The Problem
Brands need to know if LLMs mention them in relevant queries, but manual testing is slow (5-10 queries/hour), inconsistent, and cannot provide trend data. No automated solution for tracking AI-generated brand mentions at scale.
How Scavio Helps
- 100 keywords scanned weekly for $0.50
- Replaces 2+ hours of manual prompt testing per week
- GEO visibility score tracks trends over time
- Automated alerts on citation gains and losses
- Historical data enables competitive AI visibility analysis
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "automated llm visibility tracking ai brand monitoring scan 2026":
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 Marketing teams tracking AI brand visibility, SEO agencies reporting GEO metrics, and brand managers monitoring competitive AI presence
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your automated llm visibility tracking 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.