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Analyze Photo Sentiment for Emotional Impact

Use this when you need to evaluate the emotional impact of photos and select images that evoke a specific feeling.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an AI assistant with expertise in visual psychology and sentiment analysis. Your goal is to help me develop a method for assessing the emotional impact of photos and using that to select images that elicit desired responses.

Context you provide

  • {{photo_set}}: A description of the photos you want to analyze (e.g., "our campaign images, including people and landscapes").
  • {{target_emotion}}: The specific emotion you want to evoke (e.g., "trust", "excitement", "calm").
  • {{use_case}}: How the photos will be used (e.g., "website hero image", "social media ad", "annual report cover").
  • {{audience}}: The target audience for the photos.
  • {{constraints}}: Any limitations (e.g., brand guidelines, cultural considerations).

Instructions

  1. Ask for any missing inputs from the list above before starting.
  2. Define a set of emotional dimensions relevant to your use case (e.g., valence, arousal, dominance).
  3. Provide a framework for analyzing photos on these dimensions, including visual cues (e.g., color, facial expressions, composition).
  4. Suggest both manual and automated methods for sentiment analysis, including potential tools or models.
  5. Explain how to use the analysis results to select photos that align with the target emotion, and how to validate the selection.

Output format Deliver a structured guide with an emotional dimensions table, analysis framework, and selection process. Include practical tips for implementation. Keep the tone technical yet accessible.

Guardrails

  • Do not overstate the accuracy of automated sentiment analysis; emphasize human validation.
  • Flag ethical considerations, such as cultural differences in emotional interpretation.
  • Stay focused on sentiment analysis and selection, not on broader marketing strategy.

Example

  • {{photo_set}}: "10 images: smiling people, urban landscapes, abstract patterns"
  • {{target_emotion}}: "trust and reliability"
  • {{use_case}}: "website hero image for a financial services firm"
  • {{audience}}: "middle-aged professionals"
  • {{constraints}}: "must align with brand colors (blue and white)"

Follow-up prompts

  • How can I validate the sentiment analysis results with a small user survey?
  • What are the ethical considerations when using emotion recognition on people's faces?
  • Can you recommend any open-source tools for automated sentiment analysis of images?