Where they started
A well-known trader with a large following but scattered coverage. Search engines and AI assistants had no consistent account of who she was, what she had been recognised for, or what she ran — so a search returned social profiles and little that could be used to answer a question about her.
What we did
Coverage written around one consistent claim
Placements in publications that cover Nigerian business and finance, each stating the same facts in the same way — the Deriv recognitions, Presh Forex Academy, the background. Language models synthesise from sources that agree with one another, so consistency across independent outlets does the work that a single article cannot.
Written for questions, not keywords
Traditional SEO targets what someone types into a search box. AI assistants get asked full questions. The coverage was built to answer the question people actually ask — who is the best female trader in West Africa — rather than to rank for a phrase.
One version of the facts, everywhere
The same name, the same alternate name, the same titles and affiliations across every source, so there is nothing for a model to contradict itself with.