How I Debugged Mysterious AdSense Rejections Using a Three-Signal Approach

Ever tried to debug why your AdSense application keeps getting rejected, only to find zero clear answers from Google? I spent two weekends reverse-engineering this problem after one of my side projects got mysteriously flagged.

Here is the truth: Google does not provide a public API for AdSense bans. The only way to know for sure is to parse three distinct signals and cross-reference them. Let me walk you through the logic I implemented in a Node.js script that does exactly this.

const axios = require('axios');

async function checkAdSenseStatus(domain) {
  const signals = [];

  // Signal 1: Check if AdSense code is present in HTML
  try {
    const response = await axios.get(`https://${domain}`);
    const html = response.data;
    const hasAdSenseCode = html.includes('google_ad_client') || 
                           html.includes('pagead/js/adsbygoogle.js');
    signals.push({ name: 'AdSense Code Present', passed: hasAdSenseCode });
  } catch {
    signals.push({ name: 'AdSense Code Present', passed: false });
  }

  // Signal 2: Check DNS TXT records for AdSense verification
  try {
    const { Resolver } = require('dns').promises;
    const resolver = new Resolver();
    const txtRecords = await resolver.resolveTxt(domain);
    const hasAdSenseVerification = txtRecords.some(record => 
      record.some(line => line.includes('google-site-verification'))
    );
    signals.push({ name: 'Verification TXT Record', passed: hasAdSenseVerification });
  } catch {
    signals.push({ name: 'Verification TXT Record', passed: false });
  }

  // Signal 3: Check if Googlebot can crawl the site (banned sites often get 403)
  try {
    const googlebotResponse = await axios.get(`https://${domain}`, {
      headers: { 'User-Agent': 'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)' }
    });
    signals.push({ name: 'Googlebot Accessible', passed: googlebotResponse.status === 200 });
  } catch {
    signals.push({ name: 'Googlebot Accessible', passed: false });
  }

  // Final verdict: All three must pass
  const allPassed = signals.every(s => s.passed);
  return { domain, signals, allPassed, message: allPassed ? 'Likely not banned' : 'Suspected ban' };
}

The triple-signal approach matters because any single metric can be misleading. A site might have the AdSense code pasted from an old template but be actually banned. Or Googlebot might get blocked by a misconfigured firewall, creating a false positive.

I built a small tool around this logic at https://serpspur.com/tool/adsens-banned-site-checker/ to make it faster for quick checks, but the core algorithm remains the same. The key insight is that Google's ban system works through multiple layers: code presence, domain verification, and crawler access. If any one fails, you have a red flag.

If you are debugging an AdSense rejection, start with these three checks manually before reaching out to support. Most bans come from content policy violations that you can fix once you know where to look.