geo-report – Security skill for AI agents

GEO Client Report Generator

Purpose

This skill aggregates outputs from all GEO audit skills into a single, professional report that can be delivered directly to a client or stakeholder. The report is written for business owners and marketing leaders, not developers — technical findings are translated into business impact and clear action items with priority levels.

How to Use This Skill

1. Run the following audits first (or use existing report data):

• geo-platform-optimizer -> GEO-PLATFORM-OPTIMIZATION.md
• geo-schema -> GEO-SCHEMA-REPORT.md
• geo-technical -> GEO-TECHNICAL-AUDIT.md
• geo-content -> GEO-CONTENT-ANALYSIS.md
• (Optional) geo-llmstxt -> llms.txt assessment
• (Optional) geo-brand-mentions -> brand authority data

2. Collect all scores and findings

3. Calculate the composite GEO Readiness Score

4. Generate the client report using the template below

5. Output: GEO-CLIENT-REPORT.md

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GEO Readiness Score Calculation

Component Weights

| Component | Weight | Source Skill |

|---|---|---|

| AI Platform Readiness | 25% | geo-platform-optimizer |

| Content Quality & E-E-A-T | 25% | geo-content |

| Technical Foundation | 20% | geo-technical |

| Schema & Structured Data | 15% | geo-schema |

| Brand Authority & Entity Presence | 15% | geo-platform-optimizer (entity signals) |

Score Formula

GEO Score = (Platform Score * 0.25) + (Content Score * 0.25) + (Technical Score * 0.20) + (Schema Score * 0.15) + (Brand Score * 0.15)

Validate each available component in [0,100] and round only the final sum. These weights are an editorial rubric, not a platform-endorsed ranking or citation probability. Missing audits are N/A, not zero; do not publish a comparable composite unless all five components use the same rubric/scope/date. Example: five scores of 80 yield 80/100; this does not predict 80% citation likelihood.

Score Interpretation for Clients

| Score Range | Label | Client-Facing Description |

|---|---|---|

| 85-100 | Excellent | Few gaps under the documented audit rubric; actual visibility unmeasured unless separately sampled. |

| 70-84 | Good | Several documented improvements remain. |

| 55-69 | Moderate | Review the observed gaps and coverage limits. |

| 40-54 | Below Average | Many rubric checks need attention; no competitive-loss inference follows. |

| 0-39 | Needs Attention | Prioritize verified access/content defects; score alone does not prove invisibility. |

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Report Template

The complete report follows this exact structure. Each section includes instructions on what to write and how.

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Section 1: Executive Summary

Write exactly ONE paragraph (4-6 sentences) covering:

• What was analyzed (domain, number of pages, date of analysis)
• The overall GEO Readiness Score with context ("XX/100, which places [brand] in the [label] tier")
• The single most impactful finding (positive or negative)
• Top 3 priority recommendations in one sentence
• One evidence-supported business implication. Include monetary scenarios only with measured baseline, explicit assumptions and uncertainty; otherwise state impact unmeasured.

Tone: Confident, direct, professional. No jargon. Distinguish observations, uncertainty and hypotheses. Write as a consultant delivering findings, not as a tool generating a report.

Section 2: GEO Readiness Score

Present the overall score prominently:

## GEO Readiness Score: XX/100 — [Label]

Then break down by component in a table:

| Component | Score | Weight | Weighted Score |
|---|---|---|---|
| AI Platform Readiness | XX/100 | 25% | XX |
| Content Quality & E-E-A-T | XX/100 | 25% | XX |
| Technical Foundation | XX/100 | 20% | XX |
| Schema & Structured Data | XX/100 | 15% | XX |
| Brand Authority | XX/100 | 15% | XX |
| **Overall** | | | **XX/100** |

Section 3: AI Visibility Dashboard

Present per-platform readiness scores:

## AI Visibility Dashboard

| AI Platform | Readiness Score | Key Gap | Priority Action |
|---|---|---|---|
| Google AI Overviews | XX/100 | [One-line gap] | [One-line action] |
| ChatGPT Web Search | XX/100 | [One-line gap] | [One-line action] |
| Perplexity AI | XX/100 | [One-line gap] | [One-line action] |
| Google Gemini | XX/100 | [One-line gap] | [One-line action] |
| Bing Copilot | XX/100 | [One-line gap] | [One-line action] |

Add a brief paragraph explaining what these scores mean: "These scores summarize checks in our disclosed rubric; they do not estimate citation probability. Report measured citations separately with prompt set, locale, date, account/mode and sampling limitations."

