them inquiries, [1:18] but they don't have the time [1:19] or budget to hire a professional [1:21] photographer to fix it. [1:23] And that's where you come in, [1:24] because a few dollars in AI credits [1:26] can turn these dodgy photos into [1:28] something that looks like a [1:29] professional shoot, [1:30] and that's worth a lot more to them [1:32] than what you charge. [1:34] But that's enough theory. [1:35] How do you actually do this? [1:36] So you're going to start off by going [1:37] to any property listing website. [1:39] I'm here on Airbnb, [1:41] but you can use Zillow, [1:42] Property24, or even Booking.com. [1:45] Look, it doesn't really matter. [1:46] So take some time to go look through [1:48] all the listings and photos, [1:50] and I can immediately see there are [1:51] some pretty bad ones here. [1:53] So your job, or in fact, [1:55] I should say AI's job, [1:56] is to fix that. [1:57] So the next step is you're going to [1:58] take the photos here on the listing, [2:00] and then you're actually going to feed [2:01] them into an AI image generation [2:03] platform such as Hixfield. [2:05] And then it's just a case of typing in [2:06] a simple prompt like this in order to [2:09] improve them. [2:11] And there we go. [2:12] Look at how much better these are already. [2:14] But it doesn't stop there, [2:15] because the real opportunity is going [2:17] one step further and creating a [2:19] cinematic walkthrough video generated [2:22] from those same photos. [2:23] Let me show you what I actually mean. [2:25] So I'm going to paste this prompt in [2:26] here and see what it generates. [2:34] This is nuts that you can do this from [2:36] your laptop. [2:37] And look, I get it. [2:38] From your perspective, [2:39] you're sat here and you're going, [2:40] okay, well, why would a real estate [2:41] agent or Airbnb host pay for Well, [2:44] it's quite simple. [2:45] There are two main reasons. [2:46] The first is rather obvious. [2:48] Better photos and videos gets more [2:49] inquiries, and more inquiries means [2:51] more bookings and more sales. [2:53] But the second reason is the one [2:55] that most people never think of. [2:57] Time. [2:58] I mean, a walkthrough video actually [2:59] does the first viewing for them, [3:01] because the buyers who don't like the [3:03] layout, they filter themselves out at home. [3:05] Okay, so the agent only spends their [3:07] weekend with people who actually want [3:09] the place. [3:10] So if I wanted to offer this, [3:11] how would I actually Well, [3:13] believe it or not, [3:14] finding a list of potential clients is [3:16] as easy as their names, [3:18] emails and phone numbers [3:19] that are already sat here on online [3:22] property listings. [3:23] So I'd pick a couple with terrible photos. [3:25] I would improve them and I would [3:26] actually send them the before [3:27] and afters as a free sample. [3:30] This is pretty cheap and fast, [3:31] so you can do lots of them for [3:33] different agents. [3:34] And then I would produce one [3:35] walkthrough video that you can use as [3:37] an example of your work. [3:39] Now, these are a little bit more [3:40] expensive to generate, [3:41] so I wouldn't waste money doing this [3:43] for free. [3:43] Then when an agent bites on the [3:46] photos, I would actually show them [3:47] that example and offer the walkthrough [3:49] as the upsell. [3:50] But how much money can you make? [3:52] Look, I'm going to be honest. [3:53] You're not going to be charging [3:54] thousands per video here. [3:56] A walkthrough and some improved images [3:58] can be priced about $100 USD. [4:00] But it only costs you a few dollars in [4:02] credits to make, so the profit margins [4:03] are great. [4:05] And as you land more clients with more [4:06] listings, you can actually start [4:08] charging monthly retainers. [4:10] At that point, this can make you [4:11] anywhere from $5,000 USD to [4:12] $10,000 USD a month. [4:13] Look, it's not going to make you a [4:14] millionaire overnight, [4:16] but it's a pretty solid start. [4:17] So, how quickly can you get started? [4:20] Well, all you need is a laptop [4:21] and a subscription to a platform like [4:23] Higgsfield. [4:23] You can land your first client this [4:25] week, and your first paid job can pay [4:28] for the tool 10 times over. [4:29] So, how competitive is it? [4:31] I'd say this is low, [4:33] well, at least for now. [4:34] Most people haven't