The Problem
SEO workflows require switching between multiple tool dashboards, manual data exports, and copy-paste into content documents, wasting hours per week on mechanical tasks that could be automated.
How Scavio Helps
- MCP integration gives Claude Code live SERP access
- Natural language SEO research from terminal
- AI Overview and Knowledge Graph data for content planning
- Automated rank checking and competitor analysis
- Free 250 credits/month covers weekly SEO research
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "Claude Code SEO automation MCP search API content 2026":
Python
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 managers using Claude Code, technical marketers, and content teams automating SEO research workflows
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude code seo automation solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.