GEO Platform Optimizer: Tune for Each AI Engine Separately
Five separate audits for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot, each with its own checklist and 0-100 rubric
Only 11% of domains get cited by both ChatGPT and Google AI Overviews for the same query. ChatGPT runs on Bing and leans on Wikipedia. Perplexity pulls 46.7% of its citations from Reddit. Optimizing once and hoping it carries across all five engines is how sites end up invisible on four of them.
Who it's for: GEO and SEO agencies, growth marketers, brand and comms leads, SaaS marketing teams, local business owners, anyone tracking AI referral traffic
Example
"Audit acme.com across all five AI search platforms" → A GEO-PLATFORM-OPTIMIZATION.md scoring Google AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot out of 100 each, with the specific gaps per engine (no Wikidata entity, no IndexNow, no Reddit presence) and a plan split into this week, this month, and this quarter
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add geo-platform-optimizer# GEO Platform Optimizer
Audit and optimize a site for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually.
## Core Insight
Only **11% of domains** are cited by both ChatGPT and Google AI Overviews for the same query. Each AI search platform uses a different index, ranking logic, and set of source preferences. A page optimized for Google AI Overviews can be invisible to ChatGPT, and the reverse. Platform-specific optimization is the foundation of a serious GEO strategy, not an add-on.
## How to Run an Audit
1. Collect the target URL and the site's primary topic or industry.
2. Run each platform checklist below against the site.Get new playbooks like this one
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What This Does
Runs five independent audits, one per AI search engine, because each uses a different index, ranking logic, and set of source preferences. Each platform gets a checklist of ten optimization items and its own 0-100 rubric, so a site can score 78 for Google AI Overviews and 22 for Perplexity and you can see exactly why.
This is the widest of the three GEO content playbooks. It works at the site and entity level: Wikipedia presence, Reddit participation, IndexNow, Knowledge Panels, YouTube. geo-citability works one level down, scoring individual passages on a single page for extractability. geo-content sits between them, scoring content on E-E-A-T.
From Zubair Trabzada's geo-seo-claude toolkit, packaged as a single CLAUDE.md.
Quick Start
Step 1: Create a Project Folder
mkdir -p ~/Documents/GEOPlatforms
Step 2: Download the Template
Click Download above, then:
mv ~/Downloads/CLAUDE.md ~/Documents/GEOPlatforms/
Step 3: Start Working
cd ~/Documents/GEOPlatforms
claude
Give Claude a URL and your industry: "Audit https://example.com for AI platform readiness. We sell project management software to agencies." It runs all five checklists and writes GEO-PLATFORM-OPTIMIZATION.md.
How the Five Engines Differ
| Engine | Index | Top citation source | What wins |
|---|---|---|---|
| Google AI Overviews | Top-10 organic results | Question headings, direct answers, tables | |
| ChatGPT Search | Bing | Wikipedia (47.9%) | Entity presence, comprehensive 2,000+ word pages |
| Perplexity | Own crawler + APIs | Reddit (46.7%) | Community validation, original research, freshness |
| Gemini | Google + Google properties | YouTube | Video content, Knowledge Graph, Schema.org |
| Bing Copilot | Bing | Microsoft ecosystem | IndexNow, LinkedIn, GitHub, fast load |
Two numbers explain most of the strategy. 92% of AI Overviews citations come from pages already in the top 10, so classic SEO is the gate there. Perplexity cites 5-15 sources per answer instead of 2-4, which is why mid-authority sites break in through Perplexity first.
Priority Order Per Platform
The template ends with a cross-platform table that tells you where to start on each:
| Priority | Google AIO | ChatGPT | Perplexity | Gemini | Copilot |
|---|---|---|---|---|---|
| #1 | Top-10 ranking | Wikipedia | Reddit presence | YouTube | IndexNow |
| #2 | Q&A structure | Entity graph | Original research | Knowledge Panel | Bing Webmaster Tools |
| #3 | Tables and lists | Bing SEO | Freshness | Schema.org | |
| #4 | Featured snippets | Community forums | Google Business Profile | Meta descriptions |
Universal Wins
Seven actions move the score on every platform at once, and the report separates them out as quick wins:
- Wikipedia and Wikidata entity presence
- A YouTube channel with topic-relevant content
- Comprehensive, well-structured content with clear headings
- Schema.org markup, especially Organization with sameAs
- Fast page load and clean HTML
- Author pages with credentials and sameAs links
- Regular content updates with visible dates
Entity presence is the highest-value item on the list. It is worth 20 points on the ChatGPT rubric alone, and it feeds Gemini's Knowledge Graph and Copilot's entity grounding at the same time.
Examples of What Gets Flagged
- No Wikidata item. Free to fix, takes an afternoon, worth 10 points on ChatGPT and contributes to Gemini and Perplexity.
- IndexNow not implemented. Worth 15 points on Copilot. Publish a key file at
/.well-known/indexnow-key.txtand ping the API on publish. - YouTube videos without chapters. Gemini can only reference specific segments when timestamps exist. Chapters are the difference between 10 and 20 points.
- No FAQ section. 10 points on Google AI Overviews. FAQPage rich results have been restricted to government and health sites since August 2023, but the content pattern still drives extraction.
- Zero Reddit presence. 20 points on Perplexity, the single largest line item on any of the five rubrics.
Tips
- Pick two engines, not five. Score all five, then work the two where your audience actually searches. A B2B SaaS site gets more from ChatGPT and Perplexity than from Gemini's local and multi-modal strengths.
- Do the universal seven first. They lift multiple scores at once, and the report's quick wins section is built from them.
- Reddit is a quarter-long project, not a task. The rubric rewards authentic participation, and promotional posting scores zero while damaging the brand.
- Check Bing's index separately with
site:yourdomain.com. It routinely differs from Google's, and that gap silently costs you both ChatGPT and Copilot. - Once a platform scores above 70, switch from this playbook to geo-citability and fix the passages on the pages that engine is now reaching.
Limitations
- Several criteria need manual checking or third-party data. Organic ranking position, backlink profiles, and social engagement cannot be verified from a page fetch alone.
- Citation share figures (Wikipedia at 47.9% for ChatGPT, Reddit at 46.7% for Perplexity) come from 2025-2026 studies. Platform behavior shifts, so re-check the underlying numbers before basing a quarter of work on them.
- Scores are judgment-based and directional. Use the gap list, not the number.
- Some criteria are conditional. Google Merchant Center, GitHub presence, and Bing Places score N/A when they do not apply, which shifts the effective denominator.
- The full geo-seo-claude suite runs this alongside 14 other skills with parallel subagents and Python tooling. This template is the platform audit standing alone.