Claude Code SEO Skill for Blog Automation

Claude Code skills can automate SEO content pipelines by combining search API data with LLM generation in a single CLI invocation. A custom skill reads signal sources, verifies competitor pricing against live search results, generates structured content, and outputs production-ready files. The skill replaces the manual research-write-verify cycle that takes 2-4 hours per batch.

What Claude Code Skills Are

Skills are reusable prompt templates stored in your project's settings. When invoked, they execute as part of Claude Code's agent loop with full access to file system, MCP tools, and bash. A SEO skill can read a keyword list, search each keyword via MCP, extract SERP features, and write blog post files — all in one command.

The SEO Skill Architecture

# Research phase — runs inside the skill via MCP search
import requests, os, json

API_KEY = os.environ["SCAVIO_API_KEY"]

def research_keyword(keyword):
    resp = requests.post("https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY},
        json={"platform": "google", "query": keyword,
              "ai_overview": True})
    data = resp.json()
    return {
        "keyword": keyword,
        "organic_count": len(data.get("organic", [])),
        "has_aio": bool(data.get("ai_overview")),
        "paa": [q.get("question", "")
                for q in data.get("people_also_ask", [])[:5]],
        "top_domains": list(set(
            r.get("domain", "")
            for r in data.get("organic", [])[:5]
        )),
    }

keywords = ["best SERP API 2026", "web scraping API alternative"]
for kw in keywords:
    r = research_keyword(kw)
    print(f"{kw}: {r['organic_count']} results, AIO: {r['has_aio']}")
    print(f"  PAA: {r['paa'][:3]}")

Verification Before Generation

The critical step is verifying every external claim before it enters content. The skill searches for competitor pricing pages, extracts current numbers, and uses those verified figures in generated content. This eliminates the biggest risk of AI-generated SEO content: confidently stating wrong prices, deprecated features, or outdated version numbers.

Output: Production-Ready Files

The skill writes TypeScript data entries or TSX blog components directly to the codebase. Each file follows the project's schema and passes TypeScript compilation. The skill runs the build after writing to catch any type errors before committing.

Limitations

Skills run in Claude Code's context window, which limits batch size. A single skill invocation handles 20-30 pages well; beyond that, context compression may lose early entries. For larger batches, split into multiple skill invocations or use background agents for parallel processing. The skill also cannot verify claims that require authentication (gated pricing pages, private dashboards).