Agent Analytics

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Overview

Profound Agent Analytics provides enterprise-grade visibility into how AI systems interact with your digital presence. As AI search engines and assistants become primary discovery channels, understanding and optimizing for AI visibility is crucial for modern digital strategy.

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The AI Analytics Challenge

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The Rise of AI Web Interactions

AI systems are revolutionizing how information is discovered and consumed online. Search engines like ChatGPT, Claude, and Google Gemini don’t just index your content – they interpret it, synthesize it, and present it to users in entirely new ways.

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Why Traditional Analytics Fall Short

Traditional web analytics tools were designed for human visitors who:

• Execute JavaScript

• Maintain cookies and sessions

• Follow predictable browsing patterns

AI systems operate differently:

• They bypass JavaScript execution

• Don’t maintain session state

• Access content through specialized crawlers

• Exhibit varying behavioral patterns based on their purpose (indexing, training, or real-time assistance)

This fundamental mismatch makes traditional tracking methods ineffective for monitoring AI interactions.

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The Profound Solution

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Architecture Built for AI

Profound’s analytics platform is engineered specifically for tracking AI systems:

• Server-Side First: Implementation at the infrastructure level ensures complete visibility of AI interactions

• Edge Integration: Direct CDN integration captures requests before caching, providing the most accurate data

• Advanced Bot Detection: Sophisticated algorithms differentiate between various types of AI crawlers

• High-Performance Backend: Columnar OLAP databases enable real-time analysis of billions of requests

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Comprehensive AI Visibility

Track interactions from major AI platforms:

• OpenAI (ChatGPT)

• Anthropic (Claude)

• Google (Gemini/VertexAI)

• Perplexity

• Microsoft (Bing)

• Apple

• Meta

• DeepSeek

• Emerging AI systems

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Real-Time Intelligence

Monitor AI interactions as they happen:

• Track which content AI systems access

• Understand how your content appears in AI responses

• Identify content gaps and optimization opportunities

• Analyze AI crawling patterns and frequencies

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Implementation Approaches

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CDN Integration

For websites using Content Delivery Networks, we recommend integrating at the CDN level:

• Maximum Accuracy: Capture requests before caching occurs

• Complete Coverage: Track all AI interactions, including cached content

• Simplified Setup: Native integration with major providers:

  • Cloudflare

  • Vercel

  • Amazon CloudFront

  • Fastly

  • AWS Global Accelerator (Q3 2025)

  • Akamai (Q3 2025)

  • GCP CDN (Q3 2025)

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Direct Server Integration

For applications without CDN infrastructure:

• API Integration: Direct integration with your application servers

• Log Ingestion: Process server logs for AI interaction data

• Custom Solutions: Tailored implementations for unique infrastructures

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Key Features

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AI Crawler Analytics

• Detailed crawler identification and classification

• Real-time tracking of crawl events

• Pattern analysis and trend monitoring

• Coverage analysis and gap detection

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Performance Metrics

• Response time analysis

• Content accessibility metrics

• Cache effectiveness monitoring

• Geographic distribution of AI access

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Content Visibility

• Page-level AI interaction tracking

• Content representation in AI responses

• Optimization recommendations

• Content effectiveness scoring

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Advanced Reporting

• Trend analysis

• Export capabilities

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Technology Stack

Profound is built on enterprise-grade technology:

• Detection Engine: Advanced machine learning models for accurate bot classification

• Data Processing: High-performance columnar databases for real-time analytics

• API Layer: RESTful APIs for seamless integration

• Security: Enterprise-grade encryption and access controls

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Getting Started

Ready to gain visibility into your AI presence?