Semanal GEO Visibilidad Informe

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

API_KEY = "your_scavio_api_key"
BRAND_DOMAIN = "yourdomain.com"
KEYWORDS = [
    "best search API for AI agents",
    "SERP API comparison 2026",
    "structured search data API",
    "web search API for LLMs",
    "search API pricing comparison",
]

def check_geo_citation(keyword: str) -> dict:
    res = 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,
    )
    res.raise_for_status()
    data = res.json()
    aio = data.get("ai_overview") or {}
    aio_text = aio.get("text", "")
    aio_sources = aio.get("sources", [])
    cited = any(BRAND_DOMAIN in (s.get("link", "") or s.get("url", "")) for s in aio_sources)
    mentioned = BRAND_DOMAIN.split(".")[0].lower() in aio_text.lower()
    return {
        "keyword": keyword,
        "has_ai_overview": bool(aio_text),
        "brand_cited": cited,
        "brand_mentioned": mentioned,
        "aio_sources_count": len(aio_sources),
        "aio_preview": aio_text[:200],
    }

def run():
    date = datetime.utcnow().strftime("%Y-%m-%d")
    results = [check_geo_citation(kw) for kw in KEYWORDS]

    cited_count = sum(1 for r in results if r["brand_cited"])
    mentioned_count = sum(1 for r in results if r["brand_mentioned"])
    aio_count = sum(1 for r in results if r["has_ai_overview"])

    # Load previous week for comparison
    archive_dir = Path("geo_reports")
    archive_dir.mkdir(exist_ok=True)
    previous_files = sorted(archive_dir.glob("geo_*.json"))
    previous = {}
    if previous_files:
        prev_data = json.loads(previous_files[-1].read_text())
        previous = {r["keyword"]: r["brand_cited"] for r in prev_data.get("results", [])}

    gained = [r["keyword"] for r in results if r["brand_cited"] and not previous.get(r["keyword"])]
    lost = [kw for kw, was_cited in previous.items() if was_cited and not any(r["keyword"] == kw and r["brand_cited"] for r in results)]

    report = {
        "date": date,
        "keywords_checked": len(KEYWORDS),
        "ai_overviews_present": aio_count,
        "brand_cited": cited_count,
        "brand_mentioned": mentioned_count,
        "citation_rate": f"{cited_count}/{aio_count}" if aio_count else "0/0",
        "citations_gained": gained,
        "citations_lost": lost,
        "results": results,
    }

    archive_dir.joinpath(f"geo_{date}.json").write_text(json.dumps(report, indent=2))
    print(f"GEO Report {date}: {cited_count}/{aio_count} AI Overviews cite {BRAND_DOMAIN}")
    if gained:
        print(f"  Gained: {', '.join(gained)}")
    if lost:
        print(f"  Lost: {', '.join(lost)}")

if __name__ == "__main__":
    run()

const API_KEY = "your_scavio_api_key";
const BRAND_DOMAIN = "yourdomain.com";
const KEYWORDS = ["best search API for AI agents", "SERP API comparison 2026", "structured search data API"];

async function checkGeoCitation(keyword) {
  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 }),
  });
  if (!res.ok) throw new Error(`scavio ${res.status}`);
  const data = await res.json();
  const aio = data.ai_overview ?? {};
  const sources = aio.sources ?? [];
  const cited = sources.some((s) => (s.link ?? s.url ?? "").includes(BRAND_DOMAIN));
  return { keyword, hasAio: !!aio.text, cited, sourcesCount: sources.length };
}

const results = [];
for (const kw of KEYWORDS) results.push(await checkGeoCitation(kw));
const cited = results.filter((r) => r.cited).length;
const withAio = results.filter((r) => r.hasAio).length;
console.log(`GEO Report: ${cited}/${withAio} AI Overviews cite ${BRAND_DOMAIN}`);