Solution

Build a One-Page Audit Pipeline for Cold Outreach

Generic cold emails achieve 2-3% reply rates. Prospects ignore template outreach because it shows no understanding of their business. Personalized one-page audits get 15-20% reply

The Problem

Generic cold emails achieve 2-3% reply rates. Prospects ignore template outreach because it shows no understanding of their business. Personalized one-page audits get 15-20% reply rates but manually creating audits limits volume to 10-20 per day.

The Scavio Solution

Automate audit generation with search API data. For each prospect, search Google for their business reviews, site presence, and competitors. Feed the results to an LLM to generate a one-page audit. Cost: $0.015/prospect for search + $0.002 for LLM.

Before

Before automation, a digital marketing agency manually created 10 one-page audits per day. Each audit took 20 minutes of research. Reply rate: 18%. But volume was capped at 50/week (25 hours of research time).

After

After automating with search API, the agency generates 100 audits per day. Research time: zero (automated). Reply rate: 16% (slightly lower than manual due to less nuance, but 10x volume). Weekly API cost: $10.50. Weekly replies: 112 vs 9 previously.

Who It Is For

Digital marketing agencies, web development freelancers, and B2B service providers looking to scale personalized cold outreach.

Key Benefits

  • Generate 100+ personalized audits per day
  • Reply rate 15-20% vs 2-3% for generic emails
  • Search cost: $0.015/prospect (3 queries)
  • Each audit contains real data about prospect's online presence
  • Cheaper than Clay ($185/month) for under 2,000 prospects

Python Example

Python
import requests, os, json

H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def audit_data(business, domain):
    queries = [f'{business} reviews', f'site:{domain}',
               f'{business} competitors']
    data = {}
    for q in queries:
        r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
            json={'platform': 'google', 'query': q}, timeout=10).json()
        data[q] = [{'title': r.get('title', ''), 'snippet': r.get('snippet', '')}
                   for r in r.get('organic_results', [])[:3]]
    return data

# 3 searches = $0.015 per prospect
audit = audit_data('Acme Bakery', 'acmebakery.com')
print(json.dumps(audit, indent=2))

JavaScript Example

JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function auditData(business, domain) {
  const queries = [`${business} reviews`, `site:${domain}`, `${business} competitors`];
  const data = {};
  for (const q of queries) {
    const r = await fetch('https://api.scavio.dev/api/v1/search', {
      method: 'POST', headers: H, body: JSON.stringify({platform: 'google', query: q})
    }).then(r => r.json());
    data[q] = (r.organic_results || []).slice(0, 3).map(r => ({title: r.title, snippet: r.snippet}));
  }
  return data;
}
auditData('Acme Bakery', 'acmebakery.com').then(d => console.log(JSON.stringify(d, null, 2)));

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Frequently Asked Questions

Generic cold emails achieve 2-3% reply rates. Prospects ignore template outreach because it shows no understanding of their business. Personalized one-page audits get 15-20% reply rates but manually creating audits limits volume to 10-20 per day.

Automate audit generation with search API data. For each prospect, search Google for their business reviews, site presence, and competitors. Feed the results to an LLM to generate a one-page audit. Cost: $0.015/prospect for search + $0.002 for LLM.

Digital marketing agencies, web development freelancers, and B2B service providers looking to scale personalized cold outreach.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to validate this solution in your workflow.

Build a One-Page Audit Pipeline for Cold Outreach

Automate audit generation with search API data. For each prospect, search Google for their business reviews, site presence, and competitors. Feed the results to an LLM to generate