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serp-analysis

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Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO. Use when asked for SERP analysis, Google ranking research, search feature identification, or organic visibility assessment.

research/serp-analysis/SKILL.md

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# SERP Analysis

Google Search Engine Results Page analysis through SandBase. Inspect live organic rankings, identify SERP features, discover related searches, and analyze autocomplete suggestions. Read [the API map](references/sandbase-api-map.md) before selecting a capability.

## Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with `sandbase_discover(q: "<provider and capability>")`; use its returned `name` in `sandbase_inspect(name: "<returned name>")`. Read `inputSchema`, pricing, and `execute_as`, then call `sandbase_run` using `execute_as.arguments.name` and schema-defined `arguments`. If a `run_id` is returned, poll `sandbase_run_get(run_id: "<returned run_id>")` within the task budget until `completed` or `failed`; report pending or failed runs without resubmitting them automatically.

## Operating principles

- SERP data is a snapshot — rankings change. Note the observation timestamp.
- Distinguish organic results from paid, featured snippets, and other SERP features.
- Specify country, language, and device for accurate results.
- Use related searches and autocomplete for query expansion research.
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