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Agent skill

GEO Platform Optimizer

by zubair-trabzada in zubair-trabzada/geo-seo-claude

Audits a site for AI search visibility one platform at a time, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini and Bing Copilot and listing gaps to fix.

MITAuto-check: notesMarketing & SEO

Install GEO Platform Optimizer

skills CLI
$ npx skills add zubair-trabzada/geo-seo-claude --skill geo-platform-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zubair-trabzada/geo-seo-claude geo-platform-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-platform-optimizer .claude/skills/geo-platform-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
geo-platform-optimizer
GitHub stars
11k
Used in
2 other repos
Token cost
~4.7k tokens
SKILL.md length
2,455 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Audits a site for AI search visibility one platform at a time, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini and Bing Copilot and listing gaps to fix.

  • Works in 4 steps: Collect the target URL and the site's… → Run each platform checklist below… → Score each platform on the 0-100 rubric → …
  • Checking how visible a site is to Google AI Overviews and ChatGPT
  • SKILL.md covers Core Insight, How to Use This Skill, Platform 1: Google AI… and Platform 2: ChatGPT Web Search, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill starts from the idea that each AI search platform picks its sources differently, so a page tuned for Google AI Overviews can still be missed by ChatGPT. You give the agent a target URL and the site's main topic or industry. It runs a checklist for each platform, scores each one on a 0-100 rubric and writes a GEO-PLATFORM-OPTIMIZATION.md file with per-platform scores, gaps and action items.

The Google AI Overviews checklist asks for question-style H2 and H3 headings that mirror People Also Ask phrasing, a clear one or two sentence answer right under each heading, tables for comparisons and pricing, ordered and unordered lists for steps and features, and an FAQ section with real questions. Pages with clean structure and concise, factual answers are treated as the easiest to cite. The skill can read files, search the codebase, fetch web pages and write the report.

When your agent uses it

  • Checking how visible a site is to Google AI Overviews and ChatGPT
  • Producing per-platform action items for AI search optimization
  • Rewriting headings and answer paragraphs so pages are easier for AI search to cite
  • Comparing a site's readiness across Perplexity, Gemini and Bing Copilot

Example prompts

  • “Audit https://example.com for AI search visibility on each platform and write the report.”
  • “Score my SaaS pricing page for Google AI Overviews and tell me what to change.”
  • “Which of ChatGPT, Perplexity and Gemini is my blog least ready for? Give me action items.”

Requirements

  • A target URL to audit
  • Network access to fetch the pages
  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Bash, WebFetch, Write

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Collect the target URL and the site's primary topic/industry
  2. Run each platform checklist below against the site
  3. Score each platform on the 0-100 rubric
  4. Generate GEO-PLATFORM-OPTIMIZATION.md with per-platform scores, gaps, and action items

What it can do on your machine

Read from SKILL.md and the folder at commit 989cae0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Bash
    • WebFetch
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

GEO Platform Optimizer loads about 4.7k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 2,455 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zubair-trabzada/geo-seo-claude at commit 989cae0, republished under its MIT licence (© zubair-trabzada). 2,455 words, ~4,744 tokens.

Download SKILL.mdSave it as .claude/skills/geo-platform-optimizer/SKILL.md (or your agent's skills folder).
name
geo-platform-optimizer
description
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
allowed-tools
Read, Grep, Glob, Bash, WebFetch, Write
version
1.0.0
author
geo-seo-claude
tags
geo, ai-search, platform-optimization, chatgpt, perplexity, gemini, aio

GEO Platform Optimizer

Core Insight

Only 11% of domains are cited by BOTH ChatGPT and Google AI Overviews for the same query. Each AI search platform uses different indexes, ranking logic, and source preferences. A page optimized for Google AI Overviews may be invisible to ChatGPT, and vice versa. Platform-specific optimization is not optional — it is the foundation of any serious GEO strategy.

