LLMS Central - The Robots.txt for AI
tutorials8 min read

How to Track AI Bot Traffic to Your Website (Free Tools & Guide)

By LLMS Central Team

How to Track AI Bot Traffic to Your Website (Free Tools & Guide)

Understanding which AI bots visit your website and what content they access is crucial for optimizing your AI search presence. This comprehensive guide shows you how to track AI bot traffic using free tools and techniques.

Why Track AI Bot Traffic?

Business Benefits

1. Optimize Content Strategy

  • See which content AI bots prefer
  • Identify high-value pages
  • Discover content gaps
  • Refine your ASEO approach

2. Measure AI Visibility

  • Track crawl frequency
  • Monitor coverage
  • Assess bot engagement
  • Compare to competitors

3. Validate Optimization

  • Confirm bots can access content
  • Verify llms.txt implementation
  • Check robots.txt configuration
  • Ensure proper indexing

4. Competitive Intelligence

  • Compare bot activity
  • Benchmark performance
  • Identify opportunities
  • Track market trends

Major AI Bots to Track

1. GPTBot (OpenAI/ChatGPT)

User Agent:

\\\`

Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; GPTBot/1.0; +https://openai.com/gptbot)

\\\`

Purpose: Training ChatGPT and powering ChatGPT search

Frequency: Weekly to monthly

Importance: Critical (200M+ users)

2. ClaudeBot (Anthropic)

User Agent:

\\\`

Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)

\\\`

Purpose: Training Claude AI

Frequency: Weekly

Importance: High (growing rapidly)

3. PerplexityBot

User Agent:

\\\`

Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; PerplexityBot/1.0; +https://perplexity.ai/bot)

\\\`

Purpose: Powering Perplexity search

Frequency: Multiple times per week

Importance: High (10M+ users)

4. Google-Extended

User Agent:

\\\`

Mozilla/5.0 (compatible; Google-Extended)

\\\`

Purpose: Training Gemini and AI Overviews

Frequency: Daily

Importance: Critical (billions of users)

5. Bingbot-AI

User Agent:

\\\`

Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm) AI-Search

\\\`

Purpose: Bing Chat and SearchGPT

Frequency: Daily

Importance: Medium-High (100M+ users)

6. Amazonbot

User Agent:

\\\`

Mozilla/5.0 (compatible; Amazonbot/1.0; +https://developer.amazon.com/amazonbot)

\\\`

Purpose: Training Alexa and Amazon AI

Frequency: Weekly

Importance: Medium

Free Tracking Methods

Method 1: Server Log Analysis

Access Your Server Logs:

Apache:

\\\`bash

Access log location

/var/log/apache2/access.log

Search for AI bots

grep -i "GPTBot\|ClaudeBot\|PerplexityBot" access.log

\\\`

Nginx:

\\\`bash

Access log location

/var/log/nginx/access.log

Search for AI bots

grep -E "GPTBot|ClaudeBot|PerplexityBot" access.log

\\\`

What to Look For:

\\\`

IP Address | Date/Time | Request | Status | User Agent

\\\`

Example Log Entry:

\\\`

66.249.66.1 - - [20/Jan/2025:10:15:30] "GET /blog/ai-seo HTTP/1.1" 200 "Mozilla/5.0 (compatible; GPTBot/1.0)"

\\\`

Method 2: Google Analytics 4

Setup Custom Dimension:

1. Go to Admin → Custom Definitions

2. Create Custom Dimension:

- Name: "Bot Type"

- Scope: Event

- Parameter: bot_type

3. Add to Google Tag:

\\\`javascript

gtag('event', 'bot_visit', {

'bot_type': 'GPTBot',

'page_path': window.location.pathname

});

\\\`

Create Exploration Report:

  • Dimensions: Bot Type, Page Path
  • Metrics: Event Count, Engagement Time
  • Filters: User Agent contains bot names

Method 3: JavaScript Bot Tracker (Free)

Install LLMS Central Widget:

\\\`html

\\\`

Features:

