Introduction: Why Market Research Needs AI Today
In 2026, gathering accurate and up-to-date market insights is faster with AI than with traditional methods. AI can analyze thousands of sources, spot emerging trends, and generate insights in seconds, freeing teams from repetitive tasks and letting them focus on high-level strategy.
This article explainshow to conduct market research using AIwith three cutting-edge tools: Perplexity’s self-improving model, Exa Agent Ultra for deep research, and Aikido Security’s new open-weight security model, Altar-1.
The Best AI Tools for Market Research in 2026
1. Perplexity: Learning from real mistakes
Perplexity has introduced a hint-guided self-distillation system that uses failed research sessions to improve the model’s capabilities. This allows the engine to correct itself in real time, delivering more reliable results for competitive analysis and pricing intelligence.
2. Exa Agent Ultra: A swarm of subagents for deep research
Exa has launched Agent Ultra, an API that coordinates multiple subagents to sift through thousands of sources, create comprehensive lists, and synthesize high-quality market data. It’s particularly effective for sentiment monitoring and competitor ecosystem mapping.
3. Aikido Security Altar-1: Security models optimized for sensitive data
Altar-1 is an open-weight model derived from GLM-5.3 and reduced to just 328 GB. Its smaller footprint makes it ideal for running secure, local market research processes, protecting sensitive customer data.
Practical Examples: Market Research Prompts
Example 1: Competitive Analysis with Perplexity
Use the following prompt to get a detailed overview of a competitor in 2026:
Perplexity, provide a detailed competitive analysis of [Competitor Name] based on the latest 30 days of data. Include:
- Main strengths and weaknesses
- Pricing positioning
- New product launches or updates
- Social media sentiment reactions
- Predict next strategic moves based on industry trends
Focus on verifiable sources and cite them.Perplexity’s self-improving model will correct itself during the session, fixing any interpretation errors in real time.
Example 2: Deep Market Research with Exa Agent Ultra
Use Agent Ultra to create a comprehensive list of clean technology startups:
Exa Agent Ultra, create a structured list of all clean technology startups registered in 2026 in Europe and North America. For each startup, collect:
- Name and year of foundation
- Annual revenue (if available)
- Core technologies / patents
- Recent funding rounds and amount
- Industry analysts who have mentioned them
- Sources: academic articles, press releases, LinkedIn profiles
Return in Markdown format with separable columns.Agent Ultra will distribute subagents across thousands of sources, ensuring a comprehensive and up-to-date dataset.
Example 3: Secure Market Research with Altar-1
When analyzing sensitive internal research data, run a local query with Altar-1:
Altar-1, analyze the following internal market research dataset (simulated):
- Market shares by region: North America 45%, Europe 30%, Asia-Pacific 25%
- Growth rates: SaaS +12%, Hardware -3%, Services +8%
Extract the top 5 factors driving these trends and suggest 3 strategic actions. Keep the response confidential and do not share raw data outside this context.Thanks to its small size and open-source nature, Altar-1 can be hosted on local servers, ensuring sensitive data remains protected.
Best Practices for Market Research Teams
- Combine multiple AI sources.Use Perplexity for quick answers, Exa Ultra for deep research, and Altar-1 for secure internal data analysis.
- Document every prompt.Keep a record of the exact prompts and model versions to ensure reproducibility and compliance.
- Validate with human sources.Even the most advanced LLMs can occasionally produce outdated information; always verify statistics with reliable industry reports or primary surveys.
- Implement version control.Record API call timestamps and version numbers to track how insights evolve over time.
- Leverage self-distillation to your advantage.Provide feedback on Perplexity’s incorrect results to continuously improve outcomes for your domain.
Key Takeaways
Try the prompts above, adapt each AI tool’s style to your specific needs, and watch how your decision-making transforms into data-driven intelligence.