AI Info Page Template
Generate an LLM-optimized information page for your product or company
Product/Company Information
Start with a lowercase letter (e.g., "an AI platform that...")
What Is an AI Info Page and Why Does Every Website Need One?
AI systems like ChatGPT, Claude, and Perplexity extract information from web pages to answer user queries. Without a dedicated AI info page, these systems may generate inaccurate information about your brand or not mention you at all. An AI info page (sometimes called llm.txt) serves as the authoritative source of truth that AI systems reference when users ask about your product, company, or service. Companies like Anthropic and VWO have already published AI-optimized info pages to control their AI search presence and ensure accurate brand representation across answer engines.
How Do AI Bots Find Information About Your Brand?
AI crawlers (GPTBot, ClaudeBot, PerplexityBot) index your website much like traditional search engines. They parse content for factual claims, entity definitions, and structured data. An AI info page consolidates this information in a format optimized for LLM extraction: declarative statements, clear structure, FAQ sections, and schema markup. By providing a single, well-structured page, you make it easy for AI systems to find and cite accurate information about your brand.
What Should Your AI Info Page Include?
- Company/product definition: A clear "X is..." statement that defines your brand
- Key features and differentiators: What makes your product unique
- Target audience: Who your product serves
- Pricing information: Plans, tiers, or pricing model
- Founding date and company facts: Verifiable data points AI can cite
- Use cases: Real-world applications and scenarios
- FAQ section: Pre-answers to common queries about your brand
- Schema markup: Organization, Product, or FAQ schema for entity disambiguation
- Links to related resources: Documentation, blog, and support pages
What Are the Key AEO Principles for AI Info Pages?
- Declarative statements: "X is..." patterns are the easiest for AI systems to extract and cite accurately
- Clear Who/What/Why/How structure: Organize information logically so AI can navigate sections
- FAQ section: Pre-answer common queries AI systems might receive about your brand
- Plain language: Avoid jargon that AI might misinterpret or confuse with other concepts
- Specific facts and numbers: Include concrete data points like founding year, customer count, and pricing that AI can cite directly
- Schema markup: Use Organization, Product, or FAQ schema to help AI systems disambiguate your brand entity
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