Aryna Liashuk

Answer Engine Optimization Specialist

What I Do

I optimize content for AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. My work focuses on making websites more visible in AI-generated responses through strategic content structuring, schema implementation, and answer-first optimization.

I've built proprietary tools to automate the AEO audit and implementation process, allowing me to quickly identify gaps, prioritize fixes, and measure results. I understand what makes content citable by AI engines because I've studied successful implementations and reverse-engineered the patterns.

AEO Case Study & Projects

AEO Readiness Scanner

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Proprietary Audit Tool - Web App + Chrome Extension

Built a comprehensive analysis tool that scores any webpage 0-100 on AEO readiness. This is my primary audit tool for AEO work. It identifies gaps in schema, FAQ structure, question formatting, answer quality, and content depth in seconds.

Instant Audits: Scan any page in under 3 seconds with detailed breakdown of all 6 scoring components
Chrome Extension: One-click scanning from any page for competitive research and quick client audits
Batch Analysis: Web app supports multiple URLs for site-wide AEO evaluation
Prioritized Recommendations: Automatically identifies Critical/High/Medium priority fixes based on impact
Schema Validation: Detects and validates JSON-LD structured data (Article, FAQPage, HowTo, Product, LocalBusiness, etc.)
Capabilities
Automated Scoring Schema Detection FAQ Analysis Answer Quality Evaluation Browser Extension Batch Processing

AEO Auditor Pro

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AI-Powered Deep Analysis Tool

Advanced audit tool that uses local AI (Ollama) to understand content semantically and generate context-specific recommendations. Goes beyond pattern matching to evaluate whether pages actually answer the questions they should.

Entity Extraction: AI identifies main topics and concepts to understand what the page is about
Smart Question Generation: Creates relevant questions specific to the content (not generic templates)
Answer Quality Scoring: Evaluates how well content answers each question
Context-Aware Analysis: Recommendations are tailored to actual content rather than one-size-fits-all
Capabilities
AI Content Analysis Question Matching Semantic Understanding Custom Recommendations Local LLM

Schema Master Builder

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JSON-LD Schema Generator

Streamlined tool for generating valid structured schema markup. Reduces schema implementation time from hours to minutes with pre-built templates for 12 common content types.

12 Schema Types: Organization, Person, Article, Product, FAQ Page, Local Business, Breadcrumb, WebSite, Review, HowTo, About Page, Video Object
Form-Based Interface: Fill in fields, click generate - eliminates JSON syntax errors
Validation-Ready: All output is structured for Google Rich Results Test and Schema.org validator
Copy-Paste Implementation: Generated code ready to insert into any CMS or HTML
Schema Types
Article FAQPage HowTo Product LocalBusiness +7 More

AEO Expertise

Content Optimization

  • Question-first content architecture
  • Answer-first methodology (2-3 sentence direct answers)
  • FAQ section design and implementation
  • Semantic HTML structuring
  • Header hierarchy optimization
  • Content depth analysis

Schema Implementation

  • JSON-LD markup (12 schema types)
  • FAQPage schema for Q&A content
  • Article schema for editorial content
  • HowTo schema for tutorials
  • Product/LocalBusiness schemas
  • Schema validation and testing

Analysis & Strategy

  • AEO auditing and gap analysis
  • AI citation factor research
  • Competitive AEO analysis
  • Scoring methodology design
  • Recommendation prioritization
  • Performance measurement

Technical Tools

  • Custom audit tool development
  • Chrome extension for quick scans
  • AI-powered content analysis
  • Automated schema generation
  • Web scraping for competitive research
  • HTML/DOM parsing and validation

Why I'm Good at AEO

I've studied what actually works by analyzing sites that consistently get AI citations. I've reverse-engineered their approaches and identified the patterns that drive results.

My tools aren't just software projects, they're based on research into how ChatGPT, Perplexity, and Google AI Overviews select sources. The weighted scoring system (answer quality = 40%, schema = 15%, etc.) reflects what I've observed about what matters most for citations.

I can audit a site quickly using my scanner, identify the highest-impact optimizations, implement schema and content changes, and measure the results. I built these tools because they solve real AEO workflow problems.