Keyword research and search demand specialist

It is working out what people search for, how often, in which markets and with what intent, before you build or write anything. The output is a ranked list of queries, each tied to one page and one business reason. It stops teams writing for terms that nobody searches.

I start from what the business serves and check how people phrase each need: search suggestions, Search Console queries, Semrush and Ahrefs data and the results page itself. For Topship, listing every route and checking how people searched for each showed that people search by start and end point.

Third-party volumes from Semrush and Ahrefs are estimates, so I use them to compare terms, not as forecasts. Once pages are live, Search Console impressions show real demand, and I update the plan. A term with a low estimated volume can still convert well when the intent is specific.

One primary query per URL, plus close variations that share its intent. Targeting many unrelated terms on one page dilutes it, and two pages for one query compete with each other. A map of one query per page, built before writing starts, prevents both problems.

It can show how much people search, who ranks and how hard the results look, which is enough to rank markets against each other. It cannot guarantee traffic or sales. I treat the result as a hypothesis and test it with a small set of pages first.