Resumen
Marketing teams make marca claims ese drift de reality. 'We son el #1 rated...' cuando you son actually #3. Este flujo de trabajo valida marca claims by busqueda Google for posicionamientos, checking Amazon for producto ratings versus competidores, y scanning Reddit for authentic cliente sentiment. Semanal validacion mantiene your marketing honest y defensible.
Desencadenador
Semanal on Friday 10 AM, antes de semanal marketing resena.
Programación
Semanal
Pasos del flujo de trabajo
Define Brand Claims to Validar
List el claims: posicionamiento positions, rating claims, mercado share assertions, y caracteristica comparisons.
Search Google for Posicionamiento Verification
For cada posicionamiento claim, search el relevante consulta y verificar if your marca appears at el claimed position.
Verificar Amazon Ratings vs Competidores
Search Amazon for your producto categoria. Comparar your rating y resena conteo contra top competidores.
Scan Reddit for Sentiment
Search Reddit for your nombre de marca. Analizar si community sentiment aligns con your marketing claims.
Generar Validacion Informe
Salida un claim-by-claim informe: VERIFIED, NEEDS UPDATE, o FALSE con supporting evidence.
Implementacion en Python
import requests, os, json
API_KEY = os.environ["SCAVIO_API_KEY"]
H = {"x-api-key": API_KEY, "Content-Type": "application/json"}
BRAND = "Acme Software"
CLAIMS = [
{"claim": "Top 5 CRM for startups", "query": "best crm for startups 2026", "platform": "google", "expected_rank": 5},
{"claim": "4.8 star rating on Amazon", "query": "Acme CRM software", "platform": "amazon", "expected_rating": 4.8},
{"claim": "Recommended on Reddit", "query": "Acme Software review reddit", "platform": "reddit", "expected_sentiment": "positive"},
]
def search(query: str, platform: str = "google") -> dict:
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers=H,
json={"query": query, "platform": platform, "country_code": "us"},
timeout=15,
)
return resp.json()
def validate_ranking(data: dict, brand: str, expected_rank: int) -> dict:
results = data.get("organic_results", [])
for i, r in enumerate(results):
if brand.lower() in r.get("title", "").lower() or brand.lower() in r.get("link", "").lower():
actual_rank = i + 1
return {"status": "VERIFIED" if actual_rank <= expected_rank else "NEEDS UPDATE", "actual_rank": actual_rank}
return {"status": "FALSE", "actual_rank": "not found"}
def validate_rating(data: dict, expected_rating: float) -> dict:
results = data.get("organic_results", [])
if results and results[0].get("rating"):
actual = results[0]["rating"]
return {"status": "VERIFIED" if actual >= expected_rating else "NEEDS UPDATE", "actual_rating": actual}
return {"status": "UNVERIFIABLE", "actual_rating": "not found"}
def validate_claims():
report = []
for claim in CLAIMS:
data = search(claim["query"], claim.get("platform", "google"))
if "expected_rank" in claim:
result = validate_ranking(data, BRAND, claim["expected_rank"])
elif "expected_rating" in claim:
result = validate_rating(data, claim["expected_rating"])
else:
result = {"status": "MANUAL REVIEW", "data_fetched": True}
result["claim"] = claim["claim"]
report.append(result)
print(f"{claim['claim']}: {result['status']}")
return report
validate_claims()Implementacion en JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const BRAND = 'Acme Software';
const CLAIMS = [
{claim:'Top 5 CRM for startups', query:'best crm for startups 2026', platform:'google', expectedRank:5},
{claim:'4.8 star rating on Amazon', query:'Acme CRM software', platform:'amazon', expectedRating:4.8},
{claim:'Recommended on Reddit', query:'Acme Software review reddit', platform:'reddit', expectedSentiment:'positive'},
];
async function search(query, platform='google') {
const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query, platform, country_code:'us'})});
return r.json();
}
function validateRanking(data, brand, expectedRank) {
const results = data.organic_results || [];
for (let i=0; i<results.length; i++) {
if ((results[i].title||'').toLowerCase().includes(brand.toLowerCase())) {
const actual = i+1;
return {status:actual<=expectedRank?'VERIFIED':'NEEDS UPDATE', actualRank:actual};
}
}
return {status:'FALSE', actualRank:'not found'};
}
function validateRating(data, expectedRating) {
const results = data.organic_results || [];
if (results[0]?.rating) {
const actual = results[0].rating;
return {status:actual>=expectedRating?'VERIFIED':'NEEDS UPDATE', actualRating:actual};
}
return {status:'UNVERIFIABLE', actualRating:'not found'};
}
async function validateClaims() {
for (const claim of CLAIMS) {
const data = await search(claim.query, claim.platform||'google');
let result;
if (claim.expectedRank) result = validateRanking(data, BRAND, claim.expectedRank);
else if (claim.expectedRating) result = validateRating(data, claim.expectedRating);
else result = {status:'MANUAL REVIEW', dataFetched:true};
console.log(claim.claim+': '+result.status);
}
}
await validateClaims();Plataformas utilizadas
Búsqueda web con grafo de conocimiento, PAA y resúmenes de IA
Amazon
Búsqueda de productos con precios, calificaciones y reseñas
Comunidad, publicaciones y comentarios en hilos de cualquier subreddit