AI Agent Readiness: Is Your Business Ready for AI Agents? | Ep.291

Agent readiness is about whether an AI agent can do more than find or recommend your business.

The AI agent also needs enough useful information to understand what you do, evaluate whether you fit a specific request, and figure out what can happen next on your website.

Getting recommended by ChatGPT and other AI platforms is useful, but it does not prove that the rest of that process works.

Think about a company with eighty employees opening a second office and looking for an IT provider.

The customer may need support in two locations, compatibility with specific systems, and help outside normal business hours.

An AI agent researching that assignment has to do more than find a list of IT companies.

It needs enough information to determine which providers serve those locations, which ones work with companies of that size, what services are actually available, and which options best match the request.

That is where agent readiness becomes a practical business issue.

The question is not whether your entire company passes or fails one universal test.

Readiness depends on what the agent has been asked to accomplish and whether your business gives it enough information to make useful progress.

What an Agent-Ready Business Needs

An agent-ready business gives an AI agent enough clear and current information to evaluate the company in the context of a real customer need.

That includes basics such as what the business actually offers, who it serves, where it operates, and whether the information being found is still accurate.

A business can be highly credible and still be a poor match for a particular assignment.

That is why simply appearing in an AI-generated answer is not enough.

The agent needs enough detail to work out whether your company fits the request and why it belongs on the list compared with other options.

This is also why I separate agent readiness into five parts: Discover, Understand, Trust, Select, and Act.

A business can perform well in one area and still struggle somewhere else.

An agent can find your business but misunderstand what you do.

It can understand your services but lack enough reliable information to trust what it finds. It can trust your company and still determine that another provider is a better fit.

And even after selecting your business, the process can still fail when the agent tries to take action.

Where an Agent-Ready Website Can Break Down

An agent-ready website has to support more than discovery.

Your website might give an AI agent enough information to compare your services but leave it completely stuck when it tries to figure out how to request a proposal, submit an inquiry, or book an appointment.

Some breakdowns come from the information itself.

Your service area might only appear in an old blog post.

A service you stopped offering may still look current. Or the website may use broad language that sounds polished but never clearly explains what the company actually does.

Other problems show up when the agent tries to interact with the website.

The information may be accurate, but the contact form does not work. The next step may be difficult to identify. Or the agent may not be able to access the information or interaction needed to continue.

Those problems require different fixes.

Publishing another general article will not repair a broken contact form, and redesigning the homepage will not automatically explain a service that has barely been described.

How to Test Your Website for Agent Readiness

A useful way to test agent readiness is to start with one realistic customer assignment.

Choose something a prospective customer might actually ask an AI agent to research.

For example, ask the agent to determine whether your company can meet a specific set of requirements, explain what information supports that conclusion, and identify how someone would take the next step with your business.

Then look closely at what happens.

Check which sources the agent uses. Watch for assumptions or outdated information. Pay attention to where the agent becomes uncertain and whether it can successfully figure out what to do next.

You are looking for a specific breakdown that you can actually improve.

One successful attempt does not prove that every AI agent will complete every assignment correctly. The more useful question is whether the same confusion keeps appearing and whether a specific change improves the result.

That gives business owners and marketing teams a practical way to work on agent readiness without assuming every problem requires more content, a website redesign, or another attempt to simply get mentioned by AI.

I’ve been spending a lot of time lately testing how AI agents interact with businesses, what they can figure out, where they get stuck, and what happens when they try to do more than just recommend a company.

What I’ve seen pretty consistently is that getting recommended by ChatGPT or another AI platform doesn’t automatically mean your business is agent-ready.

An AI agent still has to understand what you do, trust the information it finds, and be able to take the next action steps on your website.

And out of all that testing, I’ve developed a five-part framework for agent readiness: Discover, Understand, Trust, Select, and Act.

So in this episode, I’m going to walk through what I’ve been seeing across all five and what needs to be in place for an AI agent to actually take action with your business.

A lot of the conversation around AI and business has focused on getting mentioned or recommended.

And obviously that matters, because you want your company to be considered when somebody needs what you offer.

But as people use AI agents to help them research providers and work through business decisions, there’s more information involved than a company name and a link to your website.

The person giving the assignment has requirements.

They might need a particular service, support in a specific location, or a company that works with businesses just like theirs.

The agent needs enough useful information to evaluate those requirements.

And that’s where I think agent readiness becomes a practical conversation for business owners and marketing teams.

We can look at what the agent has been asked to accomplish and whether your business gives it enough to work with.

What AI Agent Readiness Actually Means

Think about a company with about eighty employees opening a second office.

They need an IT provider that can support both locations, work with the systems they already use, and help when something breaks outside normal business hours.

A person at that company could ask an AI agent to research providers and recommend three worth speaking with.

That assignment gives the agent actual requirements to work against.

Finding an IT company’s homepage is only a small piece of what actually needs to be done.

It has to determine whether the provider serves those locations, whether it works with businesses of that size, and whether after-hours support is actually included.

And eventually, the person who assigned the research needs a useful explanation of why those three providers belong on the list.

Depending on the agents’ tools and permissions, the agent might also help prepare an inquiry or work through the next step.

Some agents can interact with websites and connected business applications, although what they can successfully complete varies.

A person may still need to approve an action or finish it themselves.

So when I say agent readiness, I’m looking at whether your business gives that agent what it needs to do its job.

