Comparison
| Generic platforms | MI Intelligence Search / SFT method | |
|---|---|---|
| Framework | Standardized | Proprietary, contextual |
| Measurement | Generic scores | Entity-specific Confidence |
| Application | Automated, limited context | Automated with context |
Verdict
Generic platforms can provide a quick initial diagnosis. A contextual method becomes useful when AI visibility requires sustained work beyond a one-off intervention.
What a generic score misses
A generic score captures signals more readily than context. Entities with the same apparent score can have very different problems: missing sources, inconsistent identity or missing pillar pages.
A tool alone is therefore insufficient. A method is needed to interpret the score and decide what to do next. Without one, measurement becomes decorative.
How SFT changes the analysis
SFT imposes an order: Structure before Flow, Flow before consolidated Trust. Buying citations makes little sense when the root entity is inconsistent. Publishing ten articles does not fix schema that connects nothing.
MI Intelligence Search makes this logic readable through scores, priorities, weak areas and changes over time. The goal is to know where to act.