Write an in-depth travel guide to a city for my blog
A structured, reusable city guide with neighborhoods, itineraries, and practical tips, written in your blog's voice.
The prompt
Write an in-depth travel guide to a city for my travel blog.
City: [CITY, COUNTRY]
My readers: [e.g. "budget solo travelers", "families", "food-focused couples"]
My voice: [describe it, or paste a sample paragraph]
My firsthand experience: [when I visited, places I went, personal stories and tips]
Length: [e.g. "3,000 words"]
Keyword focus, if any: [e.g. "things to do in Lisbon"]
Use this structure (keep it the same for every city so my guides are consistent):
1. Intro: why go, who it's for, and the city's character in a few sentences.
2. When to visit: seasons, weather, events, and crowds.
3. Getting there and around: airports, transit, walkability, passes.
4. Where to stay: 3-5 neighborhoods with who each suits and price level.
5. Top experiences: must-sees plus lesser-known picks, each with a practical tip.
6. Food and drink: local dishes and where to try them.
7. Sample itineraries: 1, 2, and 3 days.
8. Budget: typical costs by travel style.
9. Practical info: safety, money, tipping, etiquette, SIM and Wi-Fi, accessibility.
10. Day trips.
11. FAQ of 5-8 real reader questions.
Rules:
- Feature my firsthand experiences prominently; they are what makes the guide worth reading.
- Do not invent opening hours, prices, or business names. Mark anything I need to check as [VERIFY].
- Avoid clichés like "hidden gem" and "vibrant tapestry."
Also give me an SEO title, meta description, and image ideas for each section.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Content & Social Media prompts
What to fill in
- CITY, COUNTRY
- describe it, or paste a sample paragraph
- when I visited, places I went, personal stories and tips
- e.g. "3,000 words"
- e.g. "things to do in Lisbon"
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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