// software service
SEO & Generative Engine Optimization
For founders and operators who want to be found in Google AND cited by AI search like ChatGPT, Perplexity, and Gemini. The goal is to rank for buyer-intent keywords and get surfaced inside AI answers through clean metadata, structured data, and product-led SEO pages built into the app. The work is practical: product shape, database, auth, payments, mobile, SEO, and deployment all have to fit together.
// what this solves
Built for real product work, not demo software
This site, flametruckparking, jayskitchen, and birchspace are all product-led SEO builds with JSON-LD schema, sitemaps, and programmatic landing pages that compound over time. The search intent here is not just hiring a coder. It is finding someone who can connect product, revenue, operations, and engineering decisions.
// common use cases
- ▸programmatic SEO landing pages
- ▸schema / structured data (JSON-LD)
- ▸technical SEO and Core Web Vitals
- ▸AI / generative engine optimization (GEO)
- ▸local SEO and service-area pages
// build process
How the work is scoped
audit current indexing, schema, and Core Web Vitals
map buyer-intent keywords to real product pages
build programmatic pages with schema and internal linking
measure in Search Console and iterate on what ranks
// stack
Technologies used where they fit
// faq
Questions before starting
+What is GEO and how is it different from SEO?
SEO targets traditional search engines like Google. GEO (generative engine optimization) makes your content easy for AI assistants such as ChatGPT, Perplexity, and Gemini to cite. Both rely on clean structure, schema, and authoritative content, so they are built together.
+Do you build SEO into the product or treat it as a separate site?
SEO pages are built into the app itself — service pages, programmatic landing pages, blog content, schema, and sitemap entries live in the same codebase as the product flows, so they stay accurate and fast.