For PR & Comms Teams

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• What reputation management skills should every communications professional develop?

  Every communications professional should build six baseline skills: entity-optimization basics, AI literacy, Wikipedia policy fluency, the ability to read a search-result page critically, structured-data fundamentals, and integrated measurement across earned, owned, Wikipedia, and AI channels.

  Read the full answer →
• What should every PR professional know about AI reputation management?

  It comes down to five points. AI engines now shape stakeholder perception alongside earned media; you influence what they say through the underlying sources rather than by editing model output; different models can each say something different about the same company; monitoring has to be continuous; and working with reputation specialists is now standard practice.

  Read the full answer →
• How do you brief a reputation management firm on a client without compromising confidentiality?

  Brief under an NDA, then run a structured transfer that separates what the firm needs to act on - goals, constraints, sensitive history, and prior work - from what it does not yet need to hold. Anonymize or hold back the most sensitive specifics until the work requires them. Structure protects confidentiality better than withholding does.

  Read the full answer →
• How does AI change the way PR professionals need to think about content?

  AI adds a second reader to every page. Alongside the human you want to persuade, an engine now extracts and synthesizes what you publish, so content has to be clearly structured, machine-readable, and cited by credible third parties for AI answers to pull it reliably.

  Read the full answer →
• How do you align ESG communications with reputation management strategy?

  Align ESG communications with reputation strategy across four channels: authoritative content anchored to real commitments and measured outcomes, AIQ™ monitoring of how AI engines answer ESG-specific prompts, accurate Wikipedia ESG sections maintained through disclosed COI work, and structured benchmarking against named peers on the same questions. Scrutinizers look for inconsistency between those channels, so the record has to hold up in all four.

  Read the full answer →