Course details
Lectures
35
Level
Beginner
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Who Does This Work For?
This course is designed for CEO, Executives, Business Owners, Sales and Marketing and Operations who work in B2B and want to understand how AI is deployed in a B2B Company.
What Is Inside?
This course includes 'Lead Generation & Sales Acceleration', 'AI Tools & Tech Stack Recommendations', 'Step-by-Step Implementation SOPs', 'Proven GTM & ABM Frameworks' and 'Strategic Integration'.
What Will The End Result Be?
By the end of this course, you will have the tools, templates, and confidence to start using AI in your B2B business — to generate leads, automate key processes, and drive faster growth, even if you're starting with no prior AI experience.
Do you want to be able to under how AI works in a B2B company in one day?
AI Lead Generation
- AI-powered Lead Scoring & ICP Targeting
- Causal Predictive Sales Optimization
- Explainable AI in Account Prioritization
- AI-driven Outreach & Personalization
- Conversational AI for Sales Enablement
- Performance Analytics with AI Feedback Loops
AI Marketing
- Answer Engine Optimization (AEO) / AI-First SEO
- AI Keyword Strategy Using Voice-of-Customer Data
- AI-Optimized Content Formats for LLM Discovery
- Programmatic & Bottom-of-Funnel SEO at Scale
- AI Editorial Calendars & Prompt-Based Ideation
AI Content Marketing
- Generative Content Creation Tools
- Use Cases & Thought Leadership Content
- Brand-Aligned AI Writing Assistants
- AI in Demand Generation Copywriting
- Optimizing Formats for AI Snippets
AI : GTM & ABM
- ICP Modeling & Targeting with AI
- AI-Powered Audience Research & Social Listening
- AI for ABM List Building & Outreach
- Experimentation-Led GTM Strategy
- Competitive Ad Strategy with Multimodal AI
- Predictive Account Expansion & Renewal Strategies
AI Project Delivery
- AI Workflow Automation (Ops & Delivery)
- Enterprise AIO for Knowledge & Documentation
- Generative Templates for Proposals & Contracts
- AI in Transcription & Content Repurposing
- Automating Creative Assets
- Performance Monitoring & Continuous Improvement
Strategic Integration
- AI Tool Landscape for B2B
- Real-World AI Sales Impact
- Ethics & Hallucination Risk Management
- Building Credibility for AI-Aided Businesses
Wanted to get a general understanding of how AI can be deployed in a B2B company. Did this over a day and am using the SOPs to help us get our company AI ready. It is a good starting point and gets you to a decent level.
Jason
Op Director
Needed to get an overview of how AI works in a B2B company from a marketing and sale perspective. We are now able to roll out our AI systems using the worksheets etc that are in this. It is very good value for money. The other courses of this calibre cost over $5k.
Kirsty
CMO
I have zero tech skills and was way out of my depth in meetings which were AI based. I did this over a weekend and can now talk to devs, staff etc about AI and I don't look or sound like fool! I also like the price as most AI courses are very expensive!
Isaac
CEO
Questions And Answers:
Yes if you need anything I am available via email most of the time and at weekends. I want you to succeed so I am willing to be your co-pilot!
Yes the only cost is the course fee. There are no upsells etc.
This course will work with ‘free’ version of various platforms.
This starts at the absolute beginning and works up so it really doesn’t matter what level you are to start with.
This course comes in at under 3 hours.
Yes you will get a business invoice which you can use to write off against any tax bill you may have!
You have life time access and get any updates to the template you buy for free.
Part 1: AI for Lead Generation & Sales
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1
1.1 : AI-powered Lead Scoring & ICP TargetingAI-powered Lead Scoring & ICP Targeting – using AI to prioritize accounts likely to convert.
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2
1.2 : Causal Predictive Sales Optimization
Causal Predictive Sales Optimization – applying models like LinkedIn's causal‑predictive optimization framework (prediction → optimization → generative action).
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3
1.3 : Explainable AI in Account Prioritization
Explainable AI in Account Prioritization – intelligent engines that identify high-opportunity accounts (e.g., LinkedIn’s +8% renewal uplift).
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4
1.4 : AI-driven Outreach & Personalization
AI-driven Outreach & Personalization – hyper-personalizing communication using templates and RAG systems.
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5
1.5 : Conversational AI for Sales Enablement
Conversational AI for Sales Enablement – chatbots and LLM agents for early-stage qualification and hand-off.
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6
1.6 : Designing Chat Bot Conversations
How to design your AI conversational flow.
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7
1.7 : Voice Flow Agent Set Up
Step by step how to set up 'Voice Flow' agents. Please check the class notes for all the prompts and knowledge base documents which I use.
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8
1.8 : Decision Tree Flow To Make.com
How to create decision tree flows, store and manipulate variables and then send them to other platforms using Make.com
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9
1.9 : Clay.com For Lead Generation
Step by step walk through on Clay.com showing you how to set up your automated lead generation system.
