Where the web is going (and what founders should build for)

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, JSON-LD, predictable endpoints, and content modeled for retrieval. An llms.txt file can sit in that layer as an optional courtesy map. It is not a ranking switch. 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. Model your content for retrieval. If you keep an llms.txt, treat it as a maintained index, not a Google ranking lever. Then make the human experience better than anything else in your category.

The agentic layer still needs pages that models can cite. I wrote generative engine optimization without the product pitch for what that actually means on a marketing site.

If you are about to treat llms.txt as a distribution channel, read whether llms.txt actually helps AI search visibility. Google Search does not use that file for ranking. Some non-Google crawlers may use it as a courtesy map.

A website now has two contracts

The first contract is with people. The page has to explain the offer, earn trust, and make the next step obvious. The second contract is with software. Search engines, answer engines, agents, and integrations need stable URLs, explicit facts, structured relationships, and HTML they can retrieve without guessing.

Most websites overbuild one side. A beautiful campaign site can hide the actual answer inside animation and vague copy. A machine-perfect knowledge base can rank while failing to create a single conversation. The next web rewards teams that treat retrieval and experience as one product decision.

What machine-legible actually means

• Every important idea has one stable canonical URL instead of several overlapping pages.
• The title, H1, opening answer, metadata, and structured data describe the same subject.
• Claims name the company, product, person, date, and condition clearly enough to survive extraction from the page.
• Internal links connect commercial pages to the guides, comparisons, and evidence that support them.

A practical build order for founders

1. Protect the current URLs. Crawl the site, export Search Console, and identify pages that already earn impressions, links, or leads.
2. Map one clear job to each important page. Merge pages that answer the same question and redirect obsolete versions in one hop.
3. Put the useful answer in the rendered HTML. Add schema only when it matches what a visitor can actually see.
4. Then improve the human layer: proof, hierarchy, speed, interaction, and a conversion path that makes sense after the answer is delivered.

What stays human

Agents can compare features, summarize documentation, and complete routine steps. They cannot replace taste, accountability, or the confidence a buyer gets from specific proof. The human-facing layer becomes more important as generic information gets cheaper. The work is to make the facts easy for machines to retrieve while making the judgment, examples, and point of view worth visiting the original page for.