Scavio for Agentic Traffic Logging

The Problem

Google Analytics ignores LLM agent traffic and most analytics tools bucket it as bot traffic. Teams have no idea which pages answer engines actually fetch, how often, or what queries triggered the fetch. AEO optimization is flying blind without agent visit data joined to citation data.

How Scavio Helps

• Identify which pages answer-engine crawlers actually load
• Correlate agent visits with citation queries from Scavio ask
• Detect new LLM user agents as engines evolve
• Spot referral patterns between citation and visit
• Normalized event log fits any warehouse or dashboard

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "user-agent perplexitybot on /blog/serp-api":

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 specialists, site owners, content strategists, technical SEO

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your agentic traffic logging 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.