Trustoryx AI Evaluation Framework: Complete Scoring & Audit Guide

As AI search engines like ChatGPT Search, Perplexity, Google Gemini, and Claude Search transform how users discover services, businesses must measure their digital presence across new AI-specific dimensions.

The Trustoryx AI Evaluation Framework evaluates enterprise web properties across 10 vital dimensions to ensure max citation rate, knowledge graph inclusion, and AI search visibility.

The 10 Core AI Evaluation Dimensions

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|               TRUSTORYX AI EVALUATION FRAMEWORK                  |
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|  1. AI Readiness Score          |  6. Citation Readiness Score     |
|  2. AI Search Ranking Framework |  7. Entity Health Score          |
|  3. AI Trust Score              |  8. Knowledge Graph Health Score |
|  4. AI Visibility Score         |  9. Retrieval Readiness Score    |
|  5. Answer Quality Score        | 10. Semantic Coverage Score      |
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1. AI Readiness Score

Measures structural readiness for LLM web crawlers (such as GPTBot, PerplexityBot, ClaudeBot). Includes clean DOM architecture, semantic HTML tags (<article>, <section>, <aside>), and minimal client-side Javascript rendering friction.

2. AI Search Ranking Framework

Evaluates how effectively your content satisfies vector search similarity (e.g., Cosine Similarity in RAG systems) against direct user prompts and high-intent commercial queries.

3. AI Trust Score

Assesses authoritative trust signals, including explicit citations, peer-reviewed backlinks, schema author markup, published methodology, and domain historical consistency.

4. AI Visibility Score

Tracks your brand's presence across top LLM generation responses, AI Overviews, and conversational search benchmarks.

5. Answer Quality Score

Measures how concisely and direct your content answers key user questions. High answer quality content uses clear definitions, tabular summaries, bulleted insights, and structured data.

6. Citation Readiness Score

Evaluates the probability of LLMs linking directly to your site as a source when producing synthesized answers for users.

7. Entity Health Score

Checks whether your brand, products, founders, and services are clearly identified as distinct Wikidata and schema entities with clear node relationships.

8. Knowledge Graph Health Score

Verifies the alignment between internal Organization schema markup and external knowledge bases (Wikidata, Crunchbase, Google Knowledge Graph).

9. Retrieval Readiness Score

Optimizes document chunking, heading hierarchy, and meta contextual indicators so RAG indexers clean and accurately index your information.

10. Semantic Coverage Score

Measures thematic depth across your content clusters, ensuring complete coverage of related entity attributes, FAQs, and subtopics.

Actionable Steps to Improve Your Score

1. 1Implement JSON-LD Schema: Provide explicit Organization, Service, TechArticle, and FAQPage schemas.
2. 2Expose Crawlers: Ensure robots.txt does not block legitimate AI search crawlers like GPTBot or PerplexityBot.
3. 3Structured Format: Use tables, clear H2/H3 headings, and key takeaway bullets at the top of long articles.
4. 4Build Entity Authority: Cross-link your primary entity nodes across verified third-party profiles and high-authority industry platforms.