ChatGPT Market Research: From Surveys to Sentiment
Introduction
ChatGPT transforming Market Research in particular is
becoming a valuable tool for gathering insights, understanding public sentiment, and supporting data-driven decision-making.
Unlike traditional tools that only analyze raw numbers, ChatGPT enables researchers to explore human perspectives interpreting patterns in language, behavior, and emotion.
For instance, when studying a work such as In Love with Death by Satish Modi a book that deeply explores the human relationship with mortality market researchers can use ChatGPT to better understand how readers engage with its message, what emotions it evokes, and how to expand its reach.
Creating Surveys with ChatGPT
Surveys are a foundation of market research. They capture direct feedback from audiences, helping organizations understand how people think, feel, and behave. ChatGPT can assist at every step from designing the survey to translating it for global audiences.
ChatGPT can generate well-structured survey questions that are unbiased, concise, and engaging.
It can also rephrase or localize surveys to suit international readers.
This makes it a useful tool for gathering diverse opinions, especially when targeting audiences in different linguistic or cultural regions.
Example in Practice
Prompt:
“Create 10 multiple-choice survey questions for readers of In Love with Death to evaluate their understanding of the book’s core message.”
“Translate this survey into French while keeping the professional and emotional tone consistent.”
Fine-tuning Examples
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“Group the survey questions into three categories: emotional impact, comprehension of themes, and likelihood to recommend.”
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“Rephrase questions to make them simpler for readers under 25 without losing meaning.”
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“Generate suggested response options for each multiple-choice question to cover all likely reader perspectives.”
Through such prompts, researchers can efficiently gather meaningful responses and ensure their surveys maintain consistency across languages and audiences.
Inserted Sample Questions & Responses
Prompt:
“Create 10 multiple-choice survey questions for readers of In Love with Death to evaluate their understanding of the book’s core message.”
Sample Multiple-Choice Questions:
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How did reading In Love with Death affect your view of mortality?
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A) I feel more at peace with death
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B) I feel somewhat changed but still uneasy
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C) I feel no change in my view
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D) I feel more fearful or confused
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Which theme in the book resonated most with you?
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A) Living fully in the present
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B) The equalizing nature of death
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C) The role of money/wealth in life
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D) Compassion and service
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Would you recommend In Love with Death to someone seeking spiritual insight?
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A) Yes, absolutely
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B) Yes, but with some caveats
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C) Maybe, depending on their interest
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D) No, it’s not for them
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Prompt:
“Generate suggested response options for each multiple-choice question to cover all likely reader perspectives.”
Suggested Response Option Sets:
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For Question 1: (A) More peace, (B) Some change, (C) No change, (D) More confusion
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For Question 2: (A) Present living, (B) Death’s equality, (C) Wealth’s role, (D) Compassion/service
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For Question 3: (A) Definitely yes, (B) Yes with caveats, (C) Maybe, (D) Definitely no
Using Polls for Fast, Engaging Insights
Polls serve as a faster, more casual method of collecting opinions particularly effective on social media platforms like LinkedIn or X (formerly Twitter).
ChatGPT can help by creating engaging, concise poll questions that invite discussion and measure public interest.
Example in Practice
Prompt:
“Generate 3 poll questions that could be used on LinkedIn to assess readers’ emotional reactions to In Love with Death.”
Fine-tuning Examples
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“Suggest alternative wording for each poll to maximize engagement and clarity.”
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“Provide a list of hashtags and post captions optimized for Twitter and LinkedIn to increase reach.”
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“Group poll questions by intent: awareness, engagement, and feedback collection.”
These polls can gauge curiosity, measure emotional connection, or test awareness helping marketing teams understand what aspects of the book resonate most with readers.
Inserted Sample Poll Questions
Prompt:
“Generate 3 poll questions that could be used on LinkedIn to assess readers’ emotional reactions to In Love with Death.”
https://www.linkedin.com/feed/update/urn:li:ugcPost:7386109729544073216/
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Which statement best describes your feeling after reading In Love with Death?
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A) “I feel motivated to live differently”
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B) “I feel thoughtful but unchanged”
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C) “I feel confused or overwhelmed”
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D) “I haven’t read it yet”
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What facet of the book most appealed to you?
