Strategy & Tactics

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

• What is a search result heat map and how does it inform strategy?

  A search result heat map plots every priority keyword against every geography and colors each cell by SERP composition: green where owned and friendly content dominates, red where negative content concentrates, yellow where it is mixed. A week-over-week layer shows the account team where to direct the next month's effort.

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• How do you handle negative autocomplete suggestions in Google?

  There are three ways to handle a negative autocomplete suggestion. Report it if it violates Google's published autocomplete policies. If the completion reflects an inaccurate or outdated frame, shift query patterns over time with authoritative content. If it reflects a real, current concern, fix the underlying issue. Autocomplete follows the broader narrative rather than driving it.

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• What are owned digital properties and why do they matter for reputation?

  Owned digital properties (the corporate website, microsites, executive profile pages, investor relations hub, and press center) are the only assets a brand fully controls. That control lets you engineer each property for Google ranking and AI extraction, and it makes them the canonical reference that the entity layer (schema, sameAs links, Wikidata) points to.

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• How do you handle results from mugshot websites or arrest records?

  Mugshot and arrest-record sites are addressed at four layers: platform-specific takedown through each aggregator's published removal process, legal escalation under state mugshot statutes where they apply, source-level remediation once the underlying record is sealed, expunged, or pardoned, and authoritative content that displaces the aggregator results below page one over time. No single layer resolves it; the combination, sustained, produces durable improvement.

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• How do you manage search results for a company with multiple business units?

  Multi-business-unit reputation work segments the SERP by audience and unit, manages each unit's entity signals separately with the right schema, and coordinates a corporate-level identity that supports the units without overshadowing them or being overshadowed - because the engines treat each unit as its own entity.

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