Industry operating models

Same engine.
Different evidence.

Humenta uses one governed AEO operating system, then adapts the prompt set, source hierarchy, approval path and commercial questions to each market. B2B SaaS, ecommerce, enterprise and regulated teams should not share a generic content queue because their buyers, proof standards, technical surfaces and risk boundaries differ.

B2B SaaS

Own category and comparison questions

Map role-specific problems, integration constraints, alternatives, security questions and commercial proof. Keep product facts synchronized across documentation, pricing, comparison and support sources.

  • Category and use-case prompt panels
  • Documentation and integration source gaps
  • Comparison pages with dated evidence
  • Security and procurement answer readiness
Ecommerce

Make product truth easy to cite

Strengthen product entities, buying guidance, merchant policies, editorial authority and structured content while separating feed data, customer claims and observed answer behavior.

  • Product and collection entity hygiene
  • Buying guides and comparison intent
  • Merchant policy consistency
  • Editorial and creator authority with disclosure
Enterprise

Coordinate markets and approvals

Build locale-specific truth packs, reviewer roles, evidence retention and rollback into the workflow. A central method should preserve local sources and regulated-content boundaries.

  • Multi-market prompt governance
  • Local source and reviewer ownership
  • Security and procurement workflow
  • Executive reporting with evidence classes
Regulated teams

Constrain before scaling

Define prohibited claims, licensed-review requirements, escalation routes and source expiry before content production. Humenta scopes regulated work separately and does not replace legal, medical or financial review.

  • Claim and source controls
  • Named qualified reviewers
  • Jurisdiction-specific restrictions
  • No autonomous publication by default

The smallest plan
that clears the constraint.

A plan recommendation starts with the number of sites, markets, approval layers, source gaps and commercially important questions. Content volume is an output of that model, not the diagnosis.

  • One source of truth per material claim
  • Prompts tied to real buyer decisions
  • Technical and content queues managed together
  • Authority work subject to editorial acceptance
  • Separate evidence for each observed surface