AI Feed
Your Website's Protocol for the AI Era
For the last twenty years, the playbook was simple: optimize your website for Google, create content humans want to read, and drive traffic to convert. You published blog posts occasionally. Maybe a few landing pages. Your homepage told your story. That was enough.
But AI agents don't browse like humans do.
They don't care about your hero image or your brand story on the homepage. They're not scrolling through your blog archive looking for insights. They're scanning thousands of pages per second, looking for structured, specific answers to precise questions.
When a buyer asks ChatGPT "what's the lead time for custom CNC machining in the Midwest?" the AI isn't reading your entire website. It's looking for a page that directly answers that question. If you don't have one, you're invisible.
Traditional CMSes weren't built for this. They're designed to publish occasional content meant for human consumption. A blog post here. A landing page there. Maybe ten pages total optimized for SEO.
That worked when humans did the searching. It doesn't work when AI does.
The old playbook is breaking
For the last twenty years, the playbook was simple: optimize your website for Google, create content humans want to read, and drive traffic to convert. You published blog posts occasionally. Maybe a few landing pages. Your homepage told your story. That was enough.
But AI agents don't browse like humans do.
They don't care about your hero image or your brand story on the homepage. They're not scrolling through your blog archive looking for insights. They're scanning thousands of pages per second, looking for structured, specific answers to precise questions.
When a buyer asks ChatGPT "what's the lead time for custom CNC machining in the Midwest?" the AI isn't reading your entire website. It's looking for a page that directly answers that question. If you don't have one, you're invisible.
Traditional CMSes weren't built for this. They're designed to publish occasional content meant for human consumption. A blog post here. A landing page there. Maybe ten pages total optimized for SEO.
That worked when humans did the searching. It doesn't work when AI does.
What AI agents actually need
AI agents need three things most websites don't provide:
Content at scale
Not 10 pages. Hundreds. Each one targets a specific query someone might ask on ChatGPT, Claude, or Gemini. "What certifications does this manufacturer have?" "Do they ship to Canada?" "What's their typical project timeline?" Every one of those questions needs its own optimized page.
Structured, machine-readable data
AI agents need to understand your content instantly. That means proper schema markup, clean HTML structure, and technical signals that make your pages easy to parse and cite. Most websites are designed for visual appeal, not machine comprehension.
Constant updates
AI algorithms change weekly. OpenAI updates how ChatGPT crawls and cites content. Google tweaks how Gemini prioritizes sources. Perplexity shifts its ranking factors. If your content isn't adapting to these changes in real-time, you're falling behind.
Most businesses can't keep up with this manually. It's too fast, too technical, and too resource-intensive.
That's where AI Feed comes in.
AI Feed is a dedicated section on your website—yourdomain.com/feeds or feeds.yourdomain.com—where AI-optimized content lives. Think of it like a library built specifically so AI agents can find you, understand what you do, and recommend you when it matters.
It plugs into your existing site. No migration. No replacing your current website. Your homepage, your product pages, your blog—all of that stays exactly as it is. AI Feed is just a new section, optimized for the AI agents your customers are now sending to do research on their behalf.
How it works
Inside AI Feed, we publish landing pages, product pages, category pages, and content pages—each one targeting a specific question buyers ask on AI search engines.
Not generic content. Specific answers.
"What industries does this distributor serve?" gets a page. "Do they offer same-day shipping?" gets a page. "What's their minimum order quantity?" gets a page.
We're talking hundreds of pages, each one optimized to appear when an AI agent is researching on behalf of a buyer. This isn't content you write once and forget. It's a living system that updates automatically as algorithms change.
When OpenAI updates how ChatGPT processes citations, AI Feed adapts your pages overnight. When Google shifts Gemini's crawling behavior, your content adjusts. You're not manually tweaking hundreds of pages every time the rules change. The infrastructure handles it.
And because AI Feed is purpose-built for machine consumption, it includes all the technical optimizations AI agents need: advanced schema markup, llms.txt files, structured data that makes your content instantly comprehensible and citation-worthy.
We're moving toward a world where discovery doesn't just happen on your website—it completes inside the AI interface itself.
AI Feed is the infrastructure that makes this possible. It's not just about being visible. It's about being actionable when an AI agent is making recommendations on behalf of a buyer.
Why this matters now
The businesses winning in AI search today aren't the biggest or the most established. They're the ones that recognized this shift early and built infrastructure for it.
Traditional SEO took years to master. AI discoverability is moving faster. The protocols are still being written. The standards are still emerging. But the direction is clear: discovery is moving from search engines to AI agents, and your website needs to speak their language.
AI Feed is how you do that. It's your protocol for staying discoverable when the web stops being about humans clicking links and starts being about AI agents making recommendations.
The shift is already happening. The businesses that adapt now won't just survive it—they'll own it.
