Brands get bought when they are trusted - by people just as much as by the machines that now make the recommendations. Trust Architecture builds both in parallel: Brand Awareness, Online Reputation, entity signals, Knowledge Panel, LLM Citation Monitoring and a consistent schema graph across the entire domain.
Trust used to be PR and reviews. Today it is citation rate in ChatGPT, Knowledge Panel accuracy, Wikidata connection, author E-E-A-T, schema graph consistency and a documentable sentiment across review platforms, news and LLMs. This pillar turns brands into entities that machines understand - and turns reviews into a signal that pays into conversion.
Category authority, Digital PR and thought leadership. Top-of-funnel as a trust investment.
Review velocity, sentiment, E-E-A-T architecture. Reputation as a conversion prerequisite, not a PR slush fund.
The brand as an entity in the Knowledge Graph. Wikidata, sameAs axes, disambiguation, Knowledge Panel preparation.
8-step framework to the Knowledge Panel - including claim, correction and continuous maintenance.
Brand visibility in ChatGPT, Perplexity, Claude, Gemini, Copilot and AI Overviews. Retainer, 6 models.
A JSON-LD @id graph across the entire domain. Machine-readable consistency of Person, Organization, Service and Product.
How often the brand is cited as a source in LLM answers and AI Overviews. Per model, per market, per question.
Shift in LLM sentiment over time, weighted by source authority. Spot reputation crises early.
Wikidata, Wikipedia and Knowledge Panel presence for brand, people and products. A defensible position in the Knowledge Graph.
Trust is the condition under which visibility turns into conversion. Without the demand pillar, trust has no audience. Without the conversion pillar, it never lands in the P&L. Without the scale pillar, it stays a manual craft.
Trust without visibility is quiet. Only SEO/GEO bring the trust signals into view.
Trust is the conversion prerequisite. Reviews, E-E-A-T and author signals make conversion possible.
Maintaining trust needs systems: monitoring, escalation paths, review workflows, AI classification.
A 60-minute diagnostic conversation on entity, reputation and Knowledge Graph.