SEO + GEO — optimization for Google and AI search
Bilingual SEO + GEO (Generative Engine Optimization). Top organic Google rankings without ad-spend dependency plus visibility in ChatGPT, Perplexity, Google AI Overviews through Wikidata, Wikipedia, and structured data. Bing indexing = access to AI sources.
SCOPE
What's included
TARGET
Who it's for
PROCESS
Process
Audit + competitive landscape
2-3 weeks. GSC, Semrush, Lighthouse, AI sources of competitors.
Architecture + content plan
Keyword clusters, hreflang strategy, structured data plan, AI-source roadmap.
Build
Static landings, Wikidata entity, Wikipedia draft, press refs. 6-10 weeks.
Iterate + measure
Monthly: GSC + Bing WMT + AI mentions. Cluster expansion based on results.
WHY US
Benefits
Top of page 1 without ad-spend
In the Royal Town case: avg position 21 → 7 in a year, impressions ×2.7 on like-for-like YoY.
AI-search visibility
ChatGPT, Perplexity, Google AI Overviews cite the brand via Wikidata + Wikipedia + press refs. No dedicated AI SEO campaign.
Bilingual scaling
RO/EN/UK/RU natively. Each locale sounds native — no machine translation.
Long-term reputation
Ad-spend changes; structured data doesn't. Wikipedia + 17 press refs work for years.
FAQ
FAQ
Generative Engine Optimization — optimization for AI search (ChatGPT, Perplexity, Google AI Overviews, Copilot). Includes structured data, Wikidata, Wikipedia, Bing indexing.
First GSC shifts — 6-8 weeks. Noticeable YoY effect — 6-12 months. AI mentions may appear earlier.
GEO adds work on structured data, AI sources (Wikipedia, press refs), and Bing indexing. The goal is visibility not only in Google but in LLM answers.
No. SEO without guarantees. But in Royal Town, position moved from 21 to 7 in a year — that's a real result, not a promise.
Yes. Iași, Chișinău, Bucharest, Cluj, Kyiv, Dubai. Bilingual hreflang + local schema.
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