Download brain/.raw/sources/claude-blog-skill/skills/blog-geo/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does blog-geo live?
The publisher keeps it at https://github.com/AgriciDaniel/claude-blog.
Which agents can use blog-geo?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
>
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
to rank or be cited in ChatGPT, Perplexity, Claude, Gemini, Copilot,
You.com, Google AI Overviews, or Google AI Mode. AI citation optimization
audit scoring blog posts for major answer surfaces. 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: ""
license: MIT
Blog GEO: AI Citation Optimization Audit
Scores blog posts for AI citation readiness across ChatGPT, Perplexity, Claude,
Gemini, Copilot, You.com, Google AI Overviews, and Google AI Mode as one SEO
workflow, not a separate discipline. Generates citation capsules and a 0-100 AI
Citation Readiness score with platform-specific recommendations.
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.
Evidence Discipline
Use numeric AI-citation benchmarks only when the report includes a source block
with URL, publisher, methodology, sample size, engine or version, query class,
retrieval date, and expiry date. If any field is missing, label the benchmark as
directional or remove the number. Default heuristics:
Self-contained 120-180 word answer passages are a practitioner heuristic.
Comparison tables with semantic headers may improve extractability, but do not
cite an uplift without a dated source block.
AI Overviews coverage is methodology-dependent: cite a dated range, not a
fixed point.
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 semantic headers such as <thead> or clear column labels
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
Google visibility
Normal crawlability and indexability for Googlebot. No special GEO/AEO file or markup is required for Google AI features
Non-Google AI crawlers
If the site wants visibility in non-Google answer engines, check robots.txt treatment for GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, and related documented crawlers
Schema in HTML
Schema markup in static HTML, not JS-injected
Page size
Reasonable page size within AI crawler limits
Scoring:
2 pts: Google crawlability/indexability is clean, and selected non-Google
crawler policies match the site's stated goals
1 pt: Google is indexable but one selected non-Google crawler or rendering
check needs review
0 pts: Google crawling/indexing is blocked or multiple selected crawlers are
unintentionally blocked
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
Often favors fresh, source-dense, community-validated content. Verify with
current logs or tooling before claiming a citation window.
Google AI Overviews
Follow Google's normal SEO guidance: make content helpful, crawlable,
indexable, and eligible for snippets. No special GEO/AEO markup or llms.txt is
required for Google visibility.
Prefers content that already ranks well organically, but verify any numeric
claims with dated source blocks.
Google AI Mode
Treat separately from AI Overviews in reports. Emphasize normal Search
eligibility, clear page purpose, accessible text, and consistency between
visible content and structured data.
Claude, Gemini, Copilot, and You.com
Evaluate content clarity, source accessibility, freshness, and whether robots
policy intentionally allows or blocks each crawler where documented.
Use engine-specific recommendations only when current docs, logs, or test
results are available.
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]
#### Google AI Mode
- [specific recommendations]
#### Claude / Gemini / Copilot / You.com
- [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.
If blog-google credentials include Tier 1 (GSC) and the post has a published URL:
Query GSC by page and query dimensions, then filter rows to the URL:
python3 skills/blog-google/scripts/run.py gsc_query --property <property> --dimensions query,page --json
Add to platform-specific analysis:
Current impressions, clicks, CTR, average position
Report indexation status, canonical selection, mobile usability.
If skipped, report SKIPPED: credentials unavailable or
SKIPPED: unpublished URL.
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:
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.
How do I install blog-geo?
Download brain/.raw/sources/claude-blog-skill/skills/blog-geo/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does blog-geo live?
The publisher keeps it at https://github.com/AgriciDaniel/claude-blog.
Which agents can use blog-geo?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.