Technical SEO, GEO/AEO and content strategy — done directly by the architect who builds your system. For this kind of work, that's the fastest path to a result. The proof is this site: prerendered, JSON-LD, llms.txt, measured through Search Console and GA4.
Most SEO/marketing vendors sell a checklist and a report, not implementation. They don't touch code, and GEO/AEO (because it's new) is rarely understood in depth. And not every engagement needs the same delivery model.
An audit tells you to "shorten your title tags" or "add structured data" — and stops there. Who implements it? You, or your developer who doesn't have time. A recommendation without execution is just another report in a drawer.
AI answers (ChatGPT, Perplexity, Google AI Overviews) are changing where people get information. Traditional SEO agencies talk about it in marketing buzzwords, but nobody implements llms.txt, FAQPage JSON-LD or entity optimization for you — because that's engineering work, not copywriting.
Project management earns its keep on large, multi-team programs — there it's essential. On a single site or one SEO/GEO engagement, though, it often adds more layers between you and the person doing the work than the job actually needs.
We don't do generic SEO checklists. We touch the code directly, measure against real data, and implement everything we recommend on our own site first — before we offer it to you.
Core Web Vitals, structured data, hreflang, sitemap, canonical URLs — implemented directly in code, not handed off as a recommendation for someone else. The same person who builds your system fixes the SEO bug too.
llms.txt, FAQPage and Article JSON-LD, entity optimization, robots.txt with AI crawlers explicitly allowed (GPTBot, ClaudeBot, PerplexityBot). The goal: be the source AI cites, not a site AI ignores.
Google Search Console (what you already rank for), a Google autocomplete sweep (what people actually type), and striking-distance analysis (positions 5-20, where growth is fastest). No invented target keywords — only what's in the data.
You talk directly to the architect who holds the system in their head full-time and sees the same patterns across other companies' projects, not just one client a year. For SEO/GEO work on a single site that's the fastest path to a result; on larger programs it makes sense to pair it with project management.
Impressions, clicks, CTR, position, conversions — each with a sentence on what the number means and what to do about it. No made-up "engagement score" disconnected from real business outcomes.
Articles about KSeF integration, the ISDOC format or e-invoicing are written by the architect who actually ships this into production — not a copywriter rephrasing Wikipedia. Both AI and humans can tell the difference between a verified fact and a generic phrase.
This site is a live case study of our own GEO/AEO work. In a single day we found and fixed a structured-data bug (JSON-LD pointed to the wrong language URL — directly undermining the trust signal for AI crawlers), identified striking-distance queries from real GSC data, and shipped 4 new articles based on a Google autocomplete keyword-gap analysis — instead of inventing topics at a desk. The site ships trilingual hreflang, Article and FAQPage JSON-LD on every article, and an llms.txt with instructions for AI models.
We'll run a quick technical and content audit — what's blocking indexing, where the striking-distance opportunities are, and whether you're even visible to AI crawlers. We'll reply within 24 hours with concrete findings, not a generic deck.
Request an SEO/GEO audit →