Subscribe
Share
Share
Embed
A viral thread reveals a free Notion + Claude Code skill file to build an AI search dashboard tracking ChatGPT, Perplexity, Gemini citations alongside GA4 and Search Console data.
A free Notion + Claude Code skill file, revealed in May 2026, allows marketers to build an AI search dashboard for tracking citations.
Key takeaways:
Q: How can marketers track AI search citations in 2026?
A: Marketers can utilize a free Notion + Claude Code skill file to build a dashboard tracking citations from ChatGPT, Perplexity, and Gemini.
Q: What data sources can be integrated into an AI search dashboard?
A: An effective AI search dashboard integrates AI citation data with traditional sources like Google Analytics 4 (GA4) and Google Search Console.
The landscape of digital marketing in 2026 demands precise tracking of AI search engine visibility, with platforms like ChatGPT, Perplexity, and Gemini driving significant traffic. A recent viral thread on x.com highlighted a free Notion + Claude Code skill file, enabling marketers to construct a robust dashboard. This tool helps monitor citations from leading AI models alongside traditional data from Google Analytics 4 and Google Search Console. Understanding where and how AI models cite your content is crucial for optimizing for AI Overviews and other generative results. AEO Engine helps businesses navigate this evolving environment, providing insights into AI-driven traffic and content strategy to ensure sustained digital presence.
New episode every morning. Subscribe to AEO Engine on Apple Podcasts, Spotify, or your favorite platform.
Answer Engine Optimization (AEO) is how your brand gets cited, recommended, and surfaced inside ChatGPT, Perplexity, Google AI Overviews, and Claude. This is the daily podcast for marketers, founders, and SEOs who want their brand to be the answer AI engines give.
Each episode breaks down a new AEO tactic, a real algorithm change, or a brand that just won (or lost) visibility inside AI search. Topics include: how ChatGPT decides which brands to recommend, how Perplexity chooses its sources, how Google AI Overviews differ from traditional SERPs, how to structure content for LLM citation, schema strategies for answer engines, and the emerging field of Generative Engine Optimization (GEO).
Brought to you by AEO Engine — the platform brands use to monitor, measure, and grow their AI search visibility. Whether you're a B2B marketer, DTC founder, or in-house SEO, this podcast turns the daily chaos of AI search into a concrete playbook you can execute on.
New episode every morning. Transcripts on every episode. Subscribe to stay ahead of how AI engines rank and recommend brands.
[Host] Welcome to the A.E.O. Engine AI Search Show — the number one podcast for brands looking to get cited by ChatGPT, Gemini, and Perplexity. I am your host, Aria Chen. Every day we bring you fresh episodes on A.E.O. tactics, S.E.O. authority, and A.I. search distribution — breaking down what is actually working right now so your brand becomes the answer, not just a link. Today, we're diving into something that took off on X recently: a free, open-source way to build a Claude-powered dashboard that tracks your visibility across ChatGPT, Perplexity, Gemini, and ties it to your Google Search Console and Analytics data. My guest is Marcus Reid — former Google Ads, ex-martech founder, now analyst. Marcus, welcome.
[Guest] Hey Aria, glad to be here. I've been following this thread closely — it's one of those rare pieces of practical utility that actually delivered on the hype.
[Host] Right. So let's start with the moment every marketer knows: you're juggling five tabs — Search Console, GA4, Perplexity search results, a ChatGPT conversation you had last week about your own brand... and you realize you have no single view of where your AI search traffic is coming from. You're not sure if ChatGPT cited your product yesterday, or if Perplexity is pulling your blog post. You're basically flying blind on the channels that are growing fastest.
[Guest] Exactly. And then someone posts on X: "Here's a Notion template and a skill file — feed it to Claude Code, and it will build you a dashboard that watches all those AI citations alongside your usual analytics." And it exploded because that pain is universal. The thread got thousands of shares. Marketers are desperate for this visibility.
[Host] So there's actually a name for this now: the "Free Claude Code S.E.O. & AI Search Dashboard." It's a methodology — not a product — that uses Anthropic's Claude Code, which is that terminal-based coding assistant, to pull data from Google Search Console, GA4, and even a custom fetcher for AI search citations — ChatGPT, Perplexity, Gemini. Then Claude analyzes it all and spits out insights. No custom dashboards to build, no Looker Studio maintenance. Just a structured prompt and your data.
