Brand Competition in the AI Era: How Should Businesses Build Trust?

Identify Trust Priorities Through Customers’ Questions Before They Decide

Start by identifying what customers need to confirm before making a choice: whether information is accurate, how their information will be used, what the features can currently do, and who will handle problems. For each specific task, document the context, participants, current approach, obstacles, and information sources, then ask outside readers to describe their questions in their own words. Keep customers’ exact words separate from internal assumptions; any judgment unsupported by existing records must remain a hypothesis to verify.

Suppose customers preparing to submit an inquiry on a website first want to know who will contact them and which services they can ask about. The team should prioritize checking the form instructions and contact arrangements instead of adding claims of trustworthiness. For acceptance, every key question should have a corresponding business fact or an explicitly identified point awaiting confirmation. If outside readers still need to understand internal terminology to make a judgment, continue revising.

Connect Feature and Service Promises to Evidence and Limits

Match each public promise to verifiable materials and a responsible owner: product specifications to version documentation, case studies to authorization, service scope to actual delivery capabilities, and customer support to a working contact channel. Describe exploration, pilot use, and formal delivery separately so that capabilities still being tried are not presented as available features. When departments disagree, first determine whether the dispute concerns facts, goals, or responsibilities, then have the relevant business owner confirm the decision.

Suppose a sales page is about to state that a product supports a particular feature, but the feature is currently being piloted under limited conditions. The recommendation is to place its pilot status, applicable conditions, and unresolved details beside the promise. Acceptance requires readers to be able to judge whether it applies to them and business staff to be able to supply supporting evidence. If the capability’s scope or delivery resources remain uncertain, narrow the wording and hold off on presenting it as a broadly applicable service advantage.

Explain Information Use and Help Options at Customer Touchpoints

Choose a touchpoint customers actually use and review the sequence of reading, entering information, viewing results, and seeking help. The page should explain applicable conditions, the form should collect only necessary information, and the description of information use should match actual practice. Results need a verifiable basis, and uncertainty should come with a route to human assistance. Place explanations about information, human responsibility, and error reporting where customers need to make decisions.

Suppose an inquiry form requests a particular piece of information. The team should first explain how it relates to the current task; if its necessity cannot be explained, the recommendation is to remove that field. Customers with questions about a result should also be able to find a working support channel. For acceptance, check each field’s purpose, the page explanation, and the arrangements for staff to handle inquiries. Human support or handling capabilities that cannot be put into practice should not be displayed as service promises.

Use Independent Tasks to Check Whether Customers Understand Correctly

Ask real users to complete reading, selection, or contact tasks independently. Observe where they pause, misunderstand, or ask follow-up questions, and ask them to explain feature conditions and next steps in their own words. Do not explain the answers during testing, as doing so makes it difficult to judge whether the page itself is clear. Record devices, page versions, task conditions, and participants’ exact words, then have business and technical staff distinguish wording problems from discrepancies in actual implementation.

Suppose participants finish reading a page and understand a pilot feature to be available for formal purchase. Check the status explanation and its placement, then repeat the same task after revision. Acceptance should focus on whether the original misunderstanding persists and whether the changes introduce new misleading impressions. Small-scale testing is only a way to discover problems; it cannot support a claim that all customers now understand. Keep records of points that remain disputed and continue verifying them.

Make Corrections, Updates, and Delivery Checks Part of Routine Work

Maintain a register of incorrect claims, including their causes, affected channels, responsible handlers, the basis for corrections, and review results. Also assign a materials maintainer, business reviewer, and content owner, and record sources, versions, and the next review date. When products or business operations change, check the website, sales materials, demonstrations, and service processes together. When citing research or views from an exhibition, link to the specific original material and explain that the article is the company’s independent analysis. Do not add statements or data without direct supporting evidence.

Suppose the website has updated its service scope while sales consultations still use the old description. Compare the page customers first saw, consultation records, and delivery materials to locate the discrepancy, then update the relevant materials or training. Acceptance should consider whether corrections are complete and whether subsequent feedback and actual delivery align; visits or clicks alone are insufficient. If fulfilling a promise still depends on individual employees making improvised fixes, improve training, updates, after-sales contact, and exception handling before promoting it as a brand advantage.

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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