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Tutorial

How to Monitor AI Overview Citations via API

Track which pages get cited in Google AI Overviews. Python and JavaScript examples using Scavio API for AEO/GEO monitoring.

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Monitor AI Overview citations by querying Google SERP with include_ai_overview enabled at $0.005/query. Track which of your pages get cited, which competitor pages appear, and when citation patterns change.

Prerequisites

  • Scavio API key
  • List of target keywords to monitor
  • Python 3.8+ or Node.js 18+

Walkthrough

Step 1: Check a keyword for AI Overview

Search with include_ai_overview to get citation data.

Python
import requests, os

H = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}

resp = requests.post('https://api.scavio.dev/api/v1/search',
    headers=H,
    json={'query': 'best project management tools 2026',
          'country_code': 'us', 'include_ai_overview': True})

data = resp.json()
aio = data.get('ai_overview', {})
if aio:
    print('AI Overview present')
    for source in aio.get('sources', []):
        print(f"  Cited: {source.get('domain', 'unknown')} - {source.get('title', '')}")
else:
    print('No AI Overview for this query')

Step 2: Track your domain citations

Filter citations to find your own domain.

Python
my_domain = 'mysite.com'
my_citations = [s for s in aio.get('sources', [])
    if my_domain in s.get('domain', '')]
competitor_citations = [s for s in aio.get('sources', [])
    if my_domain not in s.get('domain', '')]

print(f'My citations: {len(my_citations)}')
print(f'Competitor citations: {len(competitor_citations)}')

Python Example

Python
import requests, os, json
from datetime import date

H = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}

def monitor_aio(keywords, my_domain):
    report = {'date': date.today().isoformat(), 'keywords': []}
    for kw in keywords:
        data = requests.post('https://api.scavio.dev/api/v1/search',
            headers=H,
            json={'query': kw, 'country_code': 'us',
                  'include_ai_overview': True}).json()
        aio = data.get('ai_overview') or {}
        sources = aio.get('sources', [])
        report['keywords'].append({
            'keyword': kw,
            'has_aio': bool(aio),
            'my_citations': [s for s in sources if my_domain in s.get('domain', '')],
            'competitor_citations': [s['domain'] for s in sources if my_domain not in s.get('domain', '')],
        })
    cited = sum(1 for k in report['keywords'] if k['my_citations'])
    print(f"Cited in {cited}/{len(keywords)} AI Overviews")
    return report

report = monitor_aio(['best crm 2026', 'crm comparison'], 'mysite.com')

JavaScript Example

JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function monitorAIO(keywords, myDomain) {
  const report = [];
  for (const kw of keywords) {
    const r = await fetch('https://api.scavio.dev/api/v1/search', {
      method: 'POST', headers: H,
      body: JSON.stringify({query: kw, country_code: 'us', include_ai_overview: true})
    }).then(r => r.json());
    const aio = r.ai_overview || {};
    const sources = aio.sources || [];
    report.push({
      keyword: kw, hasAIO: !!r.ai_overview,
      myCitations: sources.filter(s => (s.domain || '').includes(myDomain)),
      competitors: sources.filter(s => !(s.domain || '').includes(myDomain)).map(s => s.domain),
    });
  }
  const cited = report.filter(r => r.myCitations.length > 0).length;
  console.log(`Cited in ${cited}/${keywords.length} AI Overviews`);
  return report;
}
monitorAIO(['best crm 2026'], 'mysite.com');

Expected Output

JSON
Daily AI Overview monitoring report showing which keywords trigger AIOs and which domains (yours and competitors) get cited.

Related Tutorials

  • How to Build a SERP-Grounded Content Brief with API

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

Scavio API key. List of target keywords to monitor. Python 3.8+ or Node.js 18+. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

Best Of

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Solution

Track AI Overview Citations for Agency Clients

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Glossary

AI Overview Citation Tracking

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Solution

AI Overview Citation Monitoring

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Use Case

Affordable AI Overview Tracking and Monitoring

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Start Building

Track which pages get cited in Google AI Overviews. Python and JavaScript examples using Scavio API for AEO/GEO monitoring.

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