A structured, six-session curriculum that takes your brand from invisible to recommended in AI search — with a concrete deliverable at every stage.
Request a consultation →Of current job skills disrupted by AI within five years
Global engagement — a $10 trillion productivity gap
WEF (2025) · Gallup (2026) — buyers increasingly ask an AI assistant before they ask a search engine.
A growing share of buyer research now happens inside an AI assistant, not a search results page. Getting recommended isn't one fix — it's four separate capabilities, each with its own failure mode: AI has to be able to find you, understand you correctly, recognise you as a real authority, and trust you enough to vouch for you. Then a fifth question follows fast: when an AI agent is choosing on a buyer's behalf, does it choose you?
This curriculum breaks that into six sessions. Each one ends with a concrete deliverable your team can act on immediately — not just a concept to remember.
Run end to end as a structured programme, or send teams into the session most relevant to the gap you already know you have.
An introduction to the four layers of AI brand visibility — clarity, discoverability, authority, and trust — and why each one fails independently of the others. Participants map their own brand's likely position across all four before going deeper.
Deliverable: A brand visibility scorecard across all four layers, with the priority AI platforms, prompts, and internal stakeholders identified for the work ahead.
What AI says about your brand is assembled from dozens of sources you don't directly control. This session covers how that description gets built, and the concrete moves that close the gap between how you describe yourself and how AI currently describes you.
Deliverable: A brand-description gap audit — a side-by-side of your intended positioning against what AI assistants currently say about you, with the top three corrections prioritised.
AI can only cite what it can actually retrieve — and a large share of brand content is invisible to AI systems for purely technical reasons. This session covers how AI retrieval works and the fixes that make your priority content reliably readable.
Deliverable: A technical accessibility audit of your highest-priority pages, flagging exactly which ones are invisible to AI retrieval and why.
AI only recommends brands it recognises as credible in their category. This session covers how AI infers authority from patterns of third-party mentions, and where to focus so your brand becomes one of the sources AI treats as real.
Deliverable: A third-party mention map — where your brand currently appears (and doesn't) across the sources AI weighs most heavily in your category.
Being cited is not the same as being endorsed. This session covers the specific signals that push AI from hedging on your brand to actively recommending it — and what's missing when a competitor gets the confident recommendation instead of you.
Deliverable: A trust-signal scorecard identifying the specific gaps between "mentioned" and "recommended" for your brand today.
AI agents are already making purchasing decisions for buyers, not just answering their questions. The same four layers still apply, but agents evaluate and act differently than a person reading an answer. This session covers what changes and how to prepare.
Deliverable: An agent-readiness checklist — the structured data, policies, and content changes that let an AI agent complete a transaction in your brand's favour.
No. Many teams start with Session 1 to get the full picture, then run only the sessions that match their biggest known gap. The framework and deliverables still make sense standalone.
A validated EI baseline, a post-programme assessment, and longitudinal tracking mapped to engagement, attrition, and productivity. Figures are drawn from the Grace ROI White Paper (2025) and are consistent with third-party research from TalentSmart, Korn Ferry, and the 2025 ICF Global Coaching Study.
Yes — GDPR and Swiss Data Protection Act compliant, delivered through a confidential, secure environment.
English, French, German, and four more — seven in total, across a network of roughly 40 certified coaches.
Related, but not the same. Traditional SEO optimises for ranking in a list of links; this curriculum optimises for being the trusted source an AI assistant quotes, recommends, or acts on directly — a different, newer set of signals most SEO programmes don't yet cover.
It helps. The curriculum works well with marketing, communications and leadership together, since the deliverables usually touch both content and brand-reputation work.
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