codyschneiderx

Live SEO + AI Search (AEO) dashboard template powered by the Graphed MCP. Hand to a coding agent, point at your workspace.

19
4
85% credibility
Found May 17, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

This is a ready-made dashboard template for tracking SEO performance and AI search trends. It analyzes three data sources — Google Analytics, Google Search Console, and Google Ads — to show you: how much traffic comes from AI engines (ChatGPT, Perplexity, Gemini, Claude), which pages AI engines cite most, where you're wasting ad budget on searches where you already rank well organically, and standard SEO metrics like sessions, page engagement, and device breakdown. The template is designed to be set up using an AI coding assistant, which connects to your data and builds a live dashboard with three tabs and sixteen different charts and tables.

How It Works

1
💡 You discover you need an AI search dashboard

Maybe you noticed ChatGPT and Perplexity sending visitors to your site, or you're wondering if your ad budget is being wasted on searches where you already rank well.

2
📊 You find a ready-made dashboard template

This project gives you a complete dashboard with three tabs: AI Search Performance, Ad Budget Insights, and Organic Overview — plus 16 different charts and tables.

3
🔌 You connect your data sources

Using a simple online setup, you connect your Google Analytics, Search Console, and Google Ads accounts so the dashboard can read your data.

4
🤖 An AI assistant builds your dashboard

You hand the template to an AI coding assistant and say 'build my dashboard.' The AI connects to your data, runs the analysis queries, and assembles everything.

5
You explore your insights
🤖
AI Search tab

See how much traffic comes from AI engines like ChatGPT, Perplexity, and Gemini — and which pages they cite most

💰
Ad Budget tab

Find paid search terms where you already rank in the top 10 organically — and stop wasting money on them

📈
Organic Overview tab

Track your traditional search performance: sessions, top pages, devices, browsers, and countries

🎉 You make smarter marketing decisions

With clear answers about AI search traffic and ad waste, you know exactly where to invest your marketing budget.

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AI-Generated Review

What is seo-ai-search-dashboard?

seo-ai-search-dashboard is a live dashboard template for tracking SEO performance and AI search engine traffic (called AEO - Answer Engine Optimization). Built in HTML with an Express backend, it connects to Google Analytics 4, Google Search Console, and Google Ads through Graphed's managed data pipeline. The dashboard shows three views: AI Search Performance, Ad Budget Waste, and Organic Overview with 16 panels covering sessions, rankings, impressions, and engagement.

Why is it gaining traction?

The project targets a real pain point—developers building analytics dashboards for marketing teams. Rather than wiring up APIs and warehouses manually, you hand this template to a coding agent and point it at your Graphed workspace. The agent fills in SQL query placeholders with your actual schema, publishes embed URLs, and the dashboard runs. The README explicitly warns against hitting Google APIs directly due to rate limits and sampling issues, positioning the warehouse-plus-MCP pattern as the correct solution.

Who should use this?

Marketing teams that want a custom SEO dashboard but lack a dedicated data engineer. Developers building client reporting tools. Agencies managing multiple GA4 properties who need a template they can hand to an AI coding agent. Not useful for developers who prefer building their own data pipelines or who don't have access to Graphed's infrastructure.

Verdict

The concept is solid and the documentation is thorough for a 19-star project. The template requires Graphed to function, which is a significant dependency not obvious from the headline. At 0.8500000238418579% credibility, this is a niche tool with a specific audience—worth evaluating if you need SEO reporting but unnecessary if you already have a data warehouse and prefer DIY approaches.

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