brandpatrol
From invisible category to the answer AI engines give.
BrandPatrol invented a category — brand governance for the AI era — but nobody searched for it yet. Kas built the demand side: category pages, GEO for answer engines and a content engine that runs on the product's own Brand Twin.
- A new category with almost no search volume for its own name.
- Competing for attention with DAM tools and brand-guideline PDFs.
- A small team that can't publish weekly across five channels.
82% of clicks came from the brand name — non-brand demand was untouched.
14.6k monthly searches around 'brand consistency', 'brand guidelines AI' and 'off-brand content' — the problem, not the category.
ChatGPT and Perplexity cited three competitors for 'how to keep AI content on brand' — BrandPatrol in 0 of 40 prompts.
Founder posts got 6× the reach of company-page posts.
Kas tracked 40 buying-intent prompts across ChatGPT, Perplexity and Google AI Overviews every week and rewrote pages until BrandPatrol was cited.
Rank for the pain ('off-brand AI content') and teach the category name on the page.
Publish the Brand Consistency Score methodology as an open, quotable standard for answer engines.
Two LinkedIn posts a week from the founders, one carousel, one motion clip.
12 problem-led pillar pages, schema markup, an llms.txt and a public BCS explainer.
Weekly founder content engine, 3 comparison pages, partner co-marketing with agencies.
Industry benchmark report, PR push, retargeting on high-intent visitors.
“Kas didn't just write posts. It found the words our buyers actually use and made us the answer to them.”