That job could end with a comparison somebody reads before making a decision.

It doesn’t have to end with an agent buying something or signing an agreement.

And readiness depends on the assignment.

Your website might give an agent enough information to compare your services, while leaving it completely stuck when it tries to figure out how to request a proposal.

Calling the whole business ready or unready can hide that difference.

For a business owner, that gives you somewhere practical to start.

Think about the work your prospective customers already need help with and whether an agent could make useful progress using the information you make available.

The Five-Part Framework of Agent Readiness

At OnTheStacks, we’ve developed a five-part framework for thinking about agent readiness: Discover, Understand, Trust, Select, and Act.

Those are five-parts we can look at when we’re evaluating a business.

Different agents work differently, so I’m not suggesting they all follow an identical checklist inside their software.

This gives us a way to examine where the business is helping an agent and where the process might break down.

First, is Discover.

This is the starting point.

Can the agent find your business in the context of the actual assignment?

With our IT example, the person hasn’t necessarily asked for your company by name.

They’ve asked for a provider that meets their needs.

Your business has to be discoverable in connection with the kind of work you actually want.

Second is Understand.

This goes further into what the agent can figure out once it finds you.

An IT provider might offer ongoing support, cybersecurity services, and one-time installation projects.

Can the agent distinguish those offers and determine which applies?

If the website describes everything as innovative technology solutions, there’s a lot of room for interpretation.

You know that feeling when you read a company’s website and still can’t explain what it actually does?

Giving an agent that same description doesn’t make the problem go away.

Third is Trust.

Can AI agents trust your business?

Is there enough reason to rely on the information?

For example, if you say you support companies with multiple locations, is there anything useful backing that up?

A relevant case study might explain the work, while current information about your team and services helps someone check who’s actually behind the offer.

And when I use the word trust here, I mean the evidence available to support a judgment, rather than an agent having some human-like feeling about your brand.

Fourth is Select.

This is where the specific assignment becomes really important.

Several providers could be credible, but the customer needs support at two particular locations, using particular systems.

A provider might be excellent and still be a poor match.

The agent needs enough detail to explain why your company fits those requirements, rather than recommending you simply because your name came up.

And Fifth is Act.

Can AI agents act on behalf of a human and actually take action steps on your website.

To keep it simple for this episode, that might mean preparing an inquiry for the customer to review or, when authorized, fill out and submit a contact form or book an appointment.

I’ll save making purchases and other more complex transactions for a future episode, but for now, all you need to understand is that your website needs to make the appropriate action steps clear and usable.

And here’s why I separate the five-part framework, because a business can do very well in one category and still struggle somewhere else.

An agent can discover you but misunderstand you.

It can understand you but not trust the information.

It can trust you but select somebody else.

It can select you but still fail when it tries to take action.

So if you only check whether AI mentions your company, you can miss where that breakdown actually happens.

You might spend more money trying to get discovered when the information already being found doesn’t explain your services accurately enough to support a decision.

Where to Start With Your Own Business

The place I’d start is with one realistic customer assignment.

Pick something that matters to your business, using the requirements a prospective customer would actually bring to the conversation.

For our IT provider, that could be something like: research whether this company can support an eighty-person business with two offices in Pennsylvania, explain what evidence supports that conclusion, and identify how to request a consultation.

If you try that with an agent, pay attention to what it actually used.

A polished answer can sound convincing even when it’s made assumptions.

Look at the sources and check whether they support the conclusion.

If it says you offer after-hours support, you should be able to find where that information came from.

You’re looking for a specific point of confusion you can do something about.

Maybe your service area is only mentioned in an old blog post.

Maybe a service you stopped offering is still described as current.

Or maybe the agent correctly identifies your company as a potential fit, then lands on a contact form that doesn’t work.

Each of those calls for a different fix.

Publishing another general article about your industry won’t repair a broken form, and redesigning the homepage won’t automatically explain a service you’ve barely described.

And I’d bring the people who handle sales into this too.

Ask what they regularly have to explain before a prospect can decide whether a conversation makes sense.

Some information belongs in a private conversation, of course.

But if every prospect needs the same basic answer and it’s appropriate to share publicly, why are you making everyone call to get the information?

You also want whoever manages the website involved when an agent can’t access information or complete an interaction.

The problem might be technical, and making the wording clearer won’t solve an access problem.

Keep sensible security and approval requirements in place while you investigate what’s happening.

And give yourself room to check again.

One agent succeeding once tells you something about that attempt.

It doesn’t establish that every agent will succeed with every assignment.

The useful question is whether you’re seeing the same confusion repeatedly and whether a specific improvement helps resolve it.

So take one task a prospective customer might hand to an AI agent and see how far it can get with the information your business actually makes available.

Use Discover, Understand, Trust, Select, and Act to work out where it gets stuck.

Then start with a specific improvement, whether that’s explaining a service more clearly, making useful evidence easier to find, or repairing a contact form that prevents someone from reaching you.

And if you want a broader look at how visible your business is to AI platforms, take the AI Visibility Assessment at BillCorcoranJr.com/assessment.

If you found this episode useful, send it to another business owner it might help.

And if you have any questions for me, drop ’em in the comments, send me a DM on Instagram @billcorcoranjr, hit me up on LinkedIn or drop me a line at BillCorcoranJr.com.

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