termsheep

Shape how AI explains your business category.

Turn deep research into AI-optimized resources that pull LLMs semantic knowledge graph toward your business framing, all the way from category learning to conversion.

Get them to listen

  • ChatGPT
  • Claude
  • Gemini
  • Grok
  • DeepSeek
  • Llama
  • Mistral
  • Perplexity

A new model is born every 4 weeks.

It’s trained on the latest corpus, including the newest resources your competitors just published.

2023202420252026Version

Major releases as logos; minor named drops as smaller dots. Not exhaustive. Cadence from industry release research (~monthly fresher pretrain mix somewhere in the set).

When a model explains your category without your framing, you already lost.

Brand citations are late. By the time a model names vendors, the conceptual map is already set: what the term means, what it’s used for, and which narratives feel default. Lose those edges and the shortlist forms without you.

Same buyer · problem exploration → purchase

Category agent

Dual path · problem → purchase

Idle

Ask about the category…

Termsheep is the loop for owning the category graph: publish, measure what sticks, improve.

We research and publish category resources on your domain, instrument what LLM crawlers fetch, and help you strengthen the associations that matter, with a human in the loop. Not a static library. A system for how AI explains your business category.

Your brandPublishMeasureImprove

Operators who care how AI explains their category.

  • “We stopped chasing mentions and started measuring whether AI connected our category terms the way we do.”

    Maya R.

    Head of PMM, B2B SaaS

  • “The glossary wasn’t the point. Seeing which pages models actually fetched (and what to publish next) was.”

    Jordan K.

    Content lead, growth-stage product

  • “Finally a system that treats LLM answers as a category problem, not another blog calendar.”

    Sam T.

    Founder, GTM