Crawling, indexing, Core Web Vitals including INP, JavaScript rendering in modern frameworks, JSON-LD schema written from scratch, log file analysis at scale, hreflang for international sites, and migrations without traffic loss. The exact playbook Rambabu uses on Orka Socials retainers, taught at full depth inside Module 7 of the SEO Mastery Course (26 lessons, the largest module in the program).
By Rambabu Thapa · Former Technical SEO Expert at Xtensio (LA)
Technical SEO is the practice of optimizing the infrastructure of a website so search engines can crawl, render, index, and rank its pages efficiently. It covers crawl budget management, indexation control, Core Web Vitals including Interaction to Next Paint (INP), JavaScript rendering, JSON-LD schema markup, hreflang for international sites, log file analysis, and site migrations. Technical SEO sits underneath content and link signals, including the semantic SEO topical authority layer, as the foundation that makes them count. Taught at full depth inside Module 7 (26 lessons) of the SEO Mastery Course at Orka Socials Academy.
Each area gets dedicated lessons inside Module 7 of the SEO Mastery Course. Each one ships with a real-website assignment.
How Googlebot discovers and crawls pages. Diagnosing crawl waste from server logs. Robots.txt directives, XML sitemaps, internal linking depth, and orphan pages. Tools like Screaming Frog and Sitebulb at scale.
~3 hrs of lessonsWhy pages get crawled but not indexed. Reading the Google Search Console Coverage report. Canonical tags, noindex tags, duplicate content. Index bloat from tag pages, faceted navigation, and parameter URLs.
~3 hrs of lessonsThe 2026 Core Web Vitals thresholds. INP replacing FID in 2024 and what changed. Diagnosing failures with PageSpeed Insights, Chrome User Experience Report, and Real User Monitoring tools.
~4 hrs of lessonsWriting JSON-LD from scratch (no plugins). Organization, Person, Product, Course, Article, FAQ, HowTo schema. Linking entities with @id. Multi-type entities. Validation in Google Rich Results Test. Schema markup is also the technical infrastructure that powers AI SEO visibility in ChatGPT, Perplexity, and Google AI Overviews.
~5 hrs of lessonsHow Googlebot renders JS in 2026. SSR vs SSG vs ISR strategies in Next.js, SvelteKit, Astro. Hydration mismatches. Chrome DevTools rendering audit. When to ship a JS-heavy site and when not to.
~3 hrs of lessonsParsing web server logs to see exactly what Googlebot crawls. Crawl budget waste detection. Orphan page discovery. Server response analysis. Tools: Screaming Frog Log File Analyser and BigQuery for big sites.
~2 hrs of lessonsMulti-region multilingual setups. Hreflang reciprocity. ccTLDs vs subdomains vs subdirectories. Geo-targeting in Google Search Console. Common hreflang errors and how to fix them.
~2 hrs of lessonsThe pre-launch checklist. URL mapping. 301 redirect chains. Schema and Core Web Vitals preservation. Sitemap resubmission. 30-day post-launch monitoring. The exact playbook Orka Socials uses on every migration.
~2 hrs of lessonsMost Nepal SEO courses teach schema through plugins. The SEO Mastery Course teaches you to write JSON-LD from scratch so you can debug, extend, and link entities with confidence. Clean entity schema is also the technical layer that powers AI SEO citations in ChatGPT, Perplexity, and Google AI Overviews. Here is a small example of an Article schema with a linked Person author.
// Article schema with @id continuity to a Person entity { "@context": "https://schema.org", "@type": "Article", "@id": "https://example.com/post/#article", "headline": "How to Run a Technical SEO Audit", "author": { "@id": "https://example.com/#author" }, "publisher": { "@id": "https://example.com/#organization" }, "datePublished": "2026-04-25", "dateModified": "2026-04-25", "about": [ { "@type": "Thing", "name": "Technical SEO", "sameAs": "https://en.wikipedia.org/wiki/Search_engine_optimization" } ] }
Key technique: every entity has an @id. Other entities reference it by @id instead of duplicating data. This builds a knowledge graph LLMs can parse cleanly. Module 7 includes 12 production-ready JSON-LD templates students copy and adapt.
INP replaced FID as a Core Web Vital in March 2024. Here are the current 2026 thresholds and what each one measures.
Largest Contentful Paint. Time until the largest visible element (hero image, headline, or main image) renders. Optimize via image compression, lazy loading, server response time, and removing render-blocking JavaScript.
Interaction to Next Paint. Replaced FID. Measures latency of all user interactions (clicks, taps, key presses), not just the first one. Pages with heavy JS event handlers or main-thread work fail INP and need performance refactoring.
Cumulative Layout Shift. Measures unexpected layout shifts during page load. Fix via reserved space for images and ads, web fonts loaded with font-display swap, and avoiding dynamic content insertion above existing content.
The exact 6-step audit the Orka Socials team runs at the start of every retainer. Each step uses the same tools you will use after the course.
Run a full crawl. Filter for 4xx and 5xx errors, redirect chains, duplicate title tags, missing H1 headings, thin content under 200 words, and pages blocked by robots.txt. Export the list of issues to a spreadsheet.
Open the Coverage report. Compare submitted URLs to indexed URLs. Investigate any "Discovered, currently not indexed," "Crawled, currently not indexed," or "Excluded by noindex" statuses. These are indexation leaks.
