Write Your Internal Knowledge Base for a Tech Startup
A prompt to generate a detailed internal knowledge base for a tech startup, including persona, product, competition, FAQ, and sales process.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B content strategy expert for tech startups. Write a complete internal knowledge base for [COMPANY_NAME], a tech startup specializing in [TECH_DOMAIN] (e.g., SaaS, AI, cybersecurity). The document must be structured for use by executive teams, marketing, sales, and partner agencies. Here are the mandatory sections:
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Company overview: mission, vision, values, and key [COMPETITIVE_ADVANTAGE].
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B2B client persona: describe the typical client persona, named [PERSONA_NAME], with their pains, goals, and decision criteria. Include budget information, buying process, and common objections.
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Product/Solution: describe [PRODUCT_NAME] in detail: features, use cases, integrations, and proprietary [PROPRIETARY_TECHNOLOGY] used. Explain how it solves the persona's problems.
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Market and competition: analysis of the [TARGET_MARKET], positioning, and comparison with competitors [COMPETITOR_A] and [COMPETITOR_B]. Strengths and weaknesses.
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Content strategy and channels: recommendations for formats (white papers, case studies, webinars) and channels (LinkedIn, email, blog) suited to the long B2B sales cycle. Mention KPIs such as [AVERAGE_TICKET] or [SALES_CYCLE].
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Client FAQ: list of the 10 most frequent questions with detailed answers, based on [SECTOR_ISSUE].
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Technical glossary: definitions of key terms such as [TECH_TERM_1] and [TECH_TERM_2].
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Sales process and support: description of the pipeline, CRM tools used, and support SLAs. Include call scripts for sales.
Write each section in professional but accessible language, with quantitative data where possible. Use an authoritative and factual tone. The final document should be approximately 5000 words.
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Why this prompt works
<p>This prompt is designed for B2B tech startups looking to centralize their knowledge management. It creates a reference document usable by all teams: executives for vision, marketing for content, sales for prospecting, and agencies for strategic alignment.</p><p>To use it, replace the variables in square brackets with your startup's specific information: <strong>[COMPANY_NAME]</strong>, <strong>[TECH_DOMAIN]</strong>, <strong>[COMPETITIVE_ADVANTAGE]</strong>, etc. The prompt asks for concrete details (named persona, named competitors, KPIs) to avoid a generic result. Adjust the number of sections if needed, but keep all indicated variables for maximum completeness.</p><p>The expected result is a structured document in 8 sections, about 5000 words. It can be used as is or as a basis for an internal wiki (Notion, Confluence). Sales will find call scripts, marketers insights for campaigns, and executives a clear vision of positioning. Ideal for onboarding new employees or partners.</p>
Use Cases
Expected Output
A structured text document in 8 sections, approximately 5000 words, with replaced variables, quantitative data, and a professional tone.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
5000 mots en un appel = sections creuses et chiffres inventés. Génère plutôt section par section, en injectant tes sources réelles (transcripts d'appels sales, offres, veille concurrentielle). Ajoute la consigne : « n'invente aucun chiffre, écris [À COMPLÉTER] si la donnée manque ». Les scripts d'appel et la FAQ seront bien plus justes dérivés des objections réellement enregistrées en CRM.
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