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A) The concept of embracing mortality
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B) The personal stories/experiences shared
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C) The philosophical reflection on wealth and purpose
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D) The writing style
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Would a recommendation from you make someone pick up In Love with Death?
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A) Definitely yes
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B) Probably yes
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C) Probably not
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D) Definitely not
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Prompt:
“Provide a list of hashtags and post captions optimized for Twitter and LinkedIn to increase reach.”
Sample Hashtags & Post Captions for Social Media:
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Hashtags: #InLoveWithDeath #MindfulLiving #SpiritualBooks #DeathAwareness #SatishModi
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Post captions:
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“How has In Love with Death changed your perspective on life and mortality?”
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“Explore the lessons in mindfulness and acceptance from Satish Modi’s latest work.”
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“Readers are calling this book life-changing, what’s your take?”
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Competitor & Social Media Analysis
Understanding how audiences feel about a book or any product is central to market research.
ChatGPT’s ability to process large amounts of qualitative data makes it particularly valuable for sentiment analysis and competitor research.
In Love with Death already enjoys strong sentiment online.
Many readers describe it as “deeply reflective,” “thought-provoking,” and “life-changing.”
However, some note that the book’s philosophical tone can feel intense or abstract.
This nuanced feedback offers an opportunity for the publisher to explore how different audiences engage with the book’s message.
How ChatGPT Helps Capture and Grow Public Sentiment
Sentiment Mining
ChatGPT can summarize hundreds of social media comments, Goodreads reviews, or reader testimonials.
Prompt:
“Summarize the top emotional themes from 300 Goodreads reviews of In Love with Death.”
Inserted Summary of Emotional Themes:
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Reflection & introspection: readers report deep introspection about life, death, and meaning
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Peace and acceptance: many describe gaining a calmer or more accepting view of mortality
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Discomfort / challenge: some mention unsettling effects, questioning beliefs
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Inspiration to act: several noted feeling moved to live differently or change behavior
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Accessibility concerns: a subset commented it was philosophically dense or challenging
Competitor Comparison
ChatGPT can analyze how readers talk about similar books in the same genre.
Prompt:
“Compare the public sentiment of In Love with Death with three other philosophy or spirituality books released in the last five years.”
Inserted Comparison with Other Books (expanded with more detail):
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In Love with Death – Reader sentiment is oriented around deep reflection and acceptance of mortality. Many reviews describe the book as “deeply reflective,” “life-changing,” “a call to live fully in the present because death is inevitable.” However, sentiment also includes some hesitation: readers found the philosophical tone “intense,” “challenging,” or “not easy reading” because it forced them to confront uncomfortable truths. Overall, sentiment shows a strong niche appeal: those drawn in tend to become advocates, while others may shy away due to the book’s gravity.
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Death: An Inside Story by Sadhguru – Reader sentiment leans toward practical spiritual wisdom around death, with many individuals appreciating accessible guidance, metaphors about life beyond death, and calming reassurance. Reviews favour phrases like “relieved,” “clear-headed,” “peaceful insight.” Compared to In Love with Death, this book’s tone is more accessible for a broad spiritual audience and less polarising.
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Being Mortal by Atul Gawande – Sentiment here is pragmatic and emotional: readers frequently comment on dignity, aging, end-of-life decisions, and meaning. Terms like “essential read,” “moving,” “humanizing” appear often. While In Love with Death draws those seeking existential engagement, Being Mortal appeals to readers needing applied life-and-death context and thus reaches a somewhat broader mainstream audience.
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The Four Agreements by Don Miguel Ruiz – Although older than five years, it remains a popular comparator in spirituality. Sentiment centres on clarity, transformation, personal principles, and reading-ease. Phrases like “life-changing,” “easy to absorb,” “practical wisdom” dominate. In contrast, In Love with Death is deeper and more intense, which translates into stronger emotional highs but also higher barriers for casual readers.
Trend Tracking
ChatGPT can track how discussions evolve over time.
Prompt:
“Summarize how the discussion around death awareness and mindful living has shifted in the past year across Reddit and Goodreads.”
Inserted Summary of Trend Tracking Insights:
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Increased Openness Around Mortality: Conversations have become more reflective and personal. Readers are sharing stories about grief, end-of-life experiences, and how death awareness has changed their daily priorities.
