How to Build an SEO Commissioning Workflow
Search Engine Journal on shifting SEO "left" — from reactive post-launch fixes to a pre-creation commissioning process. Traditional/enterprise search-marketing operations & governance (not AI-specific, though its structured-data angle bridges to the AI side).
The five-stage workflow
- Define intent — why a digital asset should exist, from a search perspective.
- Define eligibility signals — schema, metadata, structural requirements before development.
- Structural requirements — shape platforms/templates for searchability at scale.
- Pre-launch validation — confirm the commissioning requirements were actually implemented.
- Post-launch monitoring — feed performance back into future requirements.
Why it's here
Enterprise SEO process design for orgs with large content ops and legacy ticket-based workflows. Its "eligibility signals = schema/structured data before build" is the same structured-content substrate that generative-engine-optimization / brand-depth-ai-recommendations rely on for AI to parse and recommend — so good traditional SEO commissioning is also GEO groundwork. (Caveat: practitioner op-ed.)
Why T4
Unevidenced, and the gap is specific: no organisation. This is a five-stage governance process for enterprise SEO, and the case for it is that reactive post-launch fixing is expensive — which is true and which nobody here has costed. No company is named as having commissioned this way, no ticket volume or rework figure is given before and after, and "shift left" is imported from software delivery without the delivery research that made the phrase mean something. A single enterprise reporting defect counts on both sides of adopting it would move this to T2.
Related
search-marketing · generative-engine-optimization · brand-depth-ai-recommendations