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AI Actions

From knowing what to fix to getting it done.

Turn detected issues and opportunities into AI-assisted recommendations, approved changes and actions applied to connected touchpoints.

01Detect

Start from an issue Rankmore can explain.

Actions begin from evidence already found elsewhere in the platform — for example missing titles, duplicated metadata or another prioritized visibility opportunity.

Site issueVisibility gapPriorityEvidence
02Recommend

Turn the issue into a concrete proposed action.

Instead of stopping at diagnosis, Rankmore can propose the next operational step — such as generating missing metadata or suggesting alternatives for duplicated elements.

RecommendationGenerated solutionContext-aware proposal
03Review

Keep the user in control before execution.

The intended workflow separates generation from application: Rankmore prepares the change, the user reviews it, and only approved changes move forward.

PreviewApproveEditReject
04Apply & verify

Progressively connect recommendations to real execution.

The agentic direction is to apply approved optimizations to connected touchpoints such as CMS platforms and then verify their impact through subsequent Rankmore runs.

Connected touchpointsAutomatic applicationSubsequent runsImpact verification
Rankmore Platform

See what AI sees. Decide what to improve next.

Start with visibility, understand the signals behind it and turn what you learn into better decisions.