GEO Client Report

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

GEO Readiness Score Calculation

Component Weights

Score Formula

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

Round to the nearest integer. Cap at 100.

Score Interpretation for Clients

Report Template

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

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 sentence on the business impact ("Addressing these recommendations could increase AI-driven traffic by an estimated XX%, representing approximately $X,XXX/month based on current traffic patterns")

Tone: Confident, direct, professional. No jargon. No hedging. 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 reflect how likely your content is to be cited by each AI search platform. A score below 50 indicates significant barriers to citation on that platform."

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] |
| GPTBot | ChatGPT / OpenAI | Allowed/Blocked | High | [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: "Blocking AI crawlers is like closing your store during business hours. If a crawler cannot access your site, the AI platform it powers cannot cite your content. We recommend allowing all major AI crawlers unless you have a specific data licensing concern."

Section 5: Brand Authority Analysis

Present entity presence across platforms:

## Brand Authority

| Platform | Presence | Status | Impact on AI Visibility |
|---|---|---|---|
| Wikipedia | Yes/No | [Detail] | Very High — 47.9% of ChatGPT citations are Wikipedia |
| 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] | Very High — 46.7% of Perplexity citations are Reddit |
| 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. Each platform where your brand has an accurate, consistent presence increases the likelihood of being cited in AI answers."

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. Improving the 5 least citable pages represents the highest-ROI content investment you can make for AI visibility."

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] |

Critical finding callout: If SSR is missing or partial, highlight this prominently: "Your site uses client-side rendering, which means AI crawlers see an empty page when they visit. This is the single most impactful technical issue for AI search visibility. Until this is resolved, most AI platforms cannot cite your content."

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 + SearchAction | Yes/No | [Valid/Issues] | Medium — sitelinks |
| BreadcrumbList | Yes/No | [Valid/Issues] | Low-Medium — navigation context |

If schemas are missing, note: "Ready-to-use structured data code has been prepared and is included in the technical appendix. Your development team can add this to your site with minimal effort."

Section 9: llms.txt Status

## llms.txt — AI Content Guide

| File | Status | Recommendation |
|---|---|---|
| /llms.txt | Present/Missing | [Action] |
| /llms-full.txt | Present/Missing | [Action] |

Translate for the client: "llms.txt is an emerging standard (similar to robots.txt) that tells AI systems what your site is about and which pages are most important. While not universally adopted yet, implementing it positions your brand ahead of competitors and provides direct guidance to AI platforms."