  • ✅ Automatic bot detection
  • ✅ Real-time tracking
  • ✅ Dashboard analytics
  • ✅ Historical data
  • ✅ Free forever

What It Tracks:

  • Bot type (GPTBot, ClaudeBot, etc.)
  • Visit timestamp
  • Page visited
  • Referrer
  • User agent
  • IP address (hashed)

Method 4: Cloudflare Analytics

If Using Cloudflare:

1. Go to Analytics → Traffic

2. Filter by User Agent:

- Add filter: User Agent contains "Bot"

- Select specific bots

3. Create Custom Dashboard:

- Bot visits over time

- Top pages visited

- Geographic distribution

- Request patterns

Method 5: WordPress Plugin (Free)

For WordPress Sites:

\\\`

Plugin: LLMS Central Bot Tracker

Install from: WordPress.org plugin directory

\\\`

Features:

  • Server-side detection
  • No JavaScript required
  • Works with caching
  • Admin dashboard
  • Export data

Installation:

\\\`

1. Install plugin from WordPress.org

2. Activate plugin

3. View analytics in WordPress admin

\\\`

Advanced Tracking Techniques

1. Custom Tracking Script

DIY Bot Detection:

\\\`javascript

// Detect AI bots

function detectAIBot() {

const userAgent = navigator.userAgent.toLowerCase();

const bots = {

'gptbot': 'GPTBot',

'claudebot': 'ClaudeBot',

'perplexitybot': 'PerplexityBot',

'google-extended': 'Google-Extended',

'amazonbot': 'Amazonbot'

};

for (const [key, name] of Object.entries(bots)) {

if (userAgent.includes(key)) {

return name;

}

}

return null;

}

// Track bot visit

const botType = detectAIBot();

if (botType) {

// Send to your analytics

fetch('/api/track-bot', {

method: 'POST',

headers: { 'Content-Type': 'application/json' },

body: JSON.stringify({

bot: botType,

page: window.location.pathname,

timestamp: new Date().toISOString()

})

});

}

\\\`

2. Server-Side Detection

PHP Example:

\\\`php

function detectAIBot() {

$userAgent = $_SERVER['HTTP_USER_AGENT'];

$bots = [

'GPTBot' => 'GPTBot',

'ClaudeBot' => 'ClaudeBot',

'PerplexityBot' => 'PerplexityBot',

'Google-Extended' => 'Google-Extended'

];

foreach ($bots as $pattern => $name) {

if (stripos($userAgent, $pattern) !== false) {

// Log bot visit

logBotVisit($name, $_SERVER['REQUEST_URI']);

return $name;

}

}

return null;

}

function logBotVisit($bot, $page) {

$data = [

'bot' => $bot,

'page' => $page,

'timestamp' => date('Y-m-d H:i:s'),

'ip' => $_SERVER['REMOTE_ADDR']

];

// Save to database or file

file_put_contents(

'bot-visits.log',

json_encode($data) . "\n",

FILE_APPEND

);

}

detectAIBot();

?>

\\\`

3. Database Tracking

Store Bot Visits:

\\\`sql

CREATE TABLE bot_visits (

id INT AUTO_INCREMENT PRIMARY KEY,

bot_name VARCHAR(50),

page_url VARCHAR(255),

user_agent TEXT,

ip_address VARCHAR(45),

visit_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,

INDEX idx_bot (bot_name),

INDEX idx_time (visit_time)

);

\\\`

Query Analytics:

\\\`sql

-- Total visits by bot

SELECT bot_name, COUNT(*) as visits

FROM bot_visits

GROUP BY bot_name

ORDER BY visits DESC;

-- Most visited pages

SELECT page_url, COUNT(*) as visits

FROM bot_visits

WHERE bot_name = 'GPTBot'

GROUP BY page_url

ORDER BY visits DESC

LIMIT 10;

-- Visits over time

SELECT DATE(visit_time) as date,

bot_name,

COUNT(*) as visits

FROM bot_visits

WHERE visit_time >= DATE_SUB(NOW(), INTERVAL 30 DAY)

GROUP BY date, bot_name

ORDER BY date DESC;

