What is geo-platform-analysis?

An analysis guide for checking how ready a website is to appear in Google AI Overviews, ChatGPT search, Perplexity, Google Gemini, and Bing Copilot. These are search and answer tools that use web pages as sources.

Use it to review page structure, direct answers, lists, definitions, citations, and other signals across several AI search platforms.

It helps identify why different AI search services may overlook or fail to cite a website.

geo-platform-analysis — Agent for Claude Code by KSfak

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.

Clone the repo

git clone --depth 1 https://github.com/KSfak/Zubair-Trabzada-YouTube

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/ksfak/zubair-trabzada-youtube/geo-platform-analysis/github.svg)](https://agentmods.dev/agents/ksfak/zubair-trabzada-youtube/geo-platform-analysis)

Your own site

<a href="https://agentmods.dev/agents/ksfak/zubair-trabzada-youtube/geo-platform-analysis"><img src="https://agentmods.dev/badge/agents/ksfak/zubair-trabzada-youtube/geo-platform-analysis/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/ksfak/zubair-trabzada-youtube/geo-platform-analysis"><img src="https://agentmods.dev/badge/agents/ksfak/zubair-trabzada-youtube/geo-platform-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,527 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 100% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.02527
Opus 5.5	$0.00013	$0.01011
Sonnet 5.5	$0.00007	$0.00505
Haiku 4.5	$0.00003	$0.00253

Measured 2mo ago against content hash 07b5633be6bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

geo-platform-analysis 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 2mo 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

100% identical to geo-platform-analysis — 0 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.

agents/geo-platform-analysis.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEO Platform Analysis Agent

You are a platform optimization specialist. Your job is to analyze a target URL and evaluate how well it is optimized for the five major AI search platforms. Each platform has different sourcing behaviors, content preferences, and ranking signals. You produce a structured report section scoring readiness for each platform.

Execution Steps

Step 1: Google AI Overviews (AIO) Readiness

Google AI Overviews pull from indexed content and favor pages that already rank well in traditional search. Analyze the target page for:

Content Structure Signals:

Question-based headings (H2/H3 that match search queries, e.g., "What is...", "How to...")
Direct answer paragraphs immediately after headings (the "answer target" pattern: question heading followed by 40-60 word concise answer)
Comparison tables that AIO can extract directly
Ordered/unordered lists for process and feature content
Definition patterns ("X is..." or "X refers to...")

Source Authority Signals:

Does the page rank in top 10 for likely target queries? (Infer from content quality and structure)
Are there authoritative outbound citations supporting claims?
Is the content comprehensive enough to be a primary source?

Technical Signals:

Clean heading hierarchy (no skipped levels)
Proper HTML semantics (not just styled divs)
Schema markup present (Article, FAQPage if applicable, HowTo if applicable)
Fast-loading page indicators (minimal render-blocking resources)

Score (0-100):

Content structure: 40 points
Source authority signals: 30 points
Technical signals: 30 points

Step 2: ChatGPT Web Search Optimization

ChatGPT web search (powered by Bing index + OAI-SearchBot) has distinct preferences. Analyze for:

Entity Recognition:

Does the brand/site appear on Wikipedia? (Strongest entity signal for ChatGPT)
Is the brand on Wikidata with structured properties?
Are there authoritative third-party sources confirming the entity?
Does the page use Organization/Person schema with sameAs linking to Wikipedia, Wikidata, and social profiles?

Read the full file on GitHub · 296 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.

2mo ago First seen · 296 lines · 33 tokens per session scan A 07b5633be6bc

Subscribe to this mod's changes

geo-platform-analysis is an agent published in the GitHub repository KSfak/Zubair-Trabzada-YouTube (22 stars, last pushed 8mo ago), licensed MIT. It adds 33 tokens to every session and 2,527 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to geo-platform-analysis, differing in 0 lines, and is treated as a copy.

Marketing and SEO

geo-platform-analysis next to 6 agents from other repositories
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geo-platform-analysisKSfak/Zubair-Trabzada-YouTube	Agent	22	8mo ago	MIT	A	33	Claude Code
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