What does a reputation management RFP look like?

An effective reputation management RFP gives firms enough information to propose precisely while signaling that the client understands the discipline. The eight components that make it work:

Scope of services and channels

Specify which disciplines are in play, organic search, AI engine results (ChatGPT, Gemini, Perplexity, etc.), Wikipedia and entity knowledge panels, crisis support, so every proposal addresses the right problem rather than a generic one.

Business context

Reputation work serves business goals. Firms need to understand the underlying objective, executive positioning, M&A preparation, post-crisis recovery, competitive differentiation, to propose work that moves the right metrics.

Digital-landscape concerns

Describe what is currently visible in search results and AI responses that prompted the RFP: problematic articles, thin Wikipedia coverage, negative AI narratives, entity confusion. The more specific, the sharper the proposals.

Required reporting

State the expected cadence (weekly, monthly), depth (executive summary vs. raw data), and format (dashboard, PDF, live access). Firms should know what deliverables are non-negotiable before they price the work.

Evaluation criteria

List the factors that will drive the decision, technical capability, track record, team seniority, price, cultural fit, or some weighted combination. Transparency here produces better, more comparable proposals.

Timeline

Include both the procurement schedule (submission deadline, shortlist date, award date) and the desired project start. Urgent timelines affect staffing and should be disclosed up front.

Budget range

Providing a realistic range, even a broad one, lets firms scope work to fit rather than guessing. Without it, proposals tend to cluster at a generic mid-market price and may not reflect what is actually achievable within real constraints.

Confidentiality requirements

Reputation engagements are sensitive. State any NDA expectations, restrictions on using the client name as a reference, or data-handling requirements before firms invest in a proposal.

Diagnostic questions to include

A strong RFP also asks the questions that separate serious reputation firms from link-removal or suppression vendors:

• What is your methodology for improving search and AI visibility, and what does it explicitly exclude?
• What proprietary technology or data do you use to measure the current landscape?
• How do you handle conflicts of interest (other clients in the same category or geography)?
• Can you provide references from engagements with comparable scope or sensitivity?
• What is your policy on tactics that violate search engine or platform guidelines?