\\\`

Analyzing Bot Traffic Data

Key Metrics to Track

1. Visit Frequency

  • How often each bot visits
  • Time between visits
  • Crawl patterns
  • Seasonal trends

2. Page Coverage

  • Which pages get crawled
  • Crawl depth
  • Orphaned pages
  • Content gaps

3. Bot Behavior

  • Pages per visit
  • Time on site
  • Bounce rate
  • Return visits

4. Content Performance

  • Most crawled pages
  • Bot preferences
  • Content types
  • Topic clusters

Creating Reports

Weekly Report Template:

\\\`markdown

AI Bot Activity Report - Week of [Date]

Summary

  • Total bot visits: [number]
  • Unique bots: [number]
  • Pages crawled: [number]
  • New pages discovered: [number]

Top Bots

1. GPTBot: [visits] (+/- [change]%)

2. ClaudeBot: [visits] (+/- [change]%)

3. PerplexityBot: [visits] (+/- [change]%)

Top Pages

1. [Page URL]: [visits]

2. [Page URL]: [visits]

3. [Page URL]: [visits]

Insights

  • [Key finding 1]
  • [Key finding 2]
  • [Action items]

\\\`

Visualization Tools

Free Tools:

  • Google Data Studio
  • Excel/Google Sheets
  • Tableau Public
  • Chart.js (custom)

Example Charts:

  • Bot visits over time (line chart)
  • Visits by bot type (pie chart)
  • Top pages (bar chart)
  • Hourly patterns (heatmap)

Troubleshooting Common Issues

Problem 1: No Bot Visits Detected

Possible Causes:

  • Bots are blocked in robots.txt
  • Server firewall blocking bots
  • No llms.txt file
  • Low-quality content
  • New website

Solutions:

✅ Check robots.txt allows bots

✅ Review firewall rules

✅ Create llms.txt file

✅ Improve content quality

✅ Submit to AI platforms

Problem 2: Inconsistent Tracking

Possible Causes:

  • Caching issues
  • JavaScript not loading
  • Bot detection logic errors
  • Server log rotation

Solutions:

✅ Exclude bots from cache

✅ Use server-side tracking

✅ Test detection logic

✅ Archive logs properly

Problem 3: High Bot Traffic, Low Citations

Possible Causes:

  • Content not citation-worthy
  • Poor content structure
  • Outdated information
  • Thin content

Solutions:

✅ Improve content depth

✅ Add data and examples

✅ Update regularly

✅ Optimize structure

Best Practices

1. Privacy and Compliance

GDPR Considerations:

  • Don't track personal data
  • Hash IP addresses
  • Provide opt-out
  • Document data usage

Example:

\\\`javascript

// Hash IP address

function hashIP(ip) {

return crypto.subtle.digest('SHA-256',

new TextEncoder().encode(ip)

);

}

\\\`

2. Performance

Optimize Tracking:

  • Use async scripts
  • Batch requests
  • Cache results
  • Minimize overhead

3. Data Retention

Retention Policy:

  • Keep 90 days of detailed logs
  • Aggregate older data
  • Archive annually
  • Delete after 2 years

Next Steps

Action Plan

Week 1:

  • [ ] Choose tracking method
  • [ ] Install tracking code
  • [ ] Verify data collection
  • [ ] Create baseline report

Week 2:

  • [ ] Set up dashboards
  • [ ] Configure alerts
  • [ ] Document process
  • [ ] Train team

Week 3:

  • [ ] Analyze patterns
  • [ ] Identify opportunities
  • [ ] Optimize content
  • [ ] Test improvements

Week 4:

  • [ ] Review results
  • [ ] Refine strategy
  • [ ] Scale successful tactics
  • [ ] Plan next month

Conclusion

Tracking AI bot traffic is essential for understanding and optimizing your AI search presence. Whether you use server logs, analytics platforms, or dedicated bot tracking tools, the key is to consistently monitor bot activity and use the insights to improve your content and ASEO strategy.

Start with the simplest method that works for your setup, then expand your tracking as you learn more about bot behavior and your content performance.

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