The Problem
Google's upcoming AI agent will recommend products and services autonomously. Brands that appear in the agent's source data get recommended; brands missing from source data get skipped. Teams need to monitor this new citation surface.
How Scavio Helps
- Daily automated monitoring of AI Overview citations as proxy for agent sources
- Track competitor vs own brand citation frequency
- Detect citation changes within 24 hours
- Programmatic access to AI Overview text and source links
- Baseline established before agent launch for day-one comparison
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "A SaaS company monitors 50 brand-relevant queries daily. Scavio search with include_ai_overview returns AI Overview citations for each query. An automated pipeline parses whether the brand appears in citations, tracks competitor mention frequency, and alerts on drops. Cost: 50 queries/day x $0.005 = $0.25/day. After Google AI agent launches, same monitoring catches agent-specific citation patterns.":
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 AEO/GEO teams, brand managers, SEO agencies managing enterprise clients, product marketing teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your google ai agent brand tracking 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.