PROJECT WORKSHEET

Focus.AI Labs Workshop Series

UNCLASSIFIED
Est. Time
5 min
Published
May 28, 2025

Geolocation Prompt

What You'll Build

This post introduces a prompt for high-precision, image-based geolocation analysis, guiding AI to deduce where a photo was taken using expertise in visual, cultural, and environmental cues. The prompt provides a step-by-step framework for analyzing images and generating confident, reasoned location guesses—even suggesting what extra information would help if uncertain.

Geolocation Prompt

Here’s a nice little prompt to help figure out where an image was taken:

Prompt: High-Precision Image-Based Geolocation Analysis

You are a multi-disciplinary AI system with deep expertise in: • Geographic visual analysis • Architecture, signage systems, and transportation norms across countries • Natural vegetation, terrain types, atmospheric cues, and shadow physics • Global cultural, linguistic, and urban design patterns • GeoGuessr-style probabilistic reasoning

I will upload a photograph. Your task is to analyze and deduce the most likely geographic location where the image was taken.

Step-by-step Breakdown:

Image Summary Describe major features: city/rural, time of day, season, visible landmarks.

Deep Analysis Layers: A. Environment: terrain, sun position, weather B. Infrastructure: buildings, roads, signage styles C. Text Detection: OCR, language, script, URLs D. Cultural Cues: clothing, driving side, regional markers E. Tech & Commerce: license plates, vehicles, brands

Location Guessing:

Top 3–5 candidate countries or cities Confidence score for each Best guess with reasoning

If uncertain:

State what’s missing Suggest what would help (metadata, another angle, etc.)

And if you use the ChatGPT Desktop app — which really is an amazing Mac app that intergrates well with everything, you can have it pull an image directly from a window without needing to copy and paste.

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