AEO Analyzer

AI Engine Optimization Intelligence

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Content Quality & Authority

25% Weight (Highest) 18 Checks 6 High Priority

Content checks evaluate the quality, authority, and AI-readiness of your written content. This dimension has the highest weight (25%) because AI systems prioritize high-quality, authoritative content for citations.

E-E-A-T is critical: Experience, Expertise, Authoritativeness, and Trustworthiness signals are the primary factors AI systems use to determine citation priority.

Quality & Authority Checks

Signals that establish content credibility

Content Quality

High ▼
What It Checks
Uses OpenAI GPT-4 to analyze clarity (1-10 scale), readability, professional tone, grammar quality, and content depth.
Why It's Important
High-quality content is more likely to be cited by AI as a credible source. Poor quality content reduces trust and citation likelihood significantly.
Scoring Method
Based on AI clarity score (1-10) multiplied by 10, plus quality assessment adjustments.
Excellent: >85 Good: 70-85 Pass: 60-70 Fail: <60
How To Fix
Improve clarity with simple language, fix grammar issues, add depth with supporting details, maintain professional tone.

E-E-A-T Signals

Critical ▼
What It Checks
Evaluates Experience, Expertise, Authoritativeness, and Trustworthiness signals: author attribution, credentials, citations, original research, expert language, trust indicators.
Why It's Important
E-E-A-T is Google's primary quality framework and AI systems heavily weight these signals when determining which sources to cite. Strong E-E-A-T dramatically increases citation priority.
Scoring Method
10-point E-E-A-T score multiplied by 10. AI analyzes multiple trust signals.
Excellent: >80 Good: 60-80 Pass: 40-60 Fail: <40
How To Fix
Add author bio with credentials, include citations to authoritative sources, display trust badges, add case studies or original research.
E-E-A-T Components
  • Experience: First-hand experience with the topic (case studies, personal use, real examples)
  • Expertise: Credentials, qualifications, depth of knowledge demonstrated
  • Authoritativeness: Industry recognition, citations from others, brand reputation
  • Trustworthiness: Transparency, accuracy, security, contact information

Author Credentials

High ▼
What It Checks
Detects author bio presence, expertise signals, LinkedIn links, credentials display, and professional affiliations.
Why It's Important
Clear author credentials are essential for E-E-A-T. Anonymous content is significantly less likely to be cited by AI systems.
Scoring Method
100 for full bio + credentials + links, 70 for bio only, 50 for name only, 0 for anonymous.
Excellent: Full credentials Good: Bio present Pass: Name only Fail: Anonymous
How To Fix
Add author bio section with credentials, expertise description, and profile links (LinkedIn, Twitter). Use Person schema.

Citation Quality Analysis

High ▼
What It Checks
Analyzes external link credibility, source authority, and percentage of links to trusted domains (.gov, .edu, major publications).
Why It's Important
High-quality citations from authoritative sources increase content credibility. AI systems check source quality when evaluating content trustworthiness.
Scoring Method
Based on trusted domain percentage: 100 for >50% tier-1/2, 70 for 30-50%, 50 for <30%.
Excellent: >50% authoritative Good: 30-50% Pass: Some citations Fail: None
How To Fix
Link to authoritative sources (.gov, .edu, established publications, research papers) when citing facts and statistics.

AI Readiness Checks

How well content can be extracted and used by AI

AI Readiness

High ▼
What It Checks
Evaluates AI extraction potential: clear structure, information density, fact clarity, entity recognition, extractable facts, and chunk quality.
Why It's Important
Directly measures how easily AI can extract and use your content for responses. High AI readiness = higher citation likelihood.
Scoring Method
Average of citation potential (1-10) and chunk quality scores, multiplied by 10.
Excellent: >80 Good: 70-80 Pass: 60-70 Fail: <60
How To Fix
Structure content clearly with headings, highlight key facts prominently, define entities explicitly, use lists for key points.

Semantic Richness

Medium ▼
What It Checks
Analyzes vocabulary diversity, technical terms, synonyms, related concepts, key entities, and topic coherence.
Why It's Important
Rich semantic content helps AI understand context and relationships, improving relevance matching for diverse queries.
Scoring Method
Semantic score (1-10) multiplied by 10, based on AI analysis.
Excellent: >80 Good: 70-80 Pass: 60-70 Fail: <60
How To Fix
Use varied vocabulary, include technical terms with explanations, add related concepts, maintain topic coherence throughout.

Direct Answer Provision

High ▼
What It Checks
Detects presence of direct, concise answers to potential questions. Ideal answer length is 40-60 words for featured snippet potential.
Why It's Important
Direct answers increase the likelihood of being featured in AI responses as they match user query patterns perfectly.
Scoring Method
Based on snippet potential and answer presence. Clarity score affects final result.
Excellent: >80 Good: 70-80 Pass: 50-70 Fail: <50
How To Fix
Add 40-60 word direct answers immediately after question headings. Start with the answer, then elaborate.
Example Format
<h2>What is AI Engine Optimization (AEO)?</h2>
<p><strong>AI Engine Optimization (AEO) is the practice of optimizing
web content to be better understood, indexed, and cited by AI systems
like ChatGPT, Claude, and Perplexity.</strong> Unlike traditional SEO
that focuses on search rankings, AEO focuses on how AI interprets and
presents your content in generated answers.</p>

Topical Coverage

Medium ▼
What It Checks
Evaluates comprehensiveness and depth of topic treatment: main topic identified, subtopics covered, coverage depth, identified gaps.
Why It's Important
Comprehensive coverage makes your content a complete resource, increasing its value as an AI citation source for various related queries.
Scoring Method
Completeness score (1-10) multiplied by 10, based on AI analysis.
Excellent: >80 Good: 70-80 Pass: 60-70 Fail: <60
How To Fix
Cover all aspects of the topic, add FAQ sections, include edge cases and related subtopics. Research what questions users ask.

