Articles & Case Studies
Meet Disco Gen: AI Research Agent for GTM
DiscoGen researches companies using AI prompts grounded in their profiles and homepage text. Each company gets a separate context window.
· updated September 22, 2026
DiscoGen turns a research question into a new column for each company in your search results. It supplies the model with the full company profile and homepage text, so you can ask about products, customers, or ICP fit without assembling that context yourself.
No extra cost for profile data or home-page text. Both are included free on every plan.
⚠️ Our competition sends only manually defined fields, usually just a company name or a URL.
Disco Gen structures every prompt with an engineered context package including name, domain, contact information, address, top keywords and business categories, summary, and the entire home-page text.
✅ Why this matters: LLMs identify companies by correlating multiple signals rather than relying on a single string match. Feeding several data points greatly improves recall as the model leans on the added data points that a bare name would miss. This also reduces false negatives and minimizes drift.
1️⃣ We run one prompt per company record to guarantee each query has an isolated, unpolluted context window for the model to focus on. We also match content size with model memory to prevent overwrites and data loss.
📴 Disco Gen lets you turn off open-web search so the AI works only with the data we provide, removing the need for elaborate exclusion prompting. This scope control prevents outside data from distorting company-reported facts.
👉 We support all major models, just bring your key. Try us out and be prepared to be blown away by the consistency and accuracy of the answers.
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