Agent Discoverability

The next disruption to how customers find businesses is not another social media algorithm. It is not a new SEO update. It is not a change to how Google ranks pages.

It is this: the humans who want to find you are increasingly going to send an agent to do the searching for them.

Right now, when someone wants to find a business coach, a marketing consultant, a financial advisor, or a service provider of any kind, they Google it. They scroll. They click. They read. They decide. That is a human doing a human search.

What is coming — and in many ways what is already here — is humans using AI agents to do that work on their behalf. The agent gets the prompt. The agent does the research. The agent returns a shortlist. The human makes a choice from what the agent surfaces.

If your business is not findable by an agent, you will not be on that shortlist. It does not matter how good your service is, how strong your referrals are, or how well your website ranks for human search. If an agent cannot locate, retrieve, and understand what your business offers, you are invisible to that layer of the market.

This is the next iteration of discoverability logic — and most business owners have not started thinking about it yet.

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What Agent Discoverability Actually Means

Search engine optimization was built around a simple premise: make your content legible to Google's crawlers, and Google will surface you to humans who are searching. The crawler is the intermediary between your business and the human who wants you.

Agent discoverability is the same logic applied to a new intermediary. The difference is that AI agents are far more capable than crawlers. They do not just index pages — they retrieve structured data, call APIs, access plugin ecosystems, read transcripts, summarize offers, compare pricing, and return synthesized recommendations.

To be findable by an agent, your business needs to be more than visible. It needs to be accessible, interpretable, and actionable.

What that looks like in practice is still early. But the direction is clear: businesses that build public-facing data structures, clear API access, and agent-readable skill sets will have a discoverability advantage over businesses that remain accessible only through human-readable web pages.

The Two Layers of Agent Discoverability

There are two distinct layers to think about here, and conflating them is the most common early mistake.

Layer 1: Being found by other people's agents

This is the discoverability problem. A potential client sends their AI agent to research options. The agent queries available tools, reads structured data, calls APIs, and returns a recommendation. If your business has no agent-accessible data, you are not in the pool the agent is searching.

Layer 2: Being accessed by other people's agents

This is the integration problem. Even if an agent finds you, can it actually do anything useful with what it finds? Can it book an appointment? Can it pull a services menu? Can it retrieve a price list or a case study formatted for retrieval? Or does it hit a wall of unstructured web copy that requires a human to interpret?

Most businesses have neither layer built. The ones who build both early will be positioned the way early websites were positioned in the mid-1990s — not because they were technically superior, but because they showed up when the medium was new and competition was low.

What Skills Have to Do With This

Inside Codex's architecture, skills are toggleable capabilities that extend what the agent can do. You can create custom skills that are inward-facing — specific to how your business operates, private, proprietary. But you can also create outward-facing public skills: capabilities shared with clients, with other agents, or with the broader public.

That distinction matters enormously for agent discoverability.

An outward-facing public skill is, in essence, a structured interface your business offers to the world — including to other people's agents. If someone's AI agent is researching your service area and your business has published a skill that returns a structured summary of what you offer, how to engage, and what the pathway is, that agent can retrieve and relay that information in a way that raw web content cannot match.

This is early infrastructure. Most businesses have not built it. But it is the same bet as having a website in 1997 or a LinkedIn profile in 2010 — the payoff is not immediate, but the people who moved early captured an asymmetric advantage.

This is why the Growth Academy Skills Dashboard is more than a prompt library. The 100+ Codex skills and prompts give SMB owners a practical starting point for documenting how their business works in a format agents can actually use.

The Comparison That Makes This Concrete

The mechanism shifts. The underlying logic — make your business legible to the intermediary that stands between you and the customer — stays the same.

The businesses that will struggle are the ones that wait until agent search is mainstream before they start building for it. By then, the intermediaries are set, the agent ecosystems have formed their habits, and getting included in what agents return becomes as competitive as ranking on page one of Google.

What to Do Right Now

I am not going to tell you this is urgent in the way that your Q3 revenue is urgent. It is not. Most of your customers are still finding you the old way, and that will remain true for a while.

What I am saying is that this shift is directional and accelerating. And the preparation required is not expensive, not technically complex, and not time-consuming — if you start now. It is the kind of infrastructure decision that looks obvious in retrospect and feels premature in the present.

Here is where to start:

1. Build outward-facing public skills inside Codex

As you develop inward-facing skills for your own business operations, identify which of those could also function as public-facing interfaces. A skill that summarizes your services, your process, and your intake pathway is a basic agent-readable profile of your business.

2. Make your primary data structured and accessible

Unstructured web copy is hard for agents to parse. A clearly structured services page, a machine-readable pricing summary, or an FAQ formatted for retrieval performs differently than a wall of marketing prose. Write for the agent, not just the human.

3. Evaluate your infrastructure for API-readiness

Agent-friendly tools — Google Workspace, Cloudflare, Stripe — have APIs that agents can query. Agent-hostile tools do not. If your business relies heavily on agent-hostile infrastructure, that is a discoverability gap as much as it is an operational one. Every tool decision going forward should include agent-access as a factor. Learn how to audit your tools for agent-friendliness.

4. Think about what an agent would retrieve, not just what a human would read

Run this exercise: imagine a potential client's AI agent is tasked with researching your business category. What would it find? What would it be able to access? What would it return? That gap between what exists and what you wish it would find is the discoverability gap you are building toward closing.

5. Start your own agent infrastructure now

You cannot build outward-facing agent access if your internal agent infrastructure is broken. The home base, the permissions, the file organization, the plugin connections — all of that is prerequisite to being able to offer agent-readable access to the outside world. If you have not completed the foundation, start there. Learn how to build the Agent Home Base.

Why Most Business Owners Have Not Started

The honest answer is that agent discoverability is not producing measurable results yet for most businesses. The agents doing this kind of search are limited. The ecosystems are early. The volume of agent-mediated customer discovery is still small relative to traditional search.

But that is exactly the condition that makes early positioning valuable.

The business owners who started building LinkedIn presence in 2012 were not responding to massive ROI signals. They were reading a direction. The ones who waited until LinkedIn was crowded paid a much higher cost to get visible — and many never caught up.

I spent 6 to 9 months and hundreds of hours testing Codex and other AI agents across my own business and my clients' businesses. One pattern I see consistently: the business owners who treat agent infrastructure as a future problem are the same ones who treated social media as a future problem in 2014. The time to build is before the moment when everyone agrees it matters.

For the complete framework, read the full guide.

The market will search for businesses by agent. The businesses that built for that shift early will be visible. The ones that waited will be learning SEO all over again — except this time, the rules will be written by a different intermediary.

Build for the intermediary that is coming, not just the one that is already here.

That is the only discoverability principle that survives every medium shift.

— Shanee

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This article is promoted by the companion LinkedIn post: linkedin-posts/post-26.md