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What is a reputation recovery roadmap?

Quick answer

A reputation recovery roadmap is a written plan specifying target SERP composition, AI narrative goals across leading AI engines, owned and earned content production schedule, source-level interventions (Wikipedia, structured data, correction requests), peer benchmarks, and program milestones over a six-to-eighteen-month horizon. It is reviewed monthly against live search and AI monitoring data and updated as the trajectory develops.

A reputation recovery roadmap is the document that turns crisis aftermath into a managed program. It specifies, in measurable terms, what the search and AI landscape should look like at months six and twelve, maps the work required to get there, and sets the review cadence that keeps the program on course.

Reputation Recovery Roadmap: six-column horizontal Gantt-style plan covering Target SERP composition, AI Narrative Goals (eight engines).
A reputation recovery roadmap organises six parallel work streams across a six-to-eighteen-month horizon. Each column tracks a distinct discipline; all six are reviewed monthly against IMPACT search data and AIQ AI-narrative data.
Target SERP composition
Specifies what page one for the priority queries should look like at month six and month twelve: which assets should rank, in which positions, and which SERP features should be present. This is the north-star picture that guides content and link-development decisions throughout the program.
AI narrative goals
Specifies how the AI engines should describe the company or person on the priority prompts, with measurable shifts defined for source attribution and sentiment. Five Blocks tracks AI narrative across the eight engines it currently monitors: ChatGPT, Copilot, Gemini, AI Overview, Perplexity, Grok, Claude, and Google AI Mode, so goals can be set and measured engine by engine.
Content production schedule
Maps owned and earned content by month, with named outlets and topics. Sustained, authoritative content production is the primary lever for moving both the SERP and the AI narrative; the schedule makes that production accountable.
Source-level interventions
Lists the Wikipedia Talk-page edit requests, structured-data fixes, Wikidata corrections, and factual correction requests to publishers, in priority order. These are the inputs the engines actually cite, and intervening at the source level produces durable change that pure content volume cannot.
Peer benchmarks
Sets comparative targets against named peers in the same category. Absolute rank or sentiment numbers are hard to interpret without a reference point; peer benchmarks make the relative position legible and give the client context for assessing progress.
Milestones
Ties activities to outcomes that the client and the firm jointly own. Milestones are the accountability layer: they define what success looks like at each stage so that the monthly review has a concrete basis for judgment rather than a general impression of whether things are better.

Best practice, monthly review cadence: The roadmap is a living document. Every month it is reviewed against IMPACT search-rank data and AIQ AI-narrative data, and updated as the trajectory develops. Programs that skip the monthly review cycle lose the feedback loop that makes the program adaptive; programs that maintain it can course-correct before problems compound.

Last reviewed: 19/05/2026

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