How does Five Blocks use data from its platforms to inform strategic recommendations?
The platforms generate the raw diagnostic data; senior account managers and strategists turn it into prioritized recommendations the client acts on. Each week they review IMPACT for keyword movement and threats, AIQ for changes in AI source attribution and sentiment, and triage WikiAlerts notifications as they arrive. The result is a ranked action list the client sees next to the underlying data in monthly reports.
Five Blocks reads three data streams throughout the week and turns them into one ranked recommendation list, which is what clients receive.
Step 1, read the platforms
- IMPACT, reviewed each morning for keyword movement and any new threats appearing in tracked SERPs.
- AIQ, reviewed daily for changes in AI source attribution, sentiment, and narrative themes across the eight monitored engines.
- WikiAlerts, edit notifications triaged as they arrive.
Step 2, prioritize
From that read, the account manager and strategist produce a ranked set of recommendations. Common types include:
- Which Wikipedia edit request to file next
- Which source needs to be strengthened or replaced in the AI-facing source ecosystem
- Which schema markup change will do the most for entity recognition
- Which media placement to coordinate with the client’s PR firm
Step 3, deliver
The recommendations are what the client sees; the platforms are the analytical layer underneath. Each monthly report puts the recommendations and the underlying data side by side, so clients understand both what is recommended and why.
Last reviewed: 19/05/2026
