How can companies avoid mistaking “using AI” for brand differentiation?

Start with the customer’s problem

“Using AI” describes how something is done, but does not explain why a customer should choose you. Start by reviewing the website and sales materials, breaking each related claim into four columns: product capability, customer task, conditions of use, and evidence. First establish what customers need to accomplish and where they currently get stuck. If the columns contain only technical terms and cannot explain the distinct value customers receive, conduct further research or redefine the claim.

For example, suppose a team plans to promote “AI-powered analysis.” Start by asking what information customers submit, what judgment they hope to make from it, and how they currently organize and confirm that information. Then check whether existing records support those descriptions. If the only confirmed capability is that the product provides analytical output, limit the wording to that capability; it should not be rewritten directly as “helping customers make better decisions.”

When documenting the problem, record the specific situation, participating roles, current approach, obstacles, and information sources, distinguishing customers’ own words from the team’s interpretation. Try hiding internal terminology and asking someone unfamiliar with the project to describe the problem they read about. A description is suitable for a brand claim only when it corresponds to established business facts. Needs or benefits that cannot be verified should remain hypotheses, rather than being presented prematurely as a customer consensus.

Turn technical terms into delivery promises with clear conditions

Review phrases such as “intelligent analysis” and “automatic optimization” one by one, translating them into inputs, outputs, and subsequent actions that customers can observe. Each statement should explain who uses the capability and in what situation, how far the current version supports the task, what resources the company provides, and which stages still require human review. Do not publish capabilities that cannot be substantiated, and do not leave additional conditions solely in internal documentation.

For example, suppose a feature can generate a draft from information submitted by a customer, but a staff member must still confirm it. Public wording could state, “A draft is generated from the submitted information and delivered after human confirmation,” while also explaining the information requirements. Use this wording only if the current version supports the process and delivery staff can carry it out. If responsibility for confirmation remains unclear, clarify the process before publishing the promise.

During review, tie disagreements to specific sentences: the product owner confirms whether a capability exists, the business owner confirms the scope of delivery, and the content owner adjusts the wording accordingly. If departments disagree, establish whether the disagreement concerns facts, objectives, or responsibility boundaries. Acceptance should focus on whether every public promise has supporting evidence and an accountable role, and whether sales staff can explain its limits from that wording without improvising a separate explanation.

Use real tasks to check customer understanding

Validating wording requires examining both the actual workflow and how customers understand the page. Work with customers to compare task steps, waiting, errors, and the effort needed to understand the process before and after use, recording the scope and setting of the observations. Public statements should describe only results supported by the available material. Individual cases in limited settings cannot be extended into universal benefits, and showing generated output cannot replace an explanation of conditions of use and stages requiring human confirmation.

For example, suppose you want to check a service introduction page. Ask participants to read it independently, then select a suitable service or find the contact entry point, and describe the deliverables and conditions still requiring confirmation in their own words. Do not explain the answers during the task. Record where they pause, misunderstand, or ask follow-up questions, along with the device, page version, task conditions, and their exact words, so you can identify where the problem occurs.

Acceptance should center on the predefined tasks: can participants explain what the company provides, which conditions still need confirmation, and how to proceed? If they still interpret assistive output as something that can make decisions independently, revise the relevant explanation, repeat the same task, and check for new misunderstandings. Small-scale testing helps identify problems; it cannot establish that all customers understand, or prove that the value of delivery has been realized across customers.

Keep promises across channels aligned with actual delivery

Create a claims register recording public statements, their supporting evidence, applicable versions, maintainers, and next review dates. After product or business changes, use the register to review the website, advertising, exhibition displays, sales materials, and demonstrations, prioritizing content already affecting customer expectations. A correction is complete when the relevant channels have been updated, the business reviewer confirms alignment with current delivery, and the reasons for the changes and completion records have been documented.

For example, suppose the website already explains that output requires human confirmation, yet customers still say during consultations that they expect the feature to make decisions independently. Review the page the customer first saw together with consultation records and delivery materials. If sales wording caused the misunderstanding, revise the wording and training; if the page itself omitted the conditions, revise the page. Accurate website wording alone is not enough to conclude that the entire communication process is working properly.

When evaluating changes, compare customer feedback with actual delivery to see whether the original gap in understanding has been resolved. Visits or clicks alone cannot demonstrate value. If customers still cannot recognize their own problem, return to research into their situations. When citing external research or views from an industry event, link to the specific original material and state that the article is the company’s independent analysis. Do not add statements, customer conclusions, or industry data without direct supporting evidence.

Discussion Background and Scope

CES · AI & Creativity: Navigating the New Frontier in Advertising · 2025-01-09. Official page date: 2025-01-09. The source discusses ai, marketing creativity and human involvement. It is background reading, not evidence for each practical recommendation in this article. The recommendations are Qingmei Future’s independent analysis.

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