realized how good [4:36] AI photo and video generation has [4:38] become, but that window will close as [4:40] the word gets out. [4:42] So being early here counts for a lot. [4:44] The only thing holding it back is [4:46] that it's a service, [4:46] which means your time is the product. [4:48] The more money you make, [4:50] the more time it takes to fulfill the work. [4:51] So for that reason, [4:52] I'm actually going to go ahead [4:54] and put this in B tier. [4:56] But let's see if Mark's next one can [4:59] beat it. [5:02] Every creator has a goldmine sitting [5:04] in their back catalog, [5:06] and most of them don't even realize. [5:08] This idea is all about getting paid to [5:10] dig it out. [5:11] You see, loads of creators, [5:13] podcasters, and business owners are [5:14] already putting out long-form content, [5:16] such as a weekly podcast or a YouTube video. [5:19] And they know they should be turning [5:21] that into newsletters, [5:22] short clips, ex-posts, [5:24] and LinkedIn posts, [5:25] because that's how you get in front of [5:27] new audiences. [5:28] Now, you might be wondering, [5:29] why wouldn't they just paste it into [5:31] ChatGPT themselves? [5:33] The thing is, there's a bit more to it [5:35] than that. [5:35] You see, if you don't tell the AI how [5:37] the creator actually talks, [5:39] you just get a generic robotic post [5:41] that nobody wants to read. [5:43] And busy people don't have time to set [5:45] that up properly. [5:46] That's what they're paying you for. [5:48] So here's exactly how I do it. [5:50] Step one, pick a creator or business [5:52] that already makes long-form content. [5:54] Now, for this demo, [5:56] I'm going to use one of my videos from [5:58] my new economics channel. [6:01] This one here will do nicely, [6:04] but you can use YouTube, [6:06] Spotify, or any podcast. [6:09] Step two, get the transcript. [6:11] So you can easily get this by heading [6:13] over to an AI transcripting platform, [6:16] such as this one. [6:17] It's pretty cheap to get the full transcript. [6:21] Step three is where the magic happens. [6:23] You need to set up a dedicated AI [6:25] workspace for your client. [6:26] Now, to do this, I'm going to sign [6:28] into Claude and then New Projects. [6:32] I'm going to name it after the client, [6:35] something like Marks Economics. [6:39] Then comes the important bit. [6:41] Click here to add files and drop in [6:45] everything you can find on them. [6:46] Then I'll click Set Project [6:48] Instructions. [6:50] And this is where you tell Claude [6:51] exactly what you want. [6:55] Now, as you can see, [6:57] I've been really specific here. [6:59] So it sounds like the client [7:00] and not some generic robot. [7:03] Step four, paste the transcript [7:04] and let Claude get to work. [7:06] There we go. [7:07] And then I'll press Enter. [7:12] Look at that. [7:13] From one video, we've got a [7:15] newsletter, short form scripts, [7:18] ex-post and LinkedIn post, [7:20] all in the client's voice [7:21] and all in a couple of minutes. [7:23] So how would I get my first client? [7:25] Well, as I said, there are thousands [7:27] of creators and podcasters posting [7:29] long form content every week, [7:31] and you can see exactly who's active. [7:34] So I'd pick a few who post a lot on [7:36] one platform, but nowhere else. [7:39] Someone with a great podcast, [7:40] but no newsletter, for example. [7:42] Then I'll take one of their recent [7:44] episodes, repurpose it and send them [7:47] the finished content as a free sample. [7:49] But before I send it off, [7:51] I'd make sure to give everything a [7:52] proper read-through, [7:54] tweak anything that doesn't sound [7:55] right and check that it's accurate. [7:57] After all, this quality control is [7:59] what they'll end up paying me. [8:00] If they're impressed, [8:01] you can then offer to do it on a paid [8:03] basis, but how much can you make? [8:05] This one is great as most clients pay [8:07] monthly based on how many pieces of [8:10] content you produce each month, [8:11] which means you can make a few hundred [8:12] to a couple of $1,000 USD a month per [8:15] client depending on the volume [8:16] and quality. [8:17] That means you only need to land a [8:19] handful of clients and this can become [8:21] a proper income. [8:22] Your main costs are a Claude [8:24] subscription and a transcription tool, [8:26] but you'll easily pay for [8:28] that