Why This Webinar Matters Right Now
Zero-click doesn’t mean “no opportunity.” It means the opportunity moved earlier in the journey.
When AI Overviews answer questions like “best option for…”, “which tool is right for…”, “pricing vs alternatives”, or “how does X compare to Y”, your brand either shows up as a trusted source—or gets ignored. Even when people do click, they arrive with stronger expectations: they want instant proof, clear differentiation, and fast confirmation.
Most websites still optimize for traditional browsing patterns:
- long intros instead of direct answers
- vague value props instead of crisp comparisons
- thin FAQs and missing proof signals
- pages that AI can’t confidently cite
In this session, we’ll show how to adapt content and page structure so AI surfaces our brand and visitors who do land convert at a higher rate.
You will understand:
- Why AI Overviews reduce clicks for some queries—but increase winner-take-more visibility for cited sources
- What makes a page citable (structure, specificity, clarity, and proof)
- Where trust is won now: pricing context, policies, comparisons, specs, and credibility blocks
- How to measure visibility-to-revenue when “rankings” no longer tell the full story
Topics Covered
- The new discovery map: where AI Overviews show up and which query types trigger zero-click behavior
- The “Citation Stack”: content patterns that make AI pick your pages as sources
- How to rewrite key pages for AI extraction (without rewriting your entire site)
- Proof that converts: reviews, outcomes, guarantees, compliance, policies, and credibility placement
- The 10-page priority list: which pages to fix first for maximum visibility and conversion impact
- Measurement that leadership cares about: assisted conversions, branded demand lift, high-intent entrances, and citation signals
Who Should Attend
Perfect for teams responsible for growing traffic quality and converting demand:
- Marketing teams improving brand visibility and revenue from organic discovery
- SEO / GEO / AEO owners adapting content for AI Overviews and answer engines
- Content teams building answer-ready pages that win trust faster
- Website / UX teams reducing friction across key journeys (product, service, pricing, comparison)
- Analytics / RevOps aligning attribution and reporting when clicks decline but influence rises
Speakers
Karthik Kalimuthu
Enterprise AI Strategy Lead
Karthik works with large organizations to adapt AI for complex websites, governance, and scale. He focuses on aligning content systems, data structures, and decision workflows so AI drives measurable business outcomes across enterprise digital platforms.
