Scavio for Track AI Citations vs Google Rankings

The Problem

Teams publishing in 2026 see wildly different lag between Google rank and LLM citation — some pages get cited within a week, others take months. Without a paired tracking pipeline, AI visibility feels mysterious. Running Google SERP rank and AI citation prompts on a fixed schedule surfaces the actual delay per engine.

How Scavio Helps

• Daily SERP rank capture for every tracked keyword
• Weekly prompt study across ChatGPT, Perplexity, Google AI Overviews
• Per-engine AI citation delay metric
• Identify content clusters with fastest / slowest LLM adoption
• Exportable dashboards for execs

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "best [category] tool 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 SEO leads, GEO strategists, content teams at B2B SaaS, in-house AEO owners

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your track ai citations vs google rankings 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.