geo-platform-optimizer

geo-platform-optimizer is a skill for Claude Code from techhorizonlabs/thl-open. It costs 34 tokens per session (4,613 once invoked), scanned A, a copy of geo-platform-optimizer, MIT.

A website audit and improvement tool for checking readiness across individual AI search services, including Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot.

In plain words
What is it for?
It scores each platform, identifies gaps, and lists platform-specific actions based on the site's topic and industry.
Why use it?
Different AI search services use different sources and ranking methods, so improving a page for one service may not improve its visibility in another.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Provenance (THL):** tag the score `[scan]` (data fetched this run), `[partial-scan]`, `[heuristic]` (judgement, no data), or `[unmeasured]` — and emit `—` ins.

Part of the thl-open plugin — 17 skills shipped together

Good fit It scores each platform, identifies gaps, and lists platform-specific actions based on the site's topic and industry.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/techhorizonlabs/thl-open
agentmods
npx agentmods add skills/techhorizonlabs/thl-open/geo-platform-optimizer

Made for: Claude Code.

Or install thl-open, the plugin that ships this one along with the rest of its 17 skills.

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/techhorizonlabs/thl-open/geo-platform-optimizer.svg)](https://agentmods.dev/skills/techhorizonlabs/thl-open/geo-platform-optimizer)
Your own site
<a href="https://agentmods.dev/skills/techhorizonlabs/thl-open/geo-platform-optimizer"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/geo-platform-optimizer.svg" alt="Measured on agentmods" 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 4,613 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.
Origin 97% copy Near-identical to another mod 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 $0.04613
Opus 5 $0.00017 $0.02306
Sonnet 5 $0.00007 $0.00923
Haiku 4.5 $0.00003 $0.00461

Measured 7d ago against content hash d74416cb9914, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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

This is a copy

97% identical to geo-platform-optimizer — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/geo-platform-optimizer/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 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 · 278 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. 7d ago First seen · 278 lines · 34 tokens per session scan A d74416cb9914

Subscribe to this mod's changes

geo-platform-optimizer is a skill published in the GitHub repository techhorizonlabs/thl-open (15 stars, last pushed 12d ago), licensed MIT. It adds 34 tokens to every session and 4,613 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to geo-platform-optimizer, differing in 2 lines, and is treated as a copy.

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