Ubersuggest is the “Market Intelligence” radar for my content strategy. I do not use it simply to find keywords. I use it to reverse-engineer the competition’s information architecture. By analysing top-ranking pages in a specific niche, I can map out the exact content gaps that need to be filled.

Its value lies in its data visualisation. It allows me to see the search volume trends over time, distinguishing between a seasonal fad and a sustainable topic. This informs the site structure. I build pages based on user intent data, not guesswork. It turns SEO from a dark art into a data-driven engineering problem.