AI Trust & Reputation Index
How does the AI-powered web talk about your brand — and can you trust what it’s saying?
The AI Trust & Reputation Index is a high-level visibility and sentiment audit designed for executives who want to understand how their brand is perceived, evaluated, and surfaced across AI platforms like ChatGPT, Gemini, Claude, and Bing Copilot.
Unlike traditional brand tracking, this report reveals how machines interpret your reputation — not based on ad impressions or traffic, but on structured signals, entity consistency, and language tone across large language models (LLMs).
Who Is This For?
- Founders, CMOs, and brand leaders
- Executive teams seeking AI-layer brand clarity
- Brands in competitive or trust-sensitive markets
- Companies preparing for investment, partnerships, or expansion
What This Report Answers
- What tone, trust, and context surrounds your brand across LLM platforms?
- Are you being described in a way that builds credibility — or raises red flags?
- How often are you mentioned, and in what context?
- How do sentiment and trust indicators compare to key competitors?
- Are there inconsistencies in how your brand is framed across AI engines?
What You'll See in the Report
We scan thousands of prompts, responses, and entity clusters to reveal how AI perceives your brand at scale — and how that perception might affect decision-making.
Key Data Points:
Aggregate trust score: Composite of language tone, source credibility, and brand framing
Sentiment mapping by topic: (e.g. pricing, UX, service, ethics, leadership)
Mention volume and velocity: How often your brand is cited, and where
Cross-platform consistency score: Are different AI models saying the same thing?
Risk flag index: Terms or phrases that may indicate confusion, low confidence, or negative framing
Competitive trust gap: Where others are earning trust that you’re not
Why It Matters
In today’s AI-first discovery ecosystem, your reputation doesn’t just live in reviews or social media — it’s embedded in how machines talk about you.
This report helps you:
- Benchmark and improve trust signals across LLMs
- Identify sentiment risks before they surface to customers or partners
- Build confidence in your brand’s AI-layer perception
- Align internal narrative with how the outside world actually describes you
Data Sources
- LLM prompt simulations across ChatGPT, Gemini, Claude, Bing Copilot
- Sentiment and tone modeling using NLU tools
- Entity cluster analysis and citation scans
- Competitive benchmarking with branded and unbranded queries
Deliverables
- 30+ page AI trust and sentiment report (PDF)
- Brand reputation map by topic and platform
- Executive trust scorecard
- AI inconsistency tracker
- Optional debrief with Geoscale strategy lead