Tripicon
How AI representation works
Organisations cannot control every AI answer. They can govern the information, authority and permissions that shape those answers. Tripicon helps organisations understand, govern and improve those foundations.
- ChatGPT
- Microