AI-native brand commandments

Collapse silos

AI-native brands blur product, marketing, and ops. Start with an entity graph that lists every product, persona, proof point, and buyer objection.

Wire ritualized research

Build a living Airtable or Notion database of every asset and attach the precise entity it supports.
Run monthly narrative interviews with founders and translate the transcripts into snippets ready for schema usage.

Ship systemized creative

With your entity graph in place, creative pods can move faster. A single brief can be repurposed into landing pages, thought-leadership posts, and paid media scripts.

Recommendation engines

Map priorities per quarter (
```
NorthStar
```
,
```
SupportingSignals
```
).
For each priority, produce two POV essays + one lead magnet.
Instrument each piece with schema + tracked CTAs.

“Distinctive brands are engineered like products. Every sprint removes friction between message and market.”

Automate measurement

Embed AI copilots to summarize PR hits, identify keyword wins, and surface anomalies in attribution dashboards. Use code blocks to document the automations:

# update SignalDeck knowledge graph
npx signaldeck sync --entities brand,narrative,proof

Lead with operator scorecards

Close every week with a scorecard covering narrative share, product velocity, and impact metrics. Translate it into a Loom for the exec team so decision-makers act on signal, not gut.