The AEO Data Readiness Model: Why Data Infrastructure Determines AI Visibility

The Core Problem The AEO Data Readiness Model evaluates how an organization’s data infrastructure impacts AI citation potential. Most AEO advice fails because it addresses the wrong layer. Content ofptimisation cannot fix broken data architecture. Schema markup cannot reference data that does not exist. AI systems → cite → trusted sources; Trust → requires →… Read More

What “Self-Service” Really Means

Marketing promises: “No technical resources needed!” Marketing reality: “Let me Slack the data team again.” Every “self-service” CDP still routes through IT. The only question is how many tickets. The bottleneck isn’t the tool. It’s the org chart. The market reality in 2026 makes this paradox even more stark. While vendors continue positioning their platforms… Read More

The Future of Data-Driven Marketing: Server-Side Tracking and First-Party Data

Data-driven marketing is defined as a marketing approach that relies on customer data to guide decisions, targeting, and creative strategies. As third-party cookies disappear due to privacy regulations like GDPR and changes such as Apple’s iOS 14 update, the industry is shifting to server-side tagging, Conversions API (CAPI), and first-party data collection through loyalty programs… Read More