Generate data-backed content briefs by analyzing Google SERP results, competitor content, keyword intent, and audience questions. Produces writer-ready briefs with target queries, required subtopics, recommended format, word count, and competitive differentiation angles.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add sandbaseai/sandbase-skills --skill seo-content-brief --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: seo-content-brief
description: "Generate data-backed content briefs by analyzing Google SERP results, competitor content, keyword intent, and audience questions. Produces writer-ready briefs with target queries, required subtopics, recommended format, word count, and competitive differentiation angles."
---
# SEO Content Brief
Generate data-backed content briefs by analyzing Google SERP results, competitor content, keyword intent, and audience questions. Produces writer-ready briefs with target queries, required subtopics, recommended format, word count, and competitive differentiation angles. Read [the API map](references/sandbase-api-map.md) before selecting a capability.
## Call SandBase capabilities
For every selected tool, call `sandbase_describe_tool` first and use only arguments in its current input schema. Then call `sandbase_call_tool` with the exact `tool_name`.
## Available Tools
- `dataforseo_v3_serp_google_organic_live_advanced`
- `dataforseo_v3_serp_google_related_searches_live_advanced`
- `context_dev_scrape_markdown`
- `exa_search`
- `tavily_search`
## Workflow
1. Understand the user's research question, target, and context.
2. Call `sandbase_describe_tool` for each selected tool to confirm parameter schema.
3. Call `sandbase_call_tool` with the exact tool_name and schema-defined arguments.
4. Synthesize findings into a clear, evidence-backed answer.
5. Cite sources, note evidence gaps, and separate observations from interpretations.
## Guidelines
- Always call `sandbase_describe_tool` before using any capability.
- Cite sources and preserve attribution (URLs, usernames, dates, metrics).
- Separate factual observations from analysis and recommendations.
- If data is unavailable, note the gap and continue with available evidence.
- Read-only research only. Never take actions on platforms.
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