The default approach has been clear for years:
We design websites for user interaction. We do SEO and marketing so our ICP can find us. Once they land, we guide them toward a defined action.
That model still works.
But it feels incomplete now.
With AI systems increasingly mediating discovery, we’re no longer building just for users—we’re building for what I’d call AI Discovery itself.
Two shifts stand out:
1. Content is no longer just for reading — it’s for inference.
It’s not just about clarity or persuasion anymore. It’s about whether your content can survive answer compression, be cited across sources, and contribute to inference authority.
2. Visibility is no longer ranking — it’s selection.
Traditional SEO was about being #1.
Now it’s about whether you even make it into the shortlist moment inside an AI-generated answer.
That depends less on your website alone, and more on distributed signals—what could be described as source gravity and AI trust signals built across the web.
Then there’s the next layer: agentic commerce.
If transactions start happening inside AI interfaces, the “visit → compare → buy” journey collapses into a zero-click AI journey.
You could rank #1 on Google and still not get recommended.
Not because your site is bad—but because you weren’t visible by default within the model’s decision space.
So this raises a structural question:
- Are websites still “destinations”? Or are they becoming structured data sources for AI systems?
- Should we start building with machine-readability, entity clarity, and API accessibility in mind from day one?
- Is traditional SEO creating a kind of entity debt if it doesn’t translate into AI visibility?
Not trying to push a viewpoint here—just feels like the underlying model of how websites work is shifting.
Curious how others are thinking about this.
Are you changing how you build—or does this still feel early?