SEO Audit Checklist
Comprehensive patterns and automation for conducting technical SEO audits and identifying optimization opportunities.
Automated SEO Audit Script
import requests
from bs4 import BeautifulSoup
from urllib.parse import urlparse, urljoin
import json
from typing import Dict, List, Set
class SEOAuditor:
"""Automated SEO audit checker"""
def __init__(self, url: str):
self.url = url
self.domain = urlparse(url).netloc
self.issues = {
"critical": [],
"high": [],
"medium": [],
"low": []
}
self.recommendations = []
def audit(self) -> Dict:
"""Run complete SEO audit"""
try:
response = requests.get(self.url, timeout=10)
self.soup = BeautifulSoup(response.text, 'html.parser')
# Run all checks
self.check_title_tag()
self.check_meta_description()
self.check_heading_hierarchy()
self.check_images()
self.check_canonical()
self.check_robots_meta()
self.check_structured_data()
self.check_open_graph()
self.check_mobile_viewport()
self.check_https()
return {
"url": self.url,
"issues": self.issues,
"recommendations": self.recommendations,
"score": self._calculate_score()
}
except Exception as e:
return {"error": str(e)}
def check_title_tag(self):
"""Validate title tag"""
title = self.soup.find('title')
if not title:
self.issues["critical"].append({
"type": "missing_title",
"message": "Missing <title> tag",
"fix": "Add <title> tag with 50-60 characters"
})
elif title:
title_text = title.string.strip() if title.string else ""
length = len(title_text)
if length < 30:
self.issues["high"].append({
"type": "title_too_short",
"message": f"Title too short ({length} chars)",
"current": title_text,
"fix": "Expand title to 50-60 characters"
})
elif length > 60:
self.issues["medium"].append({
"type": "title_too_long",
"message": f"Title too long ({length} chars)",
"current": title_text,
"fix": "Reduce title to 50-60 characters"
})
def check_meta_description(self):
"""Validate meta description"""
meta_desc = self.soup.find('meta', attrs={'name': 'description'})
if not meta_desc or not meta_desc.get('content'):
self.issues["high"].append({
"type": "missing_meta_description",
"message": "Missing meta description",
"fix": "Add meta description (150-160 characters)"
})
else:
content = meta_desc.get('content', '').strip()
length = len(content)
if length < 120:
self.issues["medium"].append({
"type": "meta_desc_too_short",
"message": f"Meta description too short ({length} chars)",
"fix": "Expand to 150-160 characters"
})
elif length > 160:
self.issues["medium"].append({
"type": "meta_desc_too_long",
"message": f"Meta description too long ({length} chars)",
"fix": "Reduce to 150-160 characters"
})
def check_heading_hierarchy(self):
"""Check H1-H6 hierarchy"""
h1_tags = self.soup.find_all('h1')
if len(h1_tags) == 0:
self.issues["high"].append({
"type": "missing_h1",
"message": "No H1 tag found",
"fix": "Add exactly one H1 tag per page"
})
elif len(h1_tags) > 1:
self.issues["medium"].append({
"type": "multiple_h1",
"message": f"Multiple H1 tags found ({len(h1_tags)})",
"fix": "Use only one H1 per page"
})
# Check for heading gaps
heading_levels = []
for i in range(1, 7):
if self.soup.find(f'h{i}'):
heading_levels.append(i)
for i in range(len(heading_levels) - 1):
if heading_levels[i+1] - heading_levels[i] > 1:
self.issues["low"].append({
"type": "heading_hierarchy_gap",
"message": f"Heading hierarchy skips from H{heading_levels[i]} to H{heading_levels[i+1]}",
"fix": "Use sequential heading levels"
})
def check_images(self):
"""Check image optimization"""
images = self.soup.find_all('img')
for img in images:
# Check alt text
if not img.get('alt'):
self.issues["high"].append({
"type": "missing_alt_text",
"message": f"Image missing alt text: {img.get('src', 'unknown')}",
"fix": "Add descriptive alt text to all images"
})
# Check for explicit dimensions
if not img.get('width') or not img.get('height'):
self.issues["medium"].append({
"type": "missing_image_dimensions",
"message": f"Image missing width/height: {img.get('src', 'unknown')}",
"fix": "Add explicit width and height to prevent CLS"
})
# Check for lazy loading
if not img.get('loading'):
self.issues["low"].append({
"type": "missing_lazy_loading",
"message": f"Image missing lazy loading: {img.get('src', 'unknown')}",
"fix": "Add loading='lazy' for below-fold images"
})
def check_canonical(self):
"""Check canonical URL"""
canonical = self.soup.find('link', rel='canonical')
if not canonical:
self.issues["medium"].append({
"type": "missing_canonical",
"message": "Missing canonical link tag",
"fix": "Add <link rel='canonical' href='...'>"
})
elif canonical:
href = canonical.get('href', '')
