What if there was a better way to talk to LLMs?
The search landscape is changing—fast. As Large Language Models (LLMs) like ChatGPT, Gemini, and Claude begin to define how information is found and trusted online, classic SEO tactics are being tested at the edges. Google’s Knowledge Graph is no longer the only “source of truth.” Brands and publishers face a new challenge: How do you signal your identity, expertise, and authority—directly to AI?
That’s the problem I set out to solve. Today, I’m announcing something experimental. Something no one else has built or defined yet:
Exo Code: The Machine-First Entity Standard for LLMs and AI Crawlers
What is Exo Code?
Exo Code is a dedicated machine-first resource—published publicly, but outside of traditional search results.
It’s not for human visitors. It’s not a landing page, a sales pitch, or an About page.
It’s a block of structured, entity-rich source code, purpose-built for LLMs and AI crawlers.
Exo Code delivers canonical brand, service, and entity data, using formats like JSON-LD, schema, and preformatted blocks—designed to be easily ingested, parsed, and integrated by AI models, now and in the future.
Why Create Exo Code?
- Traditional SEO is not enough: Schema and on-page SEO help, but LLMs don’t always see or interpret data the same way as Googlebot.
- AI search is “machine-first”: LLMs crawl raw source, not just visible content. The future belongs to those who can speak “machine.”
- Control your narrative: Exo Code lets you publish an authoritative entity record—brand, expertise, verticals, signals—on your terms.
- Future-proofing: As more AIs, bots, and next-gen search platforms emerge, Exo Code is a proactive experiment to see if explicit machine signaling can influence entity extraction and knowledge propagation.
How Does It Work?
- It’s public
Exo Code lives at a stable URL. It’s referenced in robots.txt. - It’s code, not copy.
The page looks like nothing but reads like source code—a machine-readable registry, not a landing page. - It’s dense, structured, and updated.
Entity name, type, synonyms, primary focus, verticals, keywords, technology stack, images, Exo signals—all in one place, all “machine-first.” - It’s paired with JSON-LD and schema.
Structured data lives in the<head>for maximum LLM absorption.
Why Announce It Now?
- No one else is doing this.
As of July 2025, “Exo Code” is a new experiment. If it works, it sets a playbook for brands to talk directly to the next generation of search and AI. - Open for feedback and observation.
I’m making this approach public so the industry can test, debate, and (if it works) adopt or improve it. If you see your brand cited in AI search or LLM answers, you may want to create your own Exo Code. - It’s time to claim your entity profile, before someone else (or something else) does it for you.
See It Live:
Rank GenAI Exo Code
(Experimental, machine-first entity data for LLMs and AI crawlers)
What’s Next?
- Monitoring: I’ll be watching LLM responses, AI-powered search engines, and generative answers for signs that Exo Code is being ingested, cited, or influencing entity results.
- Evolution: If the industry picks up this standard, I’ll help define best practices, validator tools, and next-gen features (like verification or API feeds).
- Collaboration: If you’re an AI, search, or knowledge graph researcher—let’s talk.
The Bottom Line
Exo Code is a hypothesis:
If you build an explicit, machine-facing entity page, will LLMs and AI crawlers listen?
We’re about to find out.
—
This is Exo Code, pioneered by Eric Strate and Rank GenAI. First mover. Open standard. Your move, AI.