Govern how AI represents your organization.
AI Visibility Advisory is the board-level discipline of assessing and governing how AI systems discover, describe, and recommend your organization, before a buyer ever reaches you.
What AI visibility advisory is
A growing share of buying, hiring, and partnering decisions begins inside an AI answer. Buyers ask ChatGPT, Claude, or Perplexity who to consider, and the system answers by synthesizing what it knows, long before anyone visits a website. AI visibility advisory governs that moment.
It is not optimization software and not an implementation service. It is the strategic layer that establishes how AI systems currently represent your organization, what that exposure means for the business, and which corrections and signals to prioritize. The phenomenon itself is explained on the AI Visibility page, and the language of this discipline is defined on our Concepts page.
Governance, not a tool
Tools measure
Monitoring dashboards and GEO software track mentions and surface metrics. Useful, but they describe the problem. They do not decide what your organization should do about it, and they cannot carry board-level accountability.
ABL governs
We translate what AI says about you into decisions for leadership: what to change, in what order, who owns it, and how to keep it governed over time. Strategy first, independent of any tool, so the decision quality is never compromised by what a vendor happens to sell.
The Two-Step Risk Model
ABL frames the exposure as two sequential risks. They are different in kind, and the order matters.
01 · Visibility threshold
Either AI systems include your organization in the answer at all, or they do not. This is binary. Below the threshold, you are structurally excluded from AI-mediated shortlists, regardless of how good your offer is.
02 · Representation risk
Once visible, the question is whether you are described accurately. Misrepresentation compounds as AI systems reference prior AI output, so a wrong picture today hardens into the baseline for tomorrow.
Both risks are defined in full on the Concepts page, and developed in the essay Visibility Is a Threshold. Representation Is the Risk.
Built for the DACH governance context
European and Swiss organizations operate under rising expectations for how AI that affects decisions is documented and governed. How your organization is represented inside AI systems, and how you manage that representation, is part of a defensible posture, not a marketing afterthought.
ABL is based in Switzerland and works across the DACH region in German and English, with the regulatory and risk sensitivities of these markets built into the advisory.
What you get
A visibility baseline
How ChatGPT, Claude, and Perplexity discover and describe your organization today: where you appear, where you do not, and how you compare. Evidence, not assumptions.
A board-ready risk overview
The gaps and misrepresentations that matter, framed as decisions for leadership, not a technical to-do list. Clear language your board can act on.
A prioritized 30/90-day roadmap
What to change, why, and in what order, sequenced for impact and built to be executed by your team, your agency, or ABL's specialist network.
Frequently asked questions
What is AI visibility advisory?+
AI visibility advisory is the board-level discipline of assessing and governing how AI systems such as ChatGPT, Claude, Perplexity, and Google AI Overviews discover, describe, and recommend an organization. It produces a baseline of how AI currently represents the company, a risk overview, and a prioritized roadmap. It is strategy and governance, not software and not implementation.
Is this just SEO or GEO?+
No. SEO and GEO are optimization disciplines, often executed by tools or agencies. AI visibility advisory sits above them: it decides whether and how an organization should be represented in AI-mediated decisions, frames the exposure for leadership, and sets priorities. The execution that follows may include GEO, but the advisory itself is independent of any tool.
Why is it a governance question rather than a marketing task?+
How AI describes a company is shaped by entity records, structured data, third-party coverage, and the compounding behavior of AI systems referencing one another, none of which a single marketing function controls. It affects who gets shortlisted before any human contact, so accountability belongs at leadership level, with the same seriousness as financial or reputational risk.
What does an engagement deliver?+
A visibility baseline (how AI systems describe you today, where you appear and where you do not, and how you compare to competitors), a board-ready risk overview framed as decisions rather than a technical to-do list, and a prioritized 30 and 90 day roadmap. Implementation is handled by your own team, your existing agency, or ABL's specialist network.
How does the EU AI Act relate to AI visibility?+
The EU AI Act raises the bar for how organizations document and govern AI that affects decisions. How your organization is represented inside AI systems, and how you manage that representation, is part of a defensible governance posture. ABL works in the DACH regulatory context, where this scrutiny is highest.
Who is this for?+
Boards, CEOs, and C-suite leaders at mid-market organizations in competitive markets, plus heads of communications, brand, strategy, and governance or risk. It is most relevant where reputation and accurate positioning drive revenue, and least relevant for organizations with no competitive pressure or no interest in governance.
See how AI describes your organization today.
The advisory is led personally by Sergio D'Alberto, 25 years in IT and product delivery, including 16 years in Microsoft's Azure engineering organization. More about ABL.
Book your Executive BriefingRelated reading: GEO vs SEO · Essays