Growth
Building to Learn: What Three Weeks of Prototyping Taught Us About Agentic Marketing Optimization
A three-week prototype explored whether simulated product-intent scores could help improve AI shopping visibility. The work exposed a useful boundary: a lab can assess semantic fit, but only external evidence can test discovery or business impact.
Who Owns the Pixel? ChatGPT and the Repricing of Advertising
ChatGPT ads put conversational context and advertiser outcome data on different sides of a measurement boundary. That changes what brands and agencies can know, test, and credibly claim.
Jev as Ad Tech's System 1: Fast Decisions, Slow Learning
How marketing agents can use Jev to classify search terms, tag creative, route leads, process customer feedback and verify proposed actions while code and people keep control.
The Agentic Commerce Readiness Stack: From Product Discovery to Authorized Action
Commerce readiness needs two kinds of evidence: that an agent can interpret a product for a defined need, and that any action follows verified authority. Simulations help test hypotheses but do not establish visibility on shopping platforms.
ChatGPT Ads: An Agency Playbook for a Controlled Test
How to design, instrument and evaluate a ChatGPT Ads pilot, from account access and creative to conversion events, bidding, independent reporting and a credible decision about what to do next.
The Map That Talks Back: Gemini, Local Discovery and Geography-Based Advertising
Gemini connects local questions to place recommendations, navigation and supported actions. What must work between a useful answer and a successful visit, and what changes for local businesses, advertising and human choice?