Before every listing appointment, to walk in more prepared than any other agent the seller will meet. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Pre-Listing Appointment Research Brief. # Context Original working context: - Create a pre-listing research brief for a listing appointment at {{property_address}}. Compile: - 1. Property details — public record data, last sale price and date, tax assessment, lot size, and any permits pulled. - 2. Comparable sales — the 3 most relevant recent sold properties within {{radius}} in the past {{timeframe}}, with price per sq ft and days on market. - 3. Active competition — current listings in the same price range the seller will be competing against. - 4. Neighbourhood context — school ratings, walkability, recent development or infrastructure changes. - 5. My recommended price range and the single most important pricing insight for this property. 📌 # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.Before every listing appointment, to walk in more prepared than any other agent the seller will meet. ✅
Knowing the seller's purchase price and date before the appointment tells you whether they have equity concerns — a seller who bought at peak will need a very different pricing conversation than one who has owned for 20 years.
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