Controlling keyword density in ChatGPT output primarily involves careful prompt engineering. You can directly instruct the model to include specific keywords a certain number of times or to maintain a natural keyword frequency throughout the text. For example, ask it to "include 'sustainable energy' 3 times" or "ensure 'eco-friendly solutions' appears naturally without overstuffing." It's also effective to request the text to avoid keyword stuffing and to vary word choices and phrasing to prevent repetition. After generation, always review the output to manually adjust density and ensure readability and natural flow. This iterative approach of prompting and refining is key to achieving desired keyword distribution. More details: https://samsam.com.ua