The Keyword Suggestion API returns a list of related keywords based on a queried keyword. The response includes the main keyword and an array of suggested keywords that are relevant to the input.

The response data contains two key fields: "Keyword," which is the original queried keyword, and "Related," which is an array of suggested keywords related to that query.

The response data is structured in JSON format. It includes a single object with the "Keyword" field and a "Related" array, making it easy to parse and utilize in applications.

The main parameters for the GET Keywords endpoint are "topic" (the keyword you want suggestions for) and "language" (to specify the language of the suggestions).

Data accuracy is maintained by analyzing real-time search queries and trends. The API continuously updates its keyword suggestions based on user behavior and search patterns to ensure relevance.

Typical use cases include optimizing website content for SEO, generating ideas for blog posts, conducting market research, and enhancing ad campaigns by identifying effective keywords.

Users can incorporate the suggested keywords into their content strategies, SEO efforts, or ad targeting to improve visibility and engagement. The related keywords can also inspire new content topics.

If partial or empty results are returned, users should consider refining their input parameters, such as using more specific keywords or checking the language setting, to improve the relevance of the suggestions.

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