Every Website Will Soon Have Two Versions. Nobody Knows Who Pays for the Second One.
You remember when SEO first became a thing?
"Why would I optimize my website for Google? People can just... visit it."
Ten years later, you had an entire team doing keyword research, meta tags, backlink strategies, and schema markup. Not because you wanted to — because if Google couldn't read your site, you didn't exist.
Now there's a new version of that conversation happening. "Should I make my site LLM-friendly? Should I add an llms.txt file? Should I serve structured markdown alongside my HTML?"
And just like SEO, the answer is probably going to be yes. Eventually. For everyone.
But here's the thing that kept me up last week. Search engines at least gave traffic back. You ranked on page one, people clicked, they saw your ads, you got paid. The exchange wasn't perfect — but there was a real feedback loop. You optimized your site, search sent visitors, visitors generated revenue.
LLMs don't even pretend.
Search era: You → content → search engine → user clicks → visits your site → you get paid ✅
LLM era: You → content → LLM fetches → synthesizes → user gets answer → you get... ❌
They pull from 30 sites, synthesize one answer, and cite maybe 3. You're probably not in those 3. And even if you are, the user already has their answer. Why would they click?
This Has Happened Before. Each Time It Gets Worse.
Every major platform shift has compressed creator visibility:
| Era | How users find you | What you get back | Your visibility |
|---|---|---|---|
| Open web (2000s) | Bookmarks, direct URL | 100% of the visit | ██████████ Direct |
| Search (2010s) | Search engine results | Click-through to your site | ██████░░░░ Page 1 or invisible |
| Social (mid-2010s) | Algorithmic feeds | Truncated preview, maybe a click | ████░░░░░░ Platform keeps the eyeballs |
| LLM (now) | Synthesized answer | A citation link nobody clicks | █░░░░░░░░░ Invisible supplier |
The pattern is clear: each generation promised "more reach." Each generation delivered less direct connection between creator and audience.
In the search era, at least when someone searched, they landed on your site. You could show them ads, capture emails, build a relationship. Search created a real ecosystem — it rewarded good content with traffic.
In the social era, your content appeared in feeds — but algorithmic, truncated, designed to keep users on-platform. You were creating content for someone else's engagement metrics.
In the LLM era, your content gets fetched, synthesized with 29 other sources, and delivered as a direct answer. No click, no visit, no impression. The user doesn't even know your site exists.
The Dual-Version Web Is Coming Anyway
Here's what I'm fairly certain about: every serious website will eventually serve two versions. One for humans (the HTML/CSS/JS experience we know) and one for LLMs (structured text, clean markdown, machine-readable summaries).
This isn't speculation. It's already starting:
-
llms.txtis a proposed standard — likerobots.txt, but instead of telling crawlers where not to go, it tells LLMs where your best content is. - Structured data markup (JSON-LD, schema.org) is already being used by LLMs to extract entities and relationships.
- Major CMS platforms are adding "AI-readable" export options.
- LLM-specific crawler bots (GPTBot, ClaudeBot, PerplexityBot) are already hitting your server logs. Check yours — you might be surprised.
The pressure will work exactly like mobile did. First it's optional. Then it's best practice. Then your competitors do it and you fall behind if you don't. Then it's just how websites work.
But Responsive Design Had a Business Model
Here's where the analogy breaks.
When Ethan Marcotte published "Responsive Web Design" in 2010, the business case was obvious. Mobile users were users. Serving them a better layout meant:
- More time on site → more ad impressions
- Better UX → higher conversion rates
- Mobile-friendly ranking boost → more traffic from search
Every dollar you spent on responsive design came back with interest. The incentives were perfectly aligned.
LLM-facing content has no equivalent feedback loop. Compare the two:
Responsive Design (2010):
You invest in mobile layout → Mobile users visit → They see ads → You get paid
💰 ←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←← 💰
Revenue flows back
LLM-Facing Content (now):
You invest in structured content → LLM fetches it → User gets answer → User never visits
💰 →→→→→→→→→→→→→→→→→→→→→→→ 🤖 →→→→→→→→→→→ 👤
Revenue flows... somewhere else
This is the core problem. Responsive design was a win-win. LLM-facing content, right now, is a win for LLM companies and a question mark for everyone else.
What I Think Will Happen (70% Confident)
I don't think the answer is "block all LLMs" — that's like blocking Googlebot in 2005. You disappear.
I think what actually happens is the business model catches up, like it always does. But it'll look different from ads-and-traffic. Here's where I'd put my chips:
1. Content becomes an API product.
Reddit figured this out first. They signed a $60M/year deal with Google for AI data access. AP and Axel Springer did similar deals. The message: "You want our content for your AI? Here's our price."
For the first time in 20 years, content creators might have actual pricing power. Search engines crawled the web for free, but at least they sent traffic back — a fair trade. With LLMs, there's no equivalent traffic flowing back — which means no reason to give content away for free. The real llms.txt isn't a free feed. It's a commercial interface. Think llms.txt + pricing.txt.
2. "LLM SEO" becomes a real industry.
Just like SEO, there will be an entire ecosystem around "how to get your site cited by LLMs." Prompt optimization, citation ranking, structured data strategies — people will figure out how to game LLM citations the same way they gamed Google rankings. Whether that's good or bad is debatable, but it's coming.
3. The value shifts to what LLMs can't replicate.
Transaction layers (LLMs can recommend a laptop, they can't sell you one). Interactive tools (calculators, configurators, dashboards — anything that computes based on user input). Community (the experience of being in a discussion, not reading a summary of one). Paywalled depth (free summaries, paid substance).
These aren't just survival strategies. They're where the premium value concentrates. Everything LLMs can easily scrape becomes commodity. Everything they can't becomes more valuable by contrast.
What I Don't Know (The Honest 30%)
How do small creators survive the transition? Reddit can negotiate a $60M deal. A solo blogger can't. If the future is "sell your data to AI companies," that future works for publishers with leverage and leaves everyone else as unpaid training data.
How long does this transition take? The music industry went through a similar thing with piracy and it took a decade to land on streaming. Content might take just as long. The dual-version web might be inevitable, but "inevitable in 2 years" and "inevitable in 10 years" are very different for someone trying to pay rent.
Will a new metric replace pageviews? Pageviews made sense when value = eyeballs on your page. What's the equivalent when your content is consumed inside someone else's product? "LLM impressions"? "Citation reach"? Someone will invent this metric, and it'll reshape how we think about content value. I just don't know what it looks like yet.
Does llms.txt become standard or get rejected? It could go either way. If enough publishers organize and demand payment for LLM access (like the music industry eventually did), we might see a licensing-first model. If publishers fragment and compete for "LLM visibility," it's a race to the bottom — give away more, structure better, hope for citations.
The dual-version web is probably coming. The question isn't if — it's whether content creators will have a seat at the table when the economics get sorted out, or whether we'll end up as invisible infrastructure — essential to the ecosystem, but capturing a fraction of the value we create.
I'm genuinely not sure how this plays out. If you're running a content site, a blog, a documentation hub — what's your move? Are you optimizing for LLMs already? Blocking them? Waiting for someone else to figure out the business model first?
And if anyone's actually measured the before-and-after of making their site more LLM-accessible — traffic, citations, revenue impact — I'd really love to see the data. Because right now, most of this conversation is theory. And theory is how you end up giving away value before you realize what it's worth.

