Master the process of identifying 'Prompt Gaps' where competitors appear in AI engine responses but your brand is missing, and learn how to bridge those visibility deficits.
12 min read
Foundations
Visual diagram
A Venn diagram showing 'Your Content', 'AI Source Citations', and 'Competitor Presence', with the 'Prompt Gap' highlighted as the intersection where competitors and sources overlap but the brand is missing.
Section 1 of 9
Introduction to Prompt Gap Analysis
Prompt Gap Analysis is the systematic process of identifying queries, personas, and intent-driven prompts where your brand or client is currently absent from AI-generated answers, despite competitors being cited. In traditional SEO, we focus on 'Keyword Gaps' based on search volume. In AI Visibility, we focus on 'Prompt Gaps' based on intent, attribution, and context.
As LLMs (Large Language Models) like ChatGPT, Claude, and Perplexity become primary discovery tools, being the 'missing citation' is a significant commercial risk. This lesson provides a framework for auditing these gaps and prioritising the content interventions needed to secure your place in the AI-generated consensus.
Introduction to Prompt Gap Analysis
Lesson Quiz
Pass at 70%.
1. What is the primary difference between a Keyword Gap and a Prompt Gap?
2. Which of these is an example of an 'Attribute Gap'?
3. Why is 'Source Mapping' important in a gap analysis?
4. If an AI lists your competitor because of a Reddit thread, what type of gap is this?
5. In the 'Worked Example', why did Brand Alpha fail to appear for 'decentralised teams'?
6. What does a 'Negative Gap' represent?
7. Which tool is best suited for identifying 'live' citations in a Gap Analysis?
8. What is the recommended first step in a Prompt Gap Analysis?
9. How does 'Semantic Neighbourhood' content help close gaps?
10. What prioritisation score should you give a 'High Relevance / Low Difficulty' gap?