How to Use This Skill

  1. Collect the target URL and the site's primary topic/industry
  2. Run each platform checklist below against the site
  3. Score each platform on the 0-100 rubric
  4. Generate GEO-PLATFORM-OPTIMIZATION.md with per-platform scores, gaps, and action items

Platform 1: Google AI Overviews (AIO)

How AIO Selects Sources
  • 92% of AIO citations come from pages already ranking in the top 10 organic results — traditional SEO is the gateway
  • However, 47% of citations come from pages ranking below position 5 — AIO has its own selection logic favoring clarity and directness over raw rank
  • AIO strongly favors pages with clean structure, direct answers, and scannable formatting
  • Featured snippet optimization has ~70% overlap with AIO optimization
  • AIO prefers concise, factual, unambiguous answers — hedging and filler reduce citation probability
Optimization Checklist
  1. Question-Based Headings: Use H2/H3 headings phrased as questions matching real user queries. Check Google's "People Also Ask" for the target topic and mirror those exact phrasings.
  2. Direct Answer in First Paragraph: After each question heading, provide a clear 1-2 sentence answer immediately. Then expand with supporting detail. The first sentence should be a standalone citation candidate.
  3. Tables and Structured Comparisons: AIO heavily cites tables. Convert any comparison, pricing, specification, or feature data into HTML tables. Use clear column headers.
  4. Ordered and Unordered Lists: Step-by-step processes should use ordered lists. Feature lists should use unordered lists. AIO extracts these directly.
  5. FAQ Sections: Add a dedicated FAQ section with 5-10 real questions. Use proper H3 headings for each question. While FAQPage schema rich results are restricted to govt/health sites since Aug 2023, the content pattern still helps AIO extraction.
  6. Definitions and Glossary Boxes: For any industry-specific term, provide a clear definition. Format: "[Term] is [concise definition]." AIO frequently cites definitions.
  7. Statistics with Sources: Include specific numbers with attribution. "According to [Source], [statistic]." AIO prefers citeable, specific claims over vague assertions.
  8. Publication Date: Include a visible publication date and last-updated date. AIO deprioritizes undated content for time-sensitive queries.
  9. Author Byline: Display author name with credentials. Link to an author page with bio, credentials, and sameAs links.
  10. Page Depth: Keep target pages within 3 clicks of homepage. AIO rarely cites deep, orphaned content.
Scoring Rubric (0-100)
CriterionPointsHow to Score
Ranks in top 10 for target queries2020 if yes, 10 if top 20, 0 if beyond
Question-based headings present102 points per question heading, max 10
Direct answers after headings153 points per direct answer, max 15
Tables present for comparison data1010 if tables used appropriately, 5 if partial, 0 if absent
Lists for processes/features1010 if present, 5 if partial
FAQ section with 5+ questions1010 if 5+, 5 if 1-4, 0 if none
Statistics with citations102 points per cited stat, max 10
Publication/updated date visible55 if both dates, 3 if one, 0 if none
Author byline with credentials55 if full byline, 3 if name only, 0 if none
Clean URL + heading hierarchy55 if H1>H2>H3 clean, 3 if minor issues, 0 if broken
How ChatGPT Selects Sources
  • Uses Bing's search index as its foundation (not Google)
  • Top citation sources by domain share: Wikipedia (47.9%), Reddit (11.3%), YouTube, major news outlets
  • ChatGPT heavily weights entity recognition — if your brand exists as a structured entity (Wikipedia, Wikidata, Crunchbase), it is far more likely to be cited
  • Prefers authoritative, well-established sources over new or niche sites
  • Longer, more comprehensive articles get cited more often than short pieces
  • ChatGPT tends to cite the most canonical source for a claim rather than the original
Optimization Checklist
  1. Wikipedia Presence: Check if the brand/person/product has a Wikipedia article. If not, assess notability criteria. If notable, create a draft. If an article exists, ensure it is accurate and current.
  2. Wikidata Entity: Verify the entity exists on Wikidata (wikidata.org). If not, create a Wikidata item with key properties: instance of, official website, social media links, founding date, headquarters location.
  3. Bing Webmaster Tools: Verify the site is registered in Bing Webmaster Tools. Submit sitemap. Check for crawl errors.
  4. Bing Index Coverage: Use site:domain.com on Bing to verify key pages are indexed. Bing may have different indexed pages than Google.
  5. Reddit Authority: Check for brand mentions on Reddit. Identify relevant subreddits. Assess whether the brand participates authentically in discussions.
  6. YouTube Presence: Verify YouTube channel exists with relevant content. Video descriptions should contain full URLs and entity information.
  7. Authoritative Backlinks: ChatGPT/Bing weight .edu, .gov, and major publication backlinks heavily. Audit backlink profile for these sources.
  8. Entity Consistency: Brand name, founding date, leadership, and key facts must be consistent across Wikipedia, Crunchbase, LinkedIn, and the official website.
  9. Comprehensive Content: Pages targeting ChatGPT citation should be 2000+ words with thorough topic coverage. ChatGPT prefers single authoritative sources over combining multiple thin pages.
  10. Clear Attribution: Include "About" sections, company descriptions, and founding stories. ChatGPT uses these for entity grounding.
Scoring Rubric (0-100)
CriterionPointsHow to Score
Wikipedia article exists and is accurate2020 if exists, 10 if stub, 0 if none
Wikidata entity with 5+ properties1010 if complete, 5 if basic, 0 if none
Bing index coverage of key pages1010 if full, 5 if partial, 0 if poor
Reddit brand mentions (positive)1010 if active discussions, 5 if mentions, 0 if none
YouTube channel with relevant content1010 if active, 5 if present but sparse, 0 if none
Authoritative backlinks (.edu, .gov, press)153 points per authoritative backlink category, max 15
Entity consistency across platforms1010 if consistent, 5 if minor discrepancies, 0 if major
Content comprehensiveness (2000+ words)1010 if thorough, 5 if adequate, 0 if thin
Bing Webmaster Tools configured55 if verified, 0 if not

