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Discovery Strategy

SEO for the AI-answer era.

Search is no longer one surface. Classic SERPs, AI Overviews, and the conversational LLM answer layer all respond to the questions your audience asks — and the brands that show up across every surface compound faster than those stuck optimising for a single one.

80+
Awards
14
Markets
16+
Years

Visibility, compounded.

Traditional SEO still matters — technical foundations, content architecture, and organic growth that compounds across years. But the discovery surface is now plural, and the same question routes through five different systems before a user picks an answer.

Our SEO practice operates across three connected layers: technical SEO (crawlability, schema, core web vitals), content (intent-mapped architecture and topical authority), and Generative Engine Optimisation — the work of getting cited in AI Overviews and LLM responses. Our SEO Lead serves on the jury of the 2026 Search & Discovery Awards specifically for this category.

Discovery across every surface

SEO methodology.

01

Audit

Technical audit, content gap analysis, backlink profile, and AI-surface visibility. We check where you rank and where you get cited.

02

Architect

Content architecture and topical cluster design around how real audiences search — and how LLMs summarise. Schema and entity strategy baked in.

03

Execute

Technical fixes, content production, link acquisition, and GEO-specific work: structured data, citation-worthy formats, and AI-answer-friendly content.

04

Monitor

Rank tracking across Google SERPs plus AI-answer monitoring. We watch how brand mentions evolve in LLM responses, not just classic positions.

Brands that compound.

E-commerce and B2B clients building organic growth that survives every algorithm shift — Google core updates, AI Overviews rollouts, and the search redesigns yet to come.

Platform partnerships
Google
Meta
Greca
Microsoft

Ready to be the answer?

Let's talk about an SEO strategy that works across Google, AI Overviews, and the LLM answer layer.

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