Local SEO Optimization for Jekyll Sites with Cloudflare Geo Analytics

Your Jekyll site serves customers in specific locations, but it's not appearing in local search results. You're missing out on valuable "near me" searches and local business traffic. Cloudflare Analytics shows you where your visitors are coming from geographically, but you're not using this data to optimize for local SEO. The problem is that local SEO requires location-specific optimizations that most static site generators struggle with. The solution is leveraging Cloudflare's edge network and analytics to implement sophisticated local SEO strategies.

Building a Local SEO Foundation

Local SEO requires different tactics than traditional SEO. Start by analyzing your Cloudflare Analytics geographic data to understand where your current visitors are located. Look for patterns: Are you getting unexpected traffic from certain cities or regions? Are there locations where you have high engagement but low traffic (indicating untapped potential)?

Next, define your target service areas. If you're a local business, this is your physical service radius. If you serve multiple locations, prioritize based on population density, competition, and your current traction. For each target location, create a local SEO plan including: Google Business Profile optimization, local citation building, location-specific content, and local link building.

The key insight for Jekyll sites: you can create location-specific pages dynamically using Cloudflare Workers, even though your site is static. This gives you the flexibility of dynamic local SEO without complex server infrastructure.

Local SEO Components for Jekyll Sites

Component	Traditional Approach	Jekyll + Cloudflare Approach	Local SEO Impact
Location Pages	Static HTML pages	Dynamic generation via Workers	Target multiple locations efficiently
NAP Consistency	Manual updates	Centralized data file + auto-update	Better local ranking signals
Local Content	Generic content	Geo-personalized via edge	Higher local relevance
Structured Data	Basic LocalBusiness	Dynamic based on visitor location	Rich results in local search
Reviews Integration	Static display	Dynamic fetch and display	Social proof for local trust

Geo Analytics Strategy for Local SEO

Use Cloudflare Analytics to inform your local SEO strategy:

# Ruby script to analyze geographic opportunities
require 'json'
require 'geocoder'

class LocalSEOAnalyzer
  def initialize(cloudflare_data)
    @data = cloudflare_data
  end
  
  def identify_target_locations(min_visitors: 50, growth_threshold: 0.2)
    opportunities = []
    
    @data[:geographic].each do |location|
      # Location has decent traffic and is growing
      if location[:visitors] >= min_visitors && 
         location[:growth_rate] >= growth_threshold
        
        # Check competition (simplified)
        competition = estimate_local_competition(location[:city], location[:country])
        
        opportunities   {
          location: "#{location[:city]}, #{location[:country]}",
          visitors: location[:visitors],
          growth: (location[:growth_rate] * 100).round(2),
          competition: competition,
          priority: calculate_priority(location, competition)
        }
      end
    end
    
    # Sort by priority
    opportunities.sort_by { |o| -o[:priority] }
  end
  
  def estimate_local_competition(city, country)
    # Use Google Places API or similar
    # Simplified example
    {
      low: rand(1..3),
      medium: rand(4..7),
      high: rand(8..10)
    }
  end
  
  def calculate_priority(location, competition)
    # Higher traffic + higher growth + lower competition = higher priority
    traffic_score = Math.log(location[:visitors]) * 10
    growth_score = location[:growth_rate] * 100
    competition_score = (10 - competition[:high]) * 5
    
    (traffic_score + growth_score + competition_score).round(2)
  end
  
  def generate_local_seo_plan(locations)
    plan = {}
    
    locations.each do |location|
      plan[location[:location]] = {
        immediate_actions: [
          "Create location page: /locations/#{slugify(location[:location])}",
          "Set up Google Business Profile",
          "Build local citations",
          "Create location-specific content"
        ],
        medium_term_actions: [
          "Acquire local backlinks",
          "Generate local reviews",
          "Run local social media campaigns",
          "Participate in local events"
        ],
        tracking_metrics: [
          "Local search rankings",
          "Google Business Profile views",
          "Direction requests",
          "Phone calls from location"
        ]
      }
    end
    
    plan
  end
end

# Usage
analytics = CloudflareAPI.fetch_geographic_data
analyzer = LocalSEOAnalyzer.new(analytics)
target_locations = analyzer.identify_target_locations
local_seo_plan = analyzer.generate_local_seo_plan(target_locations.first(5))

Location Page Optimization for Jekyll

Create optimized location pages dynamically:

# _plugins/location_pages.rb
module Jekyll
  class LocationPageGenerator < Generator
    safe true
    
    def generate(site)
      # Load location data
      locations = YAML.load_file('_data/locations.yml')
      
      locations.each do |location|
        # Create location page
        page = LocationPage.new(site, site.source, location)
        site.pages   page
        
        # Create service pages for this location
        location['services'].each do |service|
          service_page = ServiceLocationPage.new(site, site.source, location, service)
          site.pages   service_page
        end
      end
    end
  end
  
  class LocationPage < Page
    def initialize(site, base, location)
      @site = site
      @base = base
      @dir = "locations/#{location['slug']}"
      @name = 'index.html'
      
      self.process(@name)
      self.read_yaml(File.join(base, '_layouts'), 'location.html')
      
      # Set page data
      self.data['title'] = "#{location['service']} in #{location['city']}, #{location['state']}"
      self.data['description'] = "Professional #{location['service']} services in #{location['city']}, #{location['state']}. Contact us today!"
      self.data['location'] = location
      self.data['canonical_url'] = "#{site.config['url']}/locations/#{location['slug']}/"
      
      # Add local business schema
      self.data['schema'] = generate_local_business_schema(location)
    end
    
    def generate_local_business_schema(location)
      {
        "@context": "https://schema.org",
        "@type": "LocalBusiness",
        "name": "#{site.config['title']} - #{location['city']}",
        "image": site.config['logo'],
        "@id": "#{site.config['url']}/locations/#{location['slug']}/",
        "url": "#{site.config['url']}/locations/#{location['slug']}/",
        "telephone": location['phone'],
        "address": {
          "@type": "PostalAddress",
          "streetAddress": location['address'],
          "addressLocality": location['city'],
          "addressRegion": location['state'],
          "postalCode": location['zip'],
          "addressCountry": "US"
        },
        "geo": {
          "@type": "GeoCoordinates",
          "latitude": location['latitude'],
          "longitude": location['longitude']
        },
        "openingHoursSpecification": [
          {
            "@type": "OpeningHoursSpecification",
            "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
            "opens": "09:00",
            "closes": "17:00"
          }
        ],
        "sameAs": [
          site.config['facebook'],
          site.config['twitter'],
          site.config['linkedin']
        ]
      }
    end
  end
end

# _data/locations.yml
- city: "New York"
  state: "NY"
  slug: "new-york-ny"
  address: "123 Main St"
  zip: "10001"
  phone: "+1-212-555-0123"
  latitude: 40.7128
  longitude: -74.0060
  services:
    - "Web Development"
    - "SEO Consulting"
    - "Technical Support"

Geographic Content Personalization

Personalize content based on visitor location using Cloudflare Workers:

// workers/geo-personalization.js
const LOCAL_CONTENT = {
  'New York, NY': {
    testimonials: [
      {
        name: 'John D.',
        location: 'Manhattan',
        text: 'Great service in NYC!'
      }
    ],
    local_references: 'serving Manhattan, Brooklyn, and Queens',
    phone_number: '(212) 555-0123',
    office_hours: '9 AM - 6 PM EST'
  },
  'Los Angeles, CA': {
    testimonials: [
      {
        name: 'Sarah M.',
        location: 'Beverly Hills',
        text: 'Best in LA!'
      }
    ],
    local_references: 'serving Hollywood, Downtown LA, and Santa Monica',
    phone_number: '(213) 555-0123',
    office_hours: '9 AM - 6 PM PST'
  },
  'Chicago, IL': {
    testimonials: [
      {
        name: 'Mike R.',
        location: 'The Loop',
        text: 'Excellent Chicago service!'
      }
    ],
    local_references: 'serving Downtown Chicago and surrounding areas',
    phone_number: '(312) 555-0123',
    office_hours: '9 AM - 6 PM CST'
  }
}

addEventListener('fetch', event => {
  event.respondWith(handleRequest(event.request))
})

async function handleRequest(request) {
  const url = new URL(request.url)
  const country = request.headers.get('CF-IPCountry')
  const city = request.headers.get('CF-IPCity')
  const region = request.headers.get('CF-IPRegion')
  
  // Only personalize HTML pages
  const response = await fetch(request)
  const contentType = response.headers.get('Content-Type')
  
  if (!contentType || !contentType.includes('text/html')) {
    return response
  }
  
  let html = await response.text()
  
  // Personalize based on location
  const locationKey = `${city}, ${region}`
  const localContent = LOCAL_CONTENT[locationKey] || LOCAL_CONTENT['New York, NY']
  
  html = personalizeContent(html, localContent, city, region)
  
