Generative search
GEO and AI search
GEO complements SEO by improving entity clarity, source quality and answer extractability.
Visibility principles for answer engines
Generative Engine Optimisation makes an organisation and its content easier for generative systems to understand, verify and use through clear, consistent and well-sourced information.
Optimisation priorities
- Entities and factual consistency
- Self-contained passages and sources
- Documented probabilistic measurement
Clarity in generative search
GEO and AI search: signals, sources and measurement
Signal to clarify
Clarify the entities, facts, sources and passages answer engines need to understand.
Structural work
An entity map with editorial, technical and source-distribution priorities.
Observation method
Dated observations track mentions, citations, sources and variation by engine, language and market.
GEO observation cycle
GEO and AI search: strengthen what systems can understand and verify
The work separates factual clarity, source quality and dated observation instead of promising a citation.
Step 01
Define the observation set
Frame “Entities and factual consistency” by engine, market, language and repeatable query family.
Step 02
Strengthen sources and passages
Use “Self-contained passages and sources” to improve entities, evidence and self-contained explanations.
Step 03
Compare over time
Evaluate “Documented probabilistic measurement” through dated observations, cited sources and factual consistency.
Success framework
SEOSEO combines technical quality, editorial relevance and measurement within a continuous improvement approach adapted to changes in search and generative systems.