Solution

Detect Content Theft by Monitoring SERP Results for Copied Text

Content creators and publishers have no systematic way to detect when their articles, product descriptions, or blog posts are copied and published elsewhere. Stolen content can out

The Problem

Content creators and publishers have no systematic way to detect when their articles, product descriptions, or blog posts are copied and published elsewhere. Stolen content can outrank the original, diverting traffic and revenue.

The Scavio Solution

Use Scavio to search for unique phrases from your content and identify pages that have copied it. Automated weekly scans flag new instances of content theft with the offending URL and a comparison snippet.

Before

Content theft goes undetected for months. Copied pages sometimes outrank the original in search results, stealing organic traffic with no recourse.

After

Weekly automated scans detect new instances of content theft within days. Each detection includes the offending URL, copied snippet, and search position for immediate DMCA action.

Who It Is For

Content creators, publishers, and brand protection teams.

Key Benefits

  • Automated detection of copied content across the web
  • Identifies when stolen content outranks the original
  • Weekly scan reports with offending URLs and snippets
  • Enables rapid DMCA takedown with documented evidence

Python Example

Python
import requests

def detect_content_theft(unique_phrases: list, original_domain: str) -> list:
    theft_instances = []
    for phrase in unique_phrases:
        resp = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": SCAVIO_API_KEY, "Content-Type": "application/json"},
            json={"query": f'"{phrase}"', "platform": "google", "limit": 10}
        )
        results = resp.json().get("results", [])
        for r in results:
            if original_domain not in r.get("link", ""):
                theft_instances.append({
                    "phrase": phrase,
                    "offending_url": r["link"],
                    "offending_title": r["title"],
                    "position": r.get("position"),
                    "snippet": r.get("snippet", "")
                })
    return theft_instances

phrases = [
    "Our proprietary methodology combines real-time SERP analysis",
    "Unlike traditional scraping approaches that break on layout changes"
]
thefts = detect_content_theft(phrases, "scavio.dev")
for t in thefts:
    print(f"THEFT: '{t['phrase']}' found at {t['offending_url']} (position {t['position']})")

JavaScript Example

JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
fetch('https://api.scavio.dev/api/v1/search', {method: 'POST', headers: H, body: JSON.stringify({query: 'example', country_code: 'us'})}).then(r => r.json()).then(d => console.log(d.organic_results?.length + ' results'));

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Frequently Asked Questions

Content creators and publishers have no systematic way to detect when their articles, product descriptions, or blog posts are copied and published elsewhere. Stolen content can outrank the original, diverting traffic and revenue.

Use Scavio to search for unique phrases from your content and identify pages that have copied it. Automated weekly scans flag new instances of content theft with the offending URL and a comparison snippet.

Content creators, publishers, and brand protection teams.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to validate this solution in your workflow.

Detect Content Theft by Monitoring SERP Results for Copied Text

Use Scavio to search for unique phrases from your content and identify pages that have copied it. Automated weekly scans flag new instances of content theft with the offending URL