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How are you leveraging AI when conducting market research?

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3 Answers
Market Research
  1. JD Prater
    JD Prater

    Ting VP of Marketing • May 22

    Use Notebook LM to synthesize large volumes of research sources, and use LLMs like Claude as sparring partners to battle-test your findings and messaging before presenting internally. Two primary AI use cases for market research: 1. **Notebook LM for synthesis**: Feed in articles, reports, YouTube videos, competitive webinars, and your own materials. The Gemini-powered models synthesize everything into high-quality output sourced only from what you provide. The audio overview feature gives you a ...Read More

    314 Views
  2. Sapphire Reels
    Sapphire Reels

    Atlassian Senior Director of Product Marketing • May 22

    Use AI tools for directional speed and early synthesis, but set explicit guardrails — tell them not to blindly agree and not to fabricate sources. Pair AI output with third-party validation for anything high-stakes. Practical AI usage for market research: 1. **Set guardrails explicitly**: Tell the LLM: 'Don't just blindly agree with me' and 'Don't make up sources.' Hallucinated citations are a real risk. 2. **Use for directional speed**: When working on a condensed timeline (e.g., a white paper) ...Read More

    319 Views
  3. Michael Olson
    Michael Olson

    Splunk Sr. Director, Product Marketing - Observability • May 22

    Use Gong transcripts fed into ChatGPT or Gemini for customer insight synthesis, and use Wynter for real-time B2B message testing with your ICP in under 48 hours. Key AI-powered approaches: 1. **Gong + AI summarization**: Pop sales call transcripts into ChatGPT or Gemini to get summarized insights. This is a goldmine of customer language and pain points. 2. **Wynter for real-time message testing**: Upload messaging documents, web pages, or lightweight market research surveys. Target by ICP job ti ...Read More

    320 Views

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