geo-platform-optimizer

geo-platform-optimizer is a skill for Claude Code from zubair-trabzada/geo-seo-claude. It costs 34 tokens per session (4,513 once invoked), scanned A, original, MIT.

A review and improvement guide for making websites easier to find in AI-powered search features such as Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot.

In plain words
What is it for?
It helps audit a website for each supported AI search system, score its gaps, and produce platform-specific actions for improving visibility.
Why use it?
Different AI search systems choose and describe sources differently, so improving a page for one system may not help it appear in another.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit It helps audit a website for each supported AI search system, score its gaps, and produce platform-specific actions for improving visibility.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer
About the project

geo-seo-claude is a Claude Code skill for improving how websites appear in AI-powered search while retaining traditional search-engine optimization. It is used by marketers and website practitioners for analysis such as citation scoring, crawler review, authority assessment, structured data, and platform-specific recommendations. The catalogue entries are skills and agents that carry out this optimization workflow.

zubair-trabzada/geo-seo-claude · 10,540 stars · on GitHub · skool.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zubair-trabzada/geo-seo-claude --skill geo-platform-optimizer
Clone the repo
git clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claude

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for geo-platform-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer/github.svg)](https://agentmods.dev/skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer)
Your own site
<a href="https://agentmods.dev/skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for geo-platform-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/geo-platform-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 27 Mar 2026
  • Snyk warn 27 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.04513
Opus 5 $0.00017 $0.02256
Sonnet 5 $0.00007 $0.00903
Haiku 4.5 $0.00003 $0.00451

Measured 13d ago against content hash 78220f7756e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

geo-platform-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

skills/geo-platform-optimizer/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 276 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 276 lines · 34 tokens per session scan A 78220f7756e1

Subscribe to this mod's changes

geo-platform-optimizer is a skill published in the GitHub repository zubair-trabzada/geo-seo-claude (10,540 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 4,513 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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