AI & Answer Engines

Generative Engine Optimisation

Shape how generative models describe your brand and category.

Generative engines assemble answers from many sources at once, so what they say about you depends on the balance of what exists across the web, not on one page you control. GEO is the work of improving that overall picture rather than optimising a single URL.

You probably need this if

  • AI tools state incorrect facts about your pricing, services or location
  • Your brand is absent from generated category comparisons
  • Outdated information about you persists in AI answers
  • Third-party sources describing you are thin, wrong or years old

What you get

  • Corpus audit of what the web currently says about your brand
  • Factual consistency programme across owned, earned and third-party sources
  • Third-party presence strategy covering the listings and reviews models draw on
  • Structured, quotable content assets designed for retrieval
  • Recurring prompt testing to track how representation changes

How we approach it

  1. Audit the corpus

    Establish what sources exist about your brand and where they disagree, because contradictions are what produce inconsistent AI answers.

  2. Fix the facts

    Correct outdated and inaccurate information at source across directories, profiles and third-party pages, prioritising the sources that get cited most.

  3. Build quotable assets

    Publish original data, clear definitions and specific claims, since generative systems favour content that is concrete and attributable.

  4. Test and iterate

    Re-run prompts on a schedule and track how representation shifts, treating it as a measurable programme rather than a one-off fix.

Generative Engine Optimisation (GEO): common questions

Is GEO different from AEO?

They overlap heavily and the terms are often used interchangeably. In practice AEO focuses on being cited in a specific answer, while GEO focuses on the broader question of how models represent your brand across many possible answers. The work substantially overlaps.

Can I control what AI says about my business?

Not directly, and anyone claiming otherwise is overselling. You can strongly influence it by making accurate information abundant, consistent and well-structured across the sources these systems draw on, and by correcting errors where they originate.

How long does it take to change AI representation?

Systems with live retrieval, such as Perplexity and search-connected assistants, can reflect changes within days or weeks. Facts baked into model training weights only shift at the next training cycle, which may be many months away.

Find out what is actually holding you back

A short conversation and a look at your site is usually enough to tell you where the real problem is. No obligation, and no pressure to sign anything.