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Marketing · Thursday, 28 May 2026 · Issue 3 · 11 stories

Google AI Agents and Overviews Transform Search

Content & Social

Content Engineering: AI‑Powered Pipelines to Scale Content Production

The Ahrefs blog explains content engineering as the practice of building AI‑driven pipelines that automate research, drafting, SEO, publishing, and measurement, letting teams produce more content faster without sacrificing quality. It outlines the two engineer types, core practices, pipeline design, skill/prompt engineering, and knowledge management, and showcases Ahrefs’ new Agent A platform for automated SEO tasks.

ahrefs.com ↗17 min read at source

Paid & Advertising

Marketers Trust AI for Media Buying but Shun It for Brand Creation

Marketers are adopting AI to automate media buying and boost efficiency, yet they resist letting AI shape brand messaging due to fears of loss of control and consumer backlash. Studies show shoppers tolerate AI‑driven ads if relevant but still prefer human‑crafted creative. Consequently, brands confine AI to bidding, brainstorming, and scaling, keeping brand voice human‑led.

digiday.com ↗3 min read at source

TikTok US Sale Signals New Ad Landscape for Brands

The US TikTok business has been bought by a US‑led investor group, ending ByteDance’s direct control. For advertisers, the transition could bring tighter data privacy compliance, a revamped ad platform and more transparency, but also uncertainty around pricing and campaign stability. Brands should monitor the rollout and adjust their TikTok strategies accordingly.

neilpatel.com ↗5 min read at source

Martech & Analytics

IAB Tech Lab issues guidance to help publishers manage AI bot traffic

IAB Tech Lab unveiled new guidance on managing AI crawlers and bots, giving publishers and content owners a framework to decide access permissions and mitigate infrastructure strain. The document, open for public comment until June 26, 2026, complements the CoMP API and outlines operational, financial, and strategic options for AI bot traffic.

martech.org ↗2 min read at source

How Structured Metadata Fuels AI-Driven Marketing

Organizing schema, product attributes, and image tags lets AI models accurately index, personalize, and surface content, giving brands a competitive edge in search and recommendation engines. The article shows how companies, from photo‑printing services to Pinterest, leverage rich metadata to power AI‑driven product discovery, content organization, and automated storytelling.

martech.org ↗6 min read at source

You’re caught up.

That was all 11 stories in the 28 May issue.