This collection brings together practical guidance about Author: Marius Dosinescu.
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Selected articles
Google is testing payments for content used in AI answers, admitting Search Console can’t report AI “positions” usefully, and Cloudflare is separating AI training permissions from search crawling. Here’s what changed, why it matters, and the practical playbook SMEs and agencies need now.
Organic traffic is no longer a reliable proxy for business results. Here’s how to measure what matters in 2027, where to invest across SEO/AEO/GEO, and how to execute safely with an approval-based system like AYSA.
Cloudflare’s Bot Preference Sync aims to eliminate a dangerous gap: what your robots.txt says vs. what your edge actually enforces. But turning AI crawler policy into three category toggles—then writing those choices into a public policy file by default—forces businesses to treat robots.txt like governance, not housekeeping. Here’s how to audit the risk, choose a policy that matches your business model, and operationalize it with approved execution.
Google’s new Search profile badges look helpful on the surface—but they signal a deeper shift: Search is becoming a destination where users follow creators, not a router that reliably sends traffic. Here’s what changed, why it matters for SMEs and publishers, and how to build a measurable strategy for AI citations, Discover visibility, and on-site conversions.
AI answer layers are breaking the old bargain: ranking used to equal traffic, and traffic used to equal revenue. By 2027, the surface that ranks and the surface that earns will be different—and many businesses won’t be able to “check” what’s happening with traditional analytics. Here’s the practical measurement and execution playbook for SMEs and agencies.
Cloudflare’s new “Disallow AI Training” control is a meaningful shift: it can publish AI-training opt-outs in robots.txt while still allowing key mixed-use crawlers (Googlebot, Applebot, Bingbot) to access your site for search—if they’re deemed “Accountable.” Here’s what changed, why it matters for SMEs, publishers, and agencies, and a practical plan to implement and monitor it without accidental traffic loss.
Google added four experimental ad experience metrics to the Chrome UX Report (CrUX). That sounds like a publisher-only story—until you realize it’s field data, it’s measurable at scale, and it could reshape how performance, SEO, and monetization trade-offs get made. Here’s what changed, why it matters, and a practical plan to monitor and act—without breaking revenue.
Microsoft Advertising is drawing a hard line on AI-generated and AI-manipulated ad creative: disclose synthetic content when required, preserve provenance (watermarks/metadata), and don’t assume a label makes a misleading ad acceptable. Here’s what changed, where brands get exposed, and a practical compliance + performance playbook for SMEs and agencies—plus how AYSA helps operationalize monitoring and approved execution.
Google is testing an “AI contribution” pilot inside Search Console that pays publishers when their content meaningfully shapes AI answers in Gemini, AI Overviews, and AI Mode. Here’s what changed, why it matters beyond media, and how SMEs and agencies should adapt their SEO/AEO/GEO execution to win visibility—and revenue—in an AI-first search world.
Google has acknowledged that Search Console’s AI search reporting—especially “position”—doesn’t reflect how links are actually surfaced inside AI Overviews and AI Mode. Here’s what changed, why it breaks old SEO reporting, and a practical measurement + execution plan for SMEs and agencies using AYSA’s approved-change workflow.
