How does Five Blocks measure success?

Five Blocks measures success against objectives set at the outset of each engagement rather than against a single fixed scorecard. Reputation goals differ by client – a public company defending a Knowledge Panel has different priorities than an executive correcting an AI narrative – so the specific KPIs are agreed up front and then tracked over the life of the engagement. The quantitative data behind these measurements comes from two proprietary platforms: IMPACT™ for search reputation and AIQ for AI narrative.

Common success metrics

Search prominence

The visibility of preferred content in search results for priority keywords, tracked daily through IMPACT™ across keywords, languages, and locations.

Knowledge Panel status and accuracy

Whether Google displays a Knowledge Panel for the entity and whether its facts are correct. Panel content is generated automatically from Google’s Knowledge Graph – drawing chiefly on Wikipedia and Wikidata – so accuracy is measured at the panel and at the underlying sources that feed it.

AI narrative sentiment and source quality

How AI engines describe the subject and which sources they draw on, monitored through AIQ across eight major AI engines.

Wikipedia stability

The status of the Wikipedia article and whether it stays accurate and stable over time. This matters because the article feeds the Knowledge Panel and is among the most heavily weighted sources AI engines use.

Client satisfaction

The client’s own assessment of whether the engagement met its stated objectives.

Why the metrics connect

These measures are not independent. A stable, accurate Wikipedia article tends to improve Knowledge Panel accuracy, which then shapes how AI engines describe the subject – so movement on one KPI often shows up in the others. Tracking them together, with IMPACT™ and AIQ supplying the numbers, is what lets an engagement show progress against the objectives set at the start.