The Problem
GEO (Generative Engine Optimization) is different from SEO because LLMs select sources based on content depth, structure, and semantic relevance rather than traditional ranking signals. Without analyzing what currently gets cited, optimization is guesswork.
How Scavio Helps
- Identifies citation-winning content patterns for your niche
- Compares your content structure to cited competitors
- AI Overview citation data is structured and parseable
- Actionable optimization suggestions per target keyword
- Tracks citation changes after content updates
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "For keyword 'best crm for startups': search Google with AI Overview, extract cited URLs, fetch each cited page via extract endpoint, analyze common patterns (FAQ sections, comparison tables, pricing data). Output: 'Pages cited by AI Overview for this keyword all include pricing comparison tables and FAQ sections. Your page lacks both.'":
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 Content strategists, SEO teams adapting to AI search, AEO consultants, marketing agencies
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your geo content optimization agent 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.