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.
49 of 144 rules · clear filters
- CON-007 Avoid arbitrary length targets IF a word count is proposed without a task-based reason Baseline
- ONP-011 Measure rich-result realization IF structured data validates successfully Baseline
- ONP-012 Adjust CTR expectations IF CTR is evaluated Baseline
- GRF-001 Link every priority page IF a page is intended to receive organic visibility Baseline
- GRF-012 Measure paths, not link counts alone IF internal linking is evaluated Baseline
- AUT-001 Evaluate link quality multidimensionally IF an external link opportunity is considered Baseline
- AUT-004 Reject manipulative placements IF a link requires deception, irrelevant insertion, undisclosed payment, or policy violation Baseline
- AUT-007 Use tool metrics as proxies IF DA, DR, UR, PA, traffic estimates, or difficulty scores are used Baseline
- AUT-009 Measure brand demand effects IF earned media or authoritative mentions may increase awareness without direct referral clicks Baseline
- AUT-012 Judge authority by target outcomes IF links or mentions increase but the target cluster does not improve Baseline
- TEC-001 Require public accessibility IF a page is intended for search visibility Baseline
- EXP-001 Require a mechanism hypothesis IF an intervention has no stated reason it should affect an outcome Baseline
- EXP-002 Capture a baseline IF a change is about to be implemented Baseline
- EXP-004 Choose one primary metric IF an experiment has many possible success metrics Baseline
- EXP-005 Set guardrails before launch IF a change can improve the primary metric while harming quality, accessibility, revenue, or trust Baseline
- 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-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-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