LLM Knowledge Hub
Become the source AI engines cite about you.
When someone asks ChatGPT, Gemini or Google about you, the answer is stitched together from scattered fragments — a thin Wikipedia line, old interviews, guesswork. An LLM Knowledge Hub is the one public, source-backed page network built so search and AI cite your version instead of inventing one.
The problem
AI already answers questions about you. You just don't control the answer.
Search and AI engines build a picture of every notable person and company from whatever they can find — and they prefer sources that are structured, consistent, and citable. A Wikipedia stub, a few interviews and a LinkedIn page are none of those things.
The result: outdated facts, the wrong job title, a competitor’s framing, or a flat “I couldn’t find much about them.” In the AI-answer era, that is the first impression — and you didn’t write it.
What it is
One hub, built for three readers at once.
Not a website and not an alternative to Wikipedia — a structured reputation system. Every hub serves humans, journalists, and machines from the same source-backed core.
People
A clean, authoritative profile a real reader can trust — bio, timeline, achievements, media, all in one place instead of scattered across ten tabs.
Journalists & partners
A media-kit with copy-ready bios (50 / 100 / 250 words), verified dates, and source-cited facts — so coverage about you starts from your version, not a guess.
AI & search engines
Structured data (JSON-LD, datasets, an answer-pack for RAG) that ChatGPT, Gemini, Claude and Perplexity can actually read, cite, and reproduce correctly.
Live proof
A hub we built is already on Google's first page.
Rostyslav Valikhnovski — a Ukrainian reconstructive surgeon. We built his hub at valikhnovski.com. Search his name on Google today:
The hub itself: valikhnovski.com → — bio, timeline, institute, specializations, media kit and an interactive knowledge graph, in Ukrainian and English.
40+
indexed pages (UA + EN)
16
machine-readable datasets
0/0
schema errors / warnings
We don’t promise a ranking — no honest agency can. We build the source-backed, structured page that search and AI can actually use, then submit and index it. Visibility follows from being the cleanest source, not from a trick.
What's inside a hub
The human page is the surface. The structure underneath is the point.
Source-backed facts
Every claim carries a source with an A–E reliability tier. No invented numbers — auditable by a journalist.
Structured datasets
~16 JSON files (facts, sources, timeline, quotes, media, services) — the machine-readable layer under the human pages.
JSON-LD schema
Person / Organization / Article / Dataset / FAQ markup on every page — how Google builds the knowledge panel and rich results.
Interactive knowledge graph
A visual map of entities and relationships — the centrepiece that makes the hub feel alive and keeps growing.
Bilingual (UA + EN)
A full English mirror with hreflang — so international press and AI surface the right language version.
Indexed & pinged
Sitemap submitted to Google, IndexNow ping to Bing/Yandex — additions get crawled within days, not months.
Pricing
One hub. One price.
Honest, source-first work — disclosed, policy-compliant, no manufactured claims.
LLM Knowledge Hub
€1,000
Turnaround: 2–3 weeks.
Order a hub →Optional monthly refresh keeps facts and the graph current.
Included
- A bilingual hub (UA + EN) on its own domain or a subpath
- Source-backed bio, timeline, achievements, media and practice pages
- Full JSON-LD + ~16 datasets + answer-pack for AI/RAG
- Interactive knowledge graph + journalist media-kit
- Sitemap submit + IndexNow ping so it gets crawled fast
Where to next
Pages readers open after this one
Own the answer AI gives about you.
Send us the name (a person or a company) and what you'd want the world to find. We'll come back with a hub plan and the exact pages we'd build.