Found. Chosen. Booked.
Every AI agent that shops on your customer's behalf runs three tests on your business before it completes the transaction. Most companies fail at least one.
An agent is shopping for your customer right now. It has a goal, a budget, and instructions. It will evaluate 50 companies in three seconds and return two names. One of them will get the business. The other 48 will never know the customer existed.
The agent does not care about your brand, your testimonials, or how much you spent on your website. It runs three tests in order, and if you fail any one of them, it moves to the next company. Most businesses pass the first test, fail the second, and never get to the third. This is why your pipeline is quietly evaporating.
The three tests
TEST ONE: FOUND
Can the agent locate you and verify you exist?
The agent needs your name, category, location, hours, services, and pricing in a form a machine can read. Not marketing language. Not buried in a PDF. Not hidden behind a JavaScript dropdown. Structured facts, accessible without a browser, consistent across every place the agent might look.
Your website says you are open Monday through Friday 9 to 5. Your Google profile says Tuesday through Saturday 10 to 6. A directory listing from 2019 says you closed. The agent does not resolve this. It sees conflict and marks you unverifiable. Then it moves to a company whose facts agree.
This is the test companies think they pass but do not. You have a website. You have a listing. You assume that means you are findable. It does not. Being findable to an agent means your facts are machine readable, structurally consistent, and identical everywhere they appear. Most companies fail this on data alone before the agent even evaluates quality.
Why most businesses fail Test One
Your facts live in 40 places, were entered by 12 different people over six years, and nobody has audited them since. Your hours changed during COVID and you updated your website but not your Google profile. Your services expanded but your Yelp page still lists what you offered in 2020. Your address is formatted three different ways depending on who submitted it.
A person sees this and makes allowances. An agent sees it and assigns you a trust penalty. One inconsistency costs you points. Three inconsistencies cost you the sale. The agent has 20 other companies with clean data, and it does not need to give you the benefit of the doubt.
Most companies spend six figures on their website and zero hours making sure the 40 other places a machine reads about them say the same thing. That is the error, and it is expensive.
TEST TWO: CHOSEN
Does the agent select you over alternatives?
The agent has found five companies with consistent facts. Now it evaluates trust. This is where SEO and content strategy transfer directly, and it is where most of the competitive work happens.
The agent is looking for recent reviews that mention specifics, citations from sources it already trusts, structured data that declares what you do in a vocabulary it understands, and content that answers the actual question the buyer asked, not the one your marketing team wanted them to ask.
None of this is a trick. It is the same information a diligent person would weigh if they had unlimited time. The difference is the agent actually has unlimited time, and it will check everything.
Why passing Test One and failing Test Two is the most common mistake
Companies that fix their data think the work is done. They are findable, their facts are clean, and they assume the agent will choose them. It will not. Being findable puts you in the evaluation set. Being trustworthy is what wins the evaluation.
Your competitor has 84 reviews in the last six months. You have 12 in the last two years. Your competitor is cited by three local news sites and a trade publication the agent recognizes. You are cited by a directory scraper and a link farm. Your competitor has schema markup that tells the agent exactly what services are offered, at what price, with what guarantees. You have paragraphs of prose the agent cannot parse.
The agent weighs this in 200 milliseconds and picks your competitor. You never see the traffic. You never know you were in the consideration set. You think demand is down. Demand is fine. The agent is sending it somewhere else.
This is where companies that understand SEO have a structural advantage. Twenty years of learning how to be legible to Google transfers directly to being legible to agents. The vocabulary is structured data. The currency is citations. The ranking factor is content that matches query intent. If you have been doing this work, Test Two is not new. If you have not, you are behind companies that have.
TEST THREE: BOOKED
Can the agent complete the transaction without a human?
The agent has found you and chosen you. Now it needs to finish the job. It needs to check availability, get a quote, book the appointment, place the order, or hold the reservation. If the only way to do that is a contact form that goes to an inbox someone checks twice a day, or a phone number that rings through to voicemail after six, the agent cannot complete. So it does not. It goes back to the company that came in second and tries there.
This is the test that decides the sale, and it is the one almost nobody is ready for.
What Test Three requires technically
There are two doors you can open. The first is a machine door. The agent queries your availability, pulls live pricing, and completes the checkout on behalf of its user. This requires an API or a structured integration the agent can call without human intervention. The standards are being written right now by the payment networks and the AI labs. Companies that sell products, hold inventory, or offer scheduled services at published rates need this door.
The second is a voice door. The agent hands the customer to you at the right moment in the conversation, or it calls on the customer's behalf when the transaction requires explanation. This is what works for businesses where the sale happens through consultation: wellness practices, professional services, home services, and anything with complexity or customization.
Most businesses need one. Many need both. Almost nobody has either.
Your website was built for a person with a mouse. Your booking flow assumes eyes and hands. Your checkout has six steps and a CAPTCHA. None of this works when the buyer is a machine acting on instructions. You do not need to rebuild everything. You need one door an agent can walk through, and you need it before your competitor builds theirs.
How to run the tests on your own business
Write down the 20 questions a buyer asks when deciding between you and a competitor. Run them through ChatGPT, Claude, Gemini, and Perplexity. See where you appear, where you do not, and what the agent says about you when it does mention you.
Check the facts. Google yourself on every platform an agent might read. Do your hours match? Does your address? Do your services? If you find one inconsistency, assume there are 10 more you have not found yet.
Try to book yourself. Pretend you are the agent. Start from scratch with nothing but your company name and the city. Can you find availability without calling? Can you get a quote without filling out a form? Can you complete the transaction end to end without a human approving something? If not, neither can the agent.
The companies that run these tests in the next 90 days and fix what they find will be the defaults their agents recommend for the next five years. The companies that wait will spend that time buying the position back.
Found. Chosen. Booked. is the three test framework AI agents run when shopping on behalf of their users. Test One (FOUND) verifies the agent can locate your business and confirm your facts are consistent across platforms. Test Two (CHOSEN) evaluates whether the agent selects you over competitors based on trust signals like reviews, citations, structured data, and content quality. Test Three (BOOKED) determines whether the agent can complete the transaction autonomously through either a machine interface or voice handoff. Passing all three tests is required to capture agent driven commerce.
Audit your business information across every platform where AI agents might read about you: your website, Google Business Profile, industry directories, review sites, and citation sources. Check that your name, address, phone number, hours, services, and pricing are identical everywhere and formatted in machine readable structures (not buried in images, PDFs, or JavaScript). Run your company name plus your city through multiple AI assistants and verify they return accurate, consistent facts. Even one inconsistency across platforms can cause agents to mark you as unverifiable and move to competitors with clean data.
An agent needs one of two integration types to complete Test Three. The first is a machine door: an API or structured interface where the agent can check live availability, pull current pricing, and execute a transaction without human involvement. This works for businesses with standardized products, services, or appointment slots. The second is a voice door: a phone number that connects to a human or voice agent who can complete the consultation and close the sale. This works for professional services, wellness practices, and custom work where the transaction requires explanation. Most consumer facing businesses need at least one; many need both.
The most common error is passing Test One (having clean, consistent facts) and failing Test Two (being selected over alternatives). Companies fix their data inconsistencies and assume agents will now choose them, but being findable only puts you in the consideration set. Winning the evaluation requires recent specific reviews, citations from trusted sources, proper schema markup declaring your services and pricing in machine readable form, and content that directly answers buyer questions. Competitors who have invested in these trust signals win the agent's selection even when your facts are correct. The second most common failure is never reaching Test Three because foundational data inconsistencies eliminate you before quality evaluation even begins.
Neil Valentine advises companies on being found, chosen, and bought from by AI agents.
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