AI chats
ChatGPT, Gemini, Claude and Perplexity get the facts in machine-readable form: datasets, llms.txt, an answer pack. Every fact has a source.
more accurate answers about youData formats →LLM Knowledge Hub
LLM Knowledge Hub: a website of facts about you for Google and AI chats
We build a source website about a person, company or project: biography, activity, timeline, achievements, media, answers to common questions. Every fact links to its source. For search engines and AI chats the same data is duplicated in machine-readable form: JSON-LD, datasets, llms.txt. Price €1,200 for a person, €1,500 for a company, delivery in 4 weeks.
// €1,200 person · €1,500 company · 4 weeks · Ukrainian and English · your domain or a subpath
AI assistant · web searchauto
Who is Rostyslav Valikhnovski?
Searching sources…✓ 3 sources found
Vvalikhnovski.com/biography1Vvalikhnovski.com/clinic2Vvalikhnovski.com/academy3
Rostyslav Valikhnovski is a Ukrainian plastic and reconstructive surgeon, Honored Doctor of Ukraine and PhD in medicine.1 In 1998 he founded Valikhnovski Surgery Institute in Kyiv2, and later Valikhnovski Academy, an online platform for doctors.3
✓ every statement links to a hub page with a source
Who were The New English?
Searching sources…✓ 3 sources found
Nthenewenglish.uk/questions1Nthenewenglish.uk/archive2Nthenewenglish.uk/timeline3
The New English were a London indie pop band of the late 1980s from Fulham.1 Their tickets, posters, fanzines and publicity sheets are collected in an archive2; gigs, recordings and documents are laid out on a 1983–2019 timeline.3
✓ every statement links to an archive document with a scan
€1,200 / €1,500fixed price per hub: person / company
4 weeksfrom brief to indexing
16datasets in the Valikhnovski hub
A–Erating of every source
01 AI reputation
Reputation in AI search: how an LLM hub presents a biography and activity
ChatGPT, Gemini and Google answer questions about you from what they find. If the sources are scattered and outdated, the answer will be inaccurate. An LLM hub keeps the facts in one place: who you are, what you do, what proves it, how it developed.
What is known about Company N?
Company N is probably an IT company from Manchester. Its founder is Mark N., who used to work at a bank. According to a forum, it had supply problems in 2021. No information about its products was found.
- 1confused with another company
- 2outdated information
- 3source: an anonymous forum
- 4activity not described
Company N is a manufacturer of industrial sensors, founded in London in 2014.1 It supplies 14 countries and opened a plant in Wrocław in 2023.2 Its founder is Emily N.3
- 1company register · source A
- 2business publication · source C
- 3official website · source A
- ✓links lead to hub pages
- 01Who you areName and its spellings, position, role, city. AI does not confuse you with another person or company.Hub structure →
- 02What you doActivity, products, focus areas, projects. In your own wording.Examples →
- 03What proves itEvery fact links to a source rated A to E.How we check →
- 04TimelineDated events, from the founding to the latest news.Relationship graph →
02 Live examples
LLM hub examples: a surgeon and a music band
The hub of surgeon Rostyslav Valikhnovski is on the first page of Google for his name and in the knowledge panel. The archive of the band The New English brought documents from the 1980s together on one site.
valikhnovski.comgoogle.com/search?q=Rostyslav+Valikhnovski
Hub home page: profile, credentials, institute, academy, specialisations. Twenty more pages below it, plus an English version.The hub appears in the featured block, twice more in organic results and in Google's knowledge panel: name, age, family, profession.
Rostyslav Valikhnovski
plastic and reconstructive surgeon · Kyiv
Founder of Valikhnovski Surgery Institute. A hub on its own domain: biography, clinic, academy, credentials and media with links to sources.
46URLs in the sitemap, UA + EN
16JSON datasets
50entities in the knowledge graph
- Biography, education, clinic, practice, specialisations
- Achievements, quotes, media, videos, a media kit for journalists
- Interactive knowledge graph and timeline
- llms.txt, datasets and Person / Organization / FAQ markup
thenewenglish.uk/timeline/thenewenglish.uk/questions/
Timeline: gigs, recordings and documents from 1983 to 2019 on one scale, with every event listed by year below.Questions and answers: a direct answer with its sources listed underneath, by archive document number.
The New English
London indie pop band of the late 1980s
The band's archive website: scans of tickets, posters, fanzines and publicity sheets, songs, gigs, timeline. In English, on its own domain.
