Service

GEO (Generative Engine Optimization)

Control how AI models describe your brand, not just whether they cite a page.

The short answer

GEO (Generative Engine Optimization) is the practice of shaping the corpus a generative model draws on, so that when it writes about your category it describes you accurately and includes you in the shortlist. Where AEO optimizes an on-site page for a citation, GEO optimizes the off-site evidence: third-party reviews, comparison content, listicles, community threads, directories, and consistent entity naming everywhere your brand appears.

Deliverables

What you actually get.

  • Brand representation audit: what each model says about you today, verbatim
  • Entity consistency pass across name, category, product names, and positioning
  • Third-party corpus gap analysis: review sites, directories, roundups, communities
  • Off-site placement program: comparison pages, listicle inclusion, review coverage
  • Competitor displacement mapping on shortlist prompts
  • Misstatement correction workflow for outdated or wrong model claims
  • Share of voice reporting: how often you appear in category generations, cited or not

Outcomes

What changes in the business.

  • Models describe your product and category position correctly
  • You appear in generated shortlists even when no page is cited
  • Outdated pricing, features, or positioning claims get corrected at the source

Process

How we run it.

01

Listen

Capture verbatim model output about your brand and category across engines.

02

Correct

Fix entity inconsistencies and chase down the sources feeding wrong claims.

03

Seed

Build presence on the third-party surfaces models actually weight.

04

Measure

Monthly share of voice and sentiment across a stable prompt set.

For your industry

GEO (Generative Engine Optimization), tuned to your vertical.