01
How ChatGPT picks which brands to cite
A breakdown of citation signals: source authority, structured data, recency, and the off-site surfaces that disproportionately feed ChatGPT’s answers.
blog · coming soon
The blog launches with the first real audit teardowns.
We’re building this slowly on purpose. Every post will be backed by data from real audits, sourced from the same pipeline that powers the product. No regurgitated takes — just what we see when we run brands through the engines.
what’s on the queue
02
The off-site playbook nobody else gives you
Reddit appears in roughly two-thirds of AI answers. We map the subreddits, YouTube channels, Q&A archives, and G2 categories that move the needle in each category.
03
Why your visibility differs across engines
ChatGPT, Claude, Gemini, Perplexity, and AI Overviews don’t share a citation graph. We show what causes the divergence and how to fix it on each.
04
Real audit walkthroughs
Anonymized teardowns of public-domain audits — what the heatmap looked like, which gap we surfaced, and what the brand shipped to close it.
while you wait
The first post will probably be about your category.
Run a free audit on your domain — you’ll see the same data we’ll be writing about. No credit card, no demo wall.
We’re also publishing on YouTube. Channel goes live soon — same content angle, just with the heatmap and dashboards on screen.