Run PageSpeed Insights on 5 representative pages: homepage, top category, top product or article, contact page, and one deep page. Record LCP, INP, and CLS for both mobile and desktop. Use the field data, not just lab data.
Run the Google Rich Results Test and Schema.org Validator on key pages. Confirm Organization, Article, Course, Product, and Person entities parse without warnings or errors. Fix any conflicts using @id continuity.
In Chrome DevTools, open the Network tab, set throttling to Slow 3G, and disable JavaScript on a top page. Compare rendered content to the source HTML. Identify content that does not appear without JavaScript.
Group findings by impact and effort. High-impact, low-effort fixes go first. Document every fix as a developer ticket with the affected URLs, the issue, the fix, and the validation method. Hand to the development team.
The SEO Mastery Course teaches you to use each one hands-on the way working SEOs do. The course covers the workflow and decisions. You bring or sign up for the tools when you need them on real projects.
Technical SEO gets 26 lessons, more than any other module. Plus reinforcement across Modules 4 (URL structure for semantic SEO topical clusters), 6 (on-page technical), and 11 (analytics and reporting).
The largest module in the SEO Mastery Course. Capstone is a full technical audit on a real website.
Technical SEO is the practice of optimizing the infrastructure of a website so search engines can crawl, render, index, and rank its pages efficiently. It covers crawl budget management, indexation control, Core Web Vitals (page experience signals), JavaScript rendering, schema markup, hreflang for international sites, log file analysis, and site migrations. Technical SEO sits underneath content and link signals, including the semantic SEO topical authority layer, as the foundation that makes them count.
Interaction to Next Paint (INP) replaced First Input Delay (FID) as a Core Web Vital in March 2024. INP measures the latency of all user interactions on a page (clicks, taps, key presses) with a 200 millisecond threshold for a Good score. Pages with heavy JavaScript event handlers or synchronous tasks on the main thread often fail INP and need performance refactoring to keep their Core Web Vitals credit.
JSON-LD (JavaScript Object Notation for Linked Data) is the format Google recommends for adding structured data to web pages. It is a script tag in the HTML head that describes entities on the page (Organization, Person, Product, Article, FAQ) in a machine-readable format. JSON-LD feeds two systems: Google's rich result eligibility and large language model knowledge graphs, making it the technical foundation of AI SEO visibility in ChatGPT, Perplexity, and Google AI Overviews. Module 7 of the SEO Mastery Course teaches JSON-LD from scratch with templates ready to copy.
Modern frameworks like React, Next.js, and SvelteKit render content with JavaScript on the client. Googlebot can render JavaScript but it is slower and queued separately from initial crawl. Sites that fail to render critical content server-side often get partial indexation, slower discovery of new pages, and ranking issues. JavaScript SEO covers diagnosing what Googlebot sees, choosing the right rendering strategy (SSR, SSG, ISR), and fixing hydration issues that hurt rankings.
Log file analysis means parsing your web server's access logs to see exactly which URLs Googlebot crawls, how often, and what response codes it gets. It reveals crawl budget waste (Googlebot crawling URLs you do not care about), orphan pages, slow server responses, and indexation gaps that no other tool can show. Tools like Screaming Frog Log File Analyser and BigQuery handle the parsing.
The core technical SEO toolkit includes Screaming Frog SEO Spider for crawl audits, Sitebulb for visual audits and reports, Google Search Console for indexation and Core Web Vitals data, PageSpeed Insights and Lighthouse for performance, Chrome DevTools for rendering checks, the Schema.org Validator and Google Rich Results Test for schema, and BigQuery for log file analysis at scale. Module 7 of the SEO Mastery Course teaches you to use each one hands-on; you bring or sign up for the tools when you need them on real projects.
A complete technical audit on a 200-page site takes 6 to 10 hours of focused work for an experienced SEO. The audit covers crawl, indexation, Core Web Vitals, schema, rendering, internal linking, and a priority fix list. Students inside the SEO Mastery Course complete a real-website audit as their Module 7 capstone assignment, with feedback from Rambabu in the weekly coaching call.
Site migrations require a strict pre-launch checklist: full URL map of old to new (one-to-one), 301 redirects for every changed URL, preserved or improved Core Web Vitals, clean schema markup, the sitemap submitted in Search Console, and a 30-day post-launch crawl-stat monitor. Skipping any of these causes traffic loss. Module 7 covers the migration playbook used at Orka Socials with a real before-and-after example.
Hreflang is an HTML attribute that tells search engines which language and region version of a page to show to which user. Hreflang must reciprocate: every page must list every other version, including itself. Implementation errors are common and cause traffic to bleed across regions.
Yes. Technical SEO is the largest module in the course at 26 lessons. Module 7 covers crawl budget, indexation, Core Web Vitals (LCP, INP, CLS), JSON-LD schema, JavaScript rendering, robots.txt, XML sitemaps, hreflang, pagination, and migrations. The capstone is a full technical audit on a real website with a priority fix list.
Crawl diagnostics, schema markup, JS rendering, Core Web Vitals work on this page comes from live retainer audits, not theory. The same audits get taught the next week in the SEO Mastery Course.
Grab Rambabu's free SEO gifts. Templates and checklists used on real client technical audits. No payment, no spam.
Claim your free SEO gifts →The largest module in the SEO Mastery Course. Capstone is a full technical audit on a real website with priority fix list.
Early bird pricing for the June 1, 2026 cohort. Returns to NPR 50,000 after this cohort fills.