with just one client. [8:29] So how quickly can you start? [8:31] If you can read and can tell good [8:33] writing from boring writing, [8:35] you can be up and running within a few days. [8:37] So how competitive is it? [8:39] I'd say there's a decent amount of [8:41] competition as there are already [8:42] agencies and freelancers doing this [8:44] and more people are catching on [8:46] because the tools are so accessible. [8:48] But saying this, most of them just [8:49] paste a transcript into an AI [8:51] and send back whatever comes out. [8:53] The ones who set it up properly [8:55] and match the client's voice stand out. [8:57] The only downside, [8:58] just like E-man's first idea, [9:00] is it's a service so your time is [9:02] still the product. [9:03] But as it's so simple, [9:04] I've got to put it in the A tier. [9:07] Actually quickly, [9:08] before I hand back to E-man, [9:10] before we started filming, [9:12] we both agreed on one idea [9:13] that we believe is the biggest [9:15] opportunity right now, [9:17] but it's so big that we couldn't do it [9:19] justice in just one video. [9:20] I mean, we can tell you the idea [9:23] itself, but that's pretty useless [9:24] without a plan on how to actually do it. [9:27] So we're doing something completely different. [9:29] On November the 7th, [9:30] we're hosting a free five-day event [9:33] called the AI Income Challenge, [9:35] where we won't just reveal this idea, [9:37] we'll show you exactly how to build it [9:39] step-by-step from scratch. [9:40] I'll drop the link in the description, [9:42] so go and save your spot right now [9:44] because the people who move first on [9:46] an opportunity like this are the ones [9:47] who win and the ones who wait until [9:49] everyone else knows about it are the [9:51] ones that get left behind. [9:52] Right, over to you for the next one, E-man. [9:57] Every business has a list of people [10:00] who once said, I'm interested, [10:02] and were never followed up with. [10:04] So this idea is all about getting paid [10:06] to go back and turn them into customers. [10:08] You see, every time someone fills out [10:10] a form or sends a message or calls a [10:12] business asking about prices, [10:13] they become something called a lead, [10:16] but most of them never buy. [10:17] So all these leads just sit there in a [10:19] spreadsheet, a dentist, [10:21] a gym, a roofer, a med spa, [10:23] they've all got hundreds, [10:24] sometimes even thousands of them just [10:26] sat there gathering dust. [10:28] And that's crazy because these are [10:29] people who already showed interest. [10:31] So the hardest and most expensive [10:34] part, which is actually getting them [10:35] interested in the first place, [10:37] has already happened. [10:38] So these dead leads are money just [10:40] laying on the floor. [10:42] Your job, well I guess in this case [10:43] the AI's job, is just to go ahead [10:45] and pick it up. [10:46] And do you remember how both of mine [10:48] and Mark's last ideas were services? [10:50] So the more you earn, [10:51] the more time it takes. [10:52] Well, this one solves that [10:54] because the AI does the heavy lifting. [10:55] The first step is rather easy. [10:57] You're going to take that list of old [10:59] leads and load it into an AI tool [11:01] that can actually text them. [11:02] Now for this case, I'm actually using [11:03] a platform called High Level. [11:05] For the purpose of this video, [11:06] I've made a fake list of old leads for [11:09] a dental clinic. [11:10] So let's go ahead and import it. [11:11] All you're going to do is click [11:12] contacts and then import and upload [11:15] the list. [11:16] And there we go. [11:16] There are all of our old leads ready [11:19] to go. [11:19] Now in real life, this would be the [11:21] list that the business already has [11:23] sitting in their CRM or a spreadsheet. [11:26] Step two is just to get the AI to [11:27] write some natural sounding messages. [11:29] Now, I was just going ahead [11:31] and playing around with Claude for a [11:33] bit and it spat this out. [11:34] Hey Sarah, it's Bright Smiles Dental. [11:36] We came across your details from a [11:37] while back. [11:38] Are you still interested to get [11:40] that checkup sorted? [11:41] Step three, when Sarah replies, [11:42] we're going to use AI to actually [11:44] handle the conversation. [11:45] And there are lots of apps [11:46] that have