Homeowner Sentiment Deep Research - Jason Pantana: AI + Marketing Training

What This Is

This prompt instructs Grok, an AI developed by xAI, to conduct a qualitative analysis of homeowner sentiment around listing residential real estate in your chosen geographic area.

Grok’s DeepSearch feature performs multi-step research using real-time data from social platforms, forums, news sites, and authoritative publications. It’s the only major AI currently connected to a live social feed (i.e., X – formerly Twitter), giving it a unique edge in surfacing raw, unfiltered public sentiment—especially around local events and housing conversations.

This kind of deep research is a growing strength of advanced AI tools (like Grok, ChatGPT, Perplexity, and Gemini). It refers to autonomous exploration and synthesis of live web content into a structured, source-supported report that captures not just what people are saying—but how they feel and why it matters.

Once Grok completes its analysis, you can copy the results into an AI podcasting tool like NotebookLM to enrich content with fresh, location-specific insights.

How To Use It

To get the most relevant and accurate output, you’ll want to tailor the prompt to your specific research goals. You may choose to modify the prompt based on the following preferences:

Research Focus
What are you trying to uncover? You might focus on homeowner sentiment, perceptions of market conditions, emotional readiness to sell, or the impact of recent events (like a natural disaster, policy change, or media narrative).
Geographic Area
Be specific. Local sentiment varies widely, so name the city, ZIP code, or even the neighborhood you want Grok to analyze.
Timeframe
Use the past 30 days as a baseline, or adjust to target specific seasonal trends, recent news cycles, or moments of market activity.
Targeted Sources
Identify which types of platforms are most likely to hold valuable insights—e.g.,
- X (formerly Twitter) for real-time reactions
- Reddit for long-form homeowner stories
- Facebook Groups or Nextdoor for hyperlocal chatter
- YouTube comments or news sites for opinionated takes

Once you’ve updated the prompt with your preferences, run it in Grok. After it completes its DeepSearch analysis, review the findings for accuracy and tone. From there, you can copy the results into a content tool like NotebookLM (or any AI writing assistant) to generate more informed, hyperlocal scripts, summaries, or talking points.

Prompt

Conduct a comprehensive qualitative analysis to deeply understand **current homeowner sentiment, perceptions, and psychological factors** specifically related to selling residential real estate in **Franklin, Tennessee**.

### Sources of Analysis:

Gather and analyze data from discussions published within the past **30 days**, drawing insights from:

– Official news outlets and authoritative real estate sources.
– Online forums (e.g., Reddit).
– Social media platforms (e.g., X/Twitter, Instagram, Facebook).
– Relevant local community groups or discussion channels.

### Analysis Objectives:

Your analysis should precisely identify and summarize:

– **Prevailing emotional sentiments** (positive, neutral, negative) expressed by homeowners considering listing their homes.
– **Key psychological motivators or barriers** influencing homeowners’ decisions.
– **Dominant themes, trends, and concerns**, including emerging anxieties or optimistic attitudes explicitly expressed by potential sellers.
– **Notable shifts or changes** in homeowner attitudes compared to previous periods, if discussed.

### Scope:

Exclude general or indirect real estate topics unrelated to homeowner sentiment and intentions regarding listing their homes. Ensure your findings remain directly relevant to homeowners in Manhattan Beach, highlighting nuanced insights that clearly reveal their current mindset, motivations, reservations, and overall emotional atmosphere toward selling residential real estate.

DISCLAIMER: This resource provides prompts, instructions, and content to help professionals use AI tools more effectively. Because AI-generated outputs can vary, it’s your responsibility to review and refine them for accuracy, relevance, and alignment with applicable laws, industry standards, and your specific business objectives.

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