Generative Engine Optimisation (GEO)

When buyers ask an LLM “who should I choose?”, the model answers from what it trusts — not from who shouts loudest.

MOCK / SAMPLE CAMPAIGN GEO · LLM VISIBILITY · ENTITY

Overview

Client type: a brand that is good but invisible to AI recommendations. Goal: be the brand language models mention when buyers ask category questions. Timeframe: 90 days. Sample work — targets below are illustrative, not achieved results.

The challenge

Strategy

  1. Entity clarity: one consistent set of business facts (name, services, locations, proof points) across the website, listings and profiles.
  2. Citation-ready pages: statistics, comparisons and original explanations written to be quoted, with sources stated.
  3. Third-party footprint: reviews, directory listings and mentions that models treat as corroboration.
  4. Category coverage: pages that answer the category’s recurring questions, so the brand appears in more than one query type.
  5. Measurement: regular brand-mention checks across major AI answers, plus branded-search movement.

What success is measured on

Illustrative target (not an achieved result): brand mentioned in AI answers for 8 category queries within 90 days.

Key takeaway

GEO is a trust game. Models recommend brands whose facts agree everywhere, whose claims are specific, and whose reputation exists outside their own website.