What should an annual reputation management review include?

An annual reputation review is the moment to step back from monthly execution and assess whether the program is achieving what it was built to achieve. It is structured in two halves: a retrospective that accounts for the year past and a prospective that recalibrates for the year ahead.

Retrospective: what the year delivered

KPI movement against baseline

How the branded result set, the AI narrative across the eight AI engines AIQ™ currently monitors, and the entity signals have shifted since the program began. Progress is measured rather than asserted, anchored to the original baseline captured in IMPACT™.

Peer benchmarks

Reputation is relative. Standing against competitors matters as much as absolute movement, so the review situates the client’s position within its peer landscape.

Work completed and platforms managed

An itemised account of activity over the year, content production, entity-signal work, Wikipedia and Wikidata contributions, AIQ™-monitored narrative shifts, and WikiAlerts™-tracked article changes, so the activity is visible and accountable.

Business-outcome attribution

Where the data supports it, the review connects reputation work to the business goals it serves, connecting SERP and AI-narrative improvements to downstream outcomes.

Prospective: what the next year requires

Forward strategy

Reassessing priorities for the coming year in light of what the platforms, the AI engines, and the competitive landscape now look like, since all three evolve continuously.

Scope adjustment

Revising the program’s remit to match the current situation rather than carrying the original scope forward unchanged.

Budget recalibration

Aligning spend with the reset priorities, so resources follow the work that matters most in the year ahead.