LLM Visibility Tracking: The New Marketing Channel Indie Hackers Can’t Ignore

Your SEO is perfect. Your Product Hunt launch crushed it. But when someone asks ChatGPT “what’s a good project management tool?” — you’re invisible.

This is LLM visibility, and it’s the marketing channel that didn’t exist in 2023.

Why This Matters in 2026

47% of B2B buyers now start with AI assistants, not Google. ChatGPT processes 10 billion queries monthly, with 23% being product recommendations. If you’re not in those recommendations, you don’t exist to a massive segment of buyers.

How LLMs Choose Products

ChatGPT & Claude (Training Data)

  • Rely on data before their cutoff dates
  • Wikipedia citations carry huge weight
  • Reddit and HN discussions shape perception
  • Comparison content signals legitimacy

Perplexity (Live Search)

  • Searches web in real-time
  • Recent Reddit threads rank highly
  • FAQ schema markup gets quoted directly
  • Fresh comparison posts appear immediately

5 Tactics That Actually Work

1. Write Comparison Content

Create “X vs Y” posts comparing your product to alternatives. Post on your blog, Reddit, and LinkedIn.

2. Build FAQ Pages

Answer real questions with schema markup. Target queries like “What’s the best [category] for [use case]?”

3. Get on Wikipedia

Add your product to “List of [category] software” pages with neutral, cited descriptions.

4. Seed Reddit Discussions

Authentic engagement in r/SideProject, r/IndieHackers, and category-specific subs. ChatGPT trains on this.

5. Write Technical Content

Deep dives on “How we built [feature]” signal expertise that LLMs trust.

The Manual vs Automated Approach

Manual: Query each LLM weekly, track in spreadsheets, spend 4-6 hours/week.

Automated: Minnal queries all major LLMs automatically, tracks visibility scores, suggests tactical improvements, and schedules GEO-optimized content.

Case Study: 0% to 60% in 6 Weeks

FlowSpace (ADHD productivity tool) went from zero ChatGPT visibility to 60% by:

  • Publishing comparison content (15% Perplexity boost)
  • Adding FAQ with schema markup (20% ChatGPT boost)
  • Getting on Wikipedia (25% ChatGPT boost)
  • Reddit engagement (additional 15% gain)

Key insight: Wikipedia alone drove 25% visibility improvement.

Common Mistakes

  1. Treating it like SEO — Backlinks don’t exist in training data
  2. Only optimizing for one LLM — Each uses different mechanisms
  3. Being promotional — Lead with value, be authentic
  4. Not tracking over time — Visibility changes as models retrain

Get Started Today

Check your baseline: Ask ChatGPT, Claude, and Perplexity about products in your category. Do you appear?

Pick one tactic and execute this week. Track results weekly.

Ready to automate? Try Minnal free at minnal.io — built by indie hackers, for indie hackers.

Track your LLM visibility across ChatGPT, Claude, Perplexity, Gemini, and Grok automatically with Minnal.