Section 4: AI Crawler Access Status

Present as a clear table:

## AI Crawler Access

| AI Crawler | Platform | Status | Impact | Recommendation |
|---|---|---|---|---|
| Googlebot | Google Search + AIO | Allowed/Blocked | Critical | [Action] |
| OAI-SearchBot | OpenAI search discovery | Allowed/Blocked/Unknown | [Observed effect] | [Action] |
| GPTBot | OpenAI model-training crawl | Allowed/Blocked/Unknown | Policy choice | [Action] |
| Bingbot | Bing + Copilot + ChatGPT | Allowed/Blocked | High | [Action] |
| PerplexityBot | Perplexity AI | Allowed/Blocked | Medium | [Action] |
| Google-Extended | Gemini Training | Allowed/Blocked | Medium | [Action] |
| ClaudeBot | Anthropic Claude | Allowed/Blocked | Medium | [Action] |
| Applebot-Extended | Apple Intelligence | Allowed/Blocked | Medium | [Action] |

Translate for the client: Distinguish search discovery, user-requested fetching and training controls using current vendor documentation. Allowing training is not required for search eligibility. Respect the owner’s licensing/privacy opt-outs; robots rules do not guarantee crawling, indexing, citation or access control.

Section 5: Brand Authority Analysis

Present entity presence across platforms:

## Brand Authority

| Platform | Presence | Status | Impact on AI Visibility |
|---|---|---|---|
| Wikipedia | Yes/No | [Detail] | [Observed relevance; no universal citation share] |
| Wikidata | Yes/No | [Detail] | High — machine-readable entity data |
| LinkedIn | Yes/No | [Detail] | High — Bing Copilot and ChatGPT signal |
| YouTube | Yes/No | [Detail] | High — Gemini and Perplexity signal |
| Reddit | Yes/No | [Detail] | [Observed relevance; no universal citation share] |
| Google Knowledge Panel | Yes/No | [Detail] | High — Gemini entity recognition |
| Crunchbase | Yes/No | [Detail] | Medium — entity validation |
| GitHub | Yes/No | [Detail] | Medium — tech brand signal |

Translate for the client: "AI platforms build trust by cross-referencing your brand across multiple authoritative sources. Accurate relevant profiles help readers verify identity; no causal citation increase is established by profile count alone."

Section 6: Citability Analysis

Top 5 Most Citable Pages

For each page:

• URL
• Why it is citable (structure, depth, E-E-A-T signals)
• One specific improvement that would make it even more citable

Top 5 Least Citable Pages

For each page:

• URL
• Why it is unlikely to be cited (thin content, poor structure, missing signals)
• Specific rewrite or restructure recommendation

Business impact framing: "Your most citable pages are your best candidates for appearing in AI-generated answers. Prioritize those pages only after assessing audience need, observed defects, effort and measured outcomes."

Section 7: Technical Health Summary

Present the key technical findings in business-friendly language:

## Technical Health

| Area | Status | Business Impact |
|---|---|---|
| Core Web Vitals | Good/Needs Work/Poor | [Impact on user experience and rankings] |
| Server-Side Rendering | Yes/Partial/No | [Impact on AI crawler visibility] |
| Mobile Optimization | Good/Needs Work/Poor | [Impact on Google's mobile-first indexing] |
| Security (HTTPS + Headers) | Good/Needs Work/Poor | [Impact on trust signals] |
| Page Speed | Fast/Average/Slow | [Impact on user experience and crawl budget] |
| IndexNow Protocol | Implemented/Not | [Impact on Bing/ChatGPT indexing speed] |

Rendering finding: Compare fetched HTML and rendered content for representative URLs and named crawlers. Client-side rendering does not by itself prove an empty page, exclusion or the highest-impact defect. Report observed missing content and rendering limitations.

Section 8: Schema & Structured Data

## Schema & Structured Data

### Current Implementation
| Schema Type | Present | Status | AI Impact |
|---|---|---|---|
| Organization | Yes/No | [Valid/Issues] | Critical — entity recognition |
| Article + Author | Yes/No | [Valid/Issues] | High — E-E-A-T signal |
| sameAs (entity links) | Yes/No | [Count] links | Critical — cross-platform entity graph |
| [Business-specific] | Yes/No | [Valid/Issues] | [Impact] |
| WebSite | Yes/No | [Valid/Issues] | [Applicable use; Google sitelinks

… (full content is in the download package)