What is GEO (Generative Engine Optimization)?

GEO (Generative Engine Optimization) is the practice of structuring your content so AI assistants retrieve, trust, and quote it. Where classic SEO competes for a ranked blue link, GEO competes for a sentence inside a generated answer — the place where more and more buying decisions now start.

Why GEO matters now

People increasingly ask an assistant instead of scrolling a results page. When someone asks "who builds fast multilingual sites with good SEO," the answer they get is synthesized from sources the model could find, parse, and trust. If your content is not retrievable or not clearly structured, you are simply absent from that answer — regardless of where you rank on a traditional results page.

What actually moves the needle

• Answer-first writing. Put the direct answer in the first one or two paragraphs, then expand. Models (and skim-reading humans) reward this.
• Clean, semantic HTML. One h1, a strict heading hierarchy, meaningful alt text, no answer trapped inside client-only JavaScript.
• Structured data (JSON-LD). Organization, Service, Article, FAQPage, and BreadcrumbList give machines an unambiguous reading of who you are and what a page is about.
• Crawler access. Allow the major AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) in robots.txt, and ship a sitemap.xml.
• An llms.txt map. An emerging convention: a plain-Markdown map of your site's meaning for AI crawlers. Cheap to add, and the right signal to send.
• FAQ blocks. A focused question/answer block feeds FAQPage structured data and matches the exact shape of the prompts people ask.

How we approach it

This very site is built as the benchmark. Every page ships answer-first copy, strict semantic structure, full JSON-LD, hreflang across locales, an llms.txt map, and a live GEO checker you can run on any URL. If you want the same for your product, that is exactly what the GEO service delivers.