Start from local customer language
Interview customers, sales teams, support teams, distributors, and local operators to collect vocabulary around the problem, category, use case, desired outcome, alternatives, and objections. Product names and literal translations often differ from the language customers use.
Build seed themes rather than one enormous list. Include category, problem, solution, comparison, brand alternative, task, question, location, and support intents.
Expand and validate in the target market
Use local search suggestions, search-result pages, competitor navigation, marketplace categories, forums, reviews, and keyword tools to expand each theme. Record the market, language, source, observed intent, and confidence.
Inspect the actual result set. Similar phrases can produce different page types or customer expectations across markets. A keyword belongs in the plan only when the business can create the page and satisfy the local intent.
Cluster by decision and page purpose
Group terms that can be answered by one useful page. Separate informational guides, comparisons, category pages, product pages, tools, templates, and support content. Avoid producing one page for every small wording variation.
Map each cluster to a primary intent, target audience, funnel stage, evidence requirement, conversion path, and existing page. This exposes both content gaps and cannibalization risks.
Prioritize and learn from performance
Score clusters by relevance, reachable demand, competitive feasibility, commercial value, evidence availability, localization effort, and connection to the product. Publish a small set, measure qualified traffic and conversion, then improve the model.
Feed query and conversion data back to local reviewers. Search language changes as markets, products, and customer understanding evolve.