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 translate it into prioritized recommendations the client actually acts on. Each week, IMPACT is reviewed for keyword movement and threats, AIQ for shifts in AI source attribution and sentiment, and WikiAlerts notifications are triaged as they arrive, producing a ranked action list the client sees alongside the underlying data in monthly reports.
Five Blocks uses three data streams continuously throughout the week and converts them into a single prioritized recommendation list, the work product that clients actually 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 shifts in AI source attribution, sentiment, and narrative themes across the eight monitored engines.
- WikiAlerts, edit notifications triaged as they arrive throughout the day.
Step 2, Prioritize
From that continuous read, the account manager and strategist produce a ranked set of recommendations. Typical recommendation 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 most materially affect entity recognition
- Which media placement to coordinate with the client’s PR firm
Step 3, Deliver
Recommendations are the work product the client sees; the platforms are the analytical layer underneath. Each monthly report shows the recommendations and the underlying data side by side, so clients understand both what is being recommended and why.
Last reviewed: 19/05/2026
