AI Search Optimization with Astro and Laravel is a hands-on course in building websites that AI search tools such as ChatGPT and Gemini can understand and cite, using Astro static generation, a Laravel API, JSON-LD, sitemaps and llms.txt. It suits PHP and Laravel developers and tech leads, and you leave able to deploy a production site on Apache or Nginx.
Many people now look for information by asking ChatGPT, Perplexity, Claude or Gemini, or by reading Google AI Overviews, instead of clicking traditional search results. Websites that AI can read easily and choose to cite have the advantage. This is the approach of GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), which has to be done in the website's code, not only in its marketing copy.
This course is designed for developers. Learners build a real corporate website with Astro 6 static site generation, which produces complete HTML at build time, pulling data from a Laravel 13 API secured with Sanctum and a MySQL or MariaDB database. They then add every layer of GEO, including metadata, canonical tags, hreflang, JSON-LD, FAQPage, E-E-A-T, sitemaps, robots.txt and llms.txt, deploy on Apache or Nginx with automatic rebuilds, and measure whether AI crawlers are really collecting the site. (2 days, 6 hours per day, 12 hours in total, Intermediate level.)
Course Details
This course is the 2026 edition of Rank Your Website on AI Search with Astro & Laravel 13 & MySQL/MariaDB. It has been updated for Astro 6 with the Content Layer API and for Laravel 13, and adds performance, IndexNow and AI crawler policies. It runs for 2 days, 6 hours per day (12 hours in total, 09:00-16:00), as lectures with labs on a single workshop website built from the database through to deployment. Intermediate level. Learners take home the source code for every lab and a GEO-ready checklist for their own projects.
Section 1: From SEO to GEO and AEO
Section 2: An Architecture That AI Can Find
Section 3: Lab: A Laravel 13 API
Section 4: Lab: Astro 6 for SSG
Section 5: Lab: Metadata, Canonical Tags and Headings
Section 6: Lab: JSON-LD and an FAQ System
Section 7: E-E-A-T That AI Can Verify
Section 8: Answer-Ready Content
Section 9: Lab: Sitemaps, robots.txt and llms.txt
Section 10: Performance for GEO
Section 11: Lab: Deploying on Apache/Nginx
Section 12: Workshop: Measurement and the GEO-Ready Checklist
SEO aims to rank pages in search results so people click through, while GEO, Generative Engine Optimization, aims to have AI such as ChatGPT Search, Perplexity, Claude, Gemini and Google AI Overviews choose your content to cite in their answers. The foundations are shared, such as well-structured HTML, sitemaps and site speed, but GEO focuses on content that answers questions directly, clear sources, credible authors and structured data machines understand. No method guarantees that AI will cite your site.
Add a script tag with type application/ld+json, containing an object with @context set to https://schema.org and @type set to FAQPage. Set mainEntity to an array of Question items, each with name as the question and acceptedAnswer as an Answer whose text is the answer. The content must match the questions and answers visible on the page. In Astro, a common approach is a shared component that takes FAQ data from the API and generates the JSON-LD automatically, validated with Schema Markup Validator or Rich Results Test.
llms.txt is a Markdown text file placed at the root of a website. It is a proposed standard from llmstxt.org that helps AI grasp a site quickly, with a short description of what the site is about and links to its key pages. It is not yet an official standard and not every AI provider reads it, so use it alongside robots.txt, which sets permissions for AI crawlers, and a sitemap that lists every page. It is best generated automatically from real data at build time so it never goes stale.
It suits web developers, full stack and backend developers in PHP and Laravel, tech leads and website owners planning a rebuild, and technical SEO specialists who can code. You should write PHP and have basic Laravel experience, understand HTML, CSS and JavaScript, have used MySQL or MariaDB, and be comfortable with Git and the command line. No prior Astro or SEO experience is needed.
You will be able to design an Astro 6 SSG architecture with a Laravel 13 API secured by Sanctum and MySQL/MariaDB, create JSON-LD for Organization, Article, Person, BreadcrumbList and FAQPage, handle metadata, canonical tags, hreflang, robots.txt, sitemaps and llms.txt, tune performance, deploy on Apache or Nginx with automatic rebuilds and track AI crawlers. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your team, with examples adapted to your work, such as using the same content structure and type of business as the website your team looks after. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
Articles are published in Thai.
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