AI reputation management is how we measure and improve the way AI platforms describe, evaluate, and recommend us in answers. As answer engines and assistants synthesize responses, perception is shaped inside the answer itself. If capabilities are misstated or competitors are consistently favored, reputation and pipeline suffer.
Why this work matters
In zero click experiences, users act on the answer, not the result page. These systems define categories, surface shortlists, and compare options. Outdated training data or weak retrieval can misstate features, pricing, or positioning. Mentions often appear with competitors, so tone and order influence how we are perceived.
What we manage
We validate accuracy on core pages, track sentiment, and audit citations to see which sources inform answers. We compare share of voice and positioning language with competitors and trend visibility to see the impact of updates and campaigns.
How we run the program
We measure first. Our prompt tracking captures full answers for representative prompts across platforms. We fix accuracy issues on cornerstone pages and add definitive explainers and FAQs for extractability. We strengthen authority by earning coverage in reputable publications and publishing original data. We improve evaluative content by shipping transparent comparisons and best for guidance that answers can reuse. We re‑measure weekly and correlate improvements with changes in visibility and sentiment.
Playbooks for common scenarios
- Outdated capability description: Add a TLDR with current facts, update screenshots, and include a dated change log. Publish a short FAQ that answers the specific misconception directly. Seed a concise summary to a trusted hub.
- Missing in comparisons: Publish an X vs Y guide with criteria, a compact table, and a best‑for section. Link from relevant pages and seed highlights on a third‑party platform.
- Negative tone around pricing: Clarify tiers with a simple table, add examples of typical usage costs, and include case studies that quantify ROI.
- Weak enterprise framing: Add security, compliance, and deployment details; include an implementation checklist and an architecture diagram.
KPIs and guardrails
- Inclusion rate by platform and tag; share‑of‑voice against competitors.
- Positioning phrases and net sentiment trend by platform.
- Citation frequency and position for key URLs.
- Four‑week moving averages to prevent overreacting to noise.
How teams collaborate
Product marketing owns positioning and comparisons; content owns page structure and extractability; comms owns third‑party coverage and expert quotes. We review the dashboard weekly, choose two or three actions, and annotate releases so measurement stays auditable.
How our product helps
We store full answers with citations for every prompt and platform. Sentiment analysis trends tone over time. Competitive benchmarking views highlight gaps and wins. Tags let us attribute changes to topics, products, or regions. Together, these capabilities turn reputation management into a measurable, repeatable process.