Documentation
Proven Cite Platform Guide
Everything you need to understand your AI visibility scores, the 13 factor analysis framework, and how to use the platform to improve your content's citation readiness.
Getting Started
Create Your Workspace
Enter your business name, domain, and industry to set up your workspace. Proven Cite will immediately begin crawling and analyzing your pages.
Add Competitors
Optionally add up to 5 competitor domains during onboarding. Each competitor's homepage will be analyzed against the same 13 factors for direct comparison.
Review Your Dashboard
After the initial scan completes, your dashboard shows your overall AI Readability Score, Citation Readiness Score, top strengths, areas to improve, and quick-win recommendations.
The 13 Factor AI Readability Index
Direct Answer Clarity
Measures whether your content provides clear, direct answers to questions. LLMs strongly favor content with unambiguous, extractable answers positioned early in the text.
Structured Heading Logic
Evaluates the quality and hierarchy of your heading structure. LLMs use headings to understand document organization and locate relevant sections during retrieval.
Entity Clarity
Assesses how clearly your content defines and references key entities (people, products, organizations, concepts). Clear entity references help LLMs correctly attribute information.
Context Depth
Measures how thoroughly your content covers a topic with supporting details, explanations, and context. Deeper content is more likely to be treated as authoritative.
Factual Density
Evaluates the concentration of verifiable facts, statistics, data points, and specific claims. High factual density increases citation probability.
Extractability
Measures how easily LLMs can extract discrete, usable pieces of information from your content. Lists, definitions, and structured formats score highest.
Trust Signals
Assesses indicators of credibility: author attribution, citations to authoritative sources, publication dates, and evidence of expertise. LLMs weigh trust signals when deciding which sources to cite.
Query Match Coverage
Evaluates how many different user queries your content could plausibly answer. Broader coverage increases the likelihood of being retrieved for diverse prompts.
Semantic Alignment
Measures how well your content's language and terminology align with how users phrase questions to AI. Natural, conversational phrasing scores higher.
Citation Worthiness
A composite measure of whether your content contains the type of information LLMs typically cite: original data, expert analysis, unique insights, and definitive answers.
Readability for Summarization
Assesses how easily an LLM can summarize your content accurately. Clear structure, concise paragraphs, and logical flow improve summarization quality.
Freshness Signals
Evaluates indicators that your content is current and maintained: visible dates, recent references, updated statistics, and version indicators.
Actionability
Measures whether your content includes specific, actionable steps, recommendations, or instructions that users can follow.
Understanding Your Scores
AI Readability Score (0–100)
A rules based content assessment across 13 factors. A higher score indicates stronger performance against our rubric, not verified AI visibility.
Citation Readiness Score (0–100)
An assessment of content characteristics such as extractability, trust signals, and factual density. This is not a calibrated citation probability.
Factor-Level Scores
Each of the 13 factors receives its own score (0–100) with a detailed explanation and specific recommendations for improvement.
Readiness versus verified results
Readiness bands describe the rubric only. Verified results require a saved model response, question, model, and test date. A mention is not a source link, and neither proves sales or ROI.
Platform Features
Page Analysis
Every analyzed page gets a detailed breakdown across all 13 factors, complete with scores, explanations, and actionable recommendations.
Prompt Intelligence
Import customer questions or research public sources to generate question suggestions. These sources stay distinct. Suggestions are not private AI conversations or search volume. Each model remains Not tested until a saved response exists.
Competitor Comparison
See how your AI readability compares to competitors, factor by factor. Identify where you lead and where you trail.
Executive Reports
Generate stakeholder-ready PDF reports with your scores, key strengths, critical gaps, and a prioritized action roadmap.
Recommendations Engine
Get prioritized, actionable recommendations categorized as Quick Wins or High Impact, with clear implementation guidance.
Domain Rescanning
Re-analyze all your pages at any time to track progress and see how content changes affect your scores.
Competitor Analysis
Adding Competitors
Add competitor domains during onboarding or through the Competitors page. Proven Cite analyzes their homepage against the same 13 factors.
Factor Comparison
The factor comparison view shows your score against each competitor for every factor, making it easy to identify competitive advantages and gaps.
Strengths & Weaknesses
Each competitor card highlights their key strengths and weaknesses, so you can learn from what they do well and capitalize on their blind spots.
Acting on Recommendations
Priority Levels
Recommendations are categorized as Quick Wins (easy to implement, immediate impact) or High Impact (more effort but significant improvement). Start with Quick Wins for fastest results.
Factor-Specific Guidance
Each recommendation ties back to a specific factor and page, telling you exactly what to change and why it will improve your score.
Track Progress
After implementing recommendations, rescan your domain to see updated scores. The dashboard's score trajectory chart tracks your improvement over time.
Ready to analyze your content?
Set up your workspace in under 60 seconds and get your first AI visibility scores.
Get Started