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.
Without unified identity resolution, GEO strategies feed AI models fragmented, contradictory brand data that no citation tactic can fix.
A practical framework for evaluating AI attribution dashboards that connect social engagement to actual sales, not just clicks.
TikTok’s new attribution signals force marketers to rethink which metrics belong in the boardroom versus the platform dashboard.
A practical framework for evaluating agentic AI orchestration platforms against real CRM and RevOps integration requirements, not vendor demos.
A technical framework for migrating from vanity metrics to revenue tracking by logging influencer touches against expansion pipeline.
Demand Gen Report’s benchmark data exposes why CRM and ad-platform attribution rarely match — and how to build a pipeline that reconciles them.
Meta’s social-action attribution model can inflate ROI reports if misconfigured — here’s how to weight engagement events correctly.
Agentic browsers are quietly becoming shopping agents. Here’s how to audit ChatGPT Atlas and Perplexity Comet for feed discoverability now.
ChatGPT Shopping’s merchant verification requirements demand documentation, feed hygiene, and compliance review before a single product gets listed.
We tested AI agents that turn messy inventory files into TikTok Shop feeds, and only some are worth the merchant risk.