Wire brand, product, audience, and scenario semantics together
Assistants don’t rank keywords—they reason about entities and relationships. We give them a governed graph so answers respect your positioning.
Assistants optimise for entities, not strings
Traditional SEO optimised for lexical overlap; generative search blends retrieval, synthesis, and policy guardrails around entities (‘who solves this exact problem?’). Loose definitions mean you vanish—or get mashed into a bland category.
Canonical brand entities
Define who you are (brand, flagship products, founders, hubs) so models stop improvising synonyms or omitting subsidiaries.
Semantic mesh
Connect services, personas, objections, integrations, industries, regions—everything an assistant expects in a diligent answer.
Scenario fit
Explicitly relate offers to workflows, urgencies, and buying stages so citations match the framing of live prompts.
Competitive deltas
Publish durable comparison language that models can quote without flattening you into a generic category label.
What semantic alignment delivers
Think of alignment as tightening every edge in the triangle between brand nouns (entities), shopper verbs (intents), and proof objects (signals).
Entity inventory
Extract every named object that should exist in the public record of your business—legal names, products, locations, programmes—then normalise spelling and hierarchy.
Relationship graph
Encode verbs between entities (powers, integrates with, serves, priced for, certified by) plus cardinality so answers stay nuanced.
Scenario trails
Map question archetypes (‘best for SOC2 teams needing X’) to sanctioned answer trails that reference structured proof.
Consistency audit
Diff every surface—from PDFs to release notes—for conflicting claims and patch the governance rules that stop regressions.
How entities and journeys connect
Buyers seldom ask neatly packaged questions—we model multi-hop paths from awareness → validation → procurement, each with sanctioned language.
Build pass
- Entity dossiers with attributes
- Service ⇄ persona ⇄ KPI relationships
- Topic stacks & annotated references
- Scenario, FAQ, competitor pages planned
Stewardship pass
- Live-site terminology diff
- Contradiction & risk report
- Editorial glossary + escalation rules
- Competitive semantic deltas
Example vertical needs
Teams with complex proof, nuanced SKUs, or regulated language benefit first—those are precisely the assistants that hallucinate if data is skinny.
Professional services
Practices that must articulate mandates, exclusions, timelines, jurisdictions, retainer constructs, or partner bios without sounding generic.
SaaS & infrastructure
SKU sprawl plus continuous releases require tight alignment between changelog language, onboarding docs, and enterprise proof.
Hospitality & care
Highly regulated wording around procedures, allergens, licences, memberships, and bedside manner—cannot afford fuzzy entities.
Education pathways
Courses, prerequisites, campuses, accreditation, calendars—students ask assistants complicated combo questions.
Any AI-first funnel
If inbound already spills into Chat-class research, alignment is cheaper insurance than blindly scaling ads.
Behaviour-informed semantics
Signals from CRM, GA4 (where permitted), and qual research help tag which scenarios matter financially—prioritisation beats blanket rewrites.
Browse semantics
- Session depth & topic clusters
- Intent inference from paths
- Declared vs inferred affinities
Purchase semantics
- Conversion objects tied to segments
- Category & lifecycle tags
- Retention hooks
Search semantics
- Prompt families vs content coverage
- Comparison & evaluation stages
- FAQ ↔ product mapping
Layers of the knowledge graph
Together these layers constrain assistants the same way a great enablement wiki constrains sellers—fewer improvised claims, faster approvals.
Keyword layer
- Branded vs generic demand
- Competitor lexicon
- Intent alignment
Entity layer
- IDs, aliases, attributes
- SameAs & proofs
- Governed naming
Scenario layer
- Playbooks & edge cases
- Risk/compliance phrasing
- Proof hooks
Intent layer
- DIY vs done-for-you
- Explorer vs buyer
- Content gaps
Operational hand-offs
Insights are worthless if CRM, CMS, and agent sandboxes diverge—we document wiring patterns your teams can support.
Enterprise data connectors
- Sync approved strings from CMS/CRM
- Entity tagging pipelines
- Exports for agent tooling
AI workspace agents
- Apply alignment outputs to copilots
- Monitor drift monthly
- Trigger content refresh tickets
Speak with the team
Tell us where messaging drifts across regions, teams, or languages—we’ll blueprint the alignment sprint.