Platform 3: Perplexity AI

How Perplexity Selects Sources
  • Top citation sources: Reddit (46.7%), Wikipedia, YouTube, major publications
  • Perplexity places the heaviest emphasis on community validation of all AI search platforms
  • Strongly favors discussion threads where claims are debated, validated, or expanded by multiple participants
  • Prefers recent content — publication date is a strong ranking signal
  • Cites multiple sources per answer (typically 5-15), so there is more opportunity for mid-authority sites to appear
  • Uses its own crawling infrastructure in addition to search APIs
Optimization Checklist
  1. Active Reddit Presence: The brand or its representatives should participate authentically in relevant subreddit discussions. Not promotional — helpful, specific, and community-oriented.
  2. Reddit AMAs and Threads: Encourage or participate in AMAs, detailed discussion threads, and community Q&As. Perplexity treats these as high-signal content.
  3. Forum and Community Presence: Beyond Reddit, check Hacker News, Stack Overflow, Quora, and niche industry forums. Perplexity indexes these heavily.
  4. Discussion-Friendly Content: Publish content that invites discussion — opinion pieces, research findings, contrarian takes, original data. Content that gets shared and debated in communities ranks higher.
  5. Freshness Signals: Publish content with clear dates. Update content regularly. Perplexity deprioritizes stale content more aggressively than other platforms.
  6. Multiple Source Validation: Claims in your content should be supported by other sources. Perplexity cross-references and prefers claims it can verify from multiple origins.
  7. YouTube Video Content: Create video content that Perplexity can reference. Ensure video titles, descriptions, and transcripts contain target information.
  8. Direct, Quotable Passages: Write paragraphs that can stand alone as citations. Each paragraph should make one clear point with supporting evidence.
  9. Original Data and Research: Publish original surveys, benchmarks, case studies, or datasets. Perplexity heavily favors primary sources.
  10. Perplexity Pages: Check if Perplexity has created a "Page" about your topic/brand. These are curated summaries that influence future citations.
Scoring Rubric (0-100)
CriterionPointsHow to Score
Active Reddit presence in relevant subreddits2020 if active contributor, 10 if mentioned, 0 if absent
Forum/community mentions (HN, SO, Quora)1010 if multiple platforms, 5 if one, 0 if none
Content freshness (updated within 6 months)1010 if recent, 5 if within year, 0 if older
Original research/data published1515 if original research, 10 if case studies, 5 if some data, 0 if none
YouTube content with transcripts1010 if active channel, 5 if some videos, 0 if none
Quotable, standalone paragraphs102 points per well-structured quotable paragraph, max 10
Multi-source claim validation1010 if claims well-sourced, 5 if some sourcing, 0 if none
Discussion-generating content1010 if content gets shared/discussed, 5 if some engagement, 0 if none
Wikipedia/Wikidata presence55 if present, 0 if absent
Show full SKILL.md (973 more words)Show less

