How to Conduct Market Research with AI and LLMs in 2026

Why AI is revolutionizing market research

Key advantages of using LLMs in market research

• Speed and scale:These models can process thousands of interviews, social media posts, and industry reports in just seconds.
• Analytical depth:Extract emerging trends, analyze sentiment, and identify customer segments with a single prompt.
• Multimodality:Combine audio, image, and video data for a comprehensive view of consumer behavior.
• Real-time updates:Leverage world models like Genie 4 to capture live conversations and market signals as they happen.

How to conduct market research with AI: a step-by-step guide

Step 1: Define your goal and gather raw data

Clarity of purpose is essential. Ask yourself:What decision do I need to support?

Step 2: Choose the right AI model

Evaluate models based on your specific needs:

• Genie 4
• Fern 0.1
• d3-ultra

Step 3: Write effective prompts for market research

A well-structured prompt guides the model toward the desired outcome. Here’s a reusable template:

Example multimodal prompt (using d3-ultra)

Given the following image (product photo), video (unboxing footage), and transcript (customer review), output: - Overall sentiment score - Key visual pain points - Recommended UI/UX tweaks --- [Insert multimodal data here]

Step 4: Interpret results and create actionable insights

Review the model’s output for biases or missing information. Transform raw data into actionable dashboards, executive summaries for product teams, and communication plans for marketing.

Practical examples with the latest AI models

Example 1: Real-time sentiment monitoring with Genie 4

Set up Genie 4 to analyze live social media audio feeds. Use this prompt:Analyze the following audio snippets to determine sentiment toward our brand. Return: - Overall sentiment level (positive/negative) - Emerging keywords (max 5) - Quick response suggestion

Example 2: Extended context analysis with Fern 0.1

Upload a 5,000-page industry report to Fern 0.1. Prompt:Synthesize the top 10 most important points from this PDF, focusing on pricing trends, competitive dynamics, and emerging customer segments.

Example 3: Multimodal extraction with d3-ultra

Combine a product image, a demo video, and a written review. Prompt:Given the attached image, video, and review text, provide: - Feature strengths and weaknesses perceived by users - Visual design issues (if any) - Priority fixes for the next release

Key takeaways

• Start with a clear goal.AI-powered market research is most effective when you know exactly what you want to discover.
• Match the model to the task.Use Genie 4 for live audio, Fern 0.1 for large text corpora, and d3-ultra for multimodal analysis.
• Design task-specific prompts.Well-defined prompts reduce hallucinations and improve data quality.
• Validate and iterate.Always review results and refine both data and prompts based on your business needs.

Conclusion

IMPORTANT: We are in 2026. All temporal references must be current. Do not mention past years like 2024, 2023, etc. The content must be fresh and relevant to the present. CURRENT CONTEXT (October 2026): Here are some recent trends and news to inspire you: - Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context: Mirendil released Fern 0.1, its first model, pretrained from scratch with a 10M-token context window. It targets agentic AI R&D work, scores 100% on R... [2026-10-27] - vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model: vLLM Semantic Router released d3-ultra, a 27B open-weight multimodal decision model. It reads text, images and video once, then returns probabilities ... [2026-10-27] - Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Models: Liquid AI released LFM3, 6 open-weight 2B-class models for text, vision, audio, omni and decisions. LFM3-1.7B uses a tri-hybrid backbone, a 256K conte... [2026-10-27] Use this current information as inspiration to create an original and relevant prompt for 2026.