How does Five Blocks tailor its approach to different industries?

Reputation dynamics differ enough across industries that the methodology must adapt even when the underlying platforms stay constant. The core framework, Track / Analyze / Impact, is invariant; what shifts are the source priorities and workstream weights that match each industry’s actual reputation physics.

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

Priority is entity precision, misattributed fund-family data causes real problems with allocators. Work emphasizes peer benchmarking against named competitors (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 weight review-platform content heavily for consumer queries: Google reviews, Glassdoor, Trustpilot, Reddit threads all feed into how AI answer engines characterize a brand. Work focuses on the sources actually shaping those AI outputs rather than the AI outputs themselves.

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

Priority is accuracy and compliance. AI errors in regulated domains can produce downstream harm, a wrong clinical claim or a misquoted regulatory position is not merely reputational. 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 foundational here.