How does Five Blocks tailor its approach to different industries?

Reputation works differently enough across industries that the methodology has to adapt even when the underlying platforms stay the same. The core framework, Track / Analyze / Impact, does not change. What changes are the source priorities and workstream weights that match how reputation actually behaves in each industry.

Financial services (hedge funds, private equity, asset managers)

Priority is entity precision, because misattributed fund-family data causes real problems with allocators. Work emphasizes peer benchmarking against named competitors, since every LP runs peer screens, and source quality: Bloomberg, Reuters, and regulatory filings carry more weight than industry blogs. The SERP diagnostic maps how the firm appears relative to comparable peers before any intervention is planned.

Consumer brands

Priority is narrative and review ecosystems. AI engines lean heavily on review-platform content for consumer queries: Google reviews, Glassdoor, Trustpilot, and Reddit threads all feed into how AI answer engines describe a brand. Work focuses on the sources shaping those AI outputs rather than the outputs themselves.

Regulated industries (healthcare, financial services, defense, regulated tech)

Priority is accuracy and compliance. AI errors in regulated domains can cause downstream harm: a wrong clinical claim or a misquoted regulatory position goes beyond reputation. The workstream weights accuracy verification and authoritative sourcing above narrative shaping.

Law firms and professional services

Priority is partner-level entity work and practice-area positioning. Firm-level reputation is only part of what prospective clients evaluate; individual partner profiles and specific practice-area rankings carry comparable weight. Entity work on Wikidata and structured data is the foundation here.