dvcrn SEO Audit
Comprehensive SEO analysis for content and websites.
Quick Audit Checklist
On-Page SEO
- [ ] Title tag (50-60 chars, keyword near front)
- [ ] Meta description (150-160 chars, compelling)
- [ ] H1 tag (one per page, includes target keyword)
- [ ] H2-H6 hierarchy (logical structure)
- [ ] Image alt text (descriptive, keyword-relevant)
- [ ] Internal links (3-5 per page minimum)
- [ ] URL structure (short, descriptive, hyphens)
- [ ] Canonical tags (prevent duplicate content)
Technical SEO
- [ ] Page speed (<3s load time)
- [ ] Mobile-friendly (responsive design)
- [ ] HTTPS (SSL certificate valid)
- [ ] XML sitemap (submitted to Search Console)
- [ ] Robots.txt (properly configured)
- [ ] Structured data (Schema.org markup)
- [ ] Core Web Vitals (LCP, FID, CLS)
Content Quality
- [ ] Keyword in first 100 words
- [ ] Content length matches intent
- [ ] No keyword stuffing (<2% density)
- [ ] Readable (Flesch-Kincaid score)
- [ ] Unique value (not duplicate content)
- [ ] Fresh content (updated regularly)
Technical SEO Commands
Page Speed Analysis
# Using PageSpeed Insights API
curl "https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=https://example.com&strategy=mobile"
# Using lighthouse locally
npx lighthouse https://example.com --view
Check Robots.txt
curl https://example.com/robots.txt
Check Sitemap
curl https://example.com/sitemap.xml | xmllint --format -
SSL Certificate Check
openssl s_client -connect example.com:443 -servername example.com 2>/dev/null | openssl x509 -noout -dates
Mobile-Friendly Test
# Google's Mobile-Friendly Test API
curl "https://searchconsole.googleapis.com/v1/urlTestingTools/mobileFriendlyTest:run?key=YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com"}'
Content Analysis
Keyword Density
import re
from collections import Counter
def keyword_density(text, keyword):
words = re.findall(r'\b\w+\b', text.lower())
keyword_count = text.lower().count(keyword.lower())
density = (keyword_count / len(words)) * 100
return {
"keyword": keyword,
"count": keyword_count,
"total_words": len(words),
"density": f"{density:.2f}%"
}
# Target: 1-2% density
Readability Score
import textstat
text = "Your content here..."
flesch = textstat.flesch_reading_ease(text)
# 90-100: Very Easy
# 60-70: Standard
# 0-30: Very Difficult
grade = textstat.flesch_kincaid_grade(text)
# Target: 8-9 for general audience
Content Structure Analysis
from bs4 import BeautifulSoup
def analyze_headings(html):
soup = BeautifulSoup(html, 'html.parser')
headings = {
'h1': soup.find_all('h1'),
'h2': soup.find_all('h2'),
'h3': soup.find_all('h3'),
}
issues = []
if len(headings['h1']) == 0:
issues.append("Missing H1 tag")
elif len(headings['h1']) > 1:
issues.append("Multiple H1 tags (should be one)")
return {
"counts": {k: len(v) for k, v in headings.items()},
"issues": issues
}
Meta Tag Analysis
Extract Meta Tags
from bs4 import BeautifulSoup
import requests
def audit_meta_tags(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
title = soup.find('title')
description = soup.find('meta', attrs={'name': 'description'})
keywords = soup.find('meta', attrs={'name': 'keywords'})
issues = []
if not title or len(title.text) < 30:
issues.append("Title too short or missing")
elif len(title.text) > 60:
issues.append("Title too long (>60 chars)")
if not description:
issues.append("Meta description missing")
elif len(description.get('content', '')) < 120:
issues.append("Meta description too short")
elif len(description.get('content', '')) > 160:
issues.append("Meta description too long")
return {
"title": title.text if title else None,
"description": description.get('content') if description else None,
"issues": issues
}
Structured Data Check
Validate Schema Markup
# Using Google's Rich Results Test
curl "https://searchconsole.googleapis.com/v1/urlTestingTools/richResultsTest:run" \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com"}'
Common Schema Types
// Article
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Title",
"author": {"@type": "Person", "name": "Author"},
"datePublished": "2026-01-01"
}
// Local Business
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Business Name",
"address": {"@type": "PostalAddress", "streetAddress": "123 Main"},
"telephone": "+1-555-555-5555"
}
// FAQ
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "Question?",
"acceptedAnswer": {"@type": "Answer", "text": "Answer"}
}]
}
Competitor Analysis
Compare Page Metrics
import requests
from bs4 import BeautifulSoup
def compare_seo(target_url, competitor_url):
def get_metrics(url):
r = requests.get(url)
soup = BeautifulSoup(r.text, 'html.parser')
return {
"title_len": len(soup.find('title').text) if soup.find('title') else 0,
"h1_count": len(soup.find_all('h1')),
"h2_count": len(soup.find_all('h2')),
"word_count": len(soup.get_text().split()),
"images": len(soup.find_all('img')),
"images_no_alt": len([i for i in soup.find_all('img') if not i.get('alt')])
}
return {
"target": get_metrics(target_url),
"competitor": get_metrics(competitor_url)
}
SEO Audit Report Template
# SEO Audit Report
## Summary
- **Score:** X/100
- **Critical Issues:** X
- **Warnings:** X
- **Passed:** X
## Critical Issues
1. [Issue description]
- Impact: [High/Medium/Low]
- Fix: [Recommended action]
## Technical SEO
| Factor | Status | Notes |
|--------|--------|-------|
| Page Speed | ⚠️ | 4.2s load time |
| Mobile | ✅ | Responsive |
| HTTPS | ✅ | Valid SSL |
| Sitemap | ✅ | Submitted |
## On-Page SEO
| Factor | Status | Notes |
|--------|--------|-------|
| Title | ✅ | 55 chars |
| Meta Desc | ⚠️ | Too short |
| H1 | ✅ | Present |
| Images | ⚠️ | 3 missing alt |
## Recommendations
1. [Priority 1]
2. [Priority 2]
3. [Priority 3]