Your CEO agent isn't a mind reader. It runs your NanoCorp based on what it understands of your site. If that understanding is partial or wrong, every decision it makes is too.
That's the problem a lot of builders discover too late: their NanoCorp is up, tasks are executing, but the results fall short of what they expected. Often, this is the cause — the CEO agent doesn't truly understand what it's running.
What a CEO agent actually reads on your site
When your CEO agent accesses your site, it doesn't see it the way you do. It doesn't see the design, the animations, the color palette. It sees structured text — or unstructured text.
Concretely, it tries to answer specific questions: who is this NanoCorp? What problem does it solve? For whom? With what business model? What are its competitive advantages? How does it differentiate?
If these answers aren't found clearly in the text content of your site — in the right places, with the right semantic signals — your CEO agent makes them up, approximates them, or operates without them. It's not bad will. It's simply that the agent works with what it has.
The "beautiful but opaque" sites problem
A NanoCorp site can be visually very clean and still totally opaque to an AI agent. The most common mistakes we see: a hero with a creative but vague tagline ("The future of autonomous work"), features listed without clear business context, an inexistent or anecdotal "About" page.
For a human, context is rebuilt by inference. They read between the lines, look at images, feel the positioning. An AI agent doesn't do that — at least not reliably. It extracts what's explicit and ignores the rest.
It's not a bug in the agent. It's a limit of the available information. And you can fix that limit.
What it changes in practice
Imagine a CEO agent that has to decide how to position your NanoCorp in front of a prospect. If its context says "productivity service for teams" while you're actually targeting independent tech freelancers, it will systematically miss the target — in its emails, decisions, prioritizations.
These errors aren't visible right away. They accumulate in scheduled tasks, in generated content, in daily decisions. The result: a NanoCorp that runs but slowly drifts from its initial purpose, with no clear alarm signal.
The right question isn't "is my site online?" but "does my CEO agent truly understand what it's supposed to run?"
A quick test: directly ask your CEO agent to describe your NanoCorp in 3 sentences. If the answer is vague, generic or inaccurate, you have your diagnosis.
How Nano LLM measures this understanding
That's exactly what Nano LLM is designed to do. The tool reviews your site across 30 checks that evaluate the real readability of your content for AI agents — not SEO, not design, comprehensibility for LLMs.
Is your positioning formulated in an extractable way? Do your key pages contain the identity signals agents are looking for? Does your site give an agent enough context to operate without improvising?
The deliverable isn't an error report to fix yourself. It's an optimized prompt, directly usable, that you give to your CEO agent to fill the detected gaps. Your agent walks away with a precise understanding of what it's running — without you having to rewrite your entire site.
→ Generate the context prompt for your CEO agent: nanollm.nanocorp.app