Skip to main content

GPT and GenAI for Startup Storytelling

This article shows founders how to use GenAI tools like OpenAI and Gemini as practical growth levers rather than just curiosities. By priming the model with a clear introduction of yourself, your startup, your product and your market, you can generate sharper mission statements, refine buyer personas, craft USPs, create elevator pitches and even estimate market size through iterative prompting. The key advice is to treat GenAI like a collaborative strategist: feed it context, rephrase prompts when the answers miss the mark, and use each iteration to deepen clarity. Done well, this becomes a fast, low-cost way to validate messaging, explore positioning and improve sales and marketing outputs that would otherwise take days of manual work.

OpenAI and Gemini are the most used GenAI tools today; the first one has a massive Microsoft investment, and the other one is the one from Google. But did you know that you can also use them to optimize and hack your startup? 

For startups, creating pitch scripts, sales emails, and elevator pitches with generative AI (GenAI) can help you not only save time but also validate your marketing and wording. Curious? Here are a few prompt hacks for startups to create,improve, and validate buyer personas, your startup's mission/vision statements, and unique selling proposition (USP) definitions.

First Step: Introduce yourself and your startup

Introduce yourself, your startup, your website, your idea, your position, and in a few words what you are doing to the chatbot:

Prompt: I'm NAME and our startup NAME, with website URL, is doing WHATEVER. With PRODUCT NAME, we aim to change or disrupt INDUSTRY.

Bard is able to pull information from your website. I'm not sure if ChatGPT can do that, though. But nevertheless, now you have laid a great foundation for the model to understand you and what you are doing.

1. Create a Mission Statement

Prompt: Our current mission/vision is: YOUR VISION / MISSION. Help me enhance it by making it clearer, and more inspiring.

If you don't have a mission yet, use this prompt

I think about a compelling mission and vision statement, help me draft some.

2. Buyers persona

PromptHelp me create a buyer persona for my product PRODUCT NAME that we should approach; this persona needs to have the power to buy products for $500k with one check.

Prompt: Help me create a buyer-supporting persona for PRODUCT NAME we should approach. Those who are primarily INDUSTRY AREA and are familiar with WHAT YOU WANT TO DISRUPT and related activities.

3. USP

Prompt: We are developing a product called PRODUCT NAME. It is a PRODUCT IDEA that offers WHATEVER YOU PROVIDE. I need you to assist me in crafting a compelling and concise description that highlights its unique selling proposition.

4. Elevator Pitch

Prompt: Help me draft a convincing elevator pitch for PRODUCT NAME with a professional (or convincing) tone.

5. Market size, SOM and SAM

PromptHow big is the market size for PRODUCT DESCRIPTION / PRODUCT NAME, and what could be our serviceable and obtainable market size for the COUNTRY or region?

This is quite an interesting prompt; the first answer will never match; you have to improve the answer by defining more parameters. As an example: 

I wanted to know how big the market size for our product is; we target the US Educational market.

To wrap it up

Now, I think you've got it. Also note that when you start to chat with one of the tools, they mostly know nothing about you, the company, or anything else. That means introducing, explaining, and improving the answers, like:

That was not what I wanted to know, let me rephrase. 

Now rephrase your question: that triggers some kind of reinforcement learning, and the AI might be able to pull more and better information. Every rephrase and piece of information helps nail down the best response for you. I hope that helps a bit in improving your sales and marketing efforts for your startup.

If you need help with distributed systems, backend engineering, or data platforms, check my Services.

Most read articles

Why Is Customer Obsession Disappearing?

Many companies trade real customer-obsession for automated, low-empathy support. Through examples from Coinbase, PayPal, GO Telecommunications and AT&T, this article shows how reliance on AI chatbots, outsourced call centers, and KPI-driven workflows erodes trust, NPS and customer retention. It argues that human-centric support—treating support as strategic investment instead of cost—is still a core growth engine in competitive markets. It's wild that even with all the cool tech we've got these days, like AI solving complex equations and doing business across time zones in a flash, so many companies are still struggling with the basics: taking care of their customers. The drama around Coinbase's customer support is a prime example of even tech giants messing up. And it's not just Coinbase — it's a big-picture issue for the whole industry. At some point, the idea of "customer obsession" got replaced with "customer automation," and no...

What the Heck is Superposition and Entanglement?

This post is about superposition and interference in simple, intuitive terms. It describes how quantum states combine, how probability amplitudes add, and why interference patterns appear in systems such as electrons, photons and waves. The goal is to give a clear, non mathematical understanding of how quantum behavior emerges from the rules of wave functions and measurement. If you’ve ever heard the words superposition or entanglement thrown around in conversations about quantum physics, you may have nodded politely while your brain quietly filed them away in the "too confusing to deal with" folder.  These aren't just theoretical quirks; they're the foundation of mind-bending tech like Google's latest quantum chip, the Willow with its 105 qubits. Superposition challenges our understanding of reality, suggesting that particles don't have definite states until observed. This principle is crucial in quantum technologies, enabling phenomena like quantum comp...

SynthLink Compared to Google’s Natural Questions: A Practical Evaluation

SynthLink evaluates reasoning, synthesis and internal consistency across diverse question types. Google’s Natural Questions evaluates extractive QA: finding short text spans inside structured documents. Because real workloads require interpretation, abstraction and multi-step logic, SynthLink exposes capabilities and failure modes that NQ cannot measure. The two benchmarks are complementary, but SynthLink is more aligned with production tasks. Benchmarks such as Google’s Natural Questions (NQ) dominate model evaluation. They provide a reliable, academically stable test for extractive question answering: short queries, grounded answers, and constrained context ranges. But real workloads rarely look like NQ. Production systems must handle ambiguous inputs, multi-step reasoning, poorly structured prompts, and cases where no canonical answer exists. SynthLink was designed for this broader landscape. It focuses on evaluating reasoning, synthesis and internal consistency rather than snippe...