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GEO

When the answer is generated, be in it.

A growing share of buyers now get their answer from ChatGPT, Gemini, Perplexity or an AI overview instead of a list of ten blue links. Generative Engine Optimisation is the work of making sure that when those systems answer a question in your category, your business is what they cite.

What we work with

  • Schema.org / JSON-LD
  • Entity optimisation
  • Answer-engine monitoring
  • Content architecture

Scope

What this includes

01

Answer-engine visibility

Tracking how ChatGPT, Perplexity, Gemini and AI Overviews currently answer the questions that matter in your category, and whether you appear at all.

02

Content structured for retrieval

Clear claims, direct answers, and the entity and schema markup that makes a page easy for a model to quote accurately.

03

Citation building

Presence in the sources these systems actually draw on — documentation, directories, comparison pages and credible third-party mentions.

04

Monitoring

Regular checks on how your brand is described by answer engines, including correcting what they get wrong.

Process

How we run it

  1. 01

    Baseline

    We ask the answer engines your buyers' real questions and record what they say today.

  2. 02

    Gap analysis

    Where competitors are cited and you are not — and, more usefully, why.

  3. 03

    Restructure

    Content and markup reworked so your pages are quotable, not just readable.

  4. 04

    Re-test

    The same questions, re-asked on a schedule, so movement is measured rather than assumed.

Tell us the workflow. We will tell you what it needs.

A short call about one real process, and a clear answer on what it would take.