an AI bought for this. [11:48] High Level's version is called the [11:50] Conversation AI. [11:51] Just set one up and tell it what [11:53] business it works for, [11:54] what the services are, [11:56] what the prices are, [11:57] and its goals, which in this case will [11:59] be booking an appointment. [12:00] But why would a business pay you for this? [12:02] Well, if you think about it, [12:03] why wouldn't they? [12:04] You're not asking them to spend any [12:06] more money as you only get paid [12:08] when an old lead turns into a customer. [12:11] So think about that from the owner's side. [12:12] They're not paying for another piece [12:13] of software that they might never use. [12:16] They only pay when they also get paid. [12:18] So it's a win-win. [12:20] Now, there's one rule that you need to [12:21] stick to with this one, [12:22] and that is only messaging people who [12:24] have previously opted in to hear from [12:26] that business, which means their own [12:28] old leads. [12:30] You never run a list that you bought online. [12:33] Also, you have to remember the rules [12:34] on texting vary by country. [12:36] So just check what applies wherever [12:38] you're operating and always give [12:40] people an easy way to opt out. [12:42] So how much can you make? [12:43] Well, because you're charging based on [12:45] results, you can charge very handsomely. [12:47] Anywhere from $50 USD to a couple [12:49] $100 USD for each appointment [12:50] that gets booked and shows up, [12:52] depending on what the business [12:54] actually sells. [12:55] If you land a handful of clients, [12:56] you could get to around $10,000 USD a month. [12:58] And because the AI handles the [13:00] conversations, taking on more clients [13:02] doesn't automatically mean [13:03] that you spend every hour of your day working. [13:06] But how quickly can you start? [13:07] Look, I'm going to be honest. [13:08] There's a bit more setup than my first [13:10] idea because you have to learn the [13:12] tool and how the conversations work. [13:14] But you can have this up and running [13:16] within a week or so. [13:17] As for competition, [13:18] this is better known than the real [13:20] estate idea, and there are already [13:22] people offering a lead reactivation. [13:24] But there are far more local [13:26] businesses sitting on neglected leads [13:28] than there are people willing to go in [13:30] and do it properly. [13:31] So the demand is still bigger than the supply. [13:34] And the only downsides is a bit more [13:36] setup and a bit more competition, [13:38] which is why it was close to A tier. [13:41] But for those two reasons, [13:42] I'm actually going to put this in B tier. [13:44] Let's see what Mark's got for us next. [13:49] This is all about getting paid to turn [13:51] a business's terrible website into one [13:54] that actually brings in customers. [13:55] You see, most local businesses know [13:58] their website is bad. [13:59] It's slow. [14:00] It looks like it was built in 2003, [14:02] and it's impossible to use on a phone. [14:05] But redesigning it means finding a [14:07] designer, waiting weeks, [14:08] and paying thousands so they just [14:10] leave it. [14:11] Luckily for you, AI can now build a [14:13] modern website in minutes, [14:14] so you can offer a makeover for a [14:16] fraction of what an agency charges [14:18] and still make a healthy profit. [14:20] So here's exactly how I do it. [14:22] Step one, find a local business with a [14:24] bad website, and there's loads out there. [14:27] I'm going to head over to Google Maps [14:29] and search for something like [14:32] gardeners in Kent. [14:36] And as you can see, a lot of these [14:38] have websites that are outdated, [14:41] slow, or don't work properly on mobile. [14:43] So just click through a few [14:45] and you will find plenty. [14:47] Let's use this one for a quick demo. [14:49] Now, apologies if this is your [14:51] business, but you could really do with [14:53] a makeover. [14:54] Step two, use an AI website builder to [14:57] make them a new one. [14:58] So let's go to my dashboard. [15:00] It asked me to describe the website. [15:02] So I'm going to type in something like modern, [15:07] mobile-friendly website for a [15:13] gardening business in Kent, England. [15:18] Right. [15:19] I'll then just have a look at their [15:21] services, opening hours, [15:22] and reviews, then list all [15:24] that stuff