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    <title>Santosh Pradhan — MarTech Solutions Architect</title>
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    <description>Architecture patterns, agentic AI in marketing, and what's actually working at enterprise scale. By Santosh Pradhan, MarTech Solutions Architect in Munich, Germany.</description>
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    <copyright>© 2026 Santosh Pradhan</copyright>
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      <title>Entity Graph Optimisation (EGO): A New Discipline for the Post-Web Era</title>
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      <description>EGO (Entity Graph Optimisation) is the new discipline beyond SEO, GEO, and AEO — governing how AI systems understand and retrieve your entity from knowledge graphs, not web pages.</description>
      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
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      <category>EGO</category>
      <category>Entity Graph Optimisation</category>
      <category>GEO</category>
      <category>AEO</category>
      <category>AI Search</category>
      <category>Knowledge Graph</category>
      <category>Schema Markup</category>
      <category>Wikidata</category>
      <category>LLM</category>
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      <title>AtomicAttributeGraph (AAG): A Graph-Native Customer Data Model for Field-Level Truth</title>
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      <description>AAG — AtomicAttributeGraph — models each customer attribute value as a graph node with timestamped relationships. Eliminates record-level timestamp pollution in CDPs. Databricks-native implementation with DLT, GraphFrames, and Unity Catalog.</description>
      <pubDate>Fri, 17 Apr 2026 00:00:00 GMT</pubDate>
      <author>studio@pradhan.is (Santosh Pradhan)</author>
      <category>CDP</category>
      <category>Graph Data Model</category>
      <category>Customer 360</category>
      <category>Databricks</category>
      <category>Delta Lake</category>
      <category>Identity Resolution</category>
      <category>Data Architecture</category>
      <category>DLT</category>
      <category>Golden Record</category>
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      <title>Building Customer 360 on Databricks and Hightouch: A Complete Implementation Guide</title>
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      <description>Step-by-step guide to building Customer 360 on Databricks and Hightouch. Covers source connectors for Salesforce, SAP, Shopify, Segment, and Zendesk, Delta CDF field-level extraction, golden record resolution, and Hightouch reverse ETL activation.</description>
      <pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate>
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      <category>Customer 360</category>
      <category>Databricks</category>
      <category>Hightouch</category>
      <category>Delta Lake</category>
      <category>Salesforce</category>
      <category>SAP</category>
      <category>Shopify</category>
      <category>Segment</category>
      <category>Reverse ETL</category>
      <category>Data Engineering</category>
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      <title>The Golden Record Framework: Field-Level Identity Resolution for Customer 360</title>
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      <description>The Golden Record Framework: how to resolve customer identity at field level, not record level. Covers attribute history tables, CDC replay, snapshot diffing, and field-level freshness logic for CDP and Customer 360.</description>
      <pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate>
      <author>studio@pradhan.is (Santosh Pradhan)</author>
      <category>Customer 360</category>
      <category>Golden Record</category>
      <category>Identity Resolution</category>
      <category>CDP</category>
      <category>Data Architecture</category>
      <category>Databricks</category>
      <category>Delta Lake</category>
      <category>Adobe Experience Platform</category>
      <category>Salesforce Data Cloud</category>
      <category>MACH</category>
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      <title>Agentic AI and the Brand Damage Problem: Six Architectural Patterns Every MarTech Leader Must Understand</title>
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      <description>Six agentic AI deployment patterns in MarTech — from multi-agent SaaS orchestration to MCP-governed single agents — with blast radius analysis, real brand damage incidents, and an enterprise ADR decision framework.</description>
      <pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate>
      <author>studio@pradhan.is (Santosh Pradhan)</author>
      <category>Agentic AI</category>
      <category>AI Governance</category>
      <category>MarTech</category>
      <category>Brand Safety</category>
      <category>MCP</category>
      <category>Multi-Agent</category>
      <category>AI Risk</category>
      <category>Marketing Automation</category>
      <category>ADR</category>
      
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      <title>Unified Analytics: Combining GEO, Web, and Social Data Into One Decision Layer</title>
      <link>https://www.pradhan.is/blogs/unified-analytics-geo-web-social</link>
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      <description>Build a unified analytics layer combining GEO/AEO analytics, web analytics (GA4), and social analytics. Includes the complete data model, lifecycle-stage metrics, and business decisions it enables.</description>
      <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
      <author>studio@pradhan.is (Santosh Pradhan)</author>
      <category>Unified Analytics</category>
      <category>GEO Analytics</category>
      <category>Web Analytics</category>
      <category>Social Analytics</category>
      <category>Data Modelling</category>
      <category>Marketing Intelligence</category>
      <category>AI Search</category>
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      <title>The GEO &amp; AEO Playbook: How to Get Cited by AI Engines at Every Stage of the Customer Journey</title>
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      <description>Complete GEO and AEO playbook: optimise for AI engines at every lifecycle stage. Covers content strategies, JSON-LD schema, quick wins, and AI engine tactics for Perplexity, ChatGPT, Gemini, and more.</description>
      <pubDate>Sun, 22 Mar 2026 00:00:00 GMT</pubDate>
      <author>studio@pradhan.is (Santosh Pradhan)</author>
      <category>GEO</category>
      <category>AEO</category>
      <category>AI Search</category>
      <category>Generative Engine Optimization</category>
      <category>Answer Engine Optimization</category>
      <category>Schema Markup</category>
      <category>Content Strategy</category>
      <category>Perplexity</category>
      <category>ChatGPT</category>
      <category>Gemini</category>
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      <title>Event Modelling: A Complete Guide for Solution Architects</title>
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      <description>Learn Event Modelling from first principles. Covers the blueprint, Given/When/Then patterns, workflow steps, and best practices for event-driven architecture design.</description>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
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      <category>Event Modelling</category>
      <category>Event-Driven Architecture</category>
      <category>Solution Architecture</category>
      <category>CQRS</category>
      <category>Event Sourcing</category>
      <category>System Design</category>
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