AI Systems
Engine Build/engine-build/ Workflow Automation/workflow-automation/ AI Workshops/ai-workshops/Planned
TikTok + Creator/tiktok/ Affiliate/affiliate/ Paid/google-ads/the offer · one thing, on purpose
Cited, then recommended, inside ChatGPT, Gemini, AI Overviews, and Perplexity. Entity-rich content built for retrieval, a tracked panel of real buyer prompts, and a monthly report with citation share per engine. Run as acquisition, never as an experiment.
/geo/
The first move for every client: when buyers ask AI about your category, do you exist? Fixed scope, fixed fee, findings yours to keep - the diagnosis that makes every next decision cheaper.
/ai-readiness-audit/
SEO and AI systems live in the house too - they serve the spearhead. The full offer map ->
methodology
We don't start from a keyword list. We start from the problem your customer is trying to solve, build a content universe around it - multiple sources, multiple asset types - and make it retrievable by people and answer engines alike. Then we measure the ladder that actually matters: visible → cited → recommended.
how an engagement runs
01 diagnose
A one-off, fixed-scope diagnostic: where you stand in AI answers and in search, and what would move it. You keep the findings either way.
02 build
Content built for retrieval, technical foundations fixed, measurement wired per engine. This is construction, with a definition of done.
03 run
Monthly operation of the channel: production, tracking, and a report that says cited or recommended in numbers - never vibes.
proof · rank · authority
We think proof should be public. Our live ranking experiments and the Southeast Asia AI-search benchmark are in progress - built in the open, published here. No borrowed case studies, no logos we can't back. Watch this space.