Today’s buyers increasingly ask AI to summarize options, assess credibility, and recommend who to trust, often before visiting a website or engaging sales. If AI cannot clearly interpret your capabilities, outcomes, and differentiation, you become invisible at the moment it matters most.

In reality, AI evaluates signals from across your entire organization to decide whether you are worth recommending:

- Delivery approach and services model
- Proof points and measurable outcomes
- Positioning, focus, and credibility signals

In this implementation-focused session, Inge Boubez presents a practical cross-functional framework paired with a technical SEO + GEO execution playbook built specifically for Microsoft partners competing in AI-driven discovery.

You will learn how to:

- Understand how AI discovery differs from traditional search
- Align leadership, sales, delivery, and marketing around one clear, repeatable story for AI and buyers
- Strengthen trust and credibility markers
- Apply neuroscience principles that explain how buyers form trust, remember value, and take action
- Use schema strategically to improve AI interpretation and trust
- Design high-impact persona, industry, FAQ, and case study pages that match how buyers ask questions

You will leave with a shared language your organization can align around, plus a prioritized roadmap your teams can execute together, so you are not just found, but chosen when AI is shaping the shortlist.