in this prompt. [15:26] Now, the more detail you give it, [15:28] the better the results. [15:30] And then press enter. [15:34] And look at that. [15:36] It's built a full website, [15:37] layout, text, images, everything. [15:40] Now, if I want to change something, [15:42] I can actually drag things around [15:43] myself, or I could just tell AI what I [15:47] want it to do for me. [15:48] Look, it won't be perfect. [15:50] So you'd always have to check the details. [15:52] But as a starting point, [15:54] that is insane. [15:55] Here's the old website next to the new one. [15:57] It's a night and day difference, [15:59] in my opinion. [16:00] And let's just check it on mobile. [16:04] There you go, how about that? [16:05] That is pretty perfect, [16:06] to be honest. [16:08] Step three, send it to the business as [16:09] a free sample. [16:11] Now, I'm gonna email them. [16:14] Hi, I noticed your website wasn't [16:16] working well on mobile, [16:18] so I put together a quick redesign. [16:22] Here's what it could look like. [16:24] Happy to make changes. [16:26] Step four, if they like it, [16:28] charge them to finish it and put it [16:29] live, then offer to look after it monthly. [16:32] So how much can you make? [16:34] Well, most local businesses will pay a [16:36] few hundred to a couple of $1,000 USD [16:38] for a new website, [16:39] which is far less than an agency would charge. [16:42] Then you can add a monthly fee for [16:44] hosting, updates and small changes, [16:46] which turns a one-off job into [16:48] reoccurring income. [16:49] Your costs are an AI website builder [16:52] and a bit of your time. [16:53] So how quickly can you start? [16:56] Honestly, straight away. [16:57] There's not much to learn [16:59] because the AI does the design. [17:01] What you're really learning is what [17:02] makes a website work for a local [17:04] business, such as clear services, [17:07] easy contact details and a good mobile layout. [17:10] You can have your first sample done [17:12] this week. [17:13] What about the competition? [17:14] Well, there are already lots of people [17:16] building websites and AI has made it [17:19] easier for everyone, [17:20] but most of them just make something [17:21] that looks nice. [17:22] If you focus on sites that get [17:24] customers to call or book, [17:25] you'll stand out. [17:26] The downside is that it's crowded [17:28] and like the other service ideas, [17:30] it's mostly one-off jobs, [17:32] unless you build them up into a [17:34] monthly client. [17:34] For that reason, I'm gonna put this [17:37] one in the B... [17:39] C... [17:40] Do you know what? [17:41] It's a hard one. [17:42] I'm gonna break the rules a little bit. [17:44] I'm gonna put it between the two. [17:46] Right, back over to you, E-Man. [17:52] ♪♪♪ This next one is all about getting [17:54] paid to make the ads that brands run [17:56] on TikTok and Instagram without [17:58] needing a camera or being an influencer. [18:01] You see, before any of this, [18:02] I actually ran a marketing agency [18:03] and back then, if a client wanted new [18:06] ads, it was this whole operation. [18:08] You needed designers, [18:09] copywriters, and video editors. [18:11] And for UGC ads, which are the ones [18:13] where someone unboxes and uses a [18:16] product, you had to ship products to [18:18] creators, you had to wait for them to [18:19] film, and only then could you turn [18:22] that footage into ads. [18:23] It was slow, it was expensive, [18:25] and every new ad costed you time [18:28] and money before you even knew whether [18:30] it would work. [18:30] But you probably didn't realize [18:32] that today, you can create more than [18:33] 10 variations in one afternoon from [18:36] your laptop for a fraction of the cost. [18:38] So, here's exactly how you do it. [18:41] Step one is you're gonna pick an AI ad [18:43] creation tool. [18:44] There are loads of them out there. [18:45] Now, for this demo, [18:46] I'm gonna use Hixfield, [18:46] but to be honest, the same steps apply [18:48] for most of the other tools. [18:50] Step two is just upload all the data [18:51] that it needs. [18:52] I need to upload an image of an [18:54] avatar, then some images of the products. [18:57] We have this lip plumper I found [18:58] earlier, so let's use that. [19:00] Step three is just describe what we [19:01] want her to do. [19:02] The woman sits on her bed, [19:04] holds the product