AI Visibility and LLM Brand Discovery

Learn how people discover brands through AI assistants and how to be found, cited and described accurately: crawlers, structured data, content, measurement and ethics.

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Syllabus

Foundations of AI Visibility

  1. From Search Results to Answers
  2. How an Assistant Knows About Your Brand
  3. What "Visible" Means
  4. GEO and SEO: Same Roots, New Questions

What Influences Brand Mentions

  1. Entity Clarity and Consistent Facts
  2. Authority and Third-Party Mentions
  3. Content That Answers Directly

Technical Foundations

  1. AI Crawlers and robots.txt
  2. Readable HTML Without JavaScript
  3. Structured Data with JSON-LD
  4. Sitemaps and llms.txt

Measuring AI Visibility

  1. Building a Prompt Set
  2. Mention Rate and Share of Voice
  3. Citations and Source Analysis
  4. Traffic and Server Logs

Content and Brand Playbooks

  1. Content Types That Earn Citations
  2. Digital PR, Reviews and Community Presence
  3. Multilingual and India-Specific Visibility

Accuracy, Risks and Ethics

  1. When Assistants Get Your Brand Wrong
  2. Competitor Comparisons and Sentiment
  3. Ethical Lines: What Not to Do

Running an AI Visibility Programme

  1. Workflow, Owners and Cadence
  2. KPIs and Realistic Expectations

Putting It Together

  1. Case Study: A 90-Day Plan for a SaaS Startup
  2. Revision: Cheat Sheet and Self-Check