Services & Methodology

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

• How does Five Blocks handle entity optimization?

  Five Blocks builds the structured signals that make a client legible to Google and AI engines at the same time: complete Wikidata records, schema markup, consistent NAP data, authoritative third-party citations, and explicit disambiguation signals across owned and third-party sources. Because the Google Knowledge Graph and every major AI engine read the same underlying entity infrastructure, optimizing these layers once pays off across all platforms.

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• How can Five Blocks help prepare for a future crisis?

  By building crisis-resistant infrastructure before the crisis hits: a current, well-sourced Wikipedia article and Knowledge Panel/Wikidata entity, a robust set of owned properties, continuous monitoring through IMPACT and AIQ, and a documented playbook with named decision-makers. The differentiator is that the infrastructure is in place before the call comes in.

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• How quickly can Five Blocks respond to a crisis?

  Within one business day. Five Blocks can typically get a senior advisor on a call within hours of an inbound, an initial IMPACT and AIQ diagnostic running on day one, and a tactical plan with named workstreams by the end of day one or two.

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• How does Five Blocks handle international reputation management?

  Five Blocks handles international reputation through three layers: IMPACT™ tracks Google results across 500 cities, 69 countries, and 23 languages; its Wikipedia practice works across major language editions, each with its own editorial community and notability standards; and AIQ™ monitors AI engine responses that vary by language and user location.

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• How does Five Blocks handle executive reputation programs?

  A full Five Blocks executive reputation program runs five parallel workstreams: building the entity layer (Wikidata, schema markup, sameAs links), managing Wikipedia through disclosed COI, developing owned properties such as the bio page and bylined content, monitoring AI narratives via AIQ™, and tracking Google SERPs for the executive's name. Each layer supports the others, so the engines read the executive as one coherent, well-defined entity.

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