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LLM Knowledge Hub
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
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The result: outdated facts, the wrong job title, a competitor’s framing, or a flat “I couldn’t find much about them.”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
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.
A clean, authoritative profile a real reader can trust — bio, timeline, achievements, media, all in one place instead of scattered across ten tabs.
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.
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
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
Every claim carries a source with an A–E reliability tier. No invented numbers — auditable by a journalist.
~16 JSON files (facts, sources, timeline, quotes, media, services) — the machine-readable layer under the human pages.
Person / Organization / Article / Dataset / FAQ markup on every page — how Google builds the knowledge panel and rich results.
A visual map of entities and relationships — the centrepiece that makes the hub feel alive and keeps growing.
A full English mirror with hreflang — so international press and AI surface the right language version.
Sitemap submitted to Google, IndexNow ping to Bing/Yandex — additions get crawled within days, not months.
Pricing
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
Where to next
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.