What deliverables should you expect from a reputation management firm?
Expect a diagnostic assessment, a prioritized strategy, weekly and monthly reporting, content production, entity-signal and structured-data work, AI narrative analysis across the major AI engines, Wikipedia activity where applicable, and ongoing monitoring across search, AI engines, and Wikipedia.
Deliverables from a reputation engagement should be concrete enough that you can hold the firm accountable to them. A serious firm lists them in the engagement letter so there is no ambiguity about what the program includes. The categories below are what a full program covers.
- Diagnostic assessment
- A baseline map of the branded result set, the AI narrative across the major engines, the Wikipedia and Knowledge Panel state, and the entity signals behind them. Everything that follows is measured against this starting point.
- Prioritized strategy
- A written plan tied to the client’s own objectives, naming which gaps to close first and which channels to address, ranked by expected impact.
- Reporting on a weekly and monthly cadence
- Weekly updates track in-flight activity. Monthly reports tie activity to outcomes and show movement against the diagnostic baseline. Reporting should link what the firm did to what changed, rather than listing completed tasks.
- Content production
- Owned and earned content, produced to close the gaps the diagnostic identified: on-site copy, off-site placements, and any other authored material the program requires.
- Entity-signal work
- Schema markup, structured data, and other entity-level signals that help search and AI engines understand and correctly represent the client. Google retired FAQ rich results in 2026, so FAQPage structured data no longer produces an accordion in the SERP; entity signals now matter more for Knowledge Panels and AI-engine source attribution than for SERP features.
- AI narrative analysis
- Ongoing tracking of what the major AI engines say about the client and why. A full program covers the eight principal AI engines: ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode, and identifies the source documents actually driving each answer.
- Wikipedia activity
- Where a Wikipedia article exists or warrants creation, the firm should do disclosed conflict-of-interest editing on the client’s behalf, in compliance with Wikipedia policy. Wikipedia is one of the most-visited sites on the internet, and AI engines weight its content heavily.
- Ongoing monitoring
- Continuous coverage of search, AI engines, and Wikipedia, so that new developments, negative coverage, Wikipedia edits, and shifts in AI narrative are caught and actioned promptly rather than discovered by the client.
Last reviewed: 20/05/2026