On a scale of 1–10, how much would you trust [BRAND] if you were a [TARGET AUDIENCE] evaluating it for [USE CASE]?

Break down that score: what specific signals — evidence you can actually point to — support the score? And what's missing that would push the score higher?

Evaluate [BRAND] across the four dimensions of brand trust that a sophisticated buyer weighs:

Dimension 1 — Competence trust (1–10): Does the brand demonstrate genuine expertise, technical depth, and consistent capability? What evidence exists — and what's absent?

Dimension 2 — Benevolence trust (1–10): Does the brand appear to genuinely prioritize customer outcomes over its own commercial interests? What signals create or undermine this impression?

Dimension 3 — Integrity trust (1–10): Does the brand behave consistently — in its messaging, pricing, community presence, and how it handles difficult situations? Where does inconsistency create doubt?

Dimension 4 — Predictability trust (1–10): Can a buyer reasonably predict how [BRAND] will behave post-purchase — support quality, product direction, company stability? What signals answer those questions — and which are missing?

After all four scores: which dimension has the largest gap between current score and 10? And which dimension, if improved, would have the highest multiplier effect on the other three?

I want to inventory [BRAND]'s trust signals across six signal types:

1. Customer proof: Named case studies, specific outcomes, verifiable results — how strong and deep is [BRAND]'s customer evidence base?

2. Third-party validation: Analyst reports, award listings, independent reviews, press coverage, certifications — what external validation exists?

3. Expert endorsement: Are respected voices in [CATEGORY] associated with [BRAND] — advisors, speakers, practitioners who publicly recommend it?

4. Community signals: Does [BRAND] have an active, visible community — users who voluntarily engage, create content about, and advocate for the brand?

5. Transparency signals: Does [BRAND] publish pricing openly, share how its product works, document its methodology, acknowledge limitations? Or is everything gated and opaque?

6. Longevity signals: Does [BRAND]'s track record, customer list, and public history create a sense of stability and durability?

For each: strong / moderate / weak / absent. Then tell me: which trust signal type, if strengthened, would have the most direct impact on [BRAND]'s recommendation frequency?

Trust and awareness are often conflated but require very different investments.

Evaluate [BRAND] on both:

Awareness score (1–10): How widely recognized is [BRAND] in [CATEGORY]? How many [TARGET AUDIENCE] have heard of it?

Trust score (1–10): Of those who have heard of [BRAND], what proportion would trust it enough to recommend it without hedging? What's the trust conversion rate from awareness to recommendation?

After both scores: does [BRAND] have a trust gap (high awareness, low trust conversion) or an awareness gap (low awareness, but high trust among those who know it)?

These require completely different interventions. What's the diagnosis for [BRAND] — and which gap should it prioritize closing first?

Trust levels often vary significantly across buyer segments — a brand may be trusted by early adopters but not by enterprise buyers, or by technical users but not by executives.

Audit [BRAND]'s trust levels across three relevant buyer segments:

Segment 1: [DESCRIBE — e.g., "individual practitioners or power users"]
Segment 2: [DESCRIBE — e.g., "mid-market teams with a budget approval process"]
Segment 3: [DESCRIBE — e.g., "enterprise buyers with formal procurement and legal review"]

For each segment: which trust signals carry most weight, and how well does [BRAND] currently deliver them? Where is the trust gap largest — and what's the highest-leverage trust signal for that specific segment?

[BRAND] may be dealing with trust damage — from a product failure, negative press, a period of inconsistent quality, or a market reputation that no longer reflects current reality.

Assess the trust recovery challenge:

1. What are the trust-damaging signals currently associated with [BRAND] — reviews, criticisms, public incidents, or reputation patterns that a buyer would encounter?

2. For each damaging signal: how widespread is it, how recent is it, and how deeply embedded is it in [BRAND]'s public reputation?

3. What counter-narrative or counter-evidence is available that would offset or contextualize the damaging signals?

4. What is the realistic timeline for trust recovery in [CATEGORY] — and what specific actions (in proof, transparency, community, and consistency) would accelerate it?

Be realistic about what can be changed quickly and what requires patient, consistent signaling over time.

[BRAND] wants to build a trust architecture — a systematic, compounding set of trust signals that makes recommendation feel safe and natural for buyers and AI systems alike.

Current trust profile: [PASTE FROM PROMPT 2 OR 3]
Primary trust gap: [IDENTIFY THE WEAKEST DIMENSION]
Target audience: [ICP DESCRIPTION]

Build an 18-month trust architecture roadmap:

Quarter 1 — Foundation: What basic trust signals are missing that should be priority one — the table stakes that make [BRAND] credible enough to evaluate seriously?

Quarter 2–3 — Depth building: What trust signals, once the foundation is in place, would start building genuine depth — proof content, community, expert relationships, transparency programs?

Quarter 4–6 — Compounding: What trust investments would compound over time — becoming harder to replicate and generating more trust signal per dollar invested as they age?

For each stage: name specific deliverables, not just categories. A case study brief, a review generation program, a transparency page, an analyst relationship — name what you're building and why it addresses the specific trust gap identified.