Platform 4: Google Gemini

How Gemini Selects Sources
  • Uses Google's search index plus strong weighting toward Google-owned properties
  • YouTube content is weighted significantly more heavily than in standard Google Search
  • Google Business Profile data is directly accessible to Gemini
  • Gemini uses Google's Knowledge Graph directly — entity presence in Knowledge Graph is a major advantage
  • Structured data (Schema.org) is consumed directly by Gemini for entity understanding
  • Gemini multi-modal: can reference images, videos, and text together
Optimization Checklist
  1. Google Knowledge Panel: Check if the brand has a Google Knowledge Panel. If not, claim it through Google Business Profile or structured data. Ensure all information is accurate.
  2. Google Business Profile: Complete and optimize GBP with all fields: hours, services, photos, posts, Q&A. Gemini pulls directly from GBP for local queries.
  3. YouTube Strategy: Create YouTube content for every key topic. Optimize titles, descriptions, timestamps, and closed captions. Gemini cites YouTube more than any other AI platform.
  4. YouTube Chapters and Timestamps: Use chapters (timestamps in description) so Gemini can reference specific segments of videos.
  5. Google Merchant Center: For e-commerce, ensure products are in Google Merchant Center. Gemini references product data directly.
  6. Structured Data (Schema.org): Implement comprehensive Schema.org markup. Gemini uses this for entity understanding more aggressively than other platforms.
  7. Google Sites Ecosystem: Ensure presence across Google ecosystem: Google Scholar (for research), Google News (for publishers), Google Maps (for local).
  8. Image Optimization: Gemini is multi-modal. Use descriptive alt text, structured image filenames, and high-quality images. Include relevant images with every piece of content.
  9. Google E-E-A-T Signals: All standard Google E-E-A-T signals apply with extra weight. Author pages, about pages, editorial policies, and expertise demonstrations.
  10. Chrome Web Store / Google Workspace Marketplace: For software companies, presence on Google platforms adds entity signals.
Scoring Rubric (0-100)
CriterionPointsHow to Score
Google Knowledge Panel exists1515 if complete, 10 if partial, 0 if none
Google Business Profile complete1010 if fully optimized, 5 if basic, 0 if none
YouTube channel with topic-relevant content2020 if active with chapters, 10 if present, 0 if none
Schema.org structured data implemented1515 if comprehensive, 10 if basic, 5 if minimal, 0 if none
Google ecosystem presence (Scholar, News, Maps)1010 if 3+, 5 if 1-2, 0 if none
Image optimization (alt text, filenames)1010 if all images optimized, 5 if partial, 0 if none
E-E-A-T signals (author pages, about, editorial)1010 if strong, 5 if partial, 0 if weak
Google Merchant Center (if e-commerce)55 if applicable and active, N/A otherwise
Multi-modal content (text + images + video)55 if rich multi-modal, 3 if some, 0 if text-only

