Prompt Optimization
The practice of structuring content so that it aligns with the types of prompts users submit to AI models, increasing the likelihood of citation.
This term is part of the 3LA EntityMap → /entitymap.html
Related terms
Query Fan-out
coreA technique used by AI search systems to generate multiple concurrent, related sub-queries from a single user query in order to retrieve more comprehensive results. Example: 'how to fix a weedy lawn' fans out to 'best herbicides', 'remove weeds without chemicals', 'prevent weeds'. Content organised as Atomic Content Units with clear topic coverage is more likely to be retrieved across fan-out queries.
Answer Engine Optimization (AEO)
GEOA subset of GEO focused on structuring content to directly answer specific questions, making it extractable by AI answer engines.
Generative Engine Optimization
coreThe practice of optimizing content to be retrieved and cited by AI-powered answer engines. 3LA's Layer 3 score measures GEO performance as citation rate and sentiment across ChatGPT, Claude, Gemini, Perplexity, and Mistral. Distinct from classical SEO which optimizes only for search engine crawlers.
Citation Readiness
L3The degree to which content is structured, authoritative, and clear enough to be cited by an AI model as a source in a generated answer.
