Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
Salesforce, HubSpot, and Zoho all claim AI-readiness, but none natively structure CRM data for generative engine optimization. Here’s the real gap.
AI traffic grew 187% year over year — here’s the technical audit framework to check if your site can actually be discovered and cited by answer engines.
90% of marketers have identity data but can’t operationalize cross-channel attribution. Here’s why the gap persists and how to close it.
A technical audit of Gemini’s Creator Studio for conversational product search, with a brand-side checklist for feed readiness and risk.
Amazon’s agentic ad-generation tools compress creative production from weeks to hours, forcing media buyers to rethink review workflows and approval gates.
CRM-native identity add-ons close attribution gaps faster than standalone CDPs for most mid-market brands, but not always.
Native data-warehouse marketplace apps are reshaping identity resolution vendor selection around infrastructure fit, not feature checklists.
Native data-warehouse marketplace apps are reshaping identity resolution vendor selection, favoring speed and governance over legacy MDM builds.
A practical framework for evaluating AI compliance tools that catch bad affiliate disclosures before your TikTok Shop livestream goes live.
Zeotap, Databricks CustomerLake, and Snowflake Native Apps let brands run marketing workloads without moving data. Here’s how they actually compare.