What is an agentic commerce advisor?
A new category for a new problem. Here is what we do and why it did not exist five years ago.
The job title is six months old. The work has been happening for three years. In 2024, when ChatGPT started recommending products and services without a browser in the loop, a category of advisor became necessary that did not exist before. We are called agentic commerce advisors, and we fix the problem that makes your company invisible when a machine is shopping.
A new job title that did not exist three years ago
In 2023 you hired an SEO agency to make Google show your business. In 2024 you hired a marketing consultant to make Meta convert your ads. In 2026 you need someone who makes ChatGPT, Claude, Gemini, and every AI agent built on their platforms choose your company when the person on the other end says what they want and the agent decides where the money goes.
That is agentic commerce. And the work required to win it sits between strategy consulting, systems integration, and SEO, which means traditional agencies cannot do it and traditional consultants do not understand it. The role exists because the gap is real, and the companies that wait while their competitors become the default answer will spend the next five years buying their market position back.
What the role actually covers
An agentic commerce advisor makes your company legible and transactable to AI agents. Here is what that means in practice.
We run the visibility audit. We ask the twenty questions a buyer asks when choosing a company like yours, run them across every major AI assistant, and show you where you appear and where you do not. Most companies learn for the first time that they are not in the conversation that generates 30% of their pipeline.
We fix the facts. Your website says one thing, your Google profile says another, and a directory you forgot about says a third. An agent sees conflict and moves to the next company. We make sure every place a machine can read about you tells the same story in a structure it understands.
We build the integrations. Agents need a door they can knock on without a human holding it open. That means live inventory, structured pricing, and a checkout or booking flow the agent can complete on behalf of its user. We spec, build, or integrate the systems that make that possible.
We open the voice channel. For companies where the sale happens in a conversation, we design and operate voice workflows that let an agent hand the customer to you at the right moment or call on the customer's behalf when the transaction requires it. I built my first working version of this in 2019, and it is now the second door every wellness practice, home services company, and professional services firm needs.
We monitor the rankings. We track the phrases that produce revenue and measure whether you are the answer every month. When you fall out, we diagnose why and fix it before the volume shifts.
How this differs from an SEO agency
An SEO agency optimizes for a person reading a list. An agentic commerce advisor optimizes for a machine making a decision.
SEO is about being seen. Agentic commerce is about being chosen. The skills overlap on structured data, citation quality, and content strategy, but they diverge sharply on implementation. An agent does not care about your keyword density or your backlink profile. It cares whether your facts agree, whether your answers are quotable, and whether it can complete the transaction without handing the job back to a human.
Most SEO agencies cannot build the machine door or design the voice workflows. Most have never instrumented an AI visibility measurement system. And most are still optimizing for Google because that is what their clients understand how to buy. The work I do assumes Google is table stakes and focuses on the layer where the money is moving.
How this differs from a management consultant
A management consultant tells you what to do. An agentic commerce advisor builds it, operates it, and measures whether it worked.
Strategy firms like McKinsey or Bain will produce a deck that says you need to be AI ready. They will not spec the API, write the integration, or run the agent through your checkout to see where it breaks. That is the work, and it is technical, operational, and iterative. I come from an operator background. I build the systems I recommend, and if something does not work, I am the one who fixes it at two in the morning.
The value is in knowing what to build and then actually building it. Consultants without an engineering and operations background will give you the map. I get you to the destination.
What an engagement looks like
Most clients start with the visibility audit. It takes two weeks, costs fifteen thousand dollars, and delivers a ranked list of the questions that matter, where you show up, where you do not, and what it will cost to fix each gap.
If you are losing to a competitor when a machine chooses, the audit tells you why. If you are winning, it tells you what to defend. Either way, you leave with a prioritized roadmap and a decision about whether to execute it internally or bring me in to do the work.
For companies that engage beyond the audit, I run one of two models. The first is project based. You want the machine door built, the voice workflows operational, or the facts corrected across every platform an agent might read. I scope it, price it, build it, and hand it back with documentation and a maintenance plan.
The second is retained. I become your agent commerce function. Every month I run the visibility audit, track the phrases that drive revenue, diagnose where you are losing ground, and fix the gaps before they cost you pipeline. This is the model that makes sense for companies in competitive categories where the defaults are still forming and six months of inattention means losing position you will not get back.
Who needs one and who does not
You need an agentic commerce advisor if you sell to consumers or small businesses and a meaningful portion of your pipeline comes from people searching for what you do or asking an assistant to recommend someone.
You need one if you have competitors and you are not confident that an AI agent choosing between you and them will choose you every time.
You need one if you sell online, take bookings, or process transactions and you do not have a way for a machine to complete the purchase without a human on your end approving it.
You do not need one if you sell enterprise software with an 18 month deal cycle and a seven figure ACV. You do not need one if you are in a regulated category where agents cannot transact. You do not need one if your business is word of mouth and referrals and discovery is not part of how you grow.
The companies that are hiring advisors like me right now are home services, wellness and healthcare, professional services, local retail, e-commerce, and SaaS companies that sell to small businesses. They are hiring us because their competitors are already showing up as the answer and they are not.
An agentic commerce advisor makes your company legible and transactable to AI agents. This includes running visibility audits to see where your business appears when AI assistants answer buyer questions, fixing factual inconsistencies across platforms, building integrations so agents can complete transactions, designing voice workflows for businesses that close through conversation, and monitoring the phrases that generate revenue to ensure your company remains the default answer.
SEO agencies optimize for people reading search results. Agentic commerce advisors optimize for machines making decisions. The work overlaps on structured data and content strategy but diverges sharply on implementation. Agents care whether your facts agree across platforms, whether your answers are directly quotable, and whether they can complete transactions without human intervention. Most SEO agencies cannot build machine accessible integrations or design voice workflows, and most are still focused primarily on Google rankings rather than AI agent selection.
You need one if you sell to consumers or small businesses, if meaningful pipeline comes from search or assistant recommendations, if you have competitors and are not confident AI agents will choose you consistently, or if you sell online or take bookings but lack a way for machines to complete purchases autonomously. Common categories include home services, wellness and healthcare, professional services, local retail, e-commerce, and SMB focused SaaS. You likely do not need one if you sell enterprise software with long sales cycles, operate in heavily regulated categories where agents cannot transact, or grow exclusively through referrals.
Most clients begin with a visibility audit: two weeks, fifteen thousand dollars, delivering a ranked list of buyer questions, where you appear in AI assistant responses, gaps, and a prioritized roadmap. Beyond the audit, engagements run project based (building specific integrations, voice workflows, or factual corrections with fixed scope and pricing) or retained (ongoing monthly visibility audits, revenue phrase tracking, and gap fixes before they impact pipeline). Retained work makes sense for competitive categories where AI agent defaults are still forming.
Neil Valentine advises companies on being found, chosen, and bought from by AI agents.
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