How to do product positioning - the tech and AI stack you will need. Part 2
We cover market analysis sources, AI tools to use and proven effective prompts
Happy Friday, all.
It’s been a while! I have gone silent, as was head down preparing AI in marketing bootcamp which we ran about 2 weeks ago. It turned out to be a real contender for Best course on AI out there. (honestly, my proudest moment of 2025!)
People said ”It was the best course I have ever attended”, so I will keep the intrigue and share this in a separate Substack.
Let’s get back to the topic of today though. How to do product positioning with AI or to say it better - how to speed up product positioning work with competitor research.
As you might remember from my product positioning workbook here to do product positioning very well you need few key things lined up.
In a nutshell, to start you need 3 key things:
Analyze the market and see demand signals
Analyse the competitors
Do customer research.
For the first one - go ahead and read the chapter 1 one of this guide. This guide already got someone through an interview process two weeks ago: as a product marketeer she used the guide to do the “take home task” and nailed it.
So fair to say - worth a read ;)
Chapter 2. Competitor research
Interestingly enough, about 5 out of 10 early stage founders I work with say that there are no analogues or competitors to their product. And I usually ask to think about it again.
The truth is that there is always a competitor. For example, one can say there is no competitor to online shopping on Amazon, as it’s the only one which has such a diverse set of goods. The competitors of this service are set of stores: physical and online, so the customer is choosing: Do I shop all things on Amazon now or do I go to Tesco for food, then M&S for home goods and Waterstones for books.
You got my point.
Problem with competitor research is that it’s a something we have to do, but the process is super long and sadly for most people manual. But it does not have to be.
Example
Here is how detailed competitor report usually looks like. This is a real client we have worked with at growglobal.tech - Picsart*.
After doing this for many years manually, of course I started scratching my head about how to do this faster and testing many different tools.
Websites, Reports + AI tools to speed things up
Let’s start from basics. AI tools like ChatGPT, Aomni, or Perplexity.ai can help with a large number of use cases like extraction of pain points from interview transcripts, sentiment analysis of interviews, creating SWOT analysis, scraping G2 reviews to finding competitor whitespaces, discovering customer journeys and jobs-to-be-done or assess market opportunities.
But there are also specialized tools, which do a lot more than that. With Generative AI latest developments since 2022 market has bloomed with so many new tools. How to approach them and what to use? Let’s break down the competitor analysis to specific subtasks.
But before we go there… if you like the content so far, please share my substack, so we can reach more marketers, researchers, founders and product managers.
Some prompts examples and ideas for Chat GPT, Gemini and Perplexity
Prompt 1 - JBTDs
You are a product marketing strategist. Your goal is to uncover the different Jobs-To-Be-Done (JTBD) that customers in the [INSERT MARKET SEGMENT or COMPANY NAME] are hiring products or services to accomplish.Please analyze this segment or company deeply and produce the following structured output:
JTBD List
A list of 5–10 specific Jobs-To-Be-Done that customers are trying to achieve in this segment or when considering alternatives to [Company Name].Detailed Description for Each JTBD
For each JTBD:What this job means in the context of their daily life or workflow
Emotional, functional, and social drivers behind it
Triggers that make this job urgent
Customer Behaviour, Needs & Wants
For each JTBD, describe:Typical customer behaviour (how they research, decide, act)
Key unmet needs and pain points
What customers are looking for (explicit and implicit expectations)
Competitive Examples
For each JTBD:List current tools, solutions, or workarounds customers use to get the job done
Why customers choose them
Why customers leave or switch from them
Prompt 2 - Competitor Table
You're an an expert market researcher of [add industry & market segment]. Give acomparison table with the top 6 competitors for this player: [add website]. Your table must include feature differentiators, intangible differentiators, target industry, target segment, and entry-level pricing.
Prompt 3 - Competitive Solutions from the website
Use the information or the website I will provide you below to create a table
with the top 10 competitive solutions of the product/idea described. For each
competitive solution, include the next rows: - Name - Value Proposition
Target segment - Differentiators - Strengths - Weaknesses - URL
Prompt 4 - overall market segment analysis > come up with list of solutions
You have 20 years of experience in the [add industry],
I seek your expertise to become a top-tier solution expert in this field.
Your knowledge should encompass the latest market trends, innovations,
industry challenges, and key players. Your initial assignment is to create a
comprehensive table of the top 10 competitors in this space. For each
competitor, you will provide information on their value proposition, primary
target industry, intangible differentiators, primary target company size,
product feature differentiators, and company URL.
Prompt 5 (bonus point)
It’s important also to understand the difference between the segment and the trend. For example, AI tool is not a segment, AI is a tech layer you use on existing “software segments. This is how I would visualize it for marketing tech. You can ask to create this for the industry you are in using the following prompt.
You are an expert market analyst and a visual designer. Based on the given theme (below), perform two tasks:
Market Analysis Task:
Identify and group key markets (solution categories, industries, technology clusters) into logical clusters.
Identify major trends impacting these markets (such as new technologies, business model shifts, user behavior changes).
Output two separate lists:
Markets Cluster (categories + subcategories if needed)
Trends Cluster (major trends)
Visualization Task:
Create a simple, clean bubble chart with two colored clusters:
Markets Cluster (one color, e.g., blue)
Trends Cluster (another color, e.g., green)
Place related bubbles around their cluster.
Bubbles should have readable labels (max 4 words), bold font, white background, clean look.
Position clusters side by side.
Add cluster titles ("Markets" and "Trends") below.
Use minimalistic design, no icons, focus on clarity.
Theme: [Insert your theme here, e.g., "Martech Software", "Fintech Solutions", "AI for Healthcare", "Future of Remote Work"]
Format output:
Step 1: List Markets Clusters and Trends Clusters.
Step 2: Show Bubble Chart Visualization based on the lists.
Coming next
Shortly I will be publishing Chapter 3 - Product positioning with AI - this will the concluding chapter and cover all things customer research.
PS.
You can also always reach out to me at tata@growglobal.tech or give me a follow on Linkedin to discuss your ideas, projects or if you’d like to participate in my AI in marketing bootcamp.