Add to ClaudeDataForSEO is the paid SEO and ASO data connection for live Google results, keyword metrics, ranking keywords, competitors, on-page checks, domain technologies, web mentions and sentiment, and Apple or Google app-store research.
It is a bounded job layer over DataForSEO search and app-data APIs, not an unrestricted endpoint proxy. Each skill keeps location, language, observation time, requested limits, and provider-reported cost in the response. Missing rows stay missing.
What you can do
- Pull a live Google organic SERP and Google Trends interest for named keywords
- Get search volume, keyword ideas, and keyword difficulty from the keyword index
- List keywords a domain ranks for and the domains competing in the same results
- Audit one URL's on-page facts and the technologies detected on a domain
- Search web mentions of a phrase with content_mentions, then size them with content_summary, content_sentiment and rating_distribution
- Track how often a phrase or a topic category is cited over time with mention_trends and category_mention_trends
- Search Apple App Store and Google Play, then fetch app details, reviews, listings, and charts
- See which keywords an app ranks for with app_keywords, its rival apps with app_competitors, shared keywords with app_keyword_gap, and ranking totals for many apps with app_metrics
Who it's for
SEO and ASO teams who need metered search and app-store evidence in agent workflows without wiring every DataForSEO endpoint separately.
How to use it
- Connect the DataForSEO account, then keep country and language the same across related calls
- Start with keyword_ideas or organic_serp for SEO, or app_search for ASO
- Use ranked_keywords and domain_competitors for site visibility, and app_info or app_reviews for store pages
- For brand monitoring, run content_summary on the brand, then mention_trends over a date range
- For app rivals, run app_keywords and app_competitors, then app_keyword_gap across the top rivals
Getting started
Call keyword_ideas with a seed topic, or app_search with a store keyword. Results are provider observations, not a promise of what every user sees.
