Beyond ChatGPT: How We Taught Our AI to Understand Your Product (From a URL)

Open ChatGPT. Ask it to write a Reddit reply promoting your product. You'll get something like:

"I've been using [Product Name] for a few months now and it's really helped me with [general problem]. Highly recommend checking it out!"

It's not wrong. It's just... useless. Generic praise that could apply to any product. No specific features. No relevant use cases. No reason for anyone to click.

This is the fundamental problem with using generic AI for Reddit marketing: the AI doesn't know your product, so it can't say anything specific about it.

We built Vibeddit to solve this. Here's how we taught our AI to actually understand your product—starting from just a URL.

The Problem with Generic AI

When you prompt ChatGPT or Claude to write marketing content, you're fighting two limitations:

1. No product knowledge The AI knows general patterns ("users love X") but nothing about your specific features, use cases, or value propositions. You can paste your marketing copy into the prompt, but that's tedious and error-prone.

2. No context awareness Each conversation starts fresh. The AI doesn't remember what it learned about your product. Every time you want a new reply, you're starting from scratch.

The result: founders either spend huge amounts of time crafting detailed prompts for every single reply, or they get generic output that sounds like AI.

The Product-Aware Difference

When you connect a product to Vibeddit, something different happens.

You paste your URL. That's it—just your homepage or product page.

We extract structured knowledge:

• What does your product actually do?
• Who is it for?
• What problems does it solve?
• What are the key features?
• What makes it different from alternatives?
• What language does your brand use?

This knowledge persists. Every draft we generate knows your product. Not because you prompted it each time, but because the AI has internalized your product context.

The output is specific:

"The scheduling feature specifically helps with the problem you're describing—you can set time blocks for different subreddits so you're not constantly context-switching."

This isn't generic. It references an actual feature. It connects to an actual problem. It sounds like someone who actually uses the product.

How the Learning Works

Let me walk you through what happens behind the scenes.

Step 1: URL Crawling

When you enter your product URL, we don't just scrape the text. We analyze the page structure to identify:

• Headlines and subheadlines (core value props)
• Feature lists and descriptions
• Customer testimonials and use cases
• Pricing information
• Call-to-action language

For marketing sites, we prioritize the above-the-fold content—that's usually where the clearest product description lives.

Step 2: Structured Extraction

Raw text isn't useful. We convert the extracted content into a structured knowledge base:

Product: Vibeddit
Category: Reddit marketing tool
Core Problem: Manual Reddit engagement is time-consuming and inconsistent
Target Users: Indie founders, SaaS marketers, growth teams
Key Features:
  - Automated post discovery
  - Relevance scoring
  - Draft generation with multiple angles
  - Anti-bot safeguards
  - Subreddit-specific customization
Differentiators:
  - Product-aware (learns from your URL)
  - Account ownership (you use your accounts, not rented ones)
  - Human-in-the-loop (drafts, not auto-posting)

Step 3: Knowledge Integration

When our AI generates a draft, it has access to this structured knowledge. But more importantly, it knows how to use it.

The AI doesn't just mention features randomly. It matches features to problems:

• User complains about inconsistent Reddit presence → mention scheduled posting
• User asks about avoiding bans → mention anti-bot safeguards
• User worries about sounding promotional → mention value-first drafting approach

Step 4: Continuous Refinement

Your product evolves. You add features. You pivot positioning. You refine your value prop.

We handle this through periodic re-crawling and user-submitted updates. The knowledge base stays current without requiring you to maintain it manually.

Why Context Per Community Matters

Product knowledge is half the equation. The other half is community context.

The same product—let's say a focus timer app—needs different angles in different subreddits:

r/productivity:

"I've tested a lot of focus timers. The one thing that made [Product] stick was the break scheduling—it actually forces you to step away, which prevents the 'one more task' spiral."

r/ADHD:

"For my ADHD brain, the external structure is everything. [Product] has a mode where it actively interrupts you when time's up, which is the only thing that works for me."

r/startups:

"We started using [Product] for team focus sessions. The multiplayer mode was unexpected but everyone actually uses it for accountability."

Same product. Same AI. Three different angles, each matched to community values.

This is what "community-aware" means in Vibeddit. We combine your product knowledge with learned subreddit norms to generate drafts that feel native to each community.

"Can't I Just Prompt This Myself?"

Yes—with significant effort.

Here's what a complete prompt for a single Reddit reply looks like:

You are helping write a Reddit reply for [Product]. Here's what you need to know:

Product: [3 paragraphs of product description]
Features: [bullet list of features]
Target users: [persona descriptions]
Value prop: [unique differentiators]

The subreddit is r/productivity. The community values:
- Practical advice over theory
- Specific recommendations with reasoning
- Skepticism toward self-promotion
- [etc.]

The post asks about [specific question].

Write a helpful reply that naturally mentions the product only if relevant. Avoid these phrases: [list of AI tells]. Keep it under 150 words. Sound like a genuine community member.

You could do this. But you'd need to write this prompt for every subreddit, customize it for every post, and maintain accuracy as your product evolves.

Or you can paste a URL once and let us handle the rest.

The Authenticity Question

"If AI is writing my replies, isn't that inauthentic?"

This is the right question to ask. Here's our answer:

The AI doesn't post—you do. Every draft is exactly that: a draft. You review it, edit it, add your personal experience, and decide whether to post. The AI saves you time; it doesn't replace your judgment.

Product knowledge makes replies more authentic, not less. When a reply mentions specific features that actually exist and genuinely help with the problem being discussed, that's more valuable to the community than generic "thanks for asking!" responses.

The human is always in the loop. We explicitly chose not to build an auto-poster. We built a drafting assistant. You remain responsible for everything that goes out under your name.

What This Enables

When your AI actually understands your product:

Discovery becomes product-aware. We don't just find posts in your target subreddits. We find posts where your specific product would be genuinely helpful. The difference is dramatic—instead of "here are 50 posts about productivity," you get "here are 8 posts where your scheduling feature would directly address the user's problem."

Drafts become specific. No more generic praise. Replies reference actual features, actual use cases, actual differentiators.

Consistency becomes automatic. Your brand voice, your positioning, your feature framing—these stay consistent across hundreds of replies without you manually checking each one.

Scale becomes possible. Thoughtful Reddit engagement at scale was previously impossible unless you had a team. Now a solo founder can maintain presence across multiple subreddits without sacrificing quality.

Try It Yourself

The proof is in the output.

When we launch, you'll be able to:

1. Paste your product URL
2. Watch the AI extract and structure your product knowledge
3. See draft replies that reference your actual features
4. Experience the difference between generic AI and product-aware AI

Until then, we're refining the extraction, improving the community matching, and dogfooding the tool on our own Reddit presence.

---

Want to see what product-aware AI can do for your Reddit marketing? Join the Vibeddit waitlist—early users get hands-on access as soon as we launch.