Browsing: AI

Fine-tuning a marketing LLM can beat vendor licensing on cost and control, but only past a specific usage threshold. Here’s the math.

Before granting AI agents budget access, brands need a vetting framework covering permissions, audit trails, liability, and kill switches.

Fine-tuning beats vendor subscriptions once volume, brand voice, or compliance risk crosses a specific threshold — here’s the math.

Reddit cut spam 20% using ML classifiers and behavioral signals — here’s what brands need to know before seeding campaigns.

One year after LSE’s fully-automated AI marketing pilot, the results reveal exactly where human oversight is non-negotiable.

Google’s May 2026 AI search guidance reshapes on-page technical SEO — here’s how brands should actually respond, not panic.

Early agentic bidding rollouts overspent, misfired, and burned budgets — here’s what went wrong and how brands can avoid the same fate.

Smalk wants brands to buy placement inside LLM answers using SEO-style signals. Here’s what’s real, what’s risky, and what to test.

Smalk wants brands to pay for placement inside LLM answers. Here’s what its generative engine advertising model actually promises, and what it can’t.

Reddit’s AI content-quality filters are quietly repricing brand seeding, rewarding authentic posts and taxing lazy campaigns.