GEO · Generative Engine Optimisation

What GEO is

The work of measuring and improving how often — and how favourably — a brand is cited or recommended inside AI-generated answers.

Not a ranking in ten blue links. Citation, mention and recommendation inside ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews.

How a generative answer is made

GEO optimises for survival and preference at each stage — not just for being crawlable.

01

Retrieval

Is the brand even in the candidate set the model can draw from?

02

Extraction

Can the model parse a clean, attributable passage from what you own?

03

Synthesis

Does the engine prefer you when it composes the answer?

04

Citation

Are you named, linked and framed as the source — not a footnote?

GEO is not SEO

Search trained a generation of marketers to win the click. Generative engines collapse the results page into an answer. The competitive ground is whether you are inside that answer.

SEOGEO
The prizeA click from a results pageBeing named, cited or recommended inside the answer
What models trustPages, keywords and backlinksEntities, corroborating sources and extractable claims
ContentVolume and ranking coverageAnswer-first depth that a model can quote with attribution
MeasurementRankings, traffic, conversionsMention, citation, sentiment and share of voice on a fixed prompt set
CadenceAlgorithm updates and crawl cyclesRe-running the same prompts as engines change what they cite

What it measures

Mention

Does the engine name the brand at all for the prompt?

Citation

Is the brand attributed with a link or a clear source?

Framing

Is the mention favourable, comparative, or a caveat?

Share of voice

How often is the brand selected versus named competitors?

What it is not

  • Traditional SEO with a new label
  • Buying mentions or stuffing prompts into thin pages
  • A one-off content burst with no baseline
  • Optimising only for Google’s ten blue links

Why it exists now

Buyers ask engines for shortlists. AI Overviews occupy the top of search. Click-through falls even when you still “rank”. If the model names three competitors and not you, the rest of the funnel never starts.

GeoLab treats that as its own discipline: measurement first, then structure, content engineering and corroboration — the GeoLab Method.