blog-geo

name	blog-geo
description	AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
user-invokable	true
argument-hint	<file-path>

Blog GEO: AI Citation Optimization Audit

Scores blog posts for AI citation readiness across ChatGPT, Perplexity, and Google AI Overviews. Generates citation capsules and a 0-100 AI Citation Readiness score with platform-specific recommendations.

Cross-reference

This skill covers FLOW surface 3 (AI assistant citations: ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com) and contributes to surface 2 (SERP plus AI Overviews). Surface mapping: skills/blog/references/flow-alignment.md.

For directly relevant AI-citation prompts (AI-supporting-pages-rewrite-prompt, ai-detector-test, ChatGPT discovery, visibility prompts), see /blog flow optimize.

Key Research Data

Reference these benchmarks throughout the audit:

• Only 11% of domains cited by both ChatGPT and Perplexity (Digital Bloom, domain-level)
• 80% of LLM citations don't rank in Google's top 100 (Ahrefs)
• Brands 6.5x more likely cited through third-party sources (AirOps)
• 120-180 word sections get 70% more ChatGPT citations (SE Ranking, Nov 2025)
• Comparison tables with <thead> achieve 47% higher AI citation rates (directional)
• Content freshness: 76.4% of top citations updated within 30 days (Ahrefs, ~17M citations)

Audit Process

Step 1: Read Content

Extract from the blog post:

• Full content text and word count
• Heading structure (H1, H2, H3 hierarchy)
• Individual paragraphs and their word counts
• FAQ sections (if present)
• Schema markup (JSON-LD, microdata, RDFa)
• robots.txt mentions or meta robots directives
• Any TL;DR or summary boxes
• Comparison tables and their HTML structure
• Numbered/ordered lists
• Definition-style formatting

Step 2: Passage-Level Citability (4 pts)

Check each section between headings for AI-extractable passages:

Check	Criteria
Word count	Each section contains 120-180 word self-contained passages
Context independence	Each passage makes sense extracted from surrounding context
Claim structure	Passages contain: specific claim + supporting evidence + source attribution
Completeness	Passage answers a question without requiring reader to read adjacent sections

Scoring: Count passages meeting all criteria vs total sections.

• 4 pts: 80%+ sections have citable passages
• 3 pts: 60-79%
• 2 pts: 40-59%
• 1 pt: 20-39%
• 0 pts: <20%

Step 3: Q&A Formatting (3 pts)

Check heading format and answer structure:

Check	Criteria
Question headings	60-70% of H2s are phrased as questions
Answer-first format	Opening paragraph under each H2 provides a direct answer
FAQ section	Dedicated FAQ section with structured question-answer pairs

Scoring:

• 3 pts: All three criteria met
• 2 pts: Two criteria met
• 1 pt: One criterion met
• 0 pts: None met

Step 4: Entity Clarity (3 pts)

Check topic consistency and disambiguation:

Check	Criteria
Canonical topic	One unambiguous primary topic per page
Consistent naming	Same entity name used throughout (no confusing synonyms)
Intro statement	Clear topic statement in the introduction paragraph
Title-content match	Title accurately reflects the content focus

Scoring:

• 3 pts: All four criteria met
• 2 pts: Three criteria met
• 1 pt: One or two criteria met
• 0 pts: None met

Step 5: Content Structure for Extraction (3 pts)

Check for AI-extractable content patterns:

Check	Criteria
TL;DR box	40-60 word standalone summary present at top
Comparison tables	Tables with proper HTML <thead> (47% higher citation rate)
Ordered lists	Numbered lists for processes and step-by-step instructions
Definition formatting	Key terms formatted with clear definition patterns
Citation capsules	40-60 word definitive statements in each major section

Scoring:

• 3 pts: 4-5 elements present
• 2 pts: 3 elements present
• 1 pt: 1-2 elements present
• 0 pts: None present

Step 6: AI Crawler Accessibility (2 pts)

Check technical requirements for AI crawler indexing:

Check	Criteria
Static HTML	Content rendered in static HTML, not behind JavaScript
robots.txt	Allows AI crawlers: GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot
Schema in HTML	Schema markup in static HTML, not JS-injected
Page size	Reasonable page size within AI crawler limits

