This collection brings together practical guidance about Author: Marius Dosinescu.
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Selected articles
Markdown mirrors and text-only views help AI read your pages—but they often remove the very layer agents need to complete tasks: structure, forms, and callable actions. Here’s how to rebuild for “doable” web experiences with semantic HTML, accessibility, and emerging tool surfaces—plus how AYSA monitors, prepares, and executes approved fixes.
Google’s September 2026 spam update is rolling out globally and may take up to two weeks. Here’s what spam updates typically target, how to diagnose real impact vs. noise, and a practical, SME-friendly action plan—plus how AYSA helps you monitor, prepare, approve, and execute fixes safely.
LLM answers compress research into seconds—but they also remove the cues people used to judge quality. That shift breaks classic content funnels, distorts measurement, and makes misinformation stick. Here’s a practical, business-first playbook to regain control with AI search visibility monitoring, AEO/GEO-ready content, and approved execution.
Amazon Marketing Cloud’s expanded purchase history changes what “new-to-brand,” LTV, repeat windows, and winback really mean. Here’s a practical, SME-friendly playbook for turning that deeper dataset into budgets, audiences, and SEO/AEO actions you can execute with confidence.
ChatGPT ads and earned AI mentions serve different jobs—and you can’t manage what you can’t measure. Here’s a practical, SME-friendly playbook to build on-site evidence, track GEO patterns, test paid placements against clear outcomes, and use AYSA to monitor, propose, approve, and execute the site changes that improve AI visibility over time.
More search freelancers report rising GEO (generative engine optimization) requests than classic “rank on Google” requests—but they still believe SEO is the stronger long-term bet. Here’s what changed, why pricing pressure is real, and the practical operating system SMEs and agencies need to measure and improve visibility in both Google and AI answer engines.
Google Ads Customer Lifecycle Goals can be powerful for big brands—but for many SMEs they add complexity, distort ROAS through value adjustments, and accidentally exclude future customers. Here’s how to decide if you should use them, what can go wrong, and a practical playbook (plus how AYSA helps you execute safely).
Lighthouse 13.5 adds an experimental audit for “Agentic Resource Discovery” (ARD) catalogs—an early signal that the agentic web is becoming testable. But Lighthouse’s checks lag the newest ARD proposal, so you can “fail” (or show Not Applicable) even when you’ve implemented the latest draft. Here’s how to interpret the audit, avoid false negatives, and prepare your site for AI agents without breaking SEO fundamentals.
Shopify’s CEO calls unreviewed AI output “slop grenades” — work that looks complete but silently dumps verification and cleanup onto someone else. Here’s how SMEs and agencies can build review gates, measurable standards, and approved execution so AI speeds teams up instead of creating rework, risk, and search visibility losses.
Google expanded its EEA “aggregator” and “supplier” search result units to include local business queries—changing how directories and local providers can appear for services, dining, and things to do. Here’s what changed, why it matters, and a practical playbook for SMEs and agencies using approved execution with AYSA.ai.
