blog-geo

Name: blog-geo
Author: AgriciDaniel

1.4kinstalls251forks

How to install blog-geo?

agricidaniel/claude-blog/blog-geo

$npx -y skills add AgriciDaniel/claude-blog --skill blog-geo

Installs into the current project.

Summary

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

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SKILL.md

1	# Blog GEO: AI Citation Optimization Audit
2
3	Scores blog posts for AI citation readiness across ChatGPT, Perplexity, and
4	Google AI Overviews. Generates citation capsules and a 0-100 AI Citation
5	Readiness score with platform-specific recommendations.
6
7	## Cross-reference
8
9	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`.
10
11	For directly relevant AI-citation prompts (AI-supporting-pages-rewrite-prompt, ai-detector-test, ChatGPT discovery, visibility prompts), see `/blog flow optimize`.
12
13	## Key Research Data
14
15	Reference these benchmarks throughout the audit:
16
17	- Only 11% of domains cited by both ChatGPT and Perplexity (Digital Bloom, domain-level)
18	- 80% of LLM citations don't rank in Google's top 100 (Ahrefs)
19	- Brands 6.5x more likely cited through third-party sources (AirOps)
20	- 120-180 word sections get 70% more ChatGPT citations (SE Ranking, Nov 2025)
21	- Comparison tables with `<thead>` achieve 47% higher AI citation rates (directional)
22	- Content freshness: 76.4% of top citations updated within 30 days (Ahrefs, ~17M citations)
23
24	## Audit Process
25
26	### Step 1: Read Content
27
28	Extract from the blog post:
29	- Full content text and word count
30	- Heading structure (H1, H2, H3 hierarchy)
31	- Individual paragraphs and their word counts
32	- FAQ sections (if present)
33	- Schema markup (JSON-LD, microdata, RDFa)
34	- robots.txt mentions or meta robots directives
35	- Any TL;DR or summary boxes
36	- Comparison tables and their HTML structure
37	- Numbered/ordered lists
38	- Definition-style formatting
39
40	### Step 2: Passage-Level Citability (4 pts)
41
42	Check each section between headings for AI-extractable passages:
43
44	\| Check \| Criteria \|
45	\|-------\|----------\|
46	\| Word count \| Each section contains 120-180 word self-contained passages \|
47	\| Context independence \| Each passage makes sense extracted from surrounding context \|
48	\| Claim structure \| Passages contain: specific claim + supporting evidence + source attribution \|
49	\| Completeness \| Passage answers a question without requiring reader to read adjacent sections \|
50
51	Scoring: Count passages meeting all criteria vs total sections.
52	- 4 pts: 80%+ sections have citable passages
53	- 3 pts: 60-79%
54	- 2 pts: 40-59%
55	- 1 pt: 20-39%
56	- 0 pts: <20%
57
58	### Step 3: Q&A Formatting (3 pts)
59
60	Check heading format and answer structure:
61
62	\| Check \| Criteria \|
63	\|-------\|----------\|
64	\| Question headings \| 60-70% of H2s are phrased as questions \|
65	\| Answer-first format \| Opening paragraph under each H2 provides a direct answer \|
66	\| FAQ section \| Dedicated FAQ section with structured question-answer pairs \|
67
68	Scoring:
69	- 3 pts: All three criteria met
70	- 2 pts: Two criteria met
71	- 1 pt: One criterion met
72	- 0 pts: None met
73
74	### Step 4: Entity Clarity (3 pts)
75
76	Check topic consistency and disambiguation:
77
78	\| Check \| Criteria \|
79	\|-------\|----------\|
80	\| Canonical topic \| One unambiguous primary topic per page \|
81	\| Consistent naming \| Same entity name used throughout (no confusing synonyms) \|
82	\| Intro statement \| Clear topic statement in the introduction paragraph \|
83	\| Title-content match \| Title accurately reflects the content focus \|
84
85	Scoring:
86	- 3 pts: All four criteria met
87	- 2 pts: Three criteria met
88	- 1 pt: One or two criteria met
89	- 0 pts: None met
90
91	### Step 5: Content Structure for Extraction (3 pts)
92
93	Check for AI-extractable content patterns:
94
95	\| Check \| Criteria \|
96	\|-------\|----------\|
97	\| TL;DR box \| 40-60 word standalone summary present at top \|
98	\| Comparison tables \| Tables with proper HTML `<thead>` (47% higher citation rate) \|
99	\| Ordered lists \| Numbered lists for processes and step-by-step instructions \|
100	\| Definition formatting \| Key terms formatted with clear definition patterns \|
101	\| Citation capsules \| 40-60 word definitive statements in each major section \|
102
103	Scoring:
104	- 3 pts: 4-5 elements present
105	- 2 pts: 3 elements present
106	- 1 pt: 1-2 elements present
107	- 0 pts: None present
108
109	### Step 6: AI Crawler Accessibility (2 pts)
110
111	Check technical requirements for AI crawler indexing:
112
113	\| Check \| Criteria \|
114	\|-------\|----------\|
115	\| Static HTML \| Content rendered in static HTML, not behind JavaScript \|
116	\| robots.txt \| All