18archive documents with scans
14JSON datasets
13songs · 9 gigs
- A page for every document with its scan and description
- Songs, gigs, a 1983–2019 timeline
- Questions and answers with sources
- A Markdown copy of every page, llms.txt and datasets for AI
03 Inside
Inside an LLM hub: pages for people and data for machines
One fact of the hub exists in five formats: for the reader, for Google and for AI chats. The example is an answer from The New English archive.
thenewenglish.uk/questions/<script type="application/ld+json">thenewenglish.uk/data/answers.jsonthenewenglish.uk/llms.txtthenewenglish.uk/questions/index.md
The New English / Questions
Where were The New English from?
Fulham, in south-west London.
Sources
A08Band publicity biographyA14Fanzine interview, first page// FAQPage in the code of /questions/ { "@type": "Question", "name": "Where were The New English from?", "acceptedAnswer": { "@type": "Answer", "text": "Fulham, in south-west London." } }
// answers.json · 14 answers { "id": "q.where", "question": "Where were The New English from?", "answer": "Fulham, in south-west London.", "sources": ["A08", "A14"], "last_substantive_revision": "2026-11-06" }
# The New English Archive > A curated archive of photographs, gig documents, > interviews and recordings from The New English, > a London indie pop band of the late 1980s. ## Start here - [Questions and answers](https://thenewenglish.uk/questions/index.md): direct answers with sources - [Timeline](https://thenewenglish.uk/timeline/index.md): gigs, recordings and documents from 1983 to 2019
## Where were The New English from? Fulham, in south-west London. (Sources: [A08](https://thenewenglish.uk/archive/band-promotional-biography/), [A14](https://thenewenglish.uk/archive/band-interview-first-page/))
- Facts with sourcesEvery statement links to a source and has a reliability rating from A to E.How we check →
- DatasetsAbout 16 JSON files: facts, sources, timeline, quotes, media, services.Relationship graph →
- JSON-LD markupPerson, Organization, Article, Dataset and FAQ on every page. Google uses it for the knowledge panel and rich results.Example in Google →
- Relationship graphAn interactive map of people, organisations, events and sources.See it →
- Ukrainian and EnglishTwo language versions with hreflang: search shows the right language.What the price includes →
- IndexingAfter launch we submit the sitemap to Google and send IndexNow to Bing and Yandex.Stages →
04 Benefits
What an LLM hub gives you: AI chats, search, press, partners, clients, team
A hub is one source of facts about you. AI chats and search engines use it, and so do people who check you before a publication, a deal or a first call.
Google search
JSON-LD markup helps Google build the knowledge panel and rich results. The Valikhnovski hub is on the first page for his name.
knowledge panel and resultsExample →Journalists
A media kit: 50, 100 and 250-word biographies, verified dates, facts with sources.
Company N is a manufacturer of industrial sensors, founded in London in 2014. It supplies 14 countries.
Company N is a manufacturer of industrial sensors, founded in London in 2014. It supplies 14 countries and opened a plant in Wrocław in 2023. It works with energy and transport companies.
Company N is a manufacturer of industrial sensors, founded in London in 2014. It supplies 14 countries and opened a plant in Wrocław in 2023. Then: founders, products, awards, events by year with dates and sources…
Partners and investors
Timeline, credentials, projects and sources on one site. Checking you before a deal does not mean collecting data from many places.
fast due diligenceRelationship graph →Clients
Experience, credentials, publications and media mentions with links. A client sees verified facts before getting in touch.
trust in the primary sourceExamples →Team
One version of the facts for the website, presentations, PR and answers to journalists. New facts are added in one place.
one version of the factsHub structure →Archive
Documents, photos, media and events with dates and sources in one place. Example: The New English band archive.
an organised archiveBand archive →Inaccuracies about you
When someone writes about you inaccurately, there is a page of verified facts to point to in your reply.
an answer to inaccuraciesAI reputation →05 Stages
How we build an LLM hub: six stages in 4 weeks
First we collect the sources, then we write the pages. A fact without a source does not go into the hub.
- 1BriefWho the hub is about, what people should find, languages, own domain or a subpath.Order a hub
- 2Sources rated A–EWe collect public sources and your documents and give each a reliability rating.Order a hub
- 3Facts and timelineEvery fact gets a link to its source:Order a hub
facts.json,timeline.json. - 4Pages in UA + ENBiography, achievements, media, questions and answers, media kit. JSON-LD markup on every page.Order a hub
- 5Machine layerDatasets, an answer pack for AI,Order a hub
llms.txt, Markdown copies, the knowledge graph. - 6IndexingSitemap to Google, IndexNow to Bing and Yandex. Then, if you wish, a monthly update of facts and the graph.Order a hub
Source rating A–E
This is the scale in the Valikhnovski hub. The rating describes the type of source, not whether a statement is true.
