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examples

This skill should be used when the user asks for "DataForSEO examples", "DataForSEO workflows", "SEO analysis example", "show me how to use DataForSEO", or needs complete end-to-end scenario walkthroughs for SEO data analysis with DataForSEO.

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Agents-Store/opencode-plugins
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October 3, 2026 at 23:16
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examples
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This skill should be used when the user asks for "DataForSEO examples", "DataForSEO workflows", "SEO analysis example", "show me how to use DataForSEO", or needs complete end-to-end scenario walkthroughs for SEO data analysis with DataForSEO.
# DataForSEO Workflow Examples Complete end-to-end scenarios showing how to chain DataForSEO `api_request` calls for real SEO work. Each call is shown as its REST path and `data` body; the scenarios assume the docs-first cycle and an agreed budget from the `mcp-patterns` and `cost-awareness` skills. ## Available Scenarios | Scenario | Description | Endpoints Used | |----------|-------------|----------------| | [Keyword Strategy](references/scenarios/keyword-strategy.md) | Build a keyword strategy for a new product launch | keyword_ideas, keyword_suggestions, keyword_overview, search_intent, bulk_keyword_difficulty | | [Competitor Gap Analysis](references/scenarios/competitor-gap-analysis.md) | Full competitive analysis with keyword and backlink gaps | competitors_domain, domain_rank_overview, domain_intersection, backlinks competitors, bulk_ranks | | [Backlink Prospecting](references/scenarios/backlink-prospecting.md) | Find link building opportunities via competitor analysis | backlinks summary, bulk_ranks, referring_domains, bulk_spam_score, anchors | | [Content Opportunity Finder](references/scenarios/content-opportunity-finder.md) | Discover content topics with traffic potential | content_analysis summary and phrase_trends, keyword_ideas, SERP organic, llm_mentions | ## Quick Start Pattern Every DataForSEO workflow follows the same pattern: 1. **Plan**: read the endpoint pages with `docs_search`, list the calls, agree a budget 2. **Discover**: broad endpoints (keyword_ideas, competitors_domain, content_analysis search) find opportunities 3. **Evaluate**: metrics endpoints (keyword_overview, bulk_keyword_difficulty, backlinks summary) assess potential 4. **Prioritize**: filter by difficulty, volume and relevance to select targets 5. **Deep Dive**: detailed endpoints (ranked_keywords, backlinks, SERP organic) on the top targets 6. **Report**: compile findings into actionable recommendations ## Common Parameters Across All Scenarios - `location_code`: 2840 is United States; `location_name` with the full country name also works - `language_code`: ISO code, "en", "de", "fr", "es" - `limit`: result rows; 10 unless set in the default `.ai` mode, 1000 at most - `filters`: array syntax for narrowing results - `order_by`: array of "field,direction" strings ## Cost Tips - Start broad with bulk endpoints (cheaper per result) - Use keyword_overview for up to 700 keywords in one call - Use the bulk endpoints for up to 1000 targets per call - Filter in the request, not after fetching all the data - Show the plan and get the user's go-ahead before the first `api_request`
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