git:20260706.f31393d to git:20260708.5c21c90

---

name: blog-geo

description: >

AI citation readiness audit as part of SEO, covering classic Google search

and AI search surfaces together. Use whenever the user wants their content

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>"

license: MIT

---

# Blog GEO: AI Citation Optimization Audit

Google's 2026-05-15 guidance frames generative-AI optimization as SEO: no

special markup, llms.txt requirement, or separate GEO/AEO playbook is required

for Google visibility. Use GEO/AEO as shorthand labels only.

## 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`.

## 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 |

| 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 |

| Schema in HTML | Schema markup in static HTML, not JS-injected |

| Page size | Reasonable page size within AI crawler limits |

**Scoring:**

### 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

#### Google AI Overviews

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:

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.

### Optional: AI Citation Probability Score

For a per-engine likelihood that the post gets cited by AI answer engines (distinct

from the 15-point AI Citation Readiness category scored by `/blog analyze`), run:

```bash

python3 scripts/ai_citation_score.py <file> --format markdown

```

It returns a 0-100 overall score plus per-engine subscores for Google AI Overview,

Perplexity, and ChatGPT, a factor breakdown, and up to three highest-impact fixes.