The Problem
Content teams investing in AI-optimized content lack feedback on whether their pages are actually being cited by AI models, making it impossible to iterate on what works.
How Scavio Helps
- Research current AI citation patterns from live SERP data
- Track whether your pages appear in AI Overviews
- Identify content structures that earn AI citations
- Measure GEO optimization ROI with citation rate tracking
- Competitive analysis of who gets cited and why
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "AI citation optimization content strategy GEO 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 Content strategists, GEO specialists, and SEO teams optimizing for AI citations
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your seo comparison ai citation 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.