Platform 5: Bing Copilot

How Copilot Selects Sources
  • Uses Bing's search index (shared infrastructure with ChatGPT but different ranking/selection)
  • Supports IndexNow protocol for near-instant indexing of new and updated content
  • Copilot tends to cite fewer sources per answer (typically 3-5) but gives more prominent attribution
  • Microsoft ecosystem integration: LinkedIn, GitHub, Microsoft Learn content is weighted
  • Copilot prefers pages with clear, structured markup and fast load times
Optimization Checklist
  1. Bing Webmaster Tools: Register and verify site. Submit XML sitemap. Review and fix any crawl issues.
  2. IndexNow Implementation: Implement the IndexNow protocol to notify Bing of content changes in real-time. Submit a key file at /.well-known/indexnow-key.txt and ping the IndexNow API on content publish/update.
  3. LinkedIn Company Page: Ensure the company LinkedIn page is complete with accurate description, employee connections, and regular posts. Copilot indexes LinkedIn content.
  4. GitHub Presence: For tech companies, maintain an active GitHub presence. Copilot references GitHub repos, documentation, and README files.
  5. Microsoft Learn / Documentation: If relevant, contribute to Microsoft Learn or ensure documentation is compatible with Microsoft's documentation standards.
  6. Bing Places for Business: Equivalent to Google Business Profile. Complete all fields for local search visibility in Copilot.
  7. Clear Meta Descriptions: Bing/Copilot weights meta descriptions more heavily than Google does. Write compelling, keyword-rich meta descriptions for every page.
  8. Social Signals: Bing has historically weighted social signals (shares, likes, engagement) more than Google. Maintain active social media presence.
  9. Exact-Match Keywords: Bing's algorithm is more literal about keyword matching than Google. Include exact target phrases in titles, headings, and body content.
  10. Fast Page Load: Copilot deprioritizes slow pages. Target sub-2-second load time. Optimize images, enable compression, minimize render-blocking resources.
Scoring Rubric (0-100)
CriterionPointsHow to Score
Bing Webmaster Tools verified + sitemap1515 if verified, 5 if partial, 0 if not
IndexNow protocol implemented1515 if active, 0 if not
Bing index coverage of key pages1010 if full, 5 if partial, 0 if poor
LinkedIn company page (complete)1010 if complete, 5 if basic, 0 if none
GitHub presence (if applicable)55 if active, N/A if not applicable
Meta descriptions optimized1010 if all key pages, 5 if partial, 0 if missing
Social media engagement signals1010 if active engagement, 5 if present, 0 if none
Exact-match keywords in titles/headings1010 if well-optimized, 5 if partial, 0 if not
Page load speed < 2 seconds1010 if < 2s, 5 if < 4s, 0 if > 4s
Bing Places configured (if local)55 if complete, N/A if not local

Cross-Platform Summary

Universal Optimization Actions (help ALL platforms)
  1. Wikipedia/Wikidata entity presence
  2. YouTube channel with relevant content
  3. Comprehensive, well-structured content with clear headings
  4. Schema.org structured data (especially Organization + sameAs)
  5. Fast page load and clean HTML
  6. Author pages with credentials and sameAs links
  7. Regular content updates with visible dates
Platform-Specific Priorities
PriorityGoogle AIOChatGPTPerplexityGeminiCopilot
#1Top-10 rankingWikipediaReddit presenceYouTubeIndexNow
#2Q&A structureEntity graphOriginal researchKnowledge PanelBing WMT
#3Tables/listsBing SEOFreshnessSchema.orgLinkedIn
#4Featured snippetsRedditCommunity forumsGBPMeta descriptions

Output Format

Generate GEO-PLATFORM-OPTIMIZATION.md with the following structure:

markdown
# GEO Platform Optimization Report — [Domain]
Date: [Date]

