Can You Actually Measure AI Visibility? Testing a New Revenue Model in 2026 скачать в хорошем качестве

Can You Actually Measure AI Visibility? Testing a New Revenue Model in 2026

In 2026, companies want to be visible inside generative AI platforms like ChatGPT. But here’s the problem: How do you prove it’s working? In this episode of The SaaS Playbook, Jenny Vo speaks with David Hirschfeld, Founder of Tekyz Corp, about a new freemium subscription model built around AI discoverability and the strategic challenge of validating something that has no historical benchmark. If you’re a SaaS founder, technical operator, or B2B growth leader thinking about AI search optimisation or AI visibility, this conversation will challenge your assumptions. We cover: • What AI visibility actually means for SaaS companies • Who pays in an AI discovery ecosystem • Why new markets require disciplined validation • How to design measurable real-world tests • The risks of scaling before proving signal • The role of freemium in emerging categories • How to structure growth experiments without vanity metrics This is a practical discussion about product-market validation in an AI-first world. 👉 Check out David's LinkedIn here:   / dhirschfeld   and elevate your AI game at https://tekyz.com/ ⏱ Chapters 00:00 – Why AI visibility is a new SaaS opportunity 01:05 – Introducing the AI discoverability model 02:15 – Who actually pays in this revenue structure? 03:10 – The core challenge: proving it works 04:05 – Why new categories lack benchmarks 05:10 – Designing measurable validation experiments 06:00 – Freemium models and early-stage risk 07:15 – Brainstorming real-world testing frameworks 08:00 – Next steps and strategic follow-up Music licensed via Artlist. All rights reserved to respective copyright holders.