Les e-mails froids génériques sont ignorés. Les e-mails personnalisés qui font référence à la présence en ligne réelle d'un prospect obtiennent des réponses. Ce tutoriel construit un pipeline d'audit SERP qui recherche l'entreprise de chaque prospect, trouve leurs pages les mieux classées, identifie les lacunes de contenu et génère des lignes d'ouverture d'e-mail personnalisées. Chaque audit coûte 2 à 3 requêtes de recherche ($0,010-0,015) et produit des informations exploitables pour votre e-mail.
Prérequis
- Python 3.9+ installé
- bibliothèque requests installée
- Une clé API Scavio depuis scavio.dev
- Une liste de noms d'entreprises prospects ou de domaines
Parcours
Étape 1: Définissez votre liste de prospects
Chargez les entreprises prospects à auditer. Chacune reçoit une mini session de recherche SERP.
Python
prospects = [
{'name': 'Acme SaaS', 'domain': 'acmesaas.com', 'contact': '[email protected]'},
{'name': 'TechFlow', 'domain': 'techflow.io', 'contact': '[email protected]'},
{'name': 'DataSync Pro', 'domain': 'datasyncpro.com', 'contact': '[email protected]'},
]
queries_per_prospect = 3 # brand, competitors, content
total_cost = len(prospects) * queries_per_prospect * 0.005
print(f'{len(prospects)} prospects x {queries_per_prospect} queries each')
print(f'Estimated cost: ${total_cost:.3f}')Étape 2: Lancez l'audit SERP pour chaque prospect
Recherchez le nom de l'entreprise, ses concurrents et son contenu pour établir un profil.
Python
import requests, os, time
SCAVIO_KEY = os.environ['SCAVIO_API_KEY']
def search(query: str) -> list:
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': SCAVIO_KEY, 'Content-Type': 'application/json'},
json={'query': query, 'country_code': 'us', 'num_results': 10})
return resp.json().get('organic_results', [])
def audit_prospect(prospect: dict) -> dict:
name = prospect['name']
domain = prospect['domain']
# Query 1: Brand presence
brand_results = search(f'{name} reviews')
brand_mentions = len([r for r in brand_results if domain in r.get('link', '')])
# Query 2: Competitor landscape
competitor_results = search(f'{name} alternatives competitors 2026')
competitors = [r['title'].split(' - ')[0] for r in competitor_results[:3]
if domain not in r.get('link', '')]
# Query 3: Content presence
content_results = search(f'site:{domain}')
top_pages = [r['title'] for r in content_results[:5]]
time.sleep(0.3)
return {
'prospect': name,
'brand_mentions_in_top10': brand_mentions,
'competitors': competitors[:3],
'top_pages': top_pages,
'has_blog': any('blog' in r.get('link', '').lower() for r in content_results)
}
# Audit first prospect
audit = audit_prospect(prospects[0])
for key, val in audit.items():
print(f' {key}: {val}')Étape 3: Générez des lignes d'ouverture d'e-mail personnalisées
Utilisez les données d'audit pour rédiger une ligne d'ouverture personnalisée pour chaque prospect. Référencez leur contenu réel et leur position concurrentielle.
Python
def generate_opening(audit: dict) -> str:
name = audit['prospect']
templates = []
if audit['has_blog']:
page = audit['top_pages'][0] if audit['top_pages'] else ''
templates.append(
f'I noticed {name} has been publishing content like "{page[:40]}" -- '
f'curious if you are tracking how that ranks against {audit["competitors"][0] if audit["competitors"] else "competitors"}.'
)
if audit['brand_mentions_in_top10'] < 3:
templates.append(
f'{name} only appears {audit["brand_mentions_in_top10"]} times in the top 10 '
f'for brand searches. That is a quick win we could help with.'
)
if audit['competitors']:
templates.append(
f'Noticed {audit["competitors"][0]} is showing up in "{name} alternatives" '
f'searches -- are you monitoring that?'
)
return templates[0] if templates else f'Researched {name} and found some ranking opportunities.'
# Generate for all prospects
for p in prospects:
audit = audit_prospect(p)
opening = generate_opening(audit)
print(f'To: {p["contact"]}')
print(f'Opening: {opening}')
print()Exemple Python
Python
import requests, os, time
SCAVIO_KEY = os.environ['SCAVIO_API_KEY']
def search(query):
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': SCAVIO_KEY, 'Content-Type': 'application/json'},
json={'query': query, 'country_code': 'us', 'num_results': 10})
return resp.json().get('organic_results', [])
def audit(name, domain):
brand = search(f'{name} reviews')
competitors = search(f'{name} alternatives 2026')
content = search(f'site:{domain}')
return {
'mentions': len([r for r in brand if domain in r.get('link', '')]),
'competitors': [r['title'].split(' - ')[0] for r in competitors[:3]],
'top_pages': [r['title'] for r in content[:3]]
}
result = audit('Acme SaaS', 'acmesaas.com')
print(f'Brand mentions: {result["mentions"]}')
print(f'Competitors: {", ".join(result["competitors"])}')Exemple JavaScript
JavaScript
const SCAVIO_KEY = process.env.SCAVIO_API_KEY;
async function search(query) {
const resp = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: { 'x-api-key': SCAVIO_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ query, country_code: 'us', num_results: 10 })
});
return (await resp.json()).organic_results || [];
}
async function audit(name, domain) {
const brand = await search(`${name} reviews`);
const competitors = await search(`${name} alternatives 2026`);
return {
mentions: brand.filter(r => r.link?.includes(domain)).length,
competitors: competitors.slice(0, 3).map(r => r.title.split(' - ')[0])
};
}
audit('Acme SaaS', 'acmesaas.com').then(r => {
console.log(`Mentions: ${r.mentions}`);
console.log(`Competitors: ${r.competitors.join(', ')}`);
});Sortie attendue
JSON
3 prospects x 3 queries each
Estimated cost: $0.045
prospect: Acme SaaS
brand_mentions_in_top10: 2
competitors: ['RivalCRM', 'BetterSaaS', 'CloudTools']
top_pages: ['Acme SaaS - All-in-One CRM', 'Acme Blog: Sales Tips']
has_blog: True
To: jan[email protected]
Opening: I noticed Acme SaaS has been publishing content like "Acme Blog: Sales Tips" -- curious if you are tracking how that ranks against RivalCRM.