Aprimary official
Binstitutional reports
Cauthoritative media
Dsocial media
Eaggregators, encyclopedias
- Article in a peer-reviewed journalA
- Report of a professional associationB
- Interview in a national newspaperC
- Instagram postD
- Wikipedia articleE
06 Relationship graph
The relationship graph of an LLM hub: entities, facts, sources and events
A demo on the data of Rostyslav Valikhnovski's hub: 110 nodes and 184 links. Every fact is connected to the people and organisations it is about and to the sources it rests on.
auto
drag a node · click for its card
07 Price
LLM Knowledge Hub pricing: €1,200 for a person, €1,500 for a company
A fixed price for each type of hub. Delivery in 4 weeks from brief to indexing.
For a person
€1,200
Founder, doctor, scientist, artist, public figure
Biography, career timeline, publications, media, answers to common questions.
Every fact with a source, a machine-readable layer (JSON-LD, datasets, llms.txt), delivery in 4 weeks.
Order a hub →Optional: a monthly update of facts and the graph.
For a company
€1,500
Company, brand or project
History and milestones, leadership, products and services, markets, media coverage, answers to common questions, datasets.
Every fact with a source, a machine-readable layer (JSON-LD, datasets, llms.txt), delivery in 4 weeks.
Order a hub →Optional: a monthly update of facts and the graph.
What the price includes
- Bilingual hub, Ukrainian and EnglishA full English mirror with hreflang, on its own domain or a subpath.
- Pages with sourcesBiography, timeline, achievements, media, practice. Every statement with a source rated A–E.
- Full JSON-LD markupPerson, Organization, Article, Dataset and FAQ on every page.
- About 16 datasetsFacts, sources, timeline, quotes, media, services.
- Answer pack for AI and RAGData that ChatGPT, Gemini, Claude and Perplexity can read and cite.
- Interactive knowledge graphA map of entities and the links between them.
- Media kit for journalists50, 100 and 250-word biographies, verified dates, facts with sources.
- Sitemap and IndexNowWe submit the sitemap to Google and send IndexNow to Bing and Yandex.
!We do not guarantee search rankings or AI citations. We build a source of facts and submit it for indexing. How search engines and AI chats use it is up to them.
AI visibility packages from €800 →AI visibility →All prices →
08 Questions
Questions about LLM Knowledge Hub and AI reputation
How is an LLM hub different from a regular website?
A regular website describes services. An LLM hub holds facts about a person or company with links to sources, plus a machine layer: JSON-LD markup, datasets, llms.txt and Markdown copies of the pages. Search engines and AI chats read this data directly.
Does a hub replace a Wikipedia article?
No. Wikipedia is an independent encyclopedia with notability rules; its articles are written and checked by editors. A hub is your own source. It is useful next to an article and when there is none. Wikipedia page creation →
Do you guarantee that ChatGPT or Google will cite the hub?
No. We build a source of facts and submit it for indexing. The Valikhnovski hub, for example, is on the first page of Google for his name.
How quickly does a hub reach search?
After launch we submit the sitemap to Google and send IndexNow to Bing and Yandex. New pages are usually crawled within a few days.
Will the hub be on our domain?
On its own domain (like valikhnovski.com or thenewenglish.uk) or on a subpath of your website.
Where do the facts come from, and who checks them?
From public sources and your documents. Every source has a rating from A to E, every fact links to a source. Unverified facts do not go into the hub.
Who is an LLM hub for?
A person, company, brand or project people look up: a doctor, an entrepreneur, a scientist, a music band with an archive. It needs facts and sources that confirm them.
What happens after launch?
The hub works without us. If you wish, we add a monthly update: new facts, events and publications go onto the pages, into the datasets and the graph. Update terms are agreed separately.
Order an LLM Knowledge Hub: a page plan and a timeline
Tell us who the hub is about and what is already online about you. We will reply with a page plan and a timeline.
- 1Who the hub is aboutA person, company, brand or project.
- 2What already existsWebsite, Wikipedia article, profiles, publications, a document archive.
- 3Which facts matterWhat is now described inaccurately or not at all.
- 4DomainIts own domain or a subpath of your website.
or write to: team@wikibusines.com · Telegram