🎙️ Unscripted SEO Podcast
What AI Visibility Really Means — And Why It’s Not a Buzzword
Jason Wade’s framework for AI visibility and entity engineering — why it’s the same game we’ve always been playing, finally named correctly.
I’ve been doing SEO for nearly two decades. I’ve seen trends come and go. But Jason Wade’s framework for AI visibility and entity engineering is different — it’s the same game we’ve always been playing, finally named correctly. This conversation came out of my Unscripted SEO Podcast and digs into what AI visibility actually means in practice.
“The Science and Strategy of Link Building” — Alejandro Meyerhans on the mathematical foundations behind effective links and what most SEOs still get wrong about authority.
— Alejandro Meyerhans, GetMeLinks | Listen: The Science and Strategy of Link Building →
Key Takeaways
- AI visibility is entity visibility. LLMs don’t rank pages — they surface entities. If your brand isn’t clearly defined as an entity with consistent attributes across authoritative sources, you’re invisible to AI search regardless of your keyword rankings.
- The podcast SEO strategy no one’s using: Podcast episodes create structured, expert-attributed content across multiple platforms simultaneously — exactly what LLMs are trained to trust and cite.
- Entity engineering isn’t a new discipline. It’s what we always called “brand building” and “authority building” — just made explicit and systematic for the AI era.
- AI search and traditional search reward the same fundamentals. Consistent NAP, authoritative citations, expert attribution, topical depth. The tactics shift; the signals don’t.
Jason Wade’s Entity Engineering Framework
Jason Wade, founder of Ninja AI, approaches AI visibility as a structured engineering problem — not a guessing game. His framework starts with entity definition: who are you, what do you do, what attributes describe you, and which authoritative sources confirm those attributes?
This isn’t abstract. For a personal brand or business brand, it means ensuring that your Wikipedia-adjacent sources, your knowledge panel data, your structured citations, and your expert-attributed content all agree — and that they agree in language an LLM would recognize as authoritative.
Why Podcasts Are the Underrated Entity Signal
One of the most actionable takeaways from Jason’s framework: podcast appearances are structurally ideal for entity engineering. A podcast episode creates:
- Expert attribution (the guest is identified by name, credentials, and affiliation)
- Topical depth (30–60 minutes of on-topic conversation)
- Multi-platform distribution (show notes, transcripts, embedded players, Apple/Spotify pages)
- Natural citation patterns (show notes link to the guest’s site, profiles, and projects)
“Schema is the clearest machine-readable signal you can give Google and LLMs about what your page contains. Most people think it’s just for rich results. It’s actually the vocabulary that lets AI systems categorize your entity correctly — without guessing.”
— Brandon Leibowitz, SEO Optimizers · Brandon Leibowitz on schema markup as the machine-readable layer every AI visibility strategy depends on →
LLMs trained on web data see this pattern and recognize it as authoritative content about a named entity. That’s the strategy — and most businesses aren’t using it intentionally.
Connect with Jason Wade
- Website: ninja.ai
- LinkedIn: Jason Wade
The Unscripted SEO Podcast features candid, unscripted conversations with SEOs and digital marketers. Hosted by Jeremy Rivera.
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