Building a content system for SEO and AI search | aimeGeo

Keywords, headlines, and drafts should behave like relational rows, not tribal knowledge.

1. Keyword objects capture intent, risk tier, linked canonical facts, and translation notes.
2. Title objects stack multiple H1 candidates with mandatory proof points and banned claims.
3. Article objects separate brief, draft, legal review, and published states—each transition auditable.

The aimeGeo UI exposes this via dozens of focused modules; until dedicated tables land, geo_records carries JSON—so disciplined schema design matters today.

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Guardrails for LLM drafts

• Feed models explicit fact anchors and compliance negatives; “sound smarter” is not a spec.
• Never outsource sensitive customer maths to generative filler.
• Keep human review mandatory—workers may stage pages but policy decides clicks.

When every artefact shares a module_key, analytics can finally answer which intent underperforms instead of blaming “content” generically.