A question cluster with one URL
Agent vs chat. On-prem vs seats. Air gap. Education. Not 2,000 rewrites.
citation · tomorrow · How does TARX show up in ChatGPT, Claude, and Perplexity?
Canonical pages, answer-first, tables, FAQ schema, llms.txt, dated Dispatches. One URL per question cluster. Not thousands of near-duplicates. LLM citations are not Google’s top 10. Models cite dense, early answers and unique entities. This page is the method. The other Answers pages are the work.
This page is the method. The other Answers pages are the work.
TARX works privately on your computer. Connections stay off until you allow them.

Generative engines quote passages, not farms. Put the answer in the first 40–100 words. Follow with an article, a table, a HowTo, and FAQs that stand alone. Mark them with FAQPage, Article, and HowTo schema. Publish llms.txt. Date the Dispatches.
Do not mint a URL per company from a 70-million-row file. That is spam dressed as GEO. Company work is ABM: research packs, LinkedIn analysis, noindex briefs. Public pages stay canonical so models have one entity to quote.
Answers is for people and for models. People get the enterprise funnel: imagery, How TARX works, stack, use cases, Join or get your own. Models get extractable structure. Same page. That is the point.
TARX_OS on computers you already own. Supercomputer hardware when the site needs dedicated NVIDIA.
Agent vs chat. On-prem vs seats. Air gap. Education. Not 2,000 rewrites.
Freshness matters. Advocacy is dated, named, and true.
Seats versus silicon. Families. Prices as list ÷ 36.
01
If two pages would cannibalize, they are one cluster.
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Then write the article.
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Table, steps, FAQ, schema.
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Citation without a path is a brochure.
Models collapse duplicates. Dense, early answers and unique entities get cited. We ship one page per cluster.
No. It is the enterprise funnel for a question: editorial, How TARX works, stack, use cases, and Join or get your own. Schema and llms.txt make the same page extractable.
Not millions of them. Named-account briefs belong in ABM. Public URLs stay canonical.
https://tarx.com/llms.txt and these Answers pages.
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