Scoring:

• 2 pts: All criteria met
• 1 pt: Most criteria met but one issue
• 0 pts: Multiple issues blocking AI crawlers

Step 7: Platform-Specific Analysis

Evaluate the post for each AI platform's citation preferences:

ChatGPT

• Favors "Best X" listicles (43.8% of citations)
• Prefers well-cited, authoritative content
• Recency matters: recent updates get priority
• Domain authority influences citation likelihood

Perplexity

• Favors Reddit sources (6.6% of all citations)
• Rapid content decay: 2-3 day citation window
• Freshness is the most critical factor
• Community-validated content preferred

Google AI Overviews

• Favors Google properties (23% of citations)
• High Domain Rating strongly correlated with citation
• Present in 49% of SERPs
• Prefers content that already ranks well organically

For each platform, provide:

• Current citability rating (High / Medium / Low)
• Specific improvements to increase citation likelihood
• Content format recommendations

Step 8: Generate Citation Capsules

For each H2 section in the post, write a citation capsule:

• Length: 40-60 words, self-contained
• Structure: Specific claim + data point + source attribution
• Purpose: A passage AI could directly quote as a citation
• Format: Present as a suggested addition the author can embed

Example:

According to [Source], [specific claim with number]. This represents
[context/comparison], making it [significance]. [Supporting detail
that reinforces the claim].

Generate one capsule per H2 section. Label each with the section heading it belongs under.

Step 9: Calculate AI Citation Readiness Score (0-100)

Map the 15-point subcategory scores to a 0-100 display score:

Category	Raw Points	Display Weight	Max Display Score
Passage-Level Citability	/4	x6.75	27
Q&A Formatting	/3	x6.67	20
Entity Clarity	/3	x6.67	20
Content Structure	/3	x6.67	20
AI Crawler Accessibility	/2	x6.5	13
Total	/15		100

Rating thresholds:

• 90-100: Excellent: highly citable by AI systems
• 70-89: Good: citable with minor improvements
• 50-69: Needs Work: significant gaps in citability
• Below 50: Poor: major restructuring needed

Step 10: Generate Report

Output the following report:

## AI Citation Readiness Report: [Title]

**AI Citation Readiness Score: [X]/100**: [Rating]

### Score Breakdown
| Category | Raw | Display | Max |
|----------|-----|---------|-----|
| Passage-Level Citability | X/4 | X | 27 |
| Q&A Formatting | X/3 | X | 20 |
| Entity Clarity | X/3 | X | 20 |
| Content Structure | X/3 | X | 20 |
| AI Crawler Accessibility | X/2 | X | 13 |
| **Total** | **X/15** | **X** | **100** |

### Per-Section Citability Analysis
| Section (H2) | Word Count | Self-Contained | Claim+Evidence | Citable |
|---------------|-----------|----------------|----------------|---------|
| [heading] | [N] | Yes/No | Yes/No | Yes/No |

### Platform-Specific Optimization
#### ChatGPT
- [specific recommendations]

#### Perplexity
- [specific recommendations]

#### Google AI Overviews
- [specific recommendations]

### Generated Citation Capsules

#### [H2 Section 1]
> [40-60 word citation capsule]

#### [H2 Section 2]
> [40-60 word citation capsule]

### Technical Recommendations
- [ ] [Technical fix with specifics]

### Priority Action Items
1. [Most impactful improvement]
2. [Second most impactful]
3. [Third most impactful]

Run `/blog analyze <file>` for full content quality scoring.

Optional: Search Performance Context (blog-google)

If blog-google credentials include Tier 1 (GSC) and the post has a published URL:

1. Query GSC: python3 skills/blog-google/scripts/run.py gsc_query --property <property> --filter-page <url> --json
2. Add to platform-specific analysis:
   • Current impressions, clicks, CTR, average position
   • Search queries driving traffic to this URL
3. Check indexation: python3 skills/blog-google/scripts/run.py gsc_inspect <url> --json
4. Report indexation status, canonical selection, mobile usability.
5. Falls back silently if not configured.