AI in Marketing
MCP Is Rewiring How AI Agents Run Ad Campaigns
MCP has moved from an open standard to live ad platform tooling. Here's what marketers should know before connecting AI agents to campaigns.
AI in Marketing.
AI in Marketing
AI Visibility Scores Are Not Enough: What To Track Instead
Brands are buying AI visibility tools fast, but mentions, citations and scores hide more than they reveal. Here's what to actually measure and act on.
AI in Marketing
9 AI Search Engines Tested: What Marketers Should Know
Semrush hands-tested nine AI search engines. Here's what the results mean for your visibility strategy, citation sources and buyer research paths.
AI in Marketing
Build Your First AI SEO Agent: A 9-Step Playbook
Semrush published a step-by-step guide to building an AI SEO agent. Here is the workflow, the guardrails and where agents actually pay off.
AI in Marketing
XPON Sells Its Agency Arm to Bet Everything on AI Martech
XPON Technologies is offloading Alpha Digital and its Google marketing-platform arm to double down on AI martech and customer data. Here's what it signals.
AI in Marketing
Google DigiPivot 2026 Opens: 2,000 Seats, AI Now Core
Google's DigiPivot 2026 opens with 2,000 seats and AI baked into the curriculum. Who's eligible, what's changed, and how marketers should use it.
AI in Marketing
Harvard: Public Barely Objects To AI Replacing SEO Jobs
Harvard research scored search marketing 2.31 out of 7 on moral objection to automation. What protects your job isn't ethics - it's a closing competence gap.
AI in Marketing
Reinforcement Learning Is Now Running Your Ad Bids
Reinforcement learning quietly powers Smart Bidding, Meta ranking and DSP optimisation. Here's how the loop works, and where it fails advertisers.
AI in Marketing
Why LSP, A Coding Protocol From 2016, Runs Your Ad Stack
The Language Server Protocol turned 10 and quietly became the blueprint for MCP - the layer now carrying Google, Meta and X ad automation. Here's why it matters.
AI in Marketing
AI Marketing Explained: Three Layers Every Marketer Must Know
AI marketing splits into three layers: prediction, generation and agents. Here's what the adoption data, protocols and EU rules mean for your campaigns.
