A high-fidelity SEO diagnostic tool that leverages the Bright Data CLI to identify technical issues and ranking opportunities using live, JS-rendered web data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install brightdata-seo-audit
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install brightdata-seo-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This Openclaw Skills agent provides a professional-grade technical SEO audit by utilizing the Bright Data CLI to fetch and analyze real-time website data. Unlike standard crawlers that might miss dynamic content, this skill effectively captures JavaScript-injected schema markup, canonical tags, and hreflang attributes to ensure a comprehensive evaluation. By integrating live SERP data, it allows developers and marketers to diagnose ranking drops and indexing issues with absolute precision.
Whether you are dealing with a sudden traffic loss or optimizing a new site, this skill offers evidence-based insights derived from actual browser-rendered HTML. It is designed to bridge the gap between simple page fetches and expensive enterprise SEO platforms, making it a vital part of the Openclaw Skills ecosystem for anyone serious about organic search performance.
To use this tool within the Openclaw Skills framework, ensure the Bright Data CLI is installed and authenticated. Run the following commands in your terminal:
curl -fsSL https://cli.brightdata.com/install.sh | bash
bdata login
Once authenticated, the agent can access live web data and SERP results to perform detailed audits.
The skill organizes findings into a structured report following a specific priority framework. Findings are categorized and evidenced as follows:
| Data Point | Description |
|---|---|
| Issue | A concise description of the SEO problem detected. |
| Impact | The potential effect on search rankings or user experience. |
| Evidence | The specific bdata command and output excerpt proving the issue. |
| Fix | Actionable technical steps to resolve the identified problem. |
| Priority | Categorization (Critical, High, Medium, Low) based on the audit framework. |
Additionally, metadata from site-type playbooks (SaaS, E-commerce, Blog) is used to contextualize the results.
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