How do you establish your source of truth for AI?
AI systems can only be as accurate as the information they have access to. Your knowledge base is the canonical source of truth about your brand.
The Knowledge Base is VectorGap's system for establishing your single source of truth about your brand. When AI systems like ChatGPT, Claude, or Perplexity talk about your company, they pull from whatever information they encountered during training or retrieval—often outdated blog posts, competitor comparison pages, or Reddit threads with complaints. Your Knowledge Base changes this dynamic by providing a structured, verified collection of facts: pricing, features, use cases, company information, and competitive positioning. VectorGap uses this ground truth to detect hallucinations (flagging when AI contradicts your verified facts), generate accurate GEO-optimized content, analyze coverage gaps, and verify competitive positioning. Every FAQ, comparison page, and product description you generate is grounded in your Knowledge Base—not AI hallucinations.
Why is a Knowledge Base the foundation of accurate AI perception?
When an AI system talks about your brand, it pulls from whatever information it found during training or retrieval. That might be a three-year-old blog post, a competitor's comparison page, or a Reddit thread with outdated complaints.
Your knowledge base changes that dynamic. It's a structured, verified collection of facts about your brand—pricing, features, use cases, differentiators, technical specs. When VectorGap audits AI responses, we compare them against this ground truth.
More importantly: the content you generate from VectorGap is grounded in your knowledge base. Every FAQ, every comparison page, every piece of structured content reflects your verified facts—not hallucinations.
What types of information go in your Knowledge Base?
Product Facts
Pricing tiers, feature lists, technical specifications, supported integrations. The stuff AI gets wrong most often.
Company Information
Founding date, team size, headquarters, funding history. Prevents AI from confusing you with similar-named companies.
Use Cases
Who uses your product, for what, and what results they get. Helps AI recommend you for the right scenarios.
Competitive Position
How you differ from competitors. What you do better. What you don't do. AI comparison queries need this context.
Documentation
Upload existing docs, FAQs, support articles. We'll extract structured facts and keep them synchronized.
Controlled Facts
Mark certain facts as "do not disclose" or "internal only." We'll flag when AI reveals information you want private.
How do you build your Knowledge Base?
Import existing content
Connect your documentation, upload PDFs, paste from your website. Our parser extracts structured facts automatically. You review and approve what gets added.
Define key facts manually
Add specific facts that matter most—your exact pricing, your three main differentiators, the industries you serve. These form the core of your AI identity.
Categorize and prioritize
Organize facts by category. Mark which are most important for AI to know. Set sensitivity levels for confidential information.
Keep it current
Set review reminders for time-sensitive facts. When you update pricing or ship new features, the knowledge base prompts you to update the corresponding facts.
How does the Knowledge Base power VectorGap features?
Hallucination detection
When we audit AI responses, we compare every factual claim against your knowledge base. If an AI says you cost $500/month and your KB says $49, we flag it immediately.
Content generation
GEO-optimized content—FAQs, comparison pages, product descriptions— is generated directly from your knowledge base. No risk of publishing something that contradicts your verified facts.
Coverage analysis
We track which facts from your knowledge base appear in AI responses and which don't. High-priority facts that never get mentioned are opportunities for better content.
Competitive positioning
Your knowledge base includes how you compare to competitors. When AI runs comparison queries, we can see if the responses reflect your actual competitive advantages.
Frequently Asked Questions about the Knowledge Base
A Knowledge Base is a structured, verified collection of facts about your brand—pricing, features, use cases, company information, competitive positioning. It's important because AI systems can only be as accurate as the information they access. Without a canonical source of truth, AI pulls from whatever it finds: outdated blog posts, competitor comparison pages, or Reddit threads with complaints. Your Knowledge Base provides the ground truth for VectorGap to detect hallucinations and generate accurate content.
Your Knowledge Base should include: Product Facts (pricing tiers, feature lists, technical specs, integrations), Company Information (founding date, team size, headquarters, funding), Use Cases (who uses your product and what results they get), Competitive Position (differentiators, what you do better, what you don't do), Documentation (existing FAQs, support articles, guides), and Controlled Facts (information marked as confidential or internal-only that you want to monitor for leaks).
VectorGap uses your Knowledge Base for four purposes: 1) Hallucination Detection—comparing every AI claim against your verified facts to flag errors. 2) Content Generation—creating GEO-optimized FAQs, comparisons, and product descriptions grounded in accurate information. 3) Coverage Analysis—tracking which facts appear in AI responses and identifying gaps. 4) Competitive Positioning—verifying that AI comparison queries reflect your actual advantages.
Building your Knowledge Base involves four steps: 1) Import existing content—connect documentation, upload PDFs, paste website content; VectorGap extracts structured facts automatically. 2) Define key facts manually—add specific pricing, differentiators, and industries served. 3) Categorize and prioritize—organize by category, mark importance levels, set sensitivity for confidential information. 4) Keep it current—set review reminders for time-sensitive facts; when you update pricing or ship features, the system prompts updates.
Consistency Dimension: Your KB vs. the web
Our 5-dimension diagnostic checks if your knowledge base matches what exists on Wikidata, Crunchbase, LinkedIn, and other sources. Inconsistencies confuse AI—our Consistency score tells you exactly where data disagrees.
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Start with your most important facts. Expand as you learn what AI gets wrong.
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