Measuring landing-page performance requires a structured framework that connects search visibility, engagement, and conversion outcomes to reliable data sources. At the visibility level, metrics such as impressions and average position indicate how effectively a page appears in search results, while segmentation by query, device, or geography reveals where optimisation opportunities exist. Demand capture is assessed through clicks and click-through rate, supported by diagnostic signals like snippet relevance or title rewrites, which can influence how listings appear in search interfaces. Conversion performance focuses on business outcomes—conversion rate, total conversions, and acquisition cost—supplemented by behavioural indicators such as funnel drop-off, form completion, and CTA interaction rates tracked through analytics platforms. Engagement quality provides context for user satisfaction and intent alignment, using measures like session engagement, time on page, and segmented behaviour patterns. Technical and experiential factors complete the picture: Core Web Vitals reflect real-world loading and interaction performance, while technical SEO hygiene ensures indexability, correct canonicalisation, and valid structured data. Together, these metrics form an integrated evaluation model that allows teams to diagnose issues, prioritise optimisation efforts, and continuously improve landing-page effectiveness.

Google’s E-E-A-T framework — Experience, Expertise, Authoritativeness, and Trustworthiness — has fundamentally shaped how I approach SEO writing. Rather than treating it as a checklist, I use E-E-A-T as a quality lens to ensure every piece of content I publish is credible, transparent, and genuinely useful. In this article, I break down how I apply each pillar in practice, drawing directly from my journal and real projects. From writing with lived experience and technical depth to supporting claims with credible sources and clear authorship, this piece explains how trust-driven content is built — not optimised for algorithms, but written for people first and rewarded by search engines over time.

Technical writing and SEO writing may look similar on the surface, but they serve very different purposes. This guide breaks down the key differences between technical writing and SEO writing — from audience and tone to structure, skills, and real-world examples — helping writers choose the right approach for every project.

SEO isn’t about keyword stuffing or writing for algorithms — it’s about clarity, structure, and search intent.
This guide explains how SEO actually works for content writers, breaking down crawling, indexing, and ranking in simple terms. With real examples and practical tips, it shows how to write SEO-friendly content that ranks in search engines without sacrificing quality or voice.