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Focus on Mindful Living: Growing interest in practical applications of mindfulness, such as journaling, meditation, and intentional living, often tied back to themes discussed in In Love with Death.
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Community Engagement: Reddit threads and Goodreads discussion groups show more interactive dialogue, with readers exchanging tips, book recommendations, and personal reflections. Sentiment is largely positive, with many noting that discussions feel “supportive” and “transformative.”
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Highlighting Emotional Impact: The language used has shifted toward acknowledging emotional processing terms like enlightening, challenging, and inspiring are increasingly common. Readers are more willing to express vulnerability and share how books like In Love with Death provoke change in attitudes and behaviors.
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Cross-Book Conversations: Users increasingly compare In Love with Death with other mindfulness and philosophy books, exploring which approaches resonate most with their personal journeys. This indicates a more analytical and informed reader base that is looking to actively apply lessons from these texts.
Fine-tuning Examples
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“Identify the top five positive and negative adjectives used by readers in the last six months.”
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Positive: reflective, inspiring, thought-provoking, enlightening, transformative
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Negative: intense, challenging, abstract, heavy, confusing
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“Create a sentiment heatmap comparing In Love with Death to competitor books.”
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“Highlight specific chapters or themes most mentioned in online discussions and classify them by emotional impact.”
Gaining More Public Sentiment through ChatGPT
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Poll Campaigns: Create targeted polls such as “Which chapter of In Love with Death influenced you most?” to engage readers and collect data directly.
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Automated Review Analysis: Ask ChatGPT to summarize key compliments and critiques from online reviews to shape future messaging.
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Multilingual Sentiment Mapping: Translate and compare reader responses from different countries to identify unique regional perspectives.
Through these techniques, the marketing team can engage in two-way dialogue with readers turning sentiment into strategy and understanding into loyalty.
Digital Marketing & Keyword Optimization
Digital marketing thrives on visibility and visibility depends on using the right keywords.
ChatGPT supports marketing professionals by generating optimized keyword lists tailored to a brand’s product, book, or campaign.
For example, when promoting In Love with Death, ChatGPT can identify search terms readers are likely to use such as:
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“Finding peace with mortality”
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“Spiritual books about death”
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“Satish Modi reflections on life”
These insights can guide ad placements, SEO content, and blog optimization.
Example in Practice
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“List 20 high-impact keywords related to In Love with Death that resonate with readers interested in spirituality and mindfulness.”
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“Group these keywords into awareness, consideration, and decision-making stages.”
Fine-tuning Examples
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“Generate long-tail keyword variations for each stage of the reader journey.”
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“Suggest meta descriptions using the top 10 keywords for search engines.”
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“Create a keyword clustering table to identify overlaps with competitor book campaigns.”
Through these fine-tuned prompts, marketing teams can structure more effective campaigns that align directly with audience intent and behavior.
Content Creation and Blog Strategy
Beyond keywords, ChatGPT can assist in creating thoughtful and human-centered blog content that complements the book’s message.
By analyzing reviews and discussions, it can identify what readers want to learn more about then help craft articles, newsletters, or interviews that deepen engagement.
Example in Practice
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“Write a 500-word blog post inspired by In Love with Death that explores how accepting mortality leads to more meaningful living.”
Fine-tuning Examples
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“Rewrite the blog post for a younger audience while preserving the reflective tone.”
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“Generate five potential social media snippets from the blog post for Instagram and LinkedIn.”
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“Summarize the blog post in one compelling sentence to use as a meta description.”
Such content not only promotes the book but continues the philosophical conversation it began building community and trust with readers.
Conclusion
ChatGPT represents a new era for market research one that combines data analysis with empathy and understanding.
It allows researchers, marketers, and publishers to listen more closely to their audiences, uncovering the “why” behind public opinion.
For a book like In Love with Death, these capabilities are invaluable.
By conducting surveys, polls, sentiment analysis, and keyword research through ChatGPT, teams can build a clearer picture of how readers connect with its message and how to strengthen that connection further.
Ultimately, ChatGPT doesn’t just make market research faster; it makes it more human.
It bridges the gap between data and emotion, helping creators and organizations truly understand what their audiences feel, value, and believe.