to the camera, [19:06] and looks a bit excited. [19:08] She opens it, applies it [19:10] while talking, and then gives it a [19:12] thumbs up. [19:12] And then for the actual words, [19:14] something like, so everyone kept [19:15] asking me what I was wearing on my [19:17] lips, so here it is. [19:18] This is the one, it's my everyday [19:20] go-to now. [19:20] Super easy to put on, [19:22] and I've had so many compliments. [19:23] Link below if you wanna try it. [19:25] Now, let's click generate. [19:29] Everyone kept asking what I'm wearing [19:30] on my lips, so here it is. [19:32] It's this little plumper I literally [19:34] carry everywhere now, [19:35] so easy to just click and swipe on. [19:39] It's my everyday go-to, [19:41] super easy, and I've had so many [19:43] compliments, it's kind of funny. [19:45] Links below if you wanna try it. [19:46] Look, there we have it. [19:47] I would say that this has turned out [19:49] pretty nicely. [19:50] Now, if I was doing this for real, [19:51] I would then take this video, [19:53] I would send it to the brand, [19:54] and see if they wanna pay me to make more. [19:56] And you wouldn't post the first [19:58] version without checking it. [19:59] Of course, you look. [20:00] the product, the claims, [20:01] and the branding, and really make sure [20:03] that it all makes sense. [20:04] It's the same value-first approach as [20:06] Mark's website revamp idea. [20:08] So, how much can you make? [20:09] Well, this is where it gets serious, [20:11] because brands pay real UGC creators [20:13] somewhere between $100 USD to $600 USD [20:15] or more for a single video, [20:18] depending on the creator and the usage rights. [20:21] Package that as a monthly retainer for [20:23] a set number of ads, [20:24] and you could charge a few $1,000 USD [20:26] a month per client. [20:27] But how quickly can you start? [20:29] Look, as you've seen, [20:30] making a nice-looking ad is fast [20:32] and easy, but making an ad [20:34] that sells is a different skill, [20:36] because you have to learn hooks, [20:38] angles, and what makes people stop scrolling. [20:41] So, how competitive is it? [20:42] Well, this is actually the most [20:43] crowded idea that I've brought to the [20:45] table today. [20:46] AI ads are getting a lot of attention, [20:48] and more people are offering them. [20:50] The market is huge, so there's still [20:52] room, but you're walking into a busy room. [20:55] Now, that doesn't make it a bad idea. [20:56] Out of everything on this board, [20:58] it has the biggest earning potential. [21:00] The demand never stops [21:02] because brands always need new ads [21:04] every week, and it pays monthly. [21:06] But it's only A-tier if you're willing [21:08] to learn how ads actually work. [21:10] If you just want to start this week [21:12] with no experience, [21:13] it's a tougher road. [21:14] So, I'm going to go ahead [21:15] and put it into A-tier for potential, [21:18] with that big warning attached next to it. [21:21] Okay, let's see what Mark has for us now. [21:27] This is all about getting paid to use [21:29] AI to answer a business's customers' [21:32] questions for them. [21:33] So, nobody on their team has to type [21:35] the same reply for the hundredth time. [21:37] You see, most businesses get the same [21:39] questions over and over again. [21:42] Where's my order? [21:43] What's your returns policy? [21:44] Are you open on Sunday? [21:46] And someone has to answer every single [21:48] one, usually while trying to run the [21:50] rest of the business. [21:51] Now, you might be thinking, [21:53] why wouldn't they just add an AI [21:55] chatbot themselves? [21:56] Well, I know from experience [21:58] that a chatbot dumped on a website [22:00] with no training gives the wrong [22:02] answers, which is worse than having no [22:04] chatbot at all. [22:06] Setting it up properly with the right [22:07] information, the right tone, [22:09] and knowing when to pass a customer to [22:11] a human is what businesses will pay [22:13] you for. [22:14] So, here's exactly how I do it. [22:16] Step one, pick an AI support tool. [22:18] Now, there are loads of them out [22:20] there, such as TDO or Chatbase. [22:22] They all work in a similar way. [22:24] So, try a few and see which one suits [22:26] the type of business you want to work with. [22:28] For this demo, I'll use Chatbase, [22:30] but the same steps apply to the others. [22:33] Step