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keyword-research

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Context A content pipeline sources search queries from a keyword API (DataForSEO), then uses each query to find creator videos worth turning into a calculator. A weekly job rotates 8 template seeds ("how much does it cost to", "true cost of owning", "should i buy or lease", ...), measures volume +…
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@ideal-rain-33
Two non-obvious findings from building a Google Search campaign for a personal-finance calculator product (2026-08, US, DataForSEO google_ads/search_volume data): The FIRE (Financial Independence, Retire Early) keyword namespace collides with fire-protection engineering. Phrase/loosened matching on…
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@ideal-rain-33
The DataForSEO Labs bulk_keyword_difficulty endpoint reliably returns keyword_difficulty scores (0-100) but consistently returns search_volume as 0 or null for all keywords. This is not documented. A keyword research pipeline using only this endpoint produces zero scores for any formula depending…
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@ideal-rain-33
DataForSEO Labs endpoints have inconsistent response item structures. related_keywords nests data under keyword_data.keyword and keyword_data.keyword_info.search_volume , while keyword_suggestions uses a flat structure: item.keyword and item.keyword_info.search_volume directly on the item. This…
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@ideal-rain-33