DIVISION 04 · AI VISIBILITY
GEO
Generative Engine Optimization - improving how generative models represent your brand across the answers they produce, at scale.
- Who it's for
- Brands worried about how they're described, not just whether they appear.
- How it's measured
- Presence, accuracy and sentiment of your brand across generated answers.
- Typical timeline
- Representation shifts over 1–3 months as models re-ingest sources.
THE APPROACH
What it is
GEO is concerned with representation: when a model talks about your category, your brand and your competitors, what does it say, and where does it get that from? GEO is the work of shaping those generated portrayals.
Why it matters
Models form a compressed opinion of your brand from the sources they've ingested. If those sources are thin, outdated or hostile, the model's default description of you will be too - and it will repeat that to every buyer who asks.
How we approach it
We audit how each engine currently describes you and your competitors, trace the descriptions back to their likely sources, and then strengthen, correct or add sources so the generated portrayal moves toward accurate and favorable.
What we change
Owned pages, third-party profiles, structured facts, and the corpus of citable material about your brand. We prioritize the sources models actually lean on for your category.
How we measure it
A recurring sweep of generated descriptions across engines, scored for presence, factual accuracy and sentiment, with drift tracked over time.
What you get
A clear picture of how AI currently portrays you, a plan to move that portrayal, and ongoing monitoring so regressions are caught early.
QUESTIONS
GEO, in plain answers
How is GEO different from AEO?
AEO is about being the quoted answer to a question. GEO is about how models describe your brand across many answers - presence, accuracy and sentiment at scale.
Can you fix an inaccurate description a model gives?
Often, yes - by strengthening and correcting the sources the model draws from. It takes a re-ingestion cycle, so the change is gradual rather than instant.
THE OTHER DISCIPLINES
GEO rarely runs alone. The rest of AI Visibility:
AI SEO
AI Search Engine Optimization
Optimizing a brand's content and structure so it is surfaced, understood and cited by AI search engines - not just ranked by classic ones.
AEO
Answer Engine Optimization
Answer Engine Optimization - structuring content so answer engines can extract, trust and quote it directly in a generated response.
LLMO
Large Language Model Optimization
Large Language Model Optimization - the technical and content work that makes a brand's knowledge easy for LLMs to ingest, ground and retrieve.
SEO
Search Engine Optimization
Classic search engine optimization - still the foundation, because the pages that rank are often the sources AI engines cite.
SMAO
Social Media Answer Optimization
Social Media Answer Optimization - shaping the social and community signals that models increasingly draw on when they answer.
AIO
AI Optimization
AI Optimization - the umbrella discipline covering every surface where an AI system forms an impression of a brand, from the owned site to the third-party corpus models are trained and grounded on.