  // Add local schema
  html = addLocalSchema(html, city, region)
  
  return new Response(html, response)
}

function personalizeContent(html, localContent, city, region) {
  // Replace generic content with local content
  html = html.replace(//g, generateTestimonialsHTML(localContent.testimonials))
  html = html.replace(//g, localContent.local_references)
  html = html.replace(//g, localContent.phone_number)
  html = html.replace(//g, localContent.office_hours)
  
  // Add city/region to page titles and headings
  if (city && region) {
    html = html.replace(/(.*?)<\/title>/, `<title>$1 - ${city}, ${region}</title>`)
    html = html.replace(/<h1[^>]*>(.*?)<\/h1>/, `<h1>$1 in ${city}, ${region}</h1>`)
  }
  
  return html
}

function addLocalSchema(html, city, region) {
  if (!city || !region) return html
  
  const localSchema = {
    "@context": "https://schema.org",
    "@type": "WebPage",
    "about": {
      "@type": "Place",
      "name": `${city}, ${region}`
    }
  }
  
  const schemaScript = `<script type="application/ld+json">${JSON.stringify(localSchema)}</script>`
  
  return html.replace('</head>', `${schemaScript}</head>`)
}</code></pre>

<h2 id="local-citations-management">Local Citations and NAP Consistency</h2>
<p>Manage local citations automatically:</p>

<pre><code># lib/local_seo/citation_manager.rb
class CitationManager
  CITATION_SOURCES = [
    {
      name: 'Google Business Profile',
      url: 'https://www.google.com/business/',
      fields: [:name, :address, :phone, :website, :hours]
    },
    {
      name: 'Yelp',
      url: 'https://biz.yelp.com/',
      fields: [:name, :address, :phone, :website, :categories]
    },
    {
      name: 'Facebook Business',
      url: 'https://www.facebook.com/business',
      fields: [:name, :address, :phone, :website, :description]
    },
    # Add more citation sources
  ]
  
  def initialize(business_data)
    @business = business_data
  end
  
  def generate_citation_report
    report = {
      consistency_score: calculate_nap_consistency,
      missing_citations: find_missing_citations,
      inconsistent_data: find_inconsistent_data,
      optimization_opportunities: find_optimization_opportunities
    }
    
    report
  end
  
  def calculate_nap_consistency
    # NAP = Name, Address, Phone
    citations = fetch_existing_citations
    
    consistency_score = 0
    total_points = 0
    
    citations.each do |citation|
      # Check name consistency
      if citation[:name] == @business[:name]
        consistency_score += 1
      end
      total_points += 1
      
      # Check address consistency
      if normalize_address(citation[:address]) == normalize_address(@business[:address])
        consistency_score += 1
      end
      total_points += 1
      
      # Check phone consistency
      if normalize_phone(citation[:phone]) == normalize_phone(@business[:phone])
        consistency_score += 1
      end
      total_points += 1
    end
    
    (consistency_score.to_f / total_points * 100).round(2)
  end
  
  def find_missing_citations
    existing = fetch_existing_citations.map { |c| c[:source] }
    
    CITATION_SOURCES.reject do |source|
      existing.include?(source[:name])
    end.map { |source| source[:name] }
  end
  
  def submit_to_citations
    results = []
    
    CITATION_SOURCES.each do |source|
      begin
        result = submit_to_source(source)
        results   {
          source: source[:name],
          status: result[:success] ? 'success' : 'failed',
          message: result[:message]
        }
      rescue => e
        results   {
          source: source[:name],
          status: 'error',
          message: e.message
        }
      end
    end
    
    results
  end
  
  private
  
  def submit_to_source(source)
    # Implement API calls or form submissions for each source
    # This is a template method
    
    case source[:name]
    when 'Google Business Profile'
      submit_to_google_business
    when 'Yelp'
      submit_to_yelp
    when 'Facebook Business'
      submit_to_facebook
    else
      { success: false, message: 'Not implemented' }
    end
  end
end

# Rake task to manage citations
namespace :local_seo do
  desc "Check NAP consistency"
  task :check_consistency do
    manager = CitationManager.load_from_yaml('_data/business.yml')
    report = manager.generate_citation_report
    
    puts "NAP Consistency Score: #{report[:consistency_score]}%"
    
    if report[:missing_citations].any?
      puts "Missing citations:"
      report[:missing_citations].each { |c| puts "  - #{c}" }
    end
  end
  
  desc "Submit to all citation sources"
  task :submit_citations do
    manager = CitationManager.load_from_yaml('_data/business.yml')
    results = manager.submit_to_citations
    
    results.each do |result|
      puts "#{result[:source]}: #{result[:status]} - #{result[:message]}"
    end
  end
end</code></pre>

