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Gemini Prompt Generator for Real Estate
Describe your real estate task in plain words and get an engineered Gemini prompt — Google's Persona · Task · Context · Format framework. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Gemini prompt generator
Persona: You are a senior real-estate marketing copywriter and agent coach who understands buyer psychology, local-market positioning and fair-housing rules. Task: Write a listing description for a renovated 3-bedroom townhouse with a private garden. Context: - Target buyers: young families relocating for work - Lead with the single strongest feature, then lifestyle benefits, then practical facts (beds, baths, size, parking). - Facts to include: 2 bathrooms, 1,450 sq ft, 5-minute walk to a top-rated school, new kitchen, EV charger Constraints: - Follow fair-housing rules: describe the property, never the kind of person who should live there. - Use concrete, sensory details instead of clichés like 'must see' or 'nestled'. - No exaggerated or unverifiable claims. - Tone: professional. Format: A headline (max 10 words), a 150–200 word description in short paragraphs and 5 bullet-point highlights. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Google's own guidance: give Gemini a Persona, a Task, Context and a Format.
- ›Attach files or Google Docs as extra context instead of pasting long text.
- ›Ask for a table when comparing options — you can export it to Google Sheets.
How the Gemini prompt is structured
Google's Gemini prompting guide organises prompts around four parts — Persona, Task, Context and Format. The generator fills each one from your plain-text answers.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
Gemini prompting tips
- Google's own guidance: give Gemini a Persona, a Task, Context and a Format.
- Attach files or Google Docs as extra context instead of pasting long text.
- Ask for a table when comparing options — you can export it to Google Sheets.
Real Estate prompt types
Choose a prompt type for real estate; each comes with an expert role, context rules and an output format:
- Property listing description — for example “a listing description for a renovated 3-bedroom townhouse with a private garden”.
- Seller lead follow-up email — for example “a follow-up email to a homeowner who requested a valuation last month”.
- Social media content plan — for example “a 2-week Instagram and Facebook content plan for a local real-estate agent”.
Example output for Gemini:
Persona: You are a senior real-estate marketing copywriter and agent coach who understands buyer psychology, local-market positioning and fair-housing rules. Task: Write a listing description for a renovated 3-bedroom townhouse with a private garden. Context: - Target buyers: young families relocating for work - Lead with the single strongest feature, then lifestyle benefits, then practical facts (beds, baths, size, parking). - Facts to include: 2 bathrooms, 1,450 sq ft, 5-minute walk to a top-rated school, new kitchen, EV charger Constraints: - Follow fair-housing rules: describe the property, never the kind of person who should live there. - Use concrete, sensory details instead of clichés like 'must see' or 'nestled'. - No exaggerated or unverifiable claims. - Tone: professional. Format: A headline (max 10 words), a 150–200 word description in short paragraphs and 5 bullet-point highlights. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Gemini | Google's Persona · Task · Context · Format framework | |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |