Resumen
Generic cold correos electronicos obtener 2% reply rates. Este flujo de trabajo audits cada prospect's Google SERP presence antes de composing el correo electronico: their posicionamiento positions, AI Overview inclusion, Knowledge Graph estado, y competidor positioning. Cada correo electronico references el prospect's actual SERP situation, doubling o tripling reply rates.
Desencadenador
Diario antes de outreach, o on-demand per prospect batch.
Programación
Diario
Pasos del flujo de trabajo
Cargar Prospect List
Leer el prospect CSV con company names y dominios.
Ejecutar SERP Audit per Prospect
For cada prospect, search Google for their company nombre y marca palabras clave. Record posiciones organicas, AI Overview presence, y competidor posicionamientos.
Generar Personalization Hooks
Based on el SERP audit, generar correo electronico hooks: missing de AI Overview, competidor outranking them, no Knowledge Graph, etc.
Format Email Drafts
Combine el personalization hooks con correo electronico plantillas. Salida one draft per prospect.
Exportar for Sending
Escribir el personalized correos electronicos to un CSV o push directamente to el correo electronico sending herramienta.
Implementacion en Python
import requests, os, json
API_KEY = os.environ["SCAVIO_API_KEY"]
H = {"x-api-key": API_KEY, "Content-Type": "application/json"}
def serp_audit(company: str, domain: str) -> dict:
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers=H,
json={"query": company, "country_code": "us"},
timeout=10,
)
data = resp.json()
organic = data.get("organic_results", [])
positions = [r["position"] for r in organic if domain in r.get("link", "")]
top_result = organic[0] if organic else {}
return {
"company": company,
"domain": domain,
"positions": positions,
"has_aio": bool(data.get("ai_overview")),
"has_kg": bool(data.get("knowledge_graph")),
"top_competitor": top_result.get("link", "") if top_result and domain not in top_result.get("link", "") else None,
}
def generate_hook(audit: dict) -> str:
if not audit["has_aio"]:
return f"{audit['company']} is not appearing in Google AI Overviews for brand searches. Competitors are getting that visibility instead."
if audit["top_competitor"]:
return f"{audit['top_competitor'].split('/')[2]} currently outranks {audit['company']} for brand searches on Google."
if not audit["positions"]:
return f"{audit['company']} does not appear in the first page of Google results for its own brand name."
return f"{audit['company']} ranks at position {audit['positions'][0]} for brand searches."
prospects = [{"company": "Acme Corp", "domain": "acme.com"}]
for p in prospects:
audit = serp_audit(p["company"], p["domain"])
hook = generate_hook(audit)
print(f"To: {p['company']}\nHook: {hook}\n")Implementacion en JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function serpAudit(company, domain) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query:company, country_code:'us'})});
const d = await r.json();
const organic = d.organic_results||[];
const positions = organic.filter(r=>(r.link||'').includes(domain)).map(r=>r.position);
const top = organic[0];
return {company, domain, positions, hasAio:!!d.ai_overview, hasKg:!!d.knowledge_graph,
topCompetitor:top && !(top.link||'').includes(domain) ? top.link : null};
}
function generateHook(audit) {
if (!audit.hasAio) return audit.company+' is not appearing in Google AI Overviews for brand searches.';
if (audit.topCompetitor) return audit.topCompetitor.split('/')[2]+' currently outranks '+audit.company+' for brand searches.';
if (!audit.positions.length) return audit.company+' does not appear on the first page of Google for its own brand name.';
return audit.company+' ranks at position '+audit.positions[0]+' for brand searches.';
}
const prospects = [{company:'Acme Corp', domain:'acme.com'}];
for (const p of prospects) {
const audit = await serpAudit(p.company, p.domain);
console.log('To: '+p.company+'\nHook: '+generateHook(audit)+'\n');
}Plataformas utilizadas
Búsqueda web con grafo de conocimiento, PAA y resúmenes de IA