| name | seo_geo_aeo_auditor |
| description | Unified model-agnostic Search Engine, Generative Engine, and Answer Engine Optimization auditor to analyze traditional visibility, AI engine discoverability, and snippet answers. |
SEO GEO AEO Auditor Skill
This skill guides the agent through performing comprehensive, model-agnostic audits of websites across the three key dimensions of modern search visibility: traditional SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO).
Auditing Pillars
The agent must audit the target site across the following three pillars, evaluating specific criteria in each dimension:
1. Traditional SEO (Search Engine Optimization)
This pillar targets visibility on traditional search engines such as Google and Bing, focusing on standard technical parameters, indexability, and clean HTML structures.
- Metadata Integrity: Verify title tags (ideal length 50 to 60 characters) and meta descriptions (ideal length 120 to 160 characters). Check for canonical tags, secure HTTPS protocols, and robots.txt indexability directives.
- Semantic HTML Structure: Analyze heading hierarchies (H1 to H6). Ensure there is exactly one H1 tag per page. Verify that HTML5 semantic tags (e.g.
<header>, <nav>, <main>, <article>, <section>, <footer>) are used to partition content logically.
- Technical Performance: Evaluate mobile responsiveness, clean URL architectures, page speed indicators, XML sitemap configurations, and core web vitals parameters (Largest Contentful Paint, Interaction to Next Paint, Cumulative Layout Shift).
- Structured Data Validation: Scan for rich schema implementations (specifically JSON-LD format) to ensure search crawlers can parse core metadata.
2. GEO (Generative Engine Optimization)
This pillar targets visibility within AI-driven search platforms and LLM synthesizers, such as Perplexity, ChatGPT Search, Gemini, and Google AI Overviews. These systems rely on authority validation, semantic networks, and dense factual structuring.
- E-E-A-T Signaling (Experience, Expertise, Authoritativeness, Trustworthiness): Audit author bios, credentials references, and external citations. Verify the presence of professional profiles and clear authorship schemas linked to Wikidata or other authoritative directories.
- Entity Clarity and Semantic Mapping: Evaluate how clearly subject-verb-object relationships are defined in the text. Ensure entity references are unambiguous and linked to global knowledge systems (Wikidata/Wikipedia) via structured metadata to help LLMs resolve entities.
- Fact Density and Factual Validation: Measure the density of verifiable facts, data statistics, expert quotes, and scientific references within the text. Generative engines prioritize dense, highly informative paragraphs over vague promotional content.
- Authoritative Citations: Check for outbound links to primary sources, research reports, academic papers, or leading industry directories. AI platforms prioritize content that provides verifiable, transparent references.
3. AEO (Answer Engine Optimization)
This pillar targets instant response features, featured snippets, and voice search systems (such as Alexa, Google Assistant, Siri, and instant LLM answers).
- Direct Answer Formatting: Audit how content answers specific queries. Look for question-phrased subheadings (H2 or H3) followed immediately by a direct, highly concise answer in a single
<p> paragraph block. This structure is optimal for LLM extraction and featured snippet displays.
- FAQ and HowTo Schema Blocks: Ensure FAQPage and HowTo JSON-LD schemas are implemented on informational pages to feed quick answer widgets.
- Conversational Voice Patterns: Check if the language uses natural conversational patterns that mimic voice search queries rather than stiff technical keywords.
Audit Workflow and Step-by-Step Execution
The agent must execute the auditing process using the following chronological workflow:
1. Parameters and Audit Scope Gathering
- Prompt the user for the target URL.
- Gathers the Audit Depth selection:
- Quick Audit: Focuses on top visibility issues, scoring, and quick structural fixes.
- Full Audit: In-depth technical crawl, metadata extraction, semantic analysis, schema verification, and customized content strategies.
2. Crawling and Asset Inspection
- Retrieve the HTML content of the target URL using safe scanning utilities (such as Playwright automation).
- Extract all metadata tags, schema structures, heading lists, text bodies, and external resource paths.
3. Metric Calculations and Scoring
The agent must calculate performance scores out of 100 for each of the three optimization dimensions based on the following weights:
- Traditional SEO Score (100 Points):
- Metadata compliance: 30 points.
- Technical speed and responsiveness: 30 points.
- Structural HTML layout: 20 points.
- Basic Schema validation: 20 points.
- GEO Score (100 Points):
- E-E-A-T and Author credibility signals: 30 points.
- Entity clarity and semantic syntax mapping: 30 points.
- Factual density and statistics: 20 points.
- Outbound authoritative citations: 20 points.
- AEO Score (100 Points):
- Direct answer paragraph formatting: 40 points.
- Question-phrased headers: 30 points.
- FAQ / HowTo Schema implementation: 30 points.
4. Prioritized Action Checklist Generation
Compile an actionable list of repairs divided into three distinct severity levels:
- High Priority: Immediate structural or technical roadblocks (e.g. missing H1, lack of HTTPS, broken schemas, absent mobile layouts).
- Medium Priority: Enhancements targeting discoverability (e.g. writing direct answer blocks, appending E-E-A-T bio credentials, resolving entity ambiguities).
- Low Priority: Long-term strategy fixes (e.g. adding sitemaps, expanding factual statistics, implementing detailed Wikidata schema linkages).
5. Report Compilation and Formatting
Construct the audit report in a clean, highly readable Markdown format containing the following sections:
- Executive Summary: Overview of scores for SEO, GEO, and AEO in a consolidated table format.
- Prioritized Action Checklist: Bulleted checklist of actionable repairs using asterisks.
- Pillar Breakdown:
- Detailed traditional SEO analysis (table of headers, meta tag character counts, schema health).
- Generative Engine (GEO) analysis (entity density, expert quote presence, EEAT authority evaluations).
- Answer Engine (AEO) analysis (snippet compatibility, direct answer formatting, FAQ schemas).
- Actionable Repair Examples: Provide concrete rewriting suggestions for a section of the user's content to demonstrate how to convert a standard promotional block into a dual GEO/AEO optimized paragraph.