[Guest] And the key word is "free." The API calls to Search Console are free. The Python scripts are open-source. The Notion template is free. You only pay for Claude Code usage if you go beyond free tier — but honestly, you can get a ton done within limits. The project structure is dead simple: a config file, a folder of fetchers — fetch_gsc.py, fetch_ga4.py, fetch_ai_visibility.py — and a data folder. You run the scripts, they dump CSVs, then you tell Claude Code: "Analyze this."
[Host] Let's get into how it works because it's elegant. The viral thread shared a Notion page with step-by-step instructions. You set up a project directory with those fetchers. The Google Search Console fetcher uses a service account — read-only, free, pings queries and pages for the last 90 days. The GA4 fetcher pulls traffic by channel. And then the AI visibility fetcher — that's the novel part — uses a free API or scrapes to check whether your site or brand is cited in Google AI Overviews, ChatGPT, Perplexity answer snippets.
[Guest] Right. And then you load all that into Claude Code. The AI doesn't replace rank tracking — it analyzes and cross-references. It can say: "Your traffic from AI answer engines increased 30% week over week, but your blog post on topic X is not cited by ChatGPT despite ranking well in Google. Here's a suggested content update to fix that." That's the value — synthesis that would take a human hours, done in seconds.
[Host] And the community reaction was fascinating. On Reddit, some people claimed huge traffic gains using Claude as an S.E.O. strategist — "from 0 to 10,000 users in 6 weeks." Those posts got torn apart. The consensus was that's a spammy ad. But the actual tool — the dashboard workflow — got genuine praise. Developers and S.E.O.s said it cut analysis time from hours to minutes. One comment on DEV community nailed it: "The AI gives me structure. I give it soul." Because the content that actually ranks still requires real product knowledge and opinions.
[Guest] I'd add a note of skepticism: the AI visibility data quality depends on the fetcher you build. If you're scraping for your brand name in a ChatGPT response, that's fuzzy. You might get false positives or miss citations. The Search Engine Land piece warned that these are still early days — but the direction is right. We need free, accessible tools that measure AI search presence, because the traditional S.E.R.P. is no longer the full picture.
[Host] I'll be honest: I don't know if this exact dashboard will still be relevant in six months. Claude Code changes fast, APIs get deprecated, and AI citation measurement is still a moving target. But the principle is solid: your brand needs to know when ChatGPT or Perplexity mentions it, and this method gives you a starting point. It's like the early days of web analytics — crude but foundational.
[Guest] And that's where a platform like A.E.O. Engine comes in professionally. Instead of cobbling together Python scripts and a Notion template, we systematize this for brands at scale. Our programmatic A.E.O. approach tracks exactly these citations — across ChatGPT, Gemini, Perplexity — and ties them to revenue. We've seen clients get 920% average lift in AI-driven traffic by being cited correctly. The free dashboard is a great entry point to understand the problem, but to operationalize it, you need a system.
[Host] Exactly. This free Claude dashboard is a powerful diagnostic tool. It shows you what you're missing. But then you need the strategy to fill those gaps — content that actually gets cited, structured data that AI models parse easily. That's where A.E.O. Engine's always-on A.I. content agents come in. They publish optimized content that feeds both Google and the answer engines. The dashboard tells you where you're invisible; our system makes you visible.
[Guest] One concrete example from the research: someone building this dashboard found that their site wasn't indexed by GPTBot properly. The dashboard flagged it, they fixed the robots.txt, and within weeks they saw a citation appear in a ChatGPT response. That's a win you can attribute directly. So for any marketer listening: download the free Notion template, try the dashboard, see what you find. Then come talk to A.E.O. Engine about turning those insights into a machine that runs on autopilot.
[Host] Alright — quick recap: a free Claude Code dashboard now exists to track AI search citations from ChatGPT, Perplexity, and Gemini alongside Google Search Console and GA4 data. It's open-source, runs in your terminal, and it shows you where your brand is — or isn't — being cited by AI. Try it. See what's missing. And then stop guessing about your AI search visibility. Go to aeoengine.ai to learn how we make your brand the answer, not just a link. Until next time, keep optimizing.
[Guest] Thanks, Aria. See you next episode.