For Founders, Operators, Marketing leads · Intermediate · Informational · Solves: AI overviews cannibalizing traffic, Content not legible to LLMs, Declining organic reach
Key takeaways
- The web is splitting into an agentic layer and an experience layer.
- Most teams over-invest in the experience layer and ignore the agentic layer.
- Machine-legible content (structured data, llms.txt, JSON-LD) now drives distribution.
- Founders who treat both layers as one system will own the next decade.
For most of the last decade, a website was the destination. You built it, you drove traffic to it, you optimized the funnel inside it. That model is breaking apart.
The two layers of the new web
The new web has two layers. The agentic layer is what machines read: structured data, llms.txt, JSON-LD, predictable endpoints, content modeled for retrieval. The experience layer is what humans experience: motion, hierarchy, taste, the parts that convert.
Most teams are still optimizing the experience layer and ignoring the agentic layer. That works until a ChatGPT query replaces a Google search, or a Perplexity answer replaces a click. Then the team that invested in machine-legible content wins the impression before the human ever lands.
What founders should build for
For founders, the practical move is to ship for both at once. Make the experience layer better than your competitors. Make the agentic layer legible to the models that are now answering questions about your category. Neither layer is optional anymore.
The founders who treat this as one system, not two, will own the next decade of distribution.
What to do this quarter
Audit your content for machine-legibility. Add structured data. Publish an llms.txt. Model your content for retrieval. Then make the human experience better than anything else in your category.
Implementation table
| Fix | Problem | What to change | Metric | Tool |
|---|---|---|---|---|
| Add JSON-LD to every page | AI engines cannot parse your content into answers | Ship BlogPosting, Article, FAQPage, and BreadcrumbList schemas | Appearance in AI Overviews and Perplexity citations | schema.org + Next.js Metadata API |
| Publish llms.txt at the site root | LLMs have no summary of what your site is about | Write a plain-language brief of your offering, audience, and URLs | Model recall in brand queries | llmstxt.org |
Frequently asked questions
Sources & references
- Google AI Overviews and the future of searchGoogle
Primary source for AI Overviews rollout and behavior.
- llms.txt: a proposal for LLM-friendly sitesllmstxt.org
