AI Masterclass: Market research in niches with AI – example: "Sustainable construction"

1️⃣ Getting started: The real problem

You want to recognize trends in the sustainable construction niche, validate new business ideas or identify potential partners.

But:

• Your team spends hours searching through PDFs, studies and news articles.
• Results are fragmented, unstructured and expensive.
• Decisions are often based on gut feeling instead of reliable data.

2️⃣ Why the problem remains

• Tool overload: Many tools, no clear structure.
• Fragmented data: Trends, social media, startups scattered.
• Lack of AI strategy: AI is often only used for simple analyses, not for a targeted market overview.

Without a structured AI-supported method, insights remain incomplete.

3️⃣ The concrete solution

We combine Google Gemini and ChatGPT for structured niche market research.

Framework: 3-step market scan

4️⃣ Practical example: Sustainable building

Before:

• Team reads reports and websites → Weeks of research
• Result: incomplete overview

With AI:

1. Use Google Gemini
   • Prompt:

Search current trends in sustainable building in Germany 2026.
Show:
- New materials
- Innovative building concepts
- Startups & companies
- Funding programs and political framework
- Relevant studies or reports

• Output: List of relevant articles, companies, startups, technologies, study links.

• • Prompt:

I have the following raw data on sustainable construction (from Google Gemini):
[Paste the copied data here]
Please:
- Categorize by technologies, startups, market potential and funding
- Create a clear table
- Summarize trends in a maximum of 5 bullet points
- Name possible business opportunities for a medium-sized construction company

1. • Output: Structured table, trend insights, recommendations for action.

After:

• Market overview in 2 hours instead of 2 weeks
• Identification of key technologies and potential partner start-ups
• Pilot projects can be planned immediately

5️⃣ Steps that can be implemented immediately

1. Define niche (e.g. sustainable building materials, energy-efficient construction).
2. Start Google Gemini → query relevant trends, studies, news.
3. Enter raw data in ChatGPT → structure, generate insights.
4. Validation → Check results with experts.
5. Select pilot area → e.g. test new material, identify partners.
6. Establish feedback loop → Update trend information regularly.

6️⃣ Strategic classification

Those who do not use AI for market research:

• recognizes trends too late
• misses opportunities
• has higher costs due to inefficient analyses

With AI you get:

• Real-time market overview
• Early identification of opportunities & risks
• Competitive advantage through data-based decisions

7️⃣ Usage process: Google Gemini vs. ChatGPT

Conclusion: Gemini provides raw material → ChatGPT transforms it into structured insights → quick, actionable market overview.

8️⃣ Concrete prompts - overview

Google Gemini Prompt:

Search current trends in sustainable building in Germany 2026.
Please show:
- New materials
- Innovative building concepts
- Startups & companies
- Funding programs and legal framework
- Relevant studies or reports
Sort by topicality.

ChatGPT Prompt for analysis:

I have the following raw data on sustainable building:

[Insert the data here]

Please:
 1. Categorize by technologies, startups, market potential and funding
 2. Create a clear table
 3. Summarize trends in a maximum of 5 bullet points
 4. Name possible business opportunities for a medium-sized construction company

🚀 Next step

If you not only want to understand AI, but also use it in a structured way in your company, then:

👉 Find out more about our AI training:
https://bloo.school

👉 Find out about our Smart Market Fit offers:
https://bloola.com/smf - The Smart Market Fit course
https://bloola.com/smf-system - The Smart Market Fit system for companies

👉 Or find out more about our consulting and automation solutions:
https://bloola.com