Beginner to Pro Guide: Using the Agentic SEO Claude Skill

1. What this actually does

You give one command:

→ “run a full SEO audit on mysite.com”

The system:

• Crawls your site
• Runs 17 Python scripts
• Analyzes pages using an LLM
• Returns a scored report across 8 categories

Then the real value starts:

You ask follow-ups based on your data.

2. Setup in 3 steps

Open your terminal inside your IDE.

Run:

1. Clone repo git clone https://github.com/Bhanunamikaze/Agentic-SEO-Skill.git
2. Move into folder cd Agentic-SEO-Skill
3. Install everything ./install.sh –target all –force

Restart your IDE.

Done.

3. First run

Inside Claude Code or your AI agent:

Type:

→ run a full SEO audit on yourdomain.com

Wait for processing.

What happens:

• Site gets scanned
• Scripts run in sequence
• Data gets analyzed
• HTML report is generated

4. Understanding the report

You will get:

→ Overall SEO score

→ Radar chart across categories

→ List of issues

→ Priority fixes

Each issue includes:

• Description
• Impact level
• Suggested fix

Also:

✦ Confidence labels

↳ Confirmed

↳ Likely

↳ Hypothesis

This tells you what is reliable vs estimated.

5. The real power, asking questions

Most tools stop at reports.

This starts there.

Ask:

→ “Which issues should I fix first?”

→ “Why is this schema issue important?”

→ “What happens if I fix Core Web Vitals?”

The system answers using your site data.

Not generic SEO advice.

6. What it checks (breakdown)

Core Web Vitals

→ LCP, INP, CLS via PageSpeed

Technical SEO

→ robots.txt, redirects, headers

Content and E E A T

→ readability, thin pages, AI signals

Schema

→ detects outdated markup

Entity SEO

→ knowledge graph, sameAs, Wikidata

Hreflang

→ language mapping issues

AI Search readiness

→ snippet targeting, passage clarity

7. How to use it properly

Do not run once and leave.

Use this flow:

1. Run audit
2. Fix top 3 issues
3. Re-run audit
4. Compare score
5. Ask follow-up questions

Repeat weekly.

8. Practical workflow

Example:

You run audit → get 12 issues

Now:

→ Ask “Top 3 fixes for fastest ranking improvement”

→ Fix those

→ Re-run

Then:

→ Ask “What still limits growth?”

This creates a loop.

9. What makes this different

Normal SEO tools:

• Static reports
• No reasoning
• No prioritization logic

This system:

• Thinks with your data
• Explains decisions
• Guides next steps

10. How it works internally (simple)

Main controller:

→ SKILL.md

This controls:

• 13 sub-agents
• 17 scripts
• Reference knowledge

Flow:

1. Crawl data
2. Run scripts
3. Analyze via LLM
4. Score results
5. Generate report

11. Extend this system

Same pattern works for:

• Security audits
• Accessibility checks
• Performance analysis
• Internal tooling

Structure:

→ One orchestrator

→ Multiple specialist agents

→ Tools + data

12. Common mistakes

Do not:

• Ignore confidence labels
• Fix everything at once
• Treat all issues equally

Do:

• Focus on high impact
• Validate fixes
• Re-run audits

13. Final takeaway

You are not using an SEO tool.

You are working with:

→ an AI agent

→ with tools

→ with structured thinking

If you use it properly:

You replace:

• manual audits
• guesswork
• random fixes

With:

• clear priorities
• data-backed decisions
• faster iteration