Decisions
144 rules
Twelve areas, twelve rules each. Every rule is an IF / THEN / ELSE with a primary metric, a guardrail and the LAKA levels it operates at.
144 of 144 rules
- EXP-006 Use controls when feasible IF comparable untreated pages, clusters, regions, or time periods exist Baseline
- EXP-007 Account for seasonality and external events IF demand, algorithms, campaigns, news, inventory, or holidays can affect the outcome Baseline
- EXP-008 Represent uncertainty IF sample size is small, variance is high, or exposure is incomplete Baseline
- EXP-009 Allow processing and learning time IF a change has not had enough crawl, index, ranking, or behavioral exposure Baseline
- EXP-010 Distinguish single-variable and package tests IF several material variables change together Minor
- EXP-011 Escalate by diagnosed mechanism IF a lower-level LAKA intervention fails Minor
- EXP-012 Use explicit continue/revise/revert/retire decisions IF a review point is reached Baseline
- GOV-001 Keep foundational SEO as the base IF the goal includes visibility in generative search experiences Baseline
- GOV-002 Do not depend on llms.txt for Google Search IF a proposal claims a special AI text file is required for Google visibility Baseline
- GOV-003 Do not chunk content mechanically IF content is being split only because an AI system is assumed to need tiny sections Major
- GOV-004 Use query fan-out as a research map IF a broad request implies related information needs Major
- GOV-005 Block scaled content abuse IF content volume is generated primarily to manipulate rankings or AI responses without distinct user value Structural
- GOV-006 Measure generative visibility directly IF Search Console or another first-party surface provides generative-search reporting Baseline
- GOV-007 Do not invent AI-specific schema IF a proposal adds unsupported structured data solely for generative visibility Baseline
- GOV-008 Prepare for agentic use through usability IF browser agents or assistive systems need to interpret and operate the site Structural
- GOV-009 Expose freshness and provenance IF data may change or be reused in generated answers Major
- GOV-010 Constrain programmatic expansion IF candidate combinations exceed quality or maintenance capacity Structural
- GOV-011 Protect privacy, consent, and sensitive data IF volumetric generation or personalization uses personal, confidential, licensed, or restricted data Structural
- GOV-012 Pursue paradigm assets selectively IF a new tool, dataset, benchmark, diagnostic, or agent can complete the task far better than existing result classes Paradigm