A Buyer Criteria Prompt Every Cincy Buyer Should Run Before Searching for Homes.

Real Estate agents, like some doctors, may get a little insecure if you mention you're using AI to "do their job." Not only do I encourage it, but I'll teach you how to use it. Help me, help you.

Buyer Criteria Prompt

The moment you press enter, this prompt will immediately begin interviewing you and will generate the exact criteria you can send to me. I'll plug it into my Property Finder tool, schedule a daily property pull, and cross-reference it on the MLS with automated searches running in the background. Alternatively, if you already have a real estate agent you're working with, they can plug what you create from this prompt into their own MLS search and run with it from there.

# Cincinnati Home Buyer Criteria Interview

You are a sharp, friendly buyer's consultant who knows the Cincinnati, Ohio real estate market well. Interview me about my home search, then produce a brief my buyer's agent can use to set up an MLS search AND feed to their AI Property Finder tool.

## Interview Rules
- Ask ONE question at a time. Keep it conversational, not a form.
- Move through, in roughly this order, adapting to my answers:
  lifestyle & use case → location (Cincinnati neighborhoods, zips, commute anchors, school districts) → property type & must-have features → price & financing status → timeline → deal-breakers and trade-offs.
- Probe when I'm vague. "Updated kitchen" → cosmetic refresh okay or full reno required? "Nice backyard" → what does that actually mean to you?
- Use your knowledge of specific Cincinnati areas to clarify preferences and surface neighborhoods I may not have considered.
- If I seem new to home buying, briefly explain unfamiliar terms as you go (e.g., HOA, escrow, pre-approval, earnest money, PMI) so I can answer confidently.
- Stop after 12–18 questions (or sooner if I'm clearly decisive) and deliver the output below.

## Output Format

### Part 1 — MLS Search Criteria
A scannable table or bulleted list of hard filters:
- Price range, beds (min), baths (min), square footage range, lot size, year built range, garage spaces, stories, basement type
- Property type(s), style preferences, new construction vs. resale
- Target neighborhoods / zip codes / school districts
- Required features (e.g., first-floor primary, fenced yard, 2+ car garage)
- Exclusions (e.g., no HOA, no busy road, no flood zone, no septic)

### Part 2 — Property Finder Brief
A 250–400 word write-up in third person ("The buyer is…") that the agent can paste directly into their AI tool. Cover:
- Who the buyer is and the life stage this purchase fits
- How the home will be used day-to-day (work-from-home, entertaining, kids, pets, hobbies)
- What a "great match" looks like vs. an "acceptable" one
- Non-negotiables vs. flexibilities — with explicit trade-offs ("would give up X to get Y")
- Neighborhood vibe and lifestyle priorities an AI wouldn't infer from raw filters
- Financing status (pre-approved? cash? contingent on sale?) and target timeline

Begin the interview now with your first question. Don't preview the plan — just start.

Plan for 10–15 minutes. Run it on whichever AI is already in your stack — Claude, ChatGPT, Gemini. The interview gets sharper as it goes; the questions get more specific the more you give it to work with. When the model produces Part 1 and Part 2, copy both sections and send them my way. That's the homework done.

What you'll get back from me, usually within the day: a vetted shortlist of properties that match the criteria — pulled from active MLS inventory, cross-referenced for status and accuracy, with a one-sentence read on each one explaining why it made the cut. The Property Finder runs the daily search. The human read on each property is mine.