Search Marketing for Generative AI

We analyse your target audience to identify high-impact topics and benchmark your current AI visibility. This allows us to define which prompts to track, sample, and optimise for—so we focus on the questions that actually influence recommendations and Share of Model (SoM).

Based on the audit, we design the technical and semantic structure AI systems rely on to interpret your brand correctly. Schema.org markup, entity relationships, and content structure—everything needed for accurate understanding and consistent representation. We work closely with your development team to ensure a clean, machine-readable foundation.

Our team implements the required changes—structured data, content optimisation, and knowledge graph integration. We collaborate with your teams or deliver end-to-end. Everything is documented, validated, and tested against real AI model outputs before going live.

After launch, we monitor how AI models respond to your optimised presence. Selection Rate, entity accuracy, and recommendation frequency are continuously measured and reported. This isn't a one-off project—your relevance engineering evolves as models, prompts, and AI behaviour change.