Brand & Digital Experience

AEO, SEO & Content

Discovery in the answer-engine era.

Content engineered for both LLMs and humans — structured, citable, and built around the way people now ask, search, and trust.

How we engage

The case

Discovery has moved
from search to answers.

Search hasn't disappeared — but it's no longer the only door. People now ask AI assistants directly, and the assistants answer with citations. Brands that don't show up in those answers don't exist for the user, regardless of how well their old SEO programme runs.

We engineer content for both worlds. Technical SEO that still moves rankings. Knowledge architectures and structured content that surface in AI answers. And the editorial system that keeps producing both at organizational scale.

What we build

From technical SEO
to LLM presence.

01

AEO architecture

Knowledge architectures and content patterns engineered to surface in AI answers — with citation, structure, and source authority.

02

Technical SEO

Core Web Vitals, structured data, and crawlability engineered into the platform — not retrofitted later.

03

Content systems

Editorial workflows, content models, and AI-augmented production at organizational scale.

04

Brand presence in LLMs

Measurement of brand presence inside AI answers — and the content moves to grow it.

05

Topical authority

Pillar / cluster content architecture and the linking, freshness, and depth that build durable topical authority.

06

Editorial governance

Style, fact-check, and approval workflows that keep AI-augmented content credible at volume.

How we engage

Three phases
from audit to compounding traffic.

01

Audit

Weeks 1–4

Search and AI-presence audit, content inventory, technical estate read, and the gap analysis to prioritise.

02

Architect

Weeks 4–8

Knowledge architecture, content models, editorial workflow design, and the technical SEO platform decisions.

03

Operate

Ongoing

Content production, technical SEO discipline, AI-presence measurement, and continuous optimization on a real backlog.

Outcomes we engineer for

What durable
discovery pays back.

32%

Of new pipeline

Share of new B2B pipeline driven by an AEO-led content engine in the first year of operation.

+3×

AI-answer presence

Typical 12-month lift in brand citation rate inside major AI assistants when content is engineered for it.

Days

Time-to-publish

Median time from brief to live content with a properly engineered editorial workflow.

+45%

Organic traffic

Typical 12-month organic traffic lift on a well-architected content programme — independent of AI presence.

Where this applies

Anywhere people ask
for trusted answers.

  • B2B SaaS
  • Banking & Wealth Management
  • Insurance
  • Healthcare Providers
  • Pharma & Life Sciences
  • Higher Education
  • Public Sector
  • Legal & Professional Services
  • Manufacturing
  • Energy & Utilities
  • Retail & D2C
  • Hospitality & Travel
  • Real Estate
  • Telecom & Media

Common questions

What teams ask
before launching.

Is SEO dead?

No — but it's no longer sufficient. Search and answer engines are now distinct discovery surfaces. Most clients still see strong SEO ROI; AEO is additive, not substitutive.

How do you measure AI-answer presence?

Through a combination of citation tracking, structured monitoring of major assistants, and brand-mention sampling — calibrated against your category.

Can AI write the content?

AI accelerates production; it doesn't replace editorial judgment. We engineer workflows that use AI for scaffolding and humans for judgement — with the governance to keep the work credible.

Start the conversation

From a content calendar
to a discovery engine.

Tell us how your audience is asking now. We'll meet them — across search, social, and AI assistants.