Can You Actually Measure AI Visibility? Testing a New Revenue Model in 2026
Автор: heradigital
Загружено: 2026-02-19
Просмотров: 5
Описание:
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.
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