Design & SEO

Technical SEO: The Foundation That Gets You Found

Technical SEO is the invisible architecture behind every high-ranking website. It has nothing to do with keyword stuffing or writing blog posts for the sake of word count. It is the structural work that determines whether search engines can crawl, index, and understand your site in the first place. I treat technical SEO as a first-class engineering concern, not an afterthought bolted on after launch.

Crawlability and Indexation

If Googlebot cannot crawl your pages efficiently, nothing else matters. I audit and configure robots.txt directives, ensure clean URL structures with no duplicate content traps, and set up proper canonical tags so search engines know exactly which version of a page to index. Every site I build gets an XML sitemap that is automatically generated and submitted to Google Search Console and Bing Webmaster Tools. I also handle pagination signals, hreflang tags for multilingual sites, and crawl budget optimization for larger sites where unnecessary pages can dilute indexing priority.

Meta Tags and On-Page Signals

Every page gets a unique, descriptive title tag and meta description written to communicate value to both search engines and the humans reading them in search results. I configure Open Graph and Twitter Card meta tags so your content looks polished when shared on social media. Heading hierarchy is structured logically — a single H1 per page, with H2s and H3s that break content into scannable, semantically meaningful sections. I also ensure image alt attributes are descriptive and contextual, not just filed with generic placeholder text.

Sitemaps, Robots, and Internal Linking

A well-structured internal linking strategy does more for your rankings than most people realize. I build navigation and content structures that distribute link equity effectively across your site. Breadcrumb navigation, contextual links within body content, and footer links all play a role. I configure XML sitemaps with proper priority and change frequency hints, and I set up robots.txt files that allow crawlers to reach important pages while blocking thin or duplicate content from wasting crawl budget.

Core Web Vitals: Speed as a Ranking Factor

Google uses Core Web Vitals as a direct ranking signal. These are not abstract metrics — they measure real user experience. I optimize every project to pass all three thresholds, and I monitor them in production to catch regressions before they affect your rankings or your users.

Largest Contentful Paint (LCP)

LCP measures how long it takes for the largest visible element on the page to finish rendering. The target is under 2.5 seconds. I achieve this by optimizing critical rendering paths, implementing responsive image formats like WebP and AVIF with proper srcset attributes, lazy-loading offscreen images, preloading hero images and above-the-fold fonts, and minimizing render-blocking CSS and JavaScript. Server-side rendering and efficient caching strategies also play a major role. Every millisecond matters, and I measure the impact of each change with Lighthouse, PageSpeed Insights, and real-user monitoring data from Chrome User Experience Report (CrUX).

Cumulative Layout Shift (CLS)

CLS measures visual stability — how much the page layout shifts while content is loading. Nothing frustrates users more than clicking a button only to have it jump out from under their finger because an ad or image loaded late. I prevent layout shift by explicitly setting width and height attributes on all images and video elements, reserving space for dynamically loaded content, using CSS contain where appropriate, and ensuring web fonts load without causing invisible or swapped text that reflowed the layout. The target is a CLS score below 0.1, and I consistently deliver scores well under that.

Interaction to Next Paint (INP)

INP replaced First Input Delay in 2024 and measures the responsiveness of a page to user interactions throughout the entire session, not just the first click. The target is under 200 milliseconds. I keep INP low by minimizing long tasks on the main thread, breaking up expensive JavaScript operations with requestIdleCallback and yielding strategies, using web workers for heavy computation, debouncing event handlers where appropriate, and keeping DOM sizes reasonable. Heavy client-side frameworks can destroy INP scores if not managed carefully, which is why I favor lean, server-rendered architectures supplemented with targeted JavaScript only where interactivity is genuinely needed.

Structured Data and Schema Markup

Structured data is how you communicate directly with search engines in their own language. By adding JSON-LD schema markup to your pages, you give Google and Bing explicit signals about what your content represents — whether it is a local business, a product, a FAQ, a review, an event, or an article. This is what powers rich results: those enhanced search listings with star ratings, pricing, FAQ dropdowns, breadcrumb trails, and business information that take up more visual space in search results and drive higher click-through rates.

