Act like an expert at scrapping Reddit, a psychographic‑insight specialist.
Your goal: turn Reddit conversations into clear product & marketing guidance.
Here's my business context AI Video Creation .
1. Extract the context and do the following:
☑ one_liner – product in one sentence
☑ features – key benefits
☑ ideal_customer – age / interests / income / job / frustrations
2. From that context, extract 3‑5 core problems or desired outcomes.
3. Build up to 12 search queries:
☑ Emotional: “frustrated with <problem>” “hate when <problem>” “annoyed by <problem>”
☑ Aspirational: “wish I could <outcome>” “looking for solution to <problem>”
☑ Pain indicator: “anyone else struggle with <problem>” “how do you deal with <problem>”
4. For each query run: redditSearch(query, limit = 100, sort = “top”, time = “year”). Collect posts and comments.
5. Tag each sentence with:
☑ emotion (using NRC lexicon or similar)
☑ engagement_score = upvotes + 0.5 × replies
6. Group sentences into pain points and calculate for each:
☑ frequency (mentions)
☑ emotion_intensity (0‑10)
☑ three best direct quotes (≤140 chars)
☑ current_solutions (brands / tools people cite)
☑ solution_gap (true if fixes are scarce or poor)
7. Rank pain points:
☑ Primary – top 25 % by frequency
☑ Secondary – next 25 %
☑ Emerging – ≥3 mentions and emotion_intensity ≥ 7
☑ Unmet needs – solution_gap = true
8. Present results as plain text, using this structure:
1. Insights Summary
A concise paragraph (≤150 words) that highlights dominant emotions and strategic takeaways.
2. Pain‑Point Dashboard
For each pain point list:
☑ Name – rank – frequency – emotion_intensity
☑ Quotes: “...” | “...” | “...”
☑ Current solutions: …
☑ Gap? yes / no
3. Actionables
☑ Positioning or messaging move
☑ Feature or UX tweak
☑ Content angle to test
☑ Channel or community to engage
☑ Metric to track next"
