Your brand now has two audiences: the human customer who feels and decides, and the AI agent acting on their behalf who retrieves and verifies. Winning the human requires clarity and trust built through every touchpoint. Winning the agent requires substance it can actually confirm. Organizations that treat this as a CX design challenge, not a search engine optimization project, will be the ones both audiences surface first.
AI Agents Are a New Audience in Customer Experience. Is Your Brand Ready?
AI agents are becoming a second audience in customer experience. Customers increasingly send AI assistants to research, compare, and shortlist on their behalf before any human interaction occurs. Those agents do not browse the way people do. They retrieve and verify. That shift makes how your brand shows up to an AI agent a customer experience question, not just a marketing one. This page is for CX leaders and strategy teams working out what this means for their organizations and what to do about it.
The Shift That CX Teams Haven't Fully Accounted For
Customer experience strategy has always started from the same premise: understand the people you serve, and design every interaction to meet their needs. That premise has not changed. But the path between a potential customer and an interaction with your brand has.
For most of the past decade, that path ran through search. Someone had a need, they typed a query, they evaluated what came back, they made contact. The experience your organization designed was the thing they encountered after they found you.
Now there is often a step before the step. A growing share of customers are asking an AI assistant, rather than a search engine, about the companies they are considering. That assistant researches, compares, and forms a picture of your organization on the customer's behalf. What it tells them shapes whether your brand is in the conversation at all before any human interaction begins.
Forrester found that the share of US consumers using ChatGPT to discover products climbed to 26% by early 2026. Among people who regularly use answer engines, about a third have used them for financial services and a quarter for telecommunications. These represent a meaningful and growing trend in the decision-making process in industries where CX is most consequential.
Two Audiences, Two Entirely Different Standards
To understand why this matters for CX strategy, it helps to be precise about how the two audiences differ.
Human Customers
Human customers are driven by emotion. They form impressions from how an experience feels: whether the onboarding was welcoming, whether the support agent listened, whether the resolution matched what the promise had been. Great customer experience has always been about managing and improving those feelings at scale.
AI Agents
AI agents operate on a different basis entirely. They do not feel anything. They retrieve information, cross-reference it against other sources, and evaluate what they can verify. When an agent researches a company on a customer's behalf, it is not asking how the brand made it feel. It is asking what it can confirm: what does this organization do, who have they done it for, what are the verifiable outcomes, do different sources tell the same story.
That is a fundamentally different bar. An organization can have beautiful brand storytelling, a thoughtful website experience, and a strong emotional narrative, and still perform poorly with an AI agent if the substance behind the story is hard to verify or inconsistently represented.
Both audiences are now part of the CX equation. Win the human and miss the agent, and you may lose consideration before the human ever gets to decide. Win the agent and miss the human, and you create a gap between what was promised and what gets delivered. The goal is to be ready for both.
Why This is a CX Problem, Not Just a Marketing One
It is tempting to treat AI agent optimization as a content or marketing problem. The instinct makes sense: if agents are evaluating your brand based on what they can find online, that sounds like a job for the team that manages online presence.
But framing it that way misses where the real work is. The reason some organizations show up well to AI agents and others do not is not primarily about how their content is structured. It is about whether the substance behind the content is real, consistent, and verifiable. That is a customer experience question.
An agent that researches your contact center capabilities is drawing on case study outcomes, third-party coverage, what customers have said publicly, and how consistently different sources describe what you do. If your case studies are thin, your outcomes are vague, and your customers' public statements do not reinforce your positioning, no amount of content work will fully close that gap. The fix is in the experience and the results it produces, which is exactly what CX strategy addresses.
This is part of why Andrew Reise frames being ready for AI agents as part of the experience you design, not a layer you add on afterward. The organizations that will show up well to agents are the ones with genuine depth: clear outcomes from real engagements, consistent descriptions of what they do, and third-party signals that reinforce rather than contradict what they say about themselves.
Our AI Strategy for CX, EX, and Contact Center guide covers how we help clients think through where AI fits across the customer experience, including this dimension.
What the Agent-As-Audience Shift Means in Practice
For CX and strategy leaders, the agent-as-audience reality creates a few specific questions worth sitting with.
Is your outcome data specific and verifiable?
Agents evaluate claims against what they can confirm from multiple sources. Vague claims about transformation or improvement are easy to skip past. Specific, verifiable outcomes, like a measurable cost reduction or a quantified improvement in first-call resolution, give an agent something it can work with.
The organizations that do well in an agent-mediated world tend to be the ones that have made a habit of documenting and publishing specific results. Our speech-driven call evaluation case study, which documents an estimated $9.2 million annual benefit with the specific mechanics behind it, is the kind of concrete, sourced claim that holds up to that scrutiny.
Is your positioning consistent across sources?
Agents do not just look at your own materials. They draw on coverage, third-party references, customer-generated content, and industry sources. If what those sources say about you differs from what you say about yourself, an agent will notice the inconsistency. CX organizations whose clients speak specifically and positively about their work tend to have an advantage here that is hard to replicate with content alone.
Are the moments that define your reputation designed intentionally?
The experiences that shape what customers say about you publicly, and what agents therefore learn about you, are the same experiences that CX strategy has always focused on: onboarding, key service interactions, the moments of resolution and recovery. Getting those right is not a new task. It is the same work, with a new reason it matters beyond the individual customer relationship.
For a closer look at where AI fits within the contact center, one of the environments where the agent-as-audience reality is most immediately relevant, see the Complete Guide to AI-Powered Coaching for Contact Centers.
What This Does Not Change
Customers are still people. The moments that need empathy, judgment, and genuine human connection still need a person. AI agents change who encounters your brand first and how that encounter works, but they do not change the underlying goal: understand your customers deeply and help your organization show up well in the moments that matter to them.
The organizations that handle this shift best will not be the ones that optimize most aggressively for the machine audience. They will be the ones that deliver genuinely good experiences, document the outcomes, and build a body of evidence that both the human and the agent find credible and compelling. Those two goals are not in tension. They reinforce each other.
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