SEO & AI Bot Optimizer

Audit and optimize website codebases for search engines and AI systems.

Repo Sync Before Edits (mandatory)

Before modifying any project files, sync the current branch with remote:

branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If the working tree is not clean, stash first, sync, then restore:

git stash push -u -m "pre-sync"
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin && git pull --rebase origin "$branch"
git stash pop

If origin is missing, pull is unavailable, or rebase/stash conflicts occur, stop and ask the user before continuing.

Prerequisites

Before starting the SEO audit, ensure the following:

• Environment: The project must be managed by a git repository.
• Tools: Python 3.x must be installed and available in the path.
• Audit Script: scripts/audit_seo.py (shipped with this skill) is invoked against the audited project: python scripts/audit_seo.py <project-root>.
• Access: You must have write access to the project files and permission to create new files (robots.txt, llms.txt, etc.).

Quick Reference

Consult these reference files as needed during the workflow:

• references/workflow-detail.md — Detailed checklists, templates, and implementation steps
• references/technical-seo.md — Full SEO checklist and best practices
• references/framework-configs.md — Framework-specific configuration
• references/ai-bot-guide.md — AI crawler directives, llms.txt format, JSON-LD templates

Environment Check

This skill has two modes of operation:

With Subagent Architecture (Recommended): If the Agent tool is available in your environment, the audit runs via a 4-phase subagent workflow for maximum accuracy and depth. See references/subagent-architecture.md.

Without Subagent Tool (Fallback): If Agent is not available, the skill runs a complete audit in a single conversation. The end result (SEO audit report) is the same.

Important

• Audit first, present findings, then propose a plan — never modify files without user approval
• Safety First: Always show a diff and get explicit confirmation before writing any file change
• Fetch latest best practices via web search during each audit to supplement embedded knowledge

Workflow

1. Detect -- Identify project framework and scan for relevant files
2. Audit -- Run automated scan + manual review across 4 categories
3. Research -- Web search for latest SEO/AI bot best practices
4. Report -- Present findings grouped by severity
5. Plan -- Propose prioritized improvements for user approval
6. Implement -- Apply approved changes following the Safety Protocol
7. Validate -- Re-check modified files

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Step 1: Detect Project Type

Run the audit script to detect framework and scan files:

python scripts/audit_seo.py <project-root>

If the script reports "No HTML/template files found," inform the user: this skill is designed for web frontends with HTML output.

Step 2: Audit

The audit script checks per-file issues and project-level issues. After running the script, perform a manual review for items requiring human judgment (content quality, links, E-E-A-T).

For the full manual review checklist, see references/workflow-detail.md.

Step 3: Research Latest Best Practices

Use web search to check for updates (SEO best practices, AI bot directives, llms.txt spec, algorithm updates). Compare findings with embedded knowledge in references/.

Step 4: Report

Present the audit report grouping findings by severity (Critical, Warning, Info) and project-level findings (robots.txt, sitemap, llms.txt, JSON-LD).

Step 5: Plan

Present a prioritized improvement plan using the template in references/workflow-detail.md.

Ask the user: "Which improvements should I implement? You can approve all, select specific items, or modify the plan."

Do NOT proceed without explicit approval.

Step 6: Implement

Apply approved changes following the Safety First protocol:

1. Show Diff: For every file change, generate and show a clear diff or summary.
2. Confirm: Request explicit user confirmation before writing each file (or batch).

For detailed implementation instructions per category (Technical SEO, robots.txt, llms.txt, JSON-LD, sitemaps), see references/workflow-detail.md.

Step 7: Validate

After implementing changes, re-run the audit script on modified files to verify critical issues are resolved and check for regressions.

Step Completion Reports

After each step, emit a ◆ status block. For templates and per-step check lists, see references/step-reports.md.

Acceptance Criteria

A run passes when the audit report is complete, the improvement plan was user-approved, the Safety Protocol (diff + confirmation) was followed, and validation shows critical issues are resolved.

Expected Output

After a full run, the agent should produce:

1. Audit Report: A structured markdown report grouping findings by severity.
2. Implementation: Modified or new files (robots.txt, llms.txt, sitemap.xml, JSON-LD) with confirmed changes.
3. Validation Report: A post-fix verification showing critical issues reduced to 0.

For a concrete example of the audit report output, see references/workflow-detail.md.