AEO Citation Monitoring with Search API

The Problem

Brands investing in AI Engine Optimization have no reliable way to measure whether their efforts are working. Manually checking ChatGPT, Perplexity, and Google AI Overviews for brand mentions is time-consuming, inconsistent, and statistically meaningless because LLM responses are probabilistic. A single spot-check tells you nothing about your actual visibility across AI-generated answers.

The Scavio Solution

Automate AEO measurement by querying Scavio's Google endpoint for your target keywords and parsing the AI Overview section of each response. Google AI Overviews are deterministic for a given query and location, making them the most repeatable AEO metric available. Run your keyword list daily, extract which domains appear in AI Overview citations, and track your citation share over time. Complement this with periodic LLM sampling (running the same prompt 20 times across ChatGPT, Claude, and Perplexity) to measure probabilistic mention rates. The combination of deterministic AI Overview tracking and statistical LLM sampling gives you a complete AEO picture.

Who It Is For

Marketing teams and SEO professionals measuring brand visibility in AI-generated answers and Google AI Overviews.

Key Benefits

• Deterministic AI Overview citation tracking via SERP API
• Daily automated keyword monitoring at scale
• Citation share trending over time
• Clear attribution of content changes to AEO improvements
• Complements probabilistic LLM mention sampling

Python Example

import requests, os, json
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
KEYWORDS = ['best project management tool', 'crm for small business', 'invoice software 2026']
MY_DOMAIN = 'example.com'

def check_aeo_citations(keywords: list) -> dict:
    results = {}
    for kw in keywords:
        resp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
            json={'platform': 'google', 'query': kw}, timeout=10)
        data = resp.json()
        ai_overview = data.get('ai_overview', {})
        sources = ai_overview.get('sources', [])
        cited = any(MY_DOMAIN in s.get('link', '') for s in sources)
        results[kw] = {'cited': cited, 'total_sources': len(sources)}
    return results

print(json.dumps(check_aeo_citations(KEYWORDS), indent=2))

JavaScript Example

const KEYWORDS = ['best project management tool', 'crm for small business'];
const MY_DOMAIN = 'example.com';

async function checkAeoCitations(keywords) {
  const results = {};
  for (const kw of keywords) {
    const resp = await fetch('https://api.scavio.dev/api/v1/search', {
      method: 'POST',
      headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' },
      body: JSON.stringify({ platform: 'google', query: kw })
    });
    const data = await resp.json();
    const sources = data.ai_overview?.sources || [];
    results[kw] = { cited: sources.some(s => s.link?.includes(MY_DOMAIN)), totalSources: sources.length };
  }
  return results;
}

Platforms Used