Structure & Format Checks

Content organization and readability

Content Structure

Medium ▼
What It Checks
Evaluates paragraph length (50-200 chars optimal), presence of lists, clear section breaks.
Why It's Important
Well-structured content is easier for AI to parse and segment for specific information extraction.
Scoring Method
Base 50 + bonuses for optimal paragraphs, lists, and clear sections.
Excellent: >85 Good: 75-85 Pass: 65-75 Fail: <65
How To Fix
Keep paragraphs to 2-3 sentences, use lists for steps or items, create clear section breaks with headings.

Reading Level Analysis

Medium ▼
What It Checks
Calculates Flesch-Kincaid grade level, analyzes sentence complexity, and vocabulary accessibility.
Why It's Important
Content at grade 8-10 reading level is most accessible and preferred by AI for general audiences. Extreme complexity or simplicity reduces effectiveness.
Scoring Method
100 for grade 8-10, 80 for grade 6-12, 60 for grade 4-14, lower for extremes.
Excellent: Grade 8-10 Good: Grade 6-12 Pass: Grade 4-14 Fail: Extreme
How To Fix
Use clear language, keep sentences to 15-20 words, explain technical terms when first used.

Word Count & Depth

High ▼
What It Checks
Evaluates content length, comprehensiveness, and topic coverage depth. Checks word count against optimal ranges.
Why It's Important
Comprehensive content (1000-3000 words) is more likely to be cited as authoritative. Thin content lacks depth, excessive content may lack focus.
Scoring Method
100 for 1500-2500 words, 80 for 1000-3000, 60 for 500-1000, 40 for <500 or >5000.
Excellent: 1500-2500 Good: 1000-3000 Pass: 500-1000 Fail: <500
How To Fix
Aim for 1500-2500 words for comprehensive coverage. Focus on quality over quantity. Split very long content into multiple focused pages.

Duplicate Content Detection

High ▼
What It Checks
Scans for near-duplicate paragraphs, boilerplate content, and overall content uniqueness percentage.
Why It's Important
Duplicate content reduces AI's confidence in your content as an authoritative source. AI systems prefer unique, original content.
Scoring Method
100 for unique content, 70 for <10% duplicate, 50 for 10-30%, 0 for >30%.
Excellent: 100% unique Good: <10% duplicate Pass: <30% Fail: >30%
How To Fix
Use canonical tags for syndicated content. Rewrite duplicate sections uniquely. Avoid boilerplate copy/paste.

Trust Signal Checks

Signals that establish credibility and trustworthiness

Publication Date Detection

High ▼
What It Checks
Detects datePublished, dateModified in schema, visible date stamps on page, and content freshness signals.
Why It's Important
Publication dates help AI assess content freshness and relevance for time-sensitive queries. Undated content may be considered stale.
Scoring Method
100 for visible date + schema, 70 for schema only, 50 for visible only, 0 if missing.
Excellent: Both visible + schema Good: Either present Fail: No dates
How To Fix
Add visible publication date on page and datePublished/dateModified in Article schema.

Fact Verification Signals

Medium ▼
What It Checks
Detects ClaimReview schema, source attribution for claims, and verifiable statements with references.
Why It's Important
Fact verification signals help AI identify trustworthy content for citation. Claims with sources are more likely to be used.
Scoring Method
100 for ClaimReview schema, 70 for cited claims, 50 for basic attribution.
Excellent: ClaimReview Good: Cited claims Pass: Some attribution
How To Fix
Add ClaimReview schema for fact-checks, cite sources inline for factual claims, link to primary sources.

Contact Information

High ▼
What It Checks
Detects trust signals: contact page link, email address, phone number, and physical address presence.
Why It's Important
Contact information is a strong trust signal for E-E-A-T assessment. Sites without contact info appear less trustworthy.
Scoring Method
100 for full contact info, 70 for email + form, 50 for form only.
Excellent: Full contact Good: Email + form Pass: Contact form Fail: None
How To Fix
Add a dedicated contact page with email, phone, and physical address. Use ContactPoint schema for structured data.

Sentiment & Tone

Low ▼
What It Checks
Analyzes overall sentiment (positive/neutral/negative) and writing tone (professional, casual, academic, promotional).
Why It's Important
Professional, neutral tone is preferred by AI for factual information. Promotional content is less likely to be cited.
Scoring Method
100 for professional/neutral, 75 for professional/academic, 50 for casual/promotional.
Optimal: Professional/Neutral Acceptable: Professional Poor: Promotional
How To Fix
Remove marketing language, focus on facts, maintain objective tone. Avoid superlatives and sales pitches.
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