On-Page SEO & Meta Tag Optimization

On-page SEO focuses on individual page elements — title tags, meta descriptions, heading hierarchy, internal links, structured data, and body content — that tell search engines what a specific URL is about. Technical SEO covers site-wide infrastructure: crawlability, indexation rules, site speed, XML sitemaps, robots.txt, and server response codes. They overlap at canonical tags and schema markup. In practice, we handle both together because a perfectly written meta description doesn't matter if Googlebot can't reach the page. Our on-page projects always include a technical crawl baseline to catch blocking issues before we touch content-level tags. Most agencies separate these into two engagements. We bundle the crawl into Week 1 of every on-page project at no extra cost.

We write build-time clamping functions in your framework — Next.js, Astro, Nuxt, or plain Node scripts for static sites. These functions accept a raw title or description string and enforce a hard ceiling: 60 characters for titles, 155 characters for descriptions. If a string exceeds the limit, the build logs a warning with the page path and current character count. In strict mode, the build fails entirely, blocking deploy. This means no one on your content team can accidentally ship a 200-character description that gets truncated in SERPs. We also run a post-build validation pass with a headless browser to confirm rendered meta tags match source — catching edge cases where client-side hydration overwrites server-rendered tags.

GEO stands for Generative Engine Optimization. It's the practice of structuring content so AI-powered search tools — ChatGPT, Google SGE, Perplexity, Bing Copilot — can extract and cite your text directly in their responses. The key format is a self-contained passage of 134-167 words that answers a specific question completely, includes a concrete number or stat, and doesn't depend on surrounding paragraphs for context. AI engines pull these blocks as citation candidates. If your content is one long undifferentiated wall of text, AI tools skip it for a competitor's tighter passage. We restructure existing body copy and write new sections specifically as GEO passages. Clients typically see AI-referred traffic appear in analytics within 60-90 days of implementation.

Most clients see measurable changes in Google Search Console within 2-4 weeks of deployment. Impressions shift first as Google re-evaluates updated titles and descriptions. Click-through rate improvements follow within 30-60 days as new snippets appear in SERPs. Ranking position changes depend on competition and domain authority — low-competition pages can jump 5-15 positions in 3-4 weeks, while competitive head terms take 60-90 days. We use IndexNow to push updated URLs immediately after deploy, which accelerates re-crawl for Bing and Yandex. For Google, we trigger re-indexing via Search Console API. Our average across 400+ projects: 34% CTR improvement and 22% impression increase within 90 days.

We write them. Every meta tag is authored by our team based on keyword research, SERP analysis, and character-limit constraints. We analyze the top 10 results for each target query, identify which title and description patterns earn the highest CTR (using Search Console click data and SERP feature analysis), and write tags that fit within enforced limits. You review and approve via a shared spreadsheet or pull request — depending on whether your site is CMS-managed or code-managed. We don't use AI-generated meta tags without human editing. Each tag is hand-checked for accuracy, brand voice, and keyword placement. Revision rounds are included in every project scope.

We implement FAQ, HowTo, Article, BlogPosting, Product, Organization, LocalBusiness, BreadcrumbList, and WebPage schema types as JSON-LD generated from typed data objects in your codebase. No WordPress plugins, no tag manager injections. Each schema type is defined as a TypeScript interface or JavaScript factory function that outputs valid JSON-LD. On every git commit, a CI step runs the output against Google's Rich Results Test API and flags errors before merge. We also validate against Schema.org's full vocabulary to catch deprecated properties. This approach means schema stays in sync with your actual page content — product prices, FAQ answers, article dates — because it reads from the same data source your templates render.

Projects range from $5,000 to $18,000 depending on site size and scope. A 50-page marketing site with blog typically runs $5,000-$8,000 for a full audit, meta tag rewrite, schema implementation, and CI validation setup. E-commerce sites with 500+ product pages range $10,000-$15,000 because we build dynamic meta tag templates and product schema generators. Enterprise sites with multi-locale requirements and complex canonical structures run $15,000-$18,000. Every project includes the technical audit, implementation, CI integration, IndexNow setup, and 90 days of Search Console monitoring. We quote fixed-price after the initial audit — no hourly billing surprises. Ongoing monthly monitoring and iteration is available as a separate $1,500-$3,000/month retainer.

We work with your existing stack. We've implemented render-time meta clamping on Next.js, Nuxt, Astro, SvelteKit, Gatsby, Hugo, Eleventy, WordPress (headless and traditional), Shopify (Liquid templates and Hydrogen), and Contentful-powered frontends. For WordPress, we replace Yoast or RankMath output with server-rendered meta tags controlled by custom functions — giving you character enforcement that plugins don't provide. For Shopify, we modify Liquid theme templates and add schema via snippet files. For headless CMS setups, we build the meta and schema layer into your frontend framework's data-fetching pipeline. No migration required. If your stack is unusual, we'll confirm compatibility in a free 30-minute technical review before scoping.