Part of GEO Suite
Trust Auditor
Measure how much AI trusts you
What are LLMs and why do they matter for your business?
LLM stands for Large Language Model. These are the artificial intelligence systems behind tools like ChatGPT, Google Gemini, Claude, and Perplexity. They work by processing enormous amounts of text to learn human language patterns, which enables them to answer questions, generate content, and hold natural conversations.
When a user asks ChatGPT "what's the best project management tool?" or asks Perplexity "which laptop should I buy for graphic design?", the LLM analyzes everything it learned from the web and selects the sources it considers most trustworthy to build its response. If your brand, product, or website doesn't have the right signals, the model simply won't include you in that answer, and your competition will take that spot.
Google AI Overviews is Google's version of this technology: instead of showing just a list of links, it now generates a direct AI-powered answer at the top of search results. This means the first result many users see is no longer a link to your site, but an AI-generated response that may or may not mention you.
In short: LLMs are the new intermediaries between your business and your potential customers. More and more people use these tools to research, compare, and decide what to buy. AuraMetrics helps you ensure that when AI answers questions about your industry, your brand is part of the answer.
What it does
Trust Auditor audits the trust signals LLMs evaluate to decide whether to cite your site: domain authority, brand mentions, data consistency, quality backlinks, and online reputation. Trust is the most important filter LLMs apply. Before citing any source, they verify multiple signals: who links to your site, if your brand is consistently mentioned, if your data is verifiable, and if your content has clear authorship. Google and OpenAI refine these trust criteria with each update. What was sufficient yesterday may not be tomorrow if competition improves their signals.
Why it matters
Trust is the most important factor for LLMs. A site with excellent content but no trust signals loses against one with established authority. Each AI model update refines trust criteria. Trust Auditor keeps you informed of where you stand and what to improve to maintain visibility.
How it works
We scan your page evaluating E-E-A-T signals, backlink quality and diversity, brand mentions in authoritative sources, NAP consistency in directories, and overall reputation. The report includes individual category scores, detailed analysis of each signal, and a prioritized improvement roadmap with impact estimates.
Metrics you get
Recommended use cases
Frequently asked questions
What are trust signals for AI?
Backlinks from authoritative sites, consistent brand mentions, verifiable data, clear authorship, visible contact info, and positive online reputation. These are factors LLMs use to determine source reliability.
How to improve Trust Score fast?
Quickest improvements: fix NAP inconsistencies, implement author and organization Schema.org, ensure visible contact info, add About and team pages with verifiable data.
Does it analyze backlinks?
Yes. Evaluates quality, diversity, and relevance. 10 authoritative industry backlinks are worth far more than 100 low-quality or irrelevant ones.
How often to audit?
Quarterly minimum. After major Google updates, after content or link building strategy changes, and when you notice AI visibility drops.
Relationship with traditional SEO?
Trust signals benefit both classic SEO and GEO. Quality backlinks, strong E-E-A-T, and consistent data improve Google ranking AND LLM citation probability.
What if my Trust Score is low?
The module generates a prioritized roadmap with highest-impact improvements first. Usually significant improvement in 2-3 months with focused actions.
Includes online reputation analysis?
Yes. Evaluates brand mentions, reviews, and the general perception LLMs might have based on public sources.
How do Google updates affect Trust Score?
Google constantly refines trust criteria. What was enough a year ago may not be today. Trust Auditor lets you re-evaluate after each major update.