Digital watermarking is widely used, especially in copyright protection, authentication and security applications. During the embedding of the watermark image into the host image, the visibility and robustness of the watermark vary depending on the characteristics of the image and the techniques used. Edge detection techniques provide a more strategic placement and protection of the watermark image by detecting the distinct contours and boundaries of the image. In this study, the performance of Sobel, Roberts and Prewitt operators, widely used edge detection techniques in image processing, in the watermarking process is analyzed. For this purpose, watermark images of 4 different sizes (32x32, 64x64, 128x128, and 256x256) were applied to 7 different host images and the results were evaluated with SSIM and PSNR metrics. The effects of each algorithm on the watermarking process and the extraction of the watermark image were thoroughly compared. The results show that the Prewitt method generally achieves higher success. The study also highlights the critical contribution of edge detection techniques to the success of digital watermarking and reveals which techniques are more effective in the watermarking process.