PLS SEO Audit

SEO Audit

Comprehensive SEO analysis for content and websites.

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)

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"}'

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 }

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 }

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"} }] }

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]