Selected articles
Microsoft is expanding Audience Ads eligibility for cryptocurrency exchanges in markets where crypto advertising is already allowed. That sounds like a simple policy update—but it changes how crypto brands can build demand, how performance marketers should structure full-funnel measurement, and how compliance teams must operationalize approvals across regions and creatives.
Google clarified how “restricted targeting in personalized advertising” can limit audience-based delivery for Demand Gen and Discovery. Here’s what changed, why it matters for regulated and sensitive categories, and a practical playbook to keep reach, measurement, and compliance intact.
Google quietly escalated its SEO hiring guidance: it now urges businesses to report deceptive SEO providers to the FTC and warns against dubious AI optimization and “Google-approved” tool claims. Here’s what changed, how to reduce risk, and how approved execution systems like AYSA keep SEO/AEO work accountable.
AI agents won’t visit your site as “blank” users anymore. They’ll arrive carrying private context from file stores, CRMs, and user documents—and your content will compete against that. Here’s what changes, why it matters for SMEs and agencies, and the practical, execution-first playbook to earn citations and conversions anyway.
Google is rolling out AI search opt-outs and new AI performance reporting in Search Console—starting in the UK under regulatory pressure. But publishers and businesses still lack click and CTR data to make the decision rationally. Here’s what changed, why it matters, and a practical plan to manage AI visibility without guessing.
Google’s latest Search Central guidance draws a hard line: third‑party SEO tools don’t reflect Google’s internal data, and “approved by Google” claims should be treated with skepticism. Here’s what changed, why it matters for SEO plus AEO/GEO, and how to build an execution system that’s grounded in first‑party signals—without surrendering strategy to a single vendor.
Google’s new AI optimization guide tells marketers to stop chasing shortcuts like llms.txt, AI-specific rewriting, and schema obsession for AI Overview citations. But that guidance is only complete if your goal is “getting cited.” If your goal is “getting chosen” by AI agents that take actions on your site, the playbook expands — and execution discipline matters more than ever.
Star ratings alone don’t reliably predict business performance. What does: consistent online reputation management treated as operational infrastructure—especially as AI tools recommend fewer local businesses than Google search ever did. Here’s how to build the system.
AI 1.0 helped marketers move faster. AI 2.0 forces marketers to prove impact. Here’s what actually changed, why search and discovery are becoming agentic, and how SMEs and agencies can rewire for measurable outcomes—without drowning in tools.
Sundar Pichai says Google is filtering “low‑quality clicks” as AI Search evolves. For businesses, that’s not reassurance—it’s a new definition of value. Here’s what changed, why attribution is breaking, and how SMEs and agencies should rebuild search strategy for AI Overviews, AI Mode, and the era of fewer—but higher‑intent—visits.
