AI Search

Generative Engine Optimisation

Earning the third-party citations that generative engines actually draw on when they answer.

Outcome: Enough independent evidence across the web that citing you becomes the obvious choice.

What we usually find

Models cite brands through other people's pages far more often than through their own. A well-built site is not enough when nothing independent corroborates what it claims.

What the work covers

Scope is agreed in writing before anything starts. If a line here is not relevant to you, it comes out of the plan and out of the price.

  • Citation gap analysis against the competitors already being named in answers
  • Original data and research built to be quoted rather than summarised
  • Named expert attribution and sourced statistics on the claims that carry weight
  • Presence built where models retrieve: review sites, communities, video and industry press
  • The structural work the Princeton GEO study measured as effective, and none of the keyword stuffing it measured as harmful
  • Results read against a holdout set of untouched queries

Typical tooling

Indicative, not fixed. The stack follows your constraints and your team, not our habits.

  • Ahrefs
  • Semrush
  • Otterly AI
  • G2
  • YouTube

More in AI Search

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