<h2 id="local-rank-tracking">Local Rank Tracking and Optimization</h2>
<p>Track local rankings and optimize based on performance:</p>

<pre><code># lib/local_seo/rank_tracker.rb
class LocalRankTracker
  def initialize(locations, keywords)
    @locations = locations
    @keywords = keywords
  end
  
  def track_local_rankings
    rankings = {}
    
    @locations.each do |location|
      rankings[location] = {}
      
      @keywords.each do |keyword|
        local_keyword = "#{keyword} #{location}"
        ranking = check_local_ranking(local_keyword, location)
        
        rankings[location][keyword] = ranking
        
        # Store in database
        LocalRanking.create(
          location: location,
          keyword: keyword,
          position: ranking[:position],
          url: ranking[:url],
          date: Date.today,
          search_volume: ranking[:search_volume],
          difficulty: ranking[:difficulty]
        )
      end
    end
    
    rankings
  end
  
  def check_local_ranking(keyword, location)
    # Use SERP API with location parameter
    # Example using hypothetical API
    result = SerpAPI.search(
      q: keyword,
      location: location,
      google_domain: 'google.com',
      gl: 'us', # country code
      hl: 'en'  # language code
    )
    
    {
      position: find_position(result[:organic_results], YOUR_SITE_URL),
      url: find_your_url(result[:organic_results]),
      local_pack: extract_local_pack(result[:local_results]),
      featured_snippet: result[:featured_snippet],
      search_volume: get_search_volume(keyword),
      difficulty: estimate_keyword_difficulty(keyword)
    }
  end
  
  def generate_local_seo_report
    rankings = track_local_rankings
    
    report = {
      summary: generate_summary(rankings),
      by_location: analyze_by_location(rankings),
      by_keyword: analyze_by_keyword(rankings),
      opportunities: identify_opportunities(rankings),
      recommendations: generate_recommendations(rankings)
    }
    
    report
  end
  
  def identify_opportunities(rankings)
    opportunities = []
    
    rankings.each do |location, keywords|
      keywords.each do |keyword, data|
        # Keywords where you're on page 2 (positions 11-20)
        if data[:position] && data[:position].between?(11, 20)
          opportunities   {
            type: 'page2_opportunity',
            location: location,
            keyword: keyword,
            current_position: data[:position],
            action: 'Optimize content and build local links'
          }
        end
        
        # Keywords with high search volume but low ranking
        if data[:search_volume] > 1000 && (!data[:position] || data[:position] > 30)
          opportunities   {
            type: 'high_volume_low_rank',
            location: location,
            keyword: keyword,
            search_volume: data[:search_volume],
            current_position: data[:position],
            action: 'Create dedicated landing page'
          }
        end
      end
    end
    
    opportunities
  end
  
  def generate_recommendations(rankings)
    recommendations = []
    
    # Analyze local pack performance
    rankings.each do |location, keywords|
      local_pack_presence = keywords.values.count { |k| k[:local_pack] }
      
      if local_pack_presence < keywords.size * 0.5 # Less than 50%
        recommendations   {
          location: location,
          type: 'improve_local_pack',
          action: 'Optimize Google Business Profile and acquire more local reviews',
          priority: 'high'
        }
      end
    end
    
    recommendations
  end
end

# Dashboard to monitor local SEO performance
get '/local-seo-dashboard' do
  tracker = LocalRankTracker.new(['New York, NY', 'Los Angeles, CA'], 
                                 ['web development', 'seo services'])
  
  @rankings = tracker.track_local_rankings
  @report = tracker.generate_local_seo_report
  
  erb :local_seo_dashboard
end</code></pre>


<p>Start your local SEO journey by analyzing your Cloudflare geographic data. Identify your top 3 locations and create dedicated location pages. Set up Google Business Profiles for each location. Then implement geo-personalization using Cloudflare Workers. Track local rankings monthly and optimize based on performance. Local SEO compounds over time, so consistent effort will yield significant results in local search visibility.</p>

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In This Article

Building a Local SEO Foundation

Local SEO Components for Jekyll Sites

Geo Analytics Strategy for Local SEO

Location Page Optimization for Jekyll

Geographic Content Personalization