if not href.startswith('http'):
self.issues["high"].append({
"type": "invalid_canonical",
"message": "Canonical URL is not absolute",
"current": href,
"fix": "Use absolute URL for canonical tag"
})
def check_robots_meta(self):
"""Check robots meta tag"""
robots = self.soup.find('meta', attrs={'name': 'robots'})
if robots:
content = robots.get('content', '').lower()
if 'noindex' in content:
self.issues["critical"].append({
"type": "noindex_found",
"message": "Page has noindex directive",
"fix": "Remove noindex if page should be indexed"
})
if 'nofollow' in content:
self.issues["high"].append({
"type": "nofollow_found",
"message": "Page has nofollow directive",
"fix": "Remove nofollow if links should be followed"
})
def check_structured_data(self):
"""Check for structured data"""
json_ld = self.soup.find_all('script', type='application/ld+json')
if not json_ld:
self.issues["medium"].append({
"type": "missing_structured_data",
"message": "No structured data found",
"fix": "Add Schema.org JSON-LD structured data"
})
else:
for script in json_ld:
try:
data = json.loads(script.string)
if '@context' not in data:
self.issues["high"].append({
"type": "invalid_structured_data",
"message": "Structured data missing @context",
"fix": "Add @context: 'https://schema.org'"
})
except json.JSONDecodeError:
self.issues["high"].append({
"type": "invalid_json_ld",
"message": "Invalid JSON-LD syntax",
"fix": "Fix JSON-LD syntax errors"
})
def check_open_graph(self):
"""Check Open Graph tags"""
required_og = ['og:title', 'og:description', 'og:image', 'og:url']
missing = []
for prop in required_og:
if not self.soup.find('meta', property=prop):
missing.append(prop)
if missing:
self.issues["medium"].append({
"type": "missing_open_graph",
"message": f"Missing Open Graph tags: {', '.join(missing)}",
"fix": "Add all required Open Graph meta tags"
})
def check_mobile_viewport(self):
"""Check mobile viewport meta tag"""
viewport = self.soup.find('meta', attrs={'name': 'viewport'})
if not viewport:
self.issues["critical"].append({
"type": "missing_viewport",
"message": "Missing viewport meta tag",
"fix": "Add <meta name='viewport' content='width=device-width, initial-scale=1'>"
})
def check_https(self):
"""Check if site uses HTTPS"""
if not self.url.startswith('https://'):
self.issues["critical"].append({
"type": "not_https",
"message": "Site not using HTTPS",
"fix": "Implement SSL certificate and redirect HTTP to HTTPS"
})
def _calculate_score(self) -> int:
"""Calculate SEO score (0-100)"""
weights = {"critical": -20, "high": -10, "medium": -5, "low": -2}
deductions = sum(
weights[severity] * len(issues)
for severity, issues in self.issues.items()
)
return max(0, 100 + deductions)
# Usage example
def run_seo_audit(url: str) -> Dict:
"""Run comprehensive SEO audit on URL"""
auditor = SEOAuditor(url)
results = auditor.audit()
# Print summary
print(f"SEO Score: {results['score']}/100")
print(f"\nCritical Issues: {len(results['issues']['critical'])}")
print(f"High Priority: {len(results['issues']['high'])}")
print(f"Medium Priority: {len(results['issues']['medium'])}")
print(f"Low Priority: {len(results['issues']['low'])}")
return results
Robots.txt Validator
import requests
from urllib.parse import urljoin
def validate_robots_txt(domain: str) -> Dict:
"""Validate robots.txt file"""
robots_url = urljoin(f"https://{domain}", '/robots.txt')
issues = []
recommendations = []
try:
response = requests.get(robots_url, timeout=5)
if response.status_code == 404:
issues.append({
"severity": "medium",
"message": "No robots.txt file found",
"fix": "Create robots.txt file"
})
return {"exists": False, "issues": issues}
content = response.text
lines = content.split('\n')
# Check for sitemap
if 'sitemap:' not in content.lower():
recommendations.append({
"type": "add_sitemap",
"message": "robots.txt missing Sitemap directive",
"fix": "Add 'Sitemap: https://yourdomain.com/sitemap.xml'"
})
# Check for disallow all
if 'disallow: /' in content.lower():
for i, line in enumerate(lines):
if 'user-agent: *' in line.lower():
if i + 1 < len(lines) and 'disallow: /' in lines[i + 1].lower():
issues.append({
"severity": "critical",
"message": "robots.txt blocks all crawlers",
"fix": "Remove 'Disallow: /' unless intentional"
})
return {
"exists": True,
"content": content,
"issues": issues,
"recommendations": recommendations
}
except Exception as e:
return {"error": str(e)}
Sitemap Validator
import xml.etree.ElementTree as ET
import requests
def validate_sitemap(sitemap_url: str) -> Dict:
"""Validate XML sitemap"""
issues = []
stats = {"urls": 0, "errors": 0}
try:
