Scavio for Claude Code SEO Content Automation Skill

The Problem

SEO content created by LLMs without search grounding contains stale pricing, deprecated features, and invented statistics. Manual fact-checking every claim is time-consuming. Claude Code skills can automate the research-write-verify loop.

How Scavio Helps

• Automate keyword research to published article pipeline
• Every claim grounded in live search data
• MCP integration feeds real-time data into Claude Code workflows
• Verify competitor pricing before publishing
• Generate 10-25 data-rich articles per session

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "An SEO team builds a Claude Code skill that takes a keyword, searches Google for current competitor content and pricing, searches Reddit for community pain points, generates a comparison blog post with verified data, and outputs a publish-ready .tsx file. 5 searches per article at $0.025, 20 articles per batch = $0.50 in search costs for a full content batch.":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for SEO professionals using Claude Code, content teams automating blog production, technical writers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude code seo content automation skill solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.