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blog-geo

1.4kinstalls251forks

View on GitHub

How to install blog-geo?

agricidaniel/claude-blog/blog-geo

$npx -y skills add AgriciDaniel/claude-blog --skill blog-geo

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Blog GEO: AI Citation Optimization Audit
2
3	Scores blog posts for AI citation readiness across ChatGPT, Perplexity, and
4	Google AI Overviews. Generates citation capsules and a 0-100 AI Citation
5	Readiness score with platform-specific recommendations.
6
7	## Cross-reference
8
9	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`.
10
11	For directly relevant AI-citation prompts (AI-supporting-pages-rewrite-prompt, ai-detector-test, ChatGPT discovery, visibility prompts), see `/blog flow optimize`.
12
13	## Key Research Data
14
15	Reference these benchmarks throughout the audit:
16
17	- Only 11% of domains cited by both ChatGPT and Perplexity (Digital Bloom, domain-level)
18	- 80% of LLM citations don't rank in Google's top 100 (Ahrefs)
19	- Brands 6.5x more likely cited through third-party sources (AirOps)
20	- 120-180 word sections get 70% more ChatGPT citations (SE Ranking, Nov 2025)
21	- Comparison tables with `<thead>` achieve 47% higher AI citation rates (directional)
22	- Content freshness: 76.4% of top citations updated within 30 days (Ahrefs, ~17M citations)
23
24	## Audit Process
25
26	### Step 1: Read Content
27
28	Extract from the blog post:
29	- Full content text and word count
30	- Heading structure (H1, H2, H3 hierarchy)
31	- Individual paragraphs and their word counts
32	- FAQ sections (if present)
33	- Schema markup (JSON-LD, microdata, RDFa)
34	- robots.txt mentions or meta robots directives
35	- Any TL;DR or summary boxes
36	- Comparison tables and their HTML structure
37	- Numbered/ordered lists
38	- Definition-style formatting
39
40	### Step 2: Passage-Level Citability (4 pts)
41
42	Check each section between headings for AI-extractable passages:
43
44	\| Check \| Criteria \|
45	\|-------\|----------\|
46	\| Word count \| Each section contains 120-180 word self-contained passages \|
47	\| Context independence \| Each passage makes sense extracted from surrounding context \|
48	\| Claim structure \| Passages contain: specific claim + supporting evidence + source attribution \|
49	\| Completeness \| Passage answers a question without requiring reader to read adjacent sections \|
50
51	Scoring: Count passages meeting all criteria vs total sections.
52	- 4 pts: 80%+ sections have citable passages
53	- 3 pts: 60-79%
54	- 2 pts: 40-59%
55	- 1 pt: 20-39%
56	- 0 pts: <20%
57
58	### Step 3: Q&A Formatting (3 pts)
59
60	Check heading format and answer structure:
61
62	\| Check \| Criteria \|
63	\|-------\|----------\|
64	\| Question headings \| 60-70% of H2s are phrased as questions \|
65	\| Answer-first format \| Opening paragraph under each H2 provides a direct answer \|
66	\| FAQ section \| Dedicated FAQ section with structured question-answer pairs \|
67
68	Scoring:
69	- 3 pts: All three criteria met
70	- 2 pts: Two criteria met
71	- 1 pt: One criterion met
72	- 0 pts: None met
73
74	### Step 4: Entity Clarity (3 pts)
75
76	Check topic consistency and disambiguation:
77
78	\| Check \| Criteria \|
79	\|-------\|----------\|
80	\| Canonical topic \| One unambiguous primary topic per page \|
81	\| Consistent naming \| Same entity name used throughout (no confusing synonyms) \|
82	\| Intro statement \| Clear topic statement in the introduction paragraph \|
83	\| Title-content match \| Title accurately reflects the content focus \|
84
85	Scoring:
86	- 3 pts: All four criteria met
87	- 2 pts: Three criteria met
88	- 1 pt: One or two criteria met
89	- 0 pts: None met
90
91	### Step 5: Content Structure for Extraction (3 pts)
92
93	Check for AI-extractable content patterns:
94
95	\| Check \| Criteria \|
96	\|-------\|----------\|
97	\| TL;DR box \| 40-60 word standalone summary present at top \|
98	\| Comparison tables \| Tables with proper HTML `<thead>` (47% higher citation rate) \|
99	\| Ordered lists \| Numbered lists for processes and step-by-step instructions \|
100	\| Definition formatting \| Key terms formatted with clear definition patterns \|
101	\| Citation capsules \| 40-60 word definitive statements in each major section \|
102
103	Scoring:
104	- 3 pts: 4-5 elements present
105	- 2 pts: 3 elements present
106	- 1 pt: 1-2 elements present
107	- 0 pts: None present
108
109	### Step 6: AI Crawler Accessibility (2 pts)
110
111	Check technical requirements for AI crawler indexing:
112
113	\| Check \| Criteria \|
114	\|-------\|----------\|
115	\| Static HTML \| Content rendered in static HTML, not behind JavaScript \|
116	\| robots.txt \| All

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