response = requests.get(sitemap_url, timeout=10)
if response.status_code != 200:
return {
"error": f"Sitemap returned status {response.status_code}",
"exists": False
}
# Parse XML
root = ET.fromstring(response.content)
namespace = {'ns': 'http://www.sitemaps.org/schemas/sitemap/0.9'}
urls = root.findall('.//ns:url', namespace)
stats["urls"] = len(urls)
for url_elem in urls:
loc = url_elem.find('ns:loc', namespace)
if loc is None:
issues.append({
"severity": "high",
"message": "URL missing <loc> element"
})
stats["errors"] += 1
continue
# Check if URL is accessible
url = loc.text
# Validate lastmod format if present
lastmod = url_elem.find('ns:lastmod', namespace)
if lastmod is not None:
try:
from datetime import datetime
datetime.fromisoformat(lastmod.text.replace('Z', '+00:00'))
except ValueError:
issues.append({
"severity": "low",
"message": f"Invalid lastmod format for {url}",
"fix": "Use ISO 8601 format (YYYY-MM-DD)"
})
# Check sitemap size
if stats["urls"] > 50000:
issues.append({
"severity": "high",
"message": f"Sitemap has {stats['urls']} URLs (max 50,000)",
"fix": "Split into multiple sitemaps and use sitemap index"
})
return {
"valid": True,
"stats": stats,
"issues": issues
}
except ET.ParseError as e:
return {"error": f"Invalid XML: {str(e)}"}
except Exception as e:
return {"error": str(e)}
Core Web Vitals Checker
import requests
import json
def check_core_web_vitals(url: str, api_key: str) -> Dict:
"""Check Core Web Vitals using PageSpeed Insights API"""
api_url = "https://www.googleapis.com/pagespeedonline/v5/runPagespeed"
params = {
"url": url,
"key": api_key,
"category": ["performance", "seo"],
"strategy": "mobile"
}
try:
response = requests.get(api_url, params=params)
data = response.json()
# Extract Core Web Vitals
lighthouse = data.get("lighthouseResult", {})
audits = lighthouse.get("audits", {})
vitals = {
"lcp": audits.get("largest-contentful-paint", {}).get("numericValue", 0) / 1000,
"inp": audits.get("interaction-to-next-paint", {}).get("numericValue", 0),
"cls": audits.get("cumulative-layout-shift", {}).get("numericValue", 0),
"fcp": audits.get("first-contentful-paint", {}).get("numericValue", 0) / 1000,
"ttfb": audits.get("server-response-time", {}).get("numericValue", 0),
}
# Determine pass/fail
thresholds = {
"lcp": {"good": 2.5, "needs_improvement": 4.0},
"inp": {"good": 200, "needs_improvement": 500},
"cls": {"good": 0.1, "needs_improvement": 0.25},
}
results = {}
for metric, value in vitals.items():
if metric in thresholds:
t = thresholds[metric]
if value <= t["good"]:
status = "good"
elif value <= t["needs_improvement"]:
status = "needs_improvement"
else:
status = "poor"
results[metric] = {
"value": value,
"status": status
}
return {
"url": url,
"vitals": results,
"performance_score": lighthouse.get("categories", {}).get("performance", {}).get("score", 0) * 100,
"seo_score": lighthouse.get("categories", {}).get("seo", {}).get("score", 0) * 100
}
except Exception as e:
return {"error": str(e)}
Complete Audit Report Generator
def generate_audit_report(url: str, api_key: str = None) -> str:
"""Generate comprehensive SEO audit report"""
report = f"""
# SEO Audit Report
**URL**: {url}
**Date**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
---
## 1. Technical SEO Audit
"""
# Run basic SEO audit
seo_results = run_seo_audit(url)
report += f"\n**SEO Score**: {seo_results['score']}/100\n\n"
# Critical issues
if seo_results['issues']['critical']:
report += "### Critical Issues\n"
for issue in seo_results['issues']['critical']:
report += f"- **{issue['message']}**\n"
report += f" - Fix: {issue['fix']}\n"
# High priority
if seo_results['issues']['high']:
report += "\n### High Priority Issues\n"
for issue in seo_results['issues']['high']:
report += f"- {issue['message']}\n"
report += f" - Fix: {issue['fix']}\n"
# Check robots.txt
domain = urlparse(url).netloc
robots_results = validate_robots_txt(domain)
report += "\n## 2. Robots.txt Validation\n"
if robots_results.get('exists'):
report += "✅ robots.txt exists\n"
else:
report += "❌ robots.txt not found\n"
# Check Core Web Vitals if API key provided
if api_key:
report += "\n## 3. Core Web Vitals\n"
vitals = check_core_web_vitals(url, api_key)
if 'vitals' in vitals:
for metric, data in vitals['vitals'].items():
status_emoji = "✅" if data['status'] == 'good' else "⚠️" if data['status'] == 'needs_improvement' else "❌"
report += f"{status_emoji} **{metric.upper()}**: {data['value']:.2f} ({data['status']})\n"
report += "\n---\n**End of Report**\n"
return report
Use these patterns when conducting SEO audits and generating optimization recommendations.