Strategy & Tactics

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

• How do you handle a negative Wikipedia page ranking on page one?

  A negative Wikipedia article on page one is handled on two parallel layers: delicate, disclosed-COI Talk-page work, filing edit requests with reliable secondary sources to correct factual errors and to bring an unbalanced article toward NPOV proportionality, letting independent editors decide, and strengthening the rest of page one so the article ranks second on a SERP of authoritative owned and earned content rather than first on a thin one. The work compounds over months; Wikipedia is built to resist coordinated influence, so there is no fast path.

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• What is the role of anchor text in reputation management?

  Anchor text - the clickable words in an inbound link - tells Google what the linked page is about. Natural, branded, and contextually relevant anchors build legitimate authority; exact-match commercial anchors repeated at scale trigger algorithmic penalties and degrade the entity over time.

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• How do you handle negative forum posts and Reddit threads in search results?

  Negative Reddit and forum threads are handled through factual response where it genuinely helps, platform engagement on clear policy violations, authoritative content that displaces the thread at the SERP level, and AI narrative monitoring - because forum content increasingly feeds the AI engines.

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• How do you handle a negative search result from a high-authority website?

  A negative result from a high-authority site is addressed on parallel tracks: an accurate factual response, a correction request where the article contains documented errors, sustained authoritative competing content, and ongoing AI-narrative monitoring through AIQ. Removal is rare, so the goal is to rebalance the picture over a period of months.

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• How do you handle a competitor’s negative SEO attacks?

  Negative SEO attacks, manipulative link spam, fake reviews, scraped content, fabricated profiles, are addressed through four established remediation channels: Google's disavow tool for link spam, platform policy-violation reporting for fake reviews and hostile profiles, DMCA for scraped content, and ongoing monitoring through IMPACT and AIQ to track downstream impact on SERPs and AI engine responses.

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