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.
HubSpot’s AI lead scoring promises efficiency, but does it outperform manual rules? A practical, ROI-focused evaluation for marketing leaders.
L2T’s .ai rebrand and its identity-management module signal a dealership-style AI adoption wave. Here’s what it means for retail and CPG buyers.
AEO and GEO overlap in vendor pitches but solve different problems. Here’s how to scope the retainer before you sign.
Ranking page one on Google means nothing to AI answer engines; here’s the technical audit that finds and fixes the gap.
Fypro.ai’s AI product copy promises speed at scale, but does it convert better than human writing? We tested the claims.
Zappi’s Amplify AI predictive testing promises faster, cheaper concept validation. Here’s whether mid-market brands should trust it over traditional testing.
A governance checklist for evaluating autonomous social posting agents before letting AI publish brand content without human review.
Improved CRM-DSP-web attribution feeds are forcing CFOs to abandon vanity commission metrics for creator spend that ties to real revenue.
How to configure GA4 and CDPs for CRM identity resolution so AI-referral traffic from ChatGPT, Gemini, and Claude stops hiding in organic search.
A technical checklist for generative engine optimization on product pages: schema, claim density, and structured data AI shopping engines actually cite.