Creator ยท geo-seo-claude
Last updated ยท Sep 1, 2026
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions
Sandbox only
Install targets
Codex install prompt
Install the "geo-report" agent skill from https://github.com/zubair-trabzada/geo-seo-claude/tree/main/skills/geo-report. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zubair-trabzada-geo-report","task":"Install geo-report","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zubair-trabzada/geo-seo-claude --skill geo-report
Maintenance
fresh
7d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
10K
91/100 Quality ยท 83/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing ยท Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
10K GitHub stars
Repo activity
10K stars, 1.6K forks
Maintenance
7d since push
License
MIT
Install
npx skills add zubair-trabzada/geo-seo-claude --skill geo-report
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zubair-trabzada/geo-seo-claude --skill geo-reportDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20geo-report%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20geo-report%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zubair-trabzada-geo-report/install
Agent should check
Copy prompt
Task: Use geo-report in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20geo-report%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zubair-trabzada-geo-report/install
Install command: npx skills add zubair-trabzada/geo-seo-claude --skill geo-report
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zubair-trabzada-geo-report/install
LLM text format
/api/skills/zubair-trabzada-geo-report/install?format=text
Find alternatives
/api/skills/search?q=geo-report&limit=3
Agent prompt
Use geo-report for this task. Review https://www.openagentskill.com/api/skills/zubair-trabzada-geo-report/install, then install with: npx skills add zubair-trabzada/geo-seo-claude --skill geo-reportRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zubair-trabzada-geo-report
LLM text
/api/registry/manifest/zubair-trabzada-geo-report?format=text
Install alias
/api/registry/install/zubair-trabzada-geo-report
Recommend
/api/registry/recommend?task=Use%20geo-report%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS10K GitHub stars
Stars/forks activity
PASS10K stars, 1.6K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
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--- name: geo-report description: Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions version: 1.0.0 author: geo-seo-claude tags: [geo, report, client-deliverable, executive-summary, action-plan] allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write ---
# 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 โ 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
| 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) ```
Round to the nearest integer. Cap at 100.
### Score Interpretation for Clients
| Score Range | Label | Client-Facing Description | |---|---|---| | 85-100 | Excellent | Your site is well-positioned for AI search. Focus on maintaining and expanding your advantage. | | 70-84 | Good | Solid foundation with clear opportunities to improve AI visibility. Targeted optimizations will yield significant results. | | 55-69 | Moderate | Your site has gaps in AI readiness that competitors may be exploiting. A structured optimization plan will close these gaps. | | 40-54 | Below Average | Significant barriers to AI search visibility exist. Without action, your brand risks being invisible in AI-generated answers. | | 0-39 | Needs Attention | Critical AI readiness issues require immediate action. Your competitors are likely capturing the AI search traffic your brand should own. |
---
## 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 โ [Label] ```
Then break down by component in a table:
```markdown | 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:
```markdown ## 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:
```markdown ## 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:
```markdown ## Brand Authority
| Platform | Presence | Status | Impact on AI Visibility | |---|---|---|---| | Wikipedia | Yes/No | [Detail] | Very High โ 47.9% of ChatGPT citations are Wikipedia | | Wikidata | Yes/No | [Detail] | High โ machine-readable entity data | | LinkedIn | Yes/No | [Detail] | High โ Bing Copilot and ChatGPT signal | | YouTube | Yes/No | [Detail] | High โ Gemini and Perplexity signal | | Reddit | Yes/No | [Detail] | Very High โ 46.7% of Perplexity citations are Reddit | | Google Knowledge Panel | Yes/No | [Detail] | High โ Gemini entity recognition | | Crunchbase | Yes/No | [Detail] | Medium โ entity validation | | GitHub | Yes/No | [Detail] | Medium โ 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:
```markdown ## 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
```markdown ## Schema & Structured Data
### Current Implementation | Schema Type | Present | Status | AI Impact | |---|---|---|---| | Organization | Yes/No | [Valid/Issues] | Critical โ entity recognition | | Article + Author | Yes/No | [Valid/Issues] | High โ E-E-A-T signal | | sameAs (entity links) | Yes/No | [Count] links | Critical โ cross-platform entity graph | | [Business-specific] | Yes/No | [Valid/Issues] | [Impact] | | WebSite + SearchAction | Yes/No | [Valid/Issues] | Medium โ sitelinks | | BreadcrumbList | Yes/No | [Valid/Issues] | Low-Medium โ 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
```markdown ## llms.txt โ 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."
### Section 10: Prioritized Action Plan
This is the most important section of the report. Organize actions by timeline and impact.
```markdown ## Prioritized Action Plan
### Quick Wins (This Week) *High impact, low effort โ can be implemented immediately*
| # | Action | Impact | Effort | Platforms Affected | |---|---|---|---|---| | 1 | [Specific action] | [High/Med] | [Hours estimate] | [Which AI platforms] | | 2 | [Specific action] | [High/Med] | [Hours estimate] | [Which AI platforms] | ```
**Quick Win criteria**: Can be done in < 4 hours by one person. Examples: - Unblock AI crawlers in robots.txt - Add publication dates to existing content - Add author bylines with credentials - Fix broken meta descriptions - Add sameAs properties to existing Organization schema - Create/claim llms.txt file
```markdown ### Medium-Term Improvements (This Month) *Significant impact, moderate effort โ requires content or technical changes*
| # | Action | Impact | Effort | Platforms Affected | |---|---|---|---|---| | 1 | [Specific action] | [High/Med] | [Days estimate] | [Which AI platforms] | ```
**Medium-Term criteria**: 1-5 days of work. Examples: - Restructure top 10 pages with question-based headings and direct answers - Implement comprehensive Schema.org markup - Create author pages with credentials and sameAs links - Optimize Core Web Vitals (image compression, code splitting) - Register and configure Bing Webmaster Tools - Implement IndexNow protocol
```markdown ### Strategic Initiatives (This Quarter) *Long-term competitive advantage, requires ongoing investment*
| # | Action | Impact | Effort | Platforms Affected | |---|---|---|---|---| | 1 | [Specific action] | [High/Med] | [Weeks estimate] | [Which AI platforms] | ```
**Strategic criteria**: Ongoing effort over weeks/months. Examples: - Build Wikipedia/Wikidata entity presence - Develop active Reddit community engagement strategy - Create YouTube content strategy aligned with search queries - Implement server-side rendering (if currently client-rendered) - Build topical a
Source provenance
Decision snapshot
10,123 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for geo-report, ready for a manual X post.
A practical pick for the next repo task: geo-report: Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findin... 10.1K stars https://www.openagentskill.com/skills/zubair-trabzada-geo-report?ref=x
Listing + install path for geo-report: https://www.openagentskill.com/skills/zubair-trabzada-geo-report?ref=x Install: npx skills add zubair-trabzada/geo-seo-claude --skill geo-report
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Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness