The Problem
Google AI Overviews now appear on 40%+ of informational queries, and brands have no reliable way to track whether they are being cited. Google Search Console does not report AI Overview citations. Manual checking is impractical across thousands of keywords. Marketing teams are flying blind on a channel that increasingly determines brand visibility for informational queries.
The Scavio Solution
Build an automated citation monitoring system that queries your target keywords through Scavio's Google endpoint and parses the AI Overview response for brand mentions and linked domains. Schedule daily or weekly runs to track citation trends over time. Alert when citations appear or disappear for high-value keywords.
Before
Before: A marketing team manually searched 30 branded keywords per week in an incognito browser, taking screenshots and storing them in a Google Drive folder. No trend data, no automation, and 10+ hours/week of analyst time.
After
After: A daily cron job checks 200 keywords in 15 minutes for $1/day ($30/mo). Citation data feeds into a dashboard showing daily citation counts, new citations, lost citations, and competitor citation share.
Who It Is For
Marketing teams, SEO managers, and brand strategists who need to track their visibility in AI-generated search results. Anyone wondering whether their content appears in Google AI Overviews.
Key Benefits
- Track AI Overview citations across 200+ keywords daily for $30/mo
- Detect new and lost citations within 24 hours automatically
- Measure citation share vs competitors with the same keyword set
- Replace 40+ hours/mo of manual monitoring with automated dashboards
- Historical trend data enables correlation with content changes
Python Example
import requests
import json
from datetime import date
API_KEY = "your_scavio_api_key"
def check_citation(keyword: str, brand: str) -> dict:
r = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "google", "query": keyword, "ai_overview": True},
timeout=15,
)
data = r.json()
ai_text = json.dumps(data.get("ai_overview", {}))
return {
"date": str(date.today()),
"keyword": keyword,
"ai_overview_present": bool(data.get("ai_overview")),
"brand_cited": brand.lower() in ai_text.lower(),
"citation_snippet": ai_text[:200] if brand.lower() in ai_text.lower() else None,
}
keywords = ["best api for ai agents", "search api comparison 2026"]
for kw in keywords:
result = check_citation(kw, "scavio")
print(f"{result["keyword"]}: cited={result["brand_cited"]}")JavaScript Example
const API_KEY = "your_scavio_api_key";
async function checkCitation(keyword, brand) {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform: "google", query: keyword, ai_overview: true }),
});
const data = await res.json();
const aiText = JSON.stringify(data.ai_overview || {});
return {
date: new Date().toISOString().split("T")[0],
keyword,
aiOverviewPresent: !!data.ai_overview,
brandCited: aiText.toLowerCase().includes(brand.toLowerCase()),
};
}
const keywords = ["best api for ai agents", "search api comparison 2026"];
for (const kw of keywords) {
const r = await checkCitation(kw, "scavio");
console.log(`${r.keyword}: cited=${r.brandCited}`);
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews