A clear method for complex reputation problems.

1. Discovery and scope

We define the name, brand, locations, languages, searches, platforms and decisions at risk. We do not try to monitor the entire internet; we agree a useful perimeter for Spain, Europe, the United States or the relevant market.

We work from exact URLs, dated screenshots, verifiable documents and a clear definition of the affected audience. We distinguish facts, opinions, personal data and allegedly illegal material before recommending action.

• Priority URLs and queries
• Affected markets and languages
• Urgency, safety and amplification risk
• People responsible for verification and approval

2. Analysis and classification

Every item is classified by source, reach, accuracy, age, editorial control, applicable rules and possible routes. Legitimate critical feedback is not treated like impersonation; an outdated news story is not confused with exposed personal data.

We present a plain-language map: what may be attempted, what needs more evidence, what should be answered and what is better monitored. Where legal interpretation is required, we recommend qualified legal advice.

3. Plan, execution and measurement

The plan assigns priorities, owners, dependencies and decision points. Work can include source or platform requests, stronger controlled pages, coordinated responses, authority assets and checks across search and AI systems.

We measure verifiable states: accepted corrections, resolved requests, search composition, source quality, review trends and public-data consistency. We do not attribute every movement to one action.

• Initial report and baseline
• 30, 60 and 90-day plan where appropriate
• Request and response register
• Periodic review of limits and next steps

Confidentiality and expectations

We apply data minimization from the first contact. We do not need passwords, banking credentials, complete identity documents or illegal material for an initial assessment.

Outcomes depend on facts, current policies, applicable law and independent decisions by platforms, publishers, search engines and AI providers. We do not guarantee removals, rankings, publication or specific AI answers.

Standards that turn a plan into responsible work.

Implementation begins with one source of truth. The team records the exact URLs, query wording, language, location, device context and observation date. Claims are separated from verified facts, and every important statement is assigned an owner who can confirm it. This avoids a common failure: publishing or reporting quickly with inconsistent names, dates, biographies or explanations that create further uncertainty for customers, journalists, search engines and AI systems.

Every external request should identify the specific item, the applicable ground, the evidence and the requested outcome. Removal, correction, delisting and response are not interchangeable. Internally, approvals should include communications, operations, privacy, security or qualified counsel according to the risk—not an unnecessarily large group. The final record should show what was sent, when it was sent, who made the decision and what appeal or review point remains available.

Public content must earn its place. A useful page answers a real question, identifies the responsible entity, supports claims with evidence and remains maintainable after launch. Profiles should agree on core facts while respecting the norms of each platform and market. Review invitations should be neutral and available to genuine customers rather than filtered for positive sentiment. Media or Wikipedia work should respect editorial independence and disclose conflicts where required. These standards protect the credibility of the wider program.

Measurement compares equivalent conditions over time. We examine source corrections, platform decisions, response completion, search-result composition, review themes, controlled-page discovery and recurring AI-answer patterns. A daily ranking or one favorable screenshot is not sufficient evidence. Reports should identify uncertainty, outside dependencies and unintended effects, including amplification. The objective is a more accurate and resilient information environment that supports informed decisions—not the artificial appearance that criticism or history never existed.