Session overview
From expertise plus AI to precision marketing
In this session, I walk you through the actual tools and strategy I use as a marketing consultant to design and execute go-to-market programs. You will see how I move from market definition, to value propositions, to concrete campaigns that generate leads and deals, using AI as a real "engine" rather than a gimmick.
I connect the dots between my AI toolbox, the frameworks I rely on (Jobs-to-Be-Done, value mapping, pain segmentation), and the real workflows that turn all this into pipeline. The goal is simple: show you how to combine human expertise and AI so that you can do more, with more precision, in less time.
- Map jobs to be done and pain clusters before you write copy.
- Use AI for research, list building, and content at scale.
- Feed everything into a CRM centric funnel and track impact.
Market definition
Market definition vs "what's happening in my industry?"
Most marketers start with the wrong questions: "What is happening in my industry?", "What are the big trends this year?", "Who are the major vendors?" Those are analyst questions. They give you a landscape, not a market definition. When you want to build a real lead generation machine, you need to define your market in terms of jobs to be done, pains that actually hurt, and segments where those pains are intense enough to drive action.
In practice, that means starting from the buyer's daily reality, not a category label; mapping specific pain patterns, not generic persona bios; identifying pockets of high urgency where a narrowly defined offer will resonate. AI helps here by processing large amounts of material quickly, but it still needs a sharp question. My prompts focus on jobs, pains, and impact, then force the model to cluster segments by intensity instead of demographics.
Tooling
My AI stack organized by strategic purpose
My AI toolbox follows a strategic framework: jobs first, tools second. Each tool serves a specific purpose in the marketing lifecycle, ensuring that technology supports clear business objectives rather than the other way around.
For research
Understanding markets, competitors, and buyer behavior before taking action.
Advanced reasoning and content-generation engine for research, writing, and marketing workflows. Day to day, ChatGPT is my closest colleague for brainstorming, stress-testing ideas, and outsourcing structured project work.
AI-powered coding environment that accelerates software development with inline suggestions and automated refactoring. Essential for building and maintaining marketing technology stacks.
Google's research notebook that analyzes your documents and produces summaries, insights, and briefs. Transform documents into interactive knowledge bases for comprehensive market analysis.
Deep research runs that map competitors, categories, and buying triggers with AI-powered search and synthesis.
For segmentation
Identifying high-value customer segments and crafting messages that resonate with their specific pain points.
Custom app built on the Value Mapping framework and jobs to be done to generate segment specific value propositions and a prospect universe.
Structured prompts and frameworks for identifying customer jobs, pain points, and emotional drivers that motivate purchasing decisions. These go beyond demographics to uncover what customers are actually trying to accomplish.
For prospecting
Finding and qualifying leads at scale while maintaining the personal touch that drives conversions.
Automation platform for scraping data and running sequences across LinkedIn and other web platforms. Scrape LinkedIn events, automate invitations, and push enriched leads to CRM.
AI voice interface tool that turns spoken input into precise text and actions across workflows and apps. Streamline prospecting conversations and note-taking.
CRM and marketing automation platform that manages contacts, campaigns, reporting, and sales activation. Central place to track contacts, deals, scoring, and the full marketing funnel.
B2B sales intelligence and outreach tool for prospecting, sequencing, and data enrichment. Enrich lists, validate emails, and segment accounts by firmographic data.
For content
Creating professional content assets that scale while maintaining quality and brand consistency.
All-in-one audio and video editing tool that uses AI for transcription, overdub, and rapid content production. Clean transcripts, remove filler, and cut video or audio as easily as editing text.
AI meeting assistant that captures conversations and produces clean notes, summaries, and action items. Transform meetings into structured content and actionable insights.
AI engine that converts any text into polished audio briefings and ready-to-publish scripts. Transform written content into professional audio assets instantly.
AI voice and audio generation platform for lifelike narration, character voices, and multilingual content. Create professional voiceovers and audio content at scale.
AI music generator that produces fully arranged songs from simple text prompts. Generate background music, podcast themes, and sonic branding instantly.
AI video creation platform that generates presenter-led videos using avatars and typed scripts. Record personalized AI videos at scale for outbound and onboarding flows.
AI presentation platform that auto-designs slides with clean layouts and consistent visual logic. Transform ideas into professional presentations instantly.
For workflows
Automating the connections between systems to create repeatable, scalable marketing operations.
Automation tool for building workflows that connect apps and trigger actions without coding. Connect forms, events, CRM, and AI services into repeatable no-code workflows.
AI analytics and insight platform that transforms complex datasets into clear narrative reports. Turn data into actionable marketing insights and reports.
Prompt library
Framework prompts you can reuse
Understanding the market, your competition, and how other tools position themselves is essential to writing relevant marketing content. You need to see how others describe the problem, what promises they make, and what they leave out. Doing that kind of deep search manually is slow and error-prone. This is one of the places where ChatGPT shines, especially when you ask it to write the research prompts for you first.
Increasingly, I brief ChatGPT to act as a competitive intelligence analyst and to design its own search strategy before it returns any conclusions. The flow looks like this: Ask ChatGPT to propose a research plan for a specific question, approve or refine the plan, let the model execute it step by step, then turn the output into visual summaries. Instead of surfing for hours and copy-pasting into a document, you get a repeatable research engine that respects constraints and gives you structured, reusable insight.
Use these prompts as starting points. Replace bracketed sections with your own product, audience, or channel.
Universal prompt structure
Use this to brief any AI model with clarity.CONTEXT: [Explain what we are trying to do and for whom.]
ROLE: [Specify the expertise or persona the AI should adopt.]
GOAL: [State the concrete end result you want.]
CONSTRAINTS:
- [Word limits]
- [Tone rules]
- [Banned phrases or assumptions]
INPUTS:
- [Key facts or data the model must use]
- [Links, bullets, transcripts, or notes]
- [What it is allowed or not allowed to invent]
PROCESS:
1) [How you want the model to think.]
2) [What to analyze or compare.]
3) [How to build the final answer.]
OUTPUT FORMAT:
[Specify exact structure - for example 5 bullets, a 3 part email, a table, or a 1 page outline.]Job to be done discovery
Clarify why buyers actually hire your product."Here is my product:
[Paste a short description of your actual product.]
You are an experienced B2B marketer and market analyst.
Your task is to clearly define the core job to be done
that motivates users to adopt this tool or service.
Focus only on:
- The user's desired business outcome
- The pain they are trying to avoid
- The impact on revenue, risk, or efficiency
Do not describe product features or solutions.
Describe each job in the user's own voice, in language that
reflects urgency, risk, or frustration.
Deliver 4 to 6 variants of the job, each phrased from the
user's perspective in one short sentence."Pain intensity clusters
Turn vague personas into high intent segments."Using the jobs to be done we just defined, identify 8 to 10
user groups who experience this job most intensely.
For each group, describe:
- The specific pain they feel in day to day work
- How frequently the pain shows up
- The operational or financial consequences of not solving it
Return your answer as a table with columns:
[Segment name] - [Daily reality] - [Pain pattern] - [Business impact]."Deep search prompt - AI text to audio tools
Example used for the VoiceStream market study."You are an AI powered competitive intelligence analyst.
Your task is to run a comprehensive market study on software
tools released within the last two years that allow B2B
marketing directors to:
- Convert written text into audio content
- Generate AI narrated podcast style episodes
- Produce short audio briefings from blogs or newsletters
- Automate or streamline text to audio workflows
Only include tools that cost 50 dollars per month or less.
Model your output as a Value Mapping Competitive Analysis
Report for the product [Your product name and description].
Structure the report in four parts:
1) Competitor list and pricing
2) Target segments and core jobs to be done
3) Differentiating features, strengths, and gaps
4) Positioning recommendations for [Your product]."Nytro marketing
The Nytro Value Proposition Engine
The Value Proposition Engine turns a short product description into a full value mapping report: customer jobs, pains, gains, buying triggers, and a LinkedIn ready prospect universe.
Execution
Events, LinkedIn, and lead generation
Events are one of the most underused and under-analyzed sources of high-intent leads. When an event is hosted on LinkedIn, you can see who has registered or attended. Many of these attendees are clearly interested in the problem space of the event topic, which makes them a natural audience for similar solutions.
In my workflow, I use LinkedIn attendee lists as a starting point, not an endpoint: export or scrape the event attendees, enrich them using tools like PhantomBuster and Apollo.io, push the enriched contacts into a CRM like HubSpot, tag them by event theme, industry, and job to be done. Physical events are equally powerful. One of the "hacks" I show uses Make.com combined with Gemini to process photos of badges collected at an event, extract names and companies, and automatically build a structured lead list. The principle is simple: every event, physical or virtual, should become both a lead source and a content source. AI helps you unlock both.
LinkedIn Live as a content engine
Most startups struggle with content. They know they need awareness and credibility, but they do not have the time or resources to maintain a polished blog, podcast, and webinar series in parallel. One of the most efficient ways to solve this is to run regular LinkedIn Live sessions. A single live event delivers a list of attendees you can nurture and creates a rich recording that can be chopped into multiple assets.
With AI tools in the loop, you can turn each live session into a transcript cleaned and edited for clarity, a blog post or article structured around the key insights, short clips for social media, and an audio briefing or podcast episode. Instead of asking "What should we post this week?", you build a repeatable rhythm: host an event, process it with AI, publish derivatives, feed the CRM.
Editing, post-production, and Descript
Descript has been a game changer in my podcast and video editing workflow. Instead of cutting on a timeline, you edit audio and video the same way you edit a Word document: copy, paste, move, and delete text. The media follows the text edits. AI layers on top of this with automatic transcription of your recordings, automatic removal of filler words and hesitations, one-click generation of short clips and highlights, and script export you can reuse in newsletters and LinkedIn posts.
This means a one-hour webinar or LinkedIn Live is no longer a one-off event. It becomes a content reservoir you can systematically mine with AI-assisted tools.
From research to high-impact emails
The final step in the workflow is execution. All the research on jobs to be done, pains, and segments is only useful if it shows up in what prospects actually receive from you. In my process, the output from the research phase is pasted directly into a structured email-writing prompt. That prompt forces the model to use the jobs and pains we have identified, in the buyer's own language, respect tight constraints on length and structure, and avoid vague, generic claims while focusing on outcomes.
The result is a short, extremely focused email that adheres to the brief and speaks clearly to a specific pain, for a specific segment, with a specific call to action. I show an example of such an email that follows the prompt exactly and can be sent with minimal editing.