Technical diagnosis
I inspect how pages are built, rendered, linked, indexed, and measured, so recommendations are based on evidence rather than generic SEO checklists.
I help websites become easier to crawl, understand, measure, and improve. My work connects technical SEO, AI visibility, analytics, and conversion insight into practical recommendations that teams can actually implement.
My background is not traditional SEO. I started in finance and accounting, then moved into process automation, data engineering, analytics, and growth. That path shaped the way I approach technical SEO: I look at websites as systems.
A page may have good copy but still fail because it loads slowly, is poorly linked, has weak metadata, renders important content through JavaScript, lacks structured data, or does not clearly answer the questions users and AI systems need answered.
This is where my analytical background becomes useful. I can inspect HTML and JavaScript, review analytics events, analyze funnels, identify page experience problems, and turn technical findings into clear recommendations for business teams, marketers, and developers.
The goal is not to produce a long report. The goal is to identify what blocks search visibility, AI discoverability, page experience, and conversion performance — then prioritize what to fix first.
I inspect how pages are built, rendered, linked, indexed, and measured, so recommendations are based on evidence rather than generic SEO checklists.
I connect SEO issues to user behavior, funnel drop-offs, conversion paths, and business impact, helping teams focus on the fixes that matter first.
I help structure pages so search engines and AI-powered systems can understand the topic, entity, intent, and useful answers behind the content.
I combine technical inspection, user behavior analysis, and structured content thinking so SEO recommendations are grounded in how websites actually work and how users actually behave.
These achievements are included because they support the way I work as an SEO consultant: diagnose the system, measure behavior, automate where possible, and connect the work to business outcomes.
View CFA credentialImproved conversion performance by 42% through behavioral analytics, payment funnel analysis, and growth strategy.
Built analytics and reporting systems used by finance and accounting teams for decision-making, reconciliations, and operational visibility.
Reduced cloud processing costs by approximately 90% using efficient data processing technologies and backend optimization.
Built financial APIs, ETL pipelines, dashboards, and automated reporting workflows that saved hundreds of hours of manual work.
Supported machine learning anomaly detection workflows for financial transactions, data quality, and fraud-prevention use cases.
Analyzed website behavior, content quality, payment flows, booking errors, and user journeys to identify opportunities affecting conversion and customer experience.
I use short excerpts here to keep the page focused on client value. The full recommendations are available on LinkedIn.
“Matteo has outstanding skills in data and analytics, with expertise in Python. He has strong problem-solving skills, which he applies to tackle complex business challenges.”
“Matteo always endeavors to drive new innovations and get into the why of a question. I have worked with him on multiple deployments, and it is always a learning experience with him.”
“His skills go beyond technical capabilities in Python and data analysis. He is an excellent problem solver, proactive, a good communicator, a change leader, and a technology evangelist.”
“His expertise spans both data-related topics and corporate finance, making him a well-rounded professional. He is a quick learner and an excellent teacher.”
“His ability to translate complex requirements into efficient solutions is truly commendable.”
I can help you understand what is working, what is broken, and what to fix first across technical SEO, AI visibility, analytics, and conversion journeys.