Blog Geo

Step 7: Platform-Specific Analysis

Evaluate observable readiness for each declared surface. Product behavior changes by mode, query set, geography, and date, so do not infer causal preferences from a vendor sample.

ChatGPT

• Check that material claims are source-backed and useful without depending on a specific content format.
• Treat current citation samples as non-causal context, not a listicle, freshness, or domain-authority rule.

Perplexity

• Check crawlability, source fidelity, and material freshness when the query is time-sensitive. Verify observations with current logs or reproducible tooling before describing product behavior.

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.
• Measure Search and AI-feature visibility separately. Organic overlap observed in a sample does not establish a preference or guarantee inclusion.

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 clarity, source fidelity, usefulness, and crawlability
• Content format recommendations

Step 8: Strengthen Reusable Evidence

For important sections that lack support, propose a self-contained improvement with a specific claim, the context needed to understand it, and a verified source or transparent original methodology. Do not pad every section, impose a word band, or manufacture statistics.

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

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

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 Heuristic: [X]/100**: [Rating]

This is an internal editorial heuristic, not a calibrated probability.

### Score Breakdown
| Category | Raw | Display | Max |
|----------|-----|---------|-----|
| Evidence-Backed Citability | X/4 | X | 27 |
| Purpose Fit and Reader Utility | 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) | Purpose Clear | Self-Contained | Claim+Evidence | Ready |
|---------------|---------------|----------------|----------------|-------|
| [heading] | Yes/No | 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]

### Evidence Improvements

#### [H2 Section 1]
> [Self-contained, source-backed improvement sized to the material]

#### [H2 Section 2]
> [Self-contained, source-backed improvement sized to the material]

### 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 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
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. If skipped, report SKIPPED: credentials unavailable or SKIPPED: unpublished URL.

Optional: AI Citation Readiness Heuristic

For a per-engine readiness view (distinct from the 15-point AI Citation Readiness category scored by /blog analyze), run:

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

It returns a non-calibrated 0-100 overall heuristic plus per-engine subscores for Google AI Overview, Perplexity, and ChatGPT, a factor breakdown, and up to three highest-impact fixes. Legacy overall_probability output is retained only as a compatibility alias.