How to Build an AI Agent for Market Research with a Real Browser
The article discusses how to effectively build an AI agent for market research using a real browser. It emphasizes the importance of collecting raw market evidence rather than relying on generic AI responses. A practical workflow is provided, highlighting the need for specific research questions and diverse source categories.
- ▪Most AI market research begins too late, leading to stale and generic answers.
- ▪A better approach involves sending the AI agent to read the market using a browser to collect evidence.
- ▪The article outlines a workflow that includes defining narrow research questions and utilizing various source types for data collection.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3895802) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Eli Posted on Apr 28 How to Build an AI Agent for Market Research with a Real Browser #agents #ai #automation #tutorial Most AI market research starts too late. A founder, marketer, or product manager opens a blank chat box and asks: Analyze this market. Tell me the customer pain points. Find competitors. Suggest positioning. The model can produce a polished answer.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV Community.
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