Workflow

Daily AEO/GEO Citation Monitoring

Track whether your content is cited in AI-generated answers from Google AI Overviews. Automated daily monitoring with trend alerts.

Overview

Monitors target keywords daily for AI Overview citations, tracks citation frequency over time, and alerts when citation rates change significantly. Provides data for AEO/GEO optimization decisions.

Trigger

Daily at 7 AM UTC via cron

Schedule

Daily at 7 AM UTC

Workflow Steps

1

Load keyword list

Read target keywords from a CSV or database. Each keyword has a target domain to track.

2

Query Google for each keyword

Send each keyword to Scavio's Google search endpoint. Extract AI Overview content, featured snippet, and organic positions.

3

Check for citations

Parse AI Overview and featured snippet text for mentions of the target domain or brand name.

4

Store results

Append citation data (keyword, date, cited_in_ai_overview, cited_in_featured, organic_position) to a time-series store.

5

Calculate trends

Compare today's citation rate to the 7-day rolling average. Flag keywords where citation rate dropped more than 20%.

6

Send alerts

Post significant changes to Slack with keyword, direction of change, and current vs historical citation rate.

Python Implementation

Python
import requests, os, json
from datetime import date

H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}
BRAND = "scavio"
KEYWORDS = ["best search api 2026", "serp api for agents", "multi-platform search api"]

results = []
for kw in KEYWORDS:
    r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
        json={"platform": "google", "query": kw}, timeout=15).json()
    ai = r.get("aiOverview", "")
    featured = r.get("featuredSnippet", {}).get("text", "")
    organic = r.get("organic", [])
    pos = next((i+1 for i, o in enumerate(organic)
        if BRAND in o.get("link", "").lower()), None)
    results.append({
        "keyword": kw, "date": str(date.today()),
        "ai_overview_cited": BRAND in ai.lower() if ai else False,
        "featured_cited": BRAND in featured.lower() if featured else False,
        "organic_position": pos
    })

for r in results:
    print(json.dumps(r))

JavaScript Implementation

JavaScript
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
const BRAND = "scavio";
const KEYWORDS = ["best search api 2026", "serp api for agents"];

for (const kw of KEYWORDS) {
  const r = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST", headers: H,
    body: JSON.stringify({platform: "google", query: kw})
  }).then(r => r.json());
  const ai = r.aiOverview || "";
  const featured = r.featuredSnippet?.text || "";
  const pos = (r.organic || []).findIndex(o =>
    o.link?.toLowerCase().includes(BRAND)) + 1;
  console.log(JSON.stringify({
    keyword: kw, aiCited: ai.toLowerCase().includes(BRAND),
    featuredCited: featured.toLowerCase().includes(BRAND),
    organicPosition: pos || null
  }));
}

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Frequently Asked Questions

Monitors target keywords daily for AI Overview citations, tracks citation frequency over time, and alerts when citation rates change significantly. Provides data for AEO/GEO optimization decisions.

This workflow uses a daily at 7 am utc via cron. Daily at 7 AM UTC.

This workflow uses the following Scavio platforms: google. Each platform is called via the same unified API endpoint.

Yes. Scavio's free tier includes 500 credits per month with no credit card required. That is enough to test and validate this workflow before scaling it.

Daily AEO/GEO Citation Monitoring

Track whether your content is cited in AI-generated answers from Google AI Overviews. Automated daily monitoring with trend alerts.