I implement schema markup on every project as standard practice. For local businesses, that means LocalBusiness or ProfessionalService schema with accurate NAP (name, address, phone) data, opening hours, and service areas. For e-commerce sites, I add Product schema with pricing, availability, and review aggregation. I use BreadcrumbList schema to generate breadcrumb trails in search results, FAQPage schema for frequently asked questions, and Article or BlogPosting schema for content-driven sites. Every implementation is validated against Google's Rich Results Test and Schema.org documentation to ensure there are no errors or warnings that would prevent rich results from appearing.

I also monitor structured data performance in Google Search Console to track which rich results are being generated, which pages have errors, and where there are opportunities to add new schema types that could improve visibility.

Figma: Design-to-Code Without the Guesswork

I use Figma as my primary design tool because it eliminates the gaps that traditionally plague the handoff between design and development. Since I handle both sides of the process, Figma serves as a single source of truth where every spacing value, color token, font size, and component variant is defined precisely and translates directly into code.

Component-Based Design Workflow

Every project starts with a component library in Figma. Buttons, form fields, cards, navigation elements, modals — all of these are built as reusable components with clearly defined variants for different states (default, hover, active, disabled, error). This mirrors the component architecture I use in code, whether the front end is built with React, Vue, or plain HTML and CSS. The result is pixel-perfect implementation with no ambiguity about how something should look or behave.

Design Tokens and Consistency

I define design tokens in Figma for colors, typography scales, spacing units, border radii, and shadow values. These tokens map directly to CSS custom properties or Tailwind configuration values in the codebase. When a client requests a brand color change or a typography update, I change the token in one place and it propagates everywhere — in both the Figma file and the code. This approach eliminates the drift between design files and live code that plagues so many projects.

Responsive Design and Prototyping

Every Figma project includes layouts for mobile, tablet, and desktop breakpoints. I use auto layout and constraints to demonstrate how components flex, wrap, and stack at different viewport widths. Interactive prototypes let clients experience navigation flows, form interactions, and page transitions before a single line of code is written. This catches usability issues early, reduces revision cycles, and gives clients confidence in the direction before development begins.

Design Systems That Scale

For businesses that are going to grow — adding new pages, new features, new product lines — a design system is not a luxury. It is an investment that pays for itself within the first few months. I build design systems that include a documented component library, a defined set of patterns for layout and interaction, and clear guidelines for extending the system without breaking consistency.

A well-built design system means new pages can be assembled from existing components in hours instead of days. It means every developer who touches the codebase produces work that looks and feels consistent. And it means design reviews become faster because the foundational decisions have already been made and documented.

I deliver design systems as both Figma libraries and code component libraries, depending on the tech stack. The two stay in sync because they are built from the same token definitions, and I document every component with usage guidelines, accessibility notes, and example implementations.

SEO and Design: How They Work Together

These disciplines are not separate line items on a proposal. They are interconnected layers of the same build process. A fast site with broken crawlability will not rank. A beautifully designed site with a 6-second load time will hemorrhage visitors. I deliver both because the whole point is to build something that works — not just something that looks good in a screenshot or passes a single audit.

My Approach to Every Project

I start every engagement with a technical audit. If the site already exists, I run it through Lighthouse, Screaming Frog, Google Search Console, and PageSpeed Insights to identify the biggest issues and the fastest wins. If it is a new build, I establish the SEO architecture, design system, and performance budget before writing any code.

Throughout the build, I test against real Core Web Vitals data, validate structured data with Google's testing tools, and review every page against the design files in Figma to ensure nothing drifted. Before launch, I run a full pre-launch SEO checklist covering redirects, canonical tags, sitemap submission, analytics configuration, and Search Console verification.

After launch, I monitor performance and search visibility to catch regressions and identify new opportunities. SEO and performance optimization are not one-time tasks. They are ongoing disciplines that require attention as content changes, traffic patterns shift, and search engine algorithms evolve.