Growth Stories #24: How I 10× My ChatGPT Discoverability

TL;DR: The new growth game isn’t getting humans to click.

Own your domain, speak their language (metadata + structure), and feed your work where models live. The creators who optimize for LLMs today will own distribution tomorrow.

Hot take:  If your content isn’t indexable by LLMs, you don’t exist in tomorrow’s internet.

One of the most visible pressures marketers face today is making content discoverable by AI - whether the query runs through ChatGPT, Gemini, or DeepSeek. As coding becomes increasingly commoditized, the enduring superpower is distribution: marketing and its suite of guerrilla tactics that help you stand out.

The core lesson: if you’re publishing but not indexable by LLMs, you’re invisible on the new internet.

This week, I set out to fix just that for Growth Stories. Here’s everything I learned about making your content AI-discoverable - step by step.

Step 1: Owning Your Domain

For me, it all started with one decision: stop living under someone else’s domain. Beehiiv - everyone’s favorite newsletter platform these days - assigns you a subdomain (like growth-stories.beehiiv.com). But I wanted my own space in the new web with a cleaner, more crawlable identity.

So I bought growthstories.xyz, hooked it up to Beehiiv through GoDaddy, waited for SSL to propagate, and just like that, every article I publish now has a permanent, canonical URL that LLMs can read and reference directly.

Step 2: Making It Crawlable

Search engines - and now large language models - live and die by metadata.

So the next logical step to speed up indexing was to enrich every post with clearer signals:

• OpenGraph tags → for clean previews and better context when shared

• Structured JSON-LD → defining each post as an “Article,” complete with title, description, date, and tags

• Custom meta descriptions → concise hooks summarizing each issue

Once that was in place, I submitted my sitemap to Google Search Console and Bing Webmaster Tools, since ChatGPT’s browsing layer still draws heavily from Bing’s index.

Now, every new Growth Stories issue becomes discoverable within hours instead of days.

If you want to dive deeper into how I built the JSON schema and added it to the custom head and body, feel free to book a 15-minute 1:1 call. I’ll walk you through it and show how it improves AEO (Agentic Engine Optimization).

Step 3: Making It Machine-Readable

Some might say that web indexing is basic knowledge for marketers - it’s been around since the early 2000s. And that’s true. But it’s also just the first layer of AEO.

My real goal was to have LLMs read my posts and reference them in future queries from you - or anyone else - not just know they exist.

So I built a simple, free automation:

Using Zapier, I set up a workflow where every time I publish a new Beehiiv post, Zapier instantly creates a corresponding Google Doc inside a folder called /Growth Stories/Published Issues.

Each document follows a consistent naming structure: Growth Stories - Oct 11, 2025 - Agent Discoverability, so everything stays chronologically organized and easily searchable.

Inside the doc, Zapier automatically adds all the essential metadata:

• Title of the issue

• Publication date (formatted automatically by Zapier)

• Original Beehiiv URL

• Preview text (the opening paragraph or summary)

• Tags like #growthstories, #marketing, #ai, and #web3

The result is an automated, clean and structured record of every issue with no paid plan required.

Moreover, because these Google Docs sync directly with ChatGPT’s Google Drive connector, they become instantly retrievable - the moment an issue goes live, it becomes instantly available to models and their crawlers.

Step 4: Connecting to ChatGPT

For the final step, I connected my Google Drive directly to ChatGPT. Now, the model can access the “Growth Stories / Published Issues” folder, find the latest document, and respond with live references.

This integration closes the loop between publication and discoverability: as soon as a new post appears in Drive, it becomes part of the model’s searchable universe. In practical terms, that means when someone asks a question related to growth, AI marketing, or Web3, ChatGPT can surface my content almost instantly - long before traditional search indexing would.

✍️ PS

Next week, I’ll unpack “Marketing in the Age of Physical AI,” a deep dive into how embodied intelligence is reshaping growth.

From humanoid robots to AI-driven brand experiences, I explore what happens when marketing leaves the browser and enters the real world - and how you can get ahead while it’s still early.

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