Part 2: AI-Enhanced Marketing & SEO
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10
2.1 : Answer Engine Optimization (AEO) / AI-First SEO
Answer Engine Optimization (AEO) / AI-First SEO – structuring content for LLM/AI search visibility (schema, token efficiency, embedding relevance).
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11
2.2 : AI Keyword Strategy Using Voice-of-Customer Data
AI Keyword Strategy Using Voice-of-Customer Data – shift from volume‑based SEO to intent-led content driven by real customer language.
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12
2.3 : AI-Optimized Content Formats for LLM Discovery
AI-Optimized Content Formats for LLM Discovery – formats like comparison pages, use-case hubs, integration docs, thought-leadership articles with schema markup.
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13
2.4 : Programmatic & Bottom-of-Funnel SEO at Scale
Programmatic & Bottom-of-Funnel SEO at Scale – scalable SEO with AI for niche and high-converting topics.
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14
2.5 : AI Editorial Calendars & Prompt-Based Ideation
AI Editorial Calendars & Prompt-Based Ideation – using AI-generated topic planning and templates to maintain pipeline.
Part 3: AI for Content Marketing & Thought Leadership
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15
3.1 : Generative Content Creation Tools
Generative Content Creation Tools – using Jasper, ChatGPT, Surfer SEO, Demandbase AI tools for content automation and optimization
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16
3.2 : Use Cases & Thought Leadership Content
Use Cases & Thought Leadership Content – crafting “use‑case hubs” and syndicated thought-leadership posts to appeal to AI and human decision-makers.
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17
3.3 : Brand-Aligned AI Writing Assistants
Brand-Aligned AI Writing Assistants – building custom brand‑specific GPT models for style consistency.
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18
3.4 : AI in Demand Generation Copywriting
AI in Demand Generation Copywriting – prompt‑based or AI‑assisted high‑impact messaging and CTAs.
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19
3.5 : Optimizing Formats for AI Snippets
Optimizing Formats for AI Snippets – FAQ, How‑To content, structured data (schema) to improve AI citation and visibility.
Part 4: AI in Go-to-Market & Account-Based Marketing (ABM)
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20
4.1 : ICP Modeling & Targeting with AI
ICP Modeling & Targeting with AI – defining high-value accounts using data-driven segmentation.
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21
4.2 : AI-Powered Audience Research & Social Listening
AI-Powered Audience Research & Social Listening – deriving deep insights from AI analysis of forums, social, calls, transcripts.
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22
4.3 : AI for ABM List Building & Outreach
AI for ABM List Building & Outreach – automating customized ABM campaigns across channels.
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23
4.4 : Experimentation-Led GTM Strategy
Experimentation-Led GTM Strategy – using AI to design, test, and scale effective go‑to‑market experiments.
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24
4.5 : Competitive Ad Strategy with Multimodal AI
Competitive Ad Strategy with Multimodal AI – frameworks using retrieval-augmented multimodal targeting for hyperpersonalized B2B campaigns
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25
4.6 : Predictive Account Expansion & Renewal Strategies
Predictive Account Expansion & Renewal Strategies – identifying upsell or churn-risk accounts with AI insights.
Part 5: AI for Project Delivery & Operations Automation
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26
5.1 : AI Workflow Automation (Ops & Delivery)
AI Workflow Automation (Ops & Delivery) – applying RAG, task automation, and AI co-pilots to streamline projects.
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27
5.2 : Enterprise AIO for Knowledge & Documentation
Enterprise AIO for Knowledge & Documentation – structuring internal docs for AI-readability using schema, semantic clarity.
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28
5.3 : Generative Templates for Proposals & Contracts
Generative Templates for Proposals & Contracts – e.g., contract generation tools like Oneflow or WriteSonic.
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29
5.4 : AI in Transcription & Content Repurposing
AI in Transcription & Content Repurposing – tools like VoicePen and Podcastle to transform meetings or interviews into content assets.
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30
5.5 : Automating Creative Assets
Automating Creative Assets – using AI for branded visuals, music, multimedia support (Beatoven, DALL·E, etc.).
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31
5.6 : Performance Monitoring & Continuous Improvement
Performance Monitoring & Continuous Improvement – AI-driven feedback loops to optimize delivery, identify bottlenecks, and predict delays.
Part 6: Advanced Trends & Strategic Integration
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32
6.1 : AI Tool Landscape for B2B
AI Tool Landscape for B2B – overview of top tools (Demandbase, ChatGPT, Surfer SEO, Seamless.ai, Salesforce Einstein).
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33
6.2 : Real-World AI Sales Impact
Real-World AI Sales Impact – learning from cases like Missive where AI Search became a top inbound lead source.
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34
6.3 : Ethics & Hallucination Risk Management
Ethics & Hallucination Risk Management – responsible AI use in B2B marketing.
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35
6.4 : Building Credibility for AI-Aided Businesses
Building Credibility for AI-Aided Businesses – authentic thought leadership, linking expert voices, and E‑E‑A‑T principles for AI content.
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