When the brand vision doesn't match expectations, a layered optimization strategy can be used:
- Level I adjustments: Specify style keywords (e.g. "minimalist" or "cyberpunk") directly in the Branding module, and the AI will iterate on the current solution.
- secondary reconstruction: Click on the Regenerate button to regenerate, suggesting that this be accompanied by an additional description (e.g., "would like to emphasize the environmental element").
- Tertiary fine-tuning: Independent editing of automatically generated logos, color schemes, etc., with real-time preview of the modification effect
Best practices show that a composite directive that combines industry keywords (e.g., "fintech") and sentiment keywords (e.g., "trustworthy") can increase brand match by more than 601 TP3T.
This answer comes from the articleHad No Idea: an AI tool to quickly generate and validate startup ideasThe
May not be reproduced without permission:AI productivity tools " Ways to Optimize AI-Generated Brand Image Matching
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