Semanal LLM Visibilidad Scan

import requests
import json
from datetime import datetime
from pathlib import Path

API_KEY = "your_scavio_api_key"
BRAND = "YourBrand"

def weekly_scan(keywords: list[str]) -> dict:
    results = []
    for kw in keywords:
        res = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": API_KEY},
            json={"platform": "google", "query": kw, "ai_overview": True},
            timeout=15,
        )
        res.raise_for_status()
        ai_text = res.json().get("ai_overview", {}).get("text", "")
        results.append({"keyword": kw, "cited": BRAND.lower() in ai_text.lower()})

    cited = sum(1 for r in results if r["cited"])
    geo_score = round(cited / len(results), 3) if results else 0
    date = datetime.utcnow().strftime("%Y-%m-%d")

    prev_path = Path("visibility_latest.json")
    prev_score = 0
    if prev_path.exists():
        prev = json.loads(prev_path.read_text())
        prev_score = prev.get("geo_score", 0)

    report = {
        "date": date,
        "brand": BRAND,
        "keywords": len(keywords),
        "citations": cited,
        "geo_score": geo_score,
        "prev_score": prev_score,
        "score_change": round(geo_score - prev_score, 3),
        "details": results,
    }
    Path(f"visibility_{date}.json").write_text(json.dumps(report, indent=2))
    prev_path.write_text(json.dumps(report, indent=2))
    print(f"GEO Score: {geo_score} (change: {report['score_change']:+.3f}), Citations: {cited}/{len(keywords)}")
    return report

weekly_scan(["best search api 2026", "serp api comparison", "ai agent search tool"])

const API_KEY = "your_scavio_api_key";
const BRAND = "YourBrand";

async function weeklyScan(keywords) {
  const results = [];
  for (const kw of keywords) {
    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: kw, ai_overview: true }),
    });
    const aiText = (await res.json()).ai_overview?.text ?? "";
    results.push({ keyword: kw, cited: aiText.toLowerCase().includes(BRAND.toLowerCase()) });
  }
  const cited = results.filter((r) => r.cited).length;
  console.log(`GEO Score: ${(cited / results.length).toFixed(3)}, Citations: ${cited}/${results.length}`);
  return results;
}

await weeklyScan(["best search api 2026", "serp api comparison"]);