How to run a correction propagation audit
A practical guide to checking whether a corrected fact has reached publishers, citations, knowledge sources, AI answers and summaries.
Reputation management
Reputation management covers how companies, executives and brands are judged across search, media, AI systems, review platforms and public conversations. This section explains the strategies, risks and practical decisions behind building, protecting and repairing reputation.
What is reputational data integrity?
When prices, policies, ownership records or credentials disagree across platforms, companies leave machines and customers to determine which version deserves to be trusted.
AI agents can create enforceable obligations
Customer-facing systems can misstate refunds or warranties and still leave the business responsible for the representation.
A customer-facing AI agent can create the crisis itself
A bad refund promise or eligibility decision can become a public corporate commitment before any employee has approved it.
Covert Reddit marketing carries a reputation cost
Brands chasing AI visibility through disguised community activity risk leaving a searchable record of manipulation.
AI job cuts are complicating the productivity pitch
Companies want investors to see lower labor costs as proof of automation while employees increasingly read the same savings as a warning about their own jobs.
Google is making reputation search less uniform
Preferred Sources can give different users different publisher mixes around the same developing company story.
How to build a Content Credentials signing policy
A practical guide to governing who can sign official media, agency access, credential revocation and compromised signing keys.
Paywalls are distorting how negative coverage travels
Subscribers see evidence and caveats that search and AI often leave behind.