two is to feed it everything you [22:36] know about the business. [22:37] Let's use this one for a quick demo. [22:39] Now, I'm going to paste their website [22:42] in here so that it can read the pages. [22:45] Of course, the more information you [22:47] give it, the better the answers. [22:48] So, feel free to download their [22:50] frequently asked questions [22:51] and returns policy. [22:53] I'm just doing the website address for [22:54] the sake of speed. [22:56] Step three, set the rules [22:58] and test it. [22:59] I'm just going to type something like, [23:02] you are a customer support assistant. [23:08] Keep the answers short and friendly. [23:12] Only answer using the information provided. [23:16] Now, that's important. [23:17] And if you don't know, [23:20] say so and offer to pass the customer [23:23] to a human. [23:25] Now, for the most important part, [23:27] the testing. [23:28] That's the bit most people skip. [23:30] So, I'm going to ask, [23:32] what's your return policy? [23:37] Okay, nice. [23:38] Well, that lines up exactly with the [23:41] business's actual policy. [23:42] Of course, you should take some time [23:44] asking as many questions as you can [23:46] and double checking the answers. [23:48] Because if the bot makes up an answer, [23:50] that's how businesses end up in trouble. [23:53] So, how much can you make? [23:55] Well, most people charge a one-off [23:57] setup fee plus a monthly fee to keep [23:59] it updated. [24:00] How quickly can you start? [24:02] Well most of these tools set up in an [24:05] afternoon and there's no coding [24:06] involved, so what you're really [24:08] mastering is how to write good [24:10] instructions and test the bot properly. [24:12] Now for the competition, [24:14] I'd say this is medium to high. [24:16] Chatbots are everywhere now [24:17] and businesses can sign up to these [24:19] tools themselves, but a lot of the [24:21] ones you see are set up badly to be honest. [24:24] If you focus on getting the answers [24:26] right, adding guardrails and keeping [24:28] it updated, you'll definitely stand out. [24:30] The downside is that the tools are [24:32] easy for businesses to buy themselves [24:34] and if the bot gets something wrong, [24:36] the blame lands on you. [24:38] For that reason, I'm going to put this [24:40] in the B tier. [24:42] Right E-man, come on in, [24:44] let's talk about the last one together. [24:49] This idea is the one E-man [24:52] and I both agreed is the biggest [24:54] opportunity right now and it's exactly [24:56] what we've been saving the S tier spot for. [24:58] That's right, we both asked ourselves [25:00] if we had to start again from zero [25:03] today with everything that we know [25:05] about AI, what's the single best way [25:07] that we would choose to make money? [25:09] And we actually landed on the exact [25:11] same answer and as Mark said, [25:13] it beats everything else on this board. [25:15] So you're probably thinking, [25:17] why haven't we told you what it is? [25:19] I'll be completely honest with you, [25:21] cramming it into five minutes at the [25:25] idea, get excited, try it [25:27] half-heartedly for a weekend, [25:29] do it wrong and quit. [25:30] Exactly like most people do with every [25:32] idea we've talked about today. [25:34] This one deserves better than [25:36] that and quite frankly, [25:37] so do you. [25:38] That's why we've decided to show you [25:40] how to do it properly. [25:41] Exactly, so November 7th we are [25:44] hosting a completely free five-day [25:46] event called the AI Income Challenge [25:48] and we're not just going to reveal [25:50] this idea, we're going to build it out [25:52] with you one day at a time. [25:54] A real step-by-step plan [25:56] that you can actually follow along in [25:58] real time. [25:59] So here's what to do right now before [26:01] you click off this video. [26:02] Go to the link in the description, [26:04] save your free seat for the AI Income [26:05] Challenge starting November 7th. [26:08] So if you want to be there live [26:09] when we reveal it, [26:10] make sure to save your spot with the [26:12] link in the description and [26:13] if you want to keep growing your [26:14] wealth in the meantime, [26:15] I'm going to leave another video right [26:17] up there but don't click on it just yet. [26:19] Make sure to subscribe if you want to [26:21] grow your wealth. [26:22] Okay, I'll see you over there.