What Our Engine Audits
When you enter a URL, AEO Audit Pro triggers a deep technical, semantic, and LLM readability sweep. Here is the exact data map our application extracts and refines.
01 / Technical & Crawlability Metrics
AI Search Crawler Status
We read your raw robots.txt direct blocking strings. The engine simulates target headers to verify if bots like ChatGPT (GPTBot), OpenAI Search, Perplexity, ClaudeBot, Gemini Extended, and Cohere AI can access your content.
AEO Tokenizer Brand Disambiguation
Our parser extracts raw brand variants across your code contexts. We check if your identity strings are structurally consistent, ensuring LLM text tokenizers can map your exact company name globally without identity clashes.
Knowledge Graph & Authority Links
We scan your code for verified entity connections. The engine looks for authority reference outlinks (Wikipedia/Wikidata) and validates trusted social anchor integrations across LinkedIn, X (Twitter), Facebook, and local NAP coordinates.
HTML5 Semantic Hierarchy & Leaps
We map your core semantic architecture. The tool verifies the isolation of the HTML5 <main> tag, checks for proper <article> containers, and catches bad heading leaps (e.g., skipping from an H1 straight to an H3), which cause cascade failures for AI models.
02 / Content Density & Multimodal Elements
Word Count Analysis
Calculates total text volume. Studies show 53.4% of AI answers prefer concise data packages over overly long, fluff-heavy guides.
Conversational Q&A Loops
We count explicit Question-and-Answer formatting blocks. High conversational query loops provide clear matches for user text queries.
Semantic Layout Density
Checks for table layouts or bulleted graphs. Chatbots heavily rely on lists and tabular grids, which make up 43.8% of ChatGPT citations.
Multimodal Image Alt Coverage
We extract every image element on the page and calculate the exact ratio of missing descriptions (alt tags). Multimodal AI models (like GPT-4o) need descriptive alt text to cleanly grab and show your images inside rich chat replies.
03 / LLM Reading Competency (AEO Content Pillars)
Finally, our advanced AI integration reads your text context exactly like an LLM model would, grading your content across the **4 Core Pillars of AEO Writing** to eliminate AI knowledge flattening risk.
04 / Core Tag Extraction Matrix
Extracted and evaluated for correct token lengths.
Audited for contextual richness and keyword tokens.
Checked for single-instance compliance and topic clarity.
Actionable Diagnostics
Executive LLM Diagnostics
Our engine builds a professional 3-paragraph executive audit evaluating how modern neural networks tokenize, compress, and perceive your business niche and raw brand entity values.
Prioritized Optimization Playbook
Generates exactly 5 prioritized, tactical recommendations. These adjustments are hyper-targeted to your page category (Local Business, E-commerce, SaaS, or Blog) to quickly improve your AI citation footprint.