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AEO & GEO Audit Agent

Designing and engineering an interactive diagnostic engine that audits web content for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)—evaluating pages for LLM extraction readiness, direct answer probability, structured schema, and developer hand-off.

Launch Live Audit Agent ↗
6AI Audit Vectors Evaluated
1-ClickAutomated Jira Ticket Export
100%Automated JSON-LD Schema Generator

The Challenge

As user behavior transitions from traditional keyword search results to conversational AI answer engines (such as Perplexity, ChatGPT, Google Gemini/SGE, and Bing Copilot), standard technical SEO is no longer sufficient. LLM scrapers evaluate web content differently—prioritizing top-of-page summary blocks, explicit definition phrasing, concise token windows, and precise structured data.

Digital strategy and development teams lacked a unified, automated tool to evaluate web pages against these emerging AI citation factors and convert diagnostic findings into actionable developer tickets.

Direct Answers
25%
Citability
20%
Schema Markup
20%
Heading Hierarchy
15%
Direct Answer readiness (25%), Citability & Stats (20%), and Schema Markup (20%) represent the primary scoring drivers in the AEO audit engine.
Scoring breakdown and vector weights across the six core evaluation modules in the AEO & GEO diagnostic engine.

The Approach & Architecture

To solve this gap, I designed and built the AEO & GEO Audit Agent—an interactive web application combining a CORS-compliant Python proxy backend with a modular vanilla JavaScript ES Modules front-end orchestrator.

  • CORS Proxy & Content Fetcher: Implemented a lightweight Python proxy server (server.py) enabling live URL fetching, HTML parsing, DOM tree extraction, and script inspection without browser CORS restrictions.
  • 6-Vector Diagnostic Engine: Engineered algorithmic evaluators for Direct Answer Readiness (TL;DR boxes, lead sentence length), Citability (numerical data density, source references), Heading Hierarchy (question-based subheadings), JSON-LD Schema, E-E-A-T Signals, and Token Efficiency.
  • Dynamic JSON-LD Schema Generator: Programmed real-time snippet generators producing validated FAQPage, Article, and Speakable structured data based on page content.
  • AI Rewrite Previewer: Created an interactive content refactoring tool that automatically generates top-of-page TL;DR executive summary blocks and direct definition lead paragraphs.
  • Automated Developer Hand-off: Built a 1-click exporter that packages audit recommendations into formatted Jira technical tickets (complete with severity levels, business rationales, and drop-in code snippets) and clean Markdown reports.

The Outcome

The AEO & GEO Audit Agent successfully transforms abstract AI search guidelines into a repeatable, interactive diagnostic workflow. By automatically detecting content gaps and generating ready-to-use JSON-LD schema and Jira tickets, the tool empowers content strategists and web developers to rapidly optimize enterprise web properties for generative answer engines.

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