## Overall Platform Readiness
- Combined GEO Score: XX/100 (average of all platform scores)

## Platform Scores
| Platform | Score | Status |
|---|---|---|
| Google AI Overviews | XX/100 | [Strong/Moderate/Weak] |
| ChatGPT Web Search | XX/100 | [Strong/Moderate/Weak] |
| Perplexity AI | XX/100 | [Strong/Moderate/Weak] |
| Google Gemini | XX/100 | [Strong/Moderate/Weak] |
| Bing Copilot | XX/100 | [Strong/Moderate/Weak] |

Status thresholds: Strong = 70+, Moderate = 40-69, Weak = 0-39

## Platform Details
[Per-platform breakdown with score, gaps found, specific actions]

## Prioritized Action Plan
### Quick Wins (this week)
[Actions that improve multiple platform scores with minimal effort]

### Medium-Term (this month)
[Actions requiring content creation or technical changes]

### Strategic (this quarter)
[Actions requiring entity building, community development, or platform presence]

© zubair-trabzada, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/geo-platform-optimizer of zubair-trabzada/geo-seo-claude.

Open the folder on GitHubat commit 989cae0

Used in 2 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in zubair-trabzada/geo-seo-claude, which our catalogue first saw on October 7, 2026.

Compare with similar skills

GEO Platform Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Orangeo AI Visibility SkillOranAi-Ltd/orangeo-ai-visibility-skill140—~1.5kAutomated safety check: PassMIT
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Works with

Categories

Questions about GEO Platform Optimizer

What does GEO Platform Optimizer do?

Audits a site for AI search visibility one platform at a time, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini and Bing Copilot and listing gaps to fix. The skill starts from the idea that each AI search platform picks its sources differently, so a page tuned for Google AI Overviews can still be missed by ChatGPT. You give the agent a target URL and the site's main topic or industry.

When should I use GEO Platform Optimizer?

GEO Platform Optimizer fits situations like: checking how visible a site is to Google AI Overviews and ChatGPT; producing per-platform action items for AI search optimization; rewriting headings and answer paragraphs so pages are easier for AI search to cite; comparing a site's readiness across Perplexity, Gemini and Bing Copilot.

How do I install GEO Platform Optimizer in Claude Code?

Run `npx skills add zubair-trabzada/geo-seo-claude --skill geo-platform-optimizer -a claude-code`. Or copy the skill folder (skills/geo-platform-optimizer in zubair-trabzada/geo-seo-claude) into .claude/skills/geo-platform-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install GEO Platform Optimizer in Codex?

Run `npx skills add zubair-trabzada/geo-seo-claude --skill geo-platform-optimizer -a codex`. Or copy the skill folder (skills/geo-platform-optimizer in zubair-trabzada/geo-seo-claude) into .agents/skills/geo-platform-optimizer in your project. Codex loads it when a task matches its description.

Can I use GEO Platform Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zubair-trabzada/geo-seo-claude --skill geo-platform-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-platform-optimizer, .gemini/skills/geo-platform-optimizer, .github/skills/geo-platform-optimizer and .opencode/skills/geo-platform-optimizer in your project.

What does GEO Platform Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: GEO Platform Optimizer is instructions for the agent only. Our summary lists: A target URL to audit; Network access to fetch the pages. Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash, WebFetch, Write.

Does GEO Platform Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is GEO Platform Optimizer safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does GEO Platform Optimizer use?

GEO Platform Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does GEO Platform Optimizer use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to GEO Platform Optimizer?

Skills that share tags, products or a category with GEO Platform Optimizer: AI Discoverability Audit (BrianRWagner/ai-marketing-claude-code-skills, 441 stars), Orangeo AI Visibility Skill (OranAi-Ltd/orangeo-ai-visibility-skill, 140 stars), SEO Audit (shadcn-labs/agentcn, 490 stars) and Global SEO Growth (minhnv0807/ai-business-skills, 609 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GEO Platform Optimizer?

zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/geo-seo-claude, which has 10,982 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 10, 2026.

Source: zubair-trabzada/geo-seo-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.