Services & Methodology

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

• Why have I never heard of Five Blocks before?

  Five Blocks has built its business through word-of-mouth and confidential client relationships rather than broad advertising. Awareness comes through partner referrals, repeat engagements, and select thought leadership, and the firm takes on fewer, larger engagements rather than a high volume of smaller ones.

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• How does Five Blocks approach link building as part of reputation management?

  Five Blocks treats link building as authority work, not volume work. The goal is earned placements in outlets that search and AI engines weight by credibility: trade press, mainstream business and financial media, and research publications. Each placement does more when it connects to authoritative entity infrastructure. Bulk campaigns, link exchanges, and low-quality directory submissions are not part of the methodology.

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• Can Five Blocks edit my Wikipedia page?

  Yes. Five Blocks improves Wikipedia pages through disclosed conflict-of-interest (COI) editing, never direct edits. We set up an account that publicly states who it represents, research well-sourced changes, and propose them on the article's Talk page, where independent community editors decide whether to implement them.

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• Can Five Blocks change what AI says about a brand?

  Yes. Five Blocks improves the sources AI models rely on, both their training data and what they retrieve in real time through RAG, which changes how brands are represented over time.

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• What is Five Blocks’ approach to proactive vs reactive reputation management?

  Proactive reputation work, building a Wikipedia article, an optimized Knowledge Panel, authoritative owned content, and consistent entity signals before they are needed, almost always delivers stronger and faster results than reactive crisis response. Reactive work is possible, but it starts at a disadvantage: it costs more, takes longer to show results, and has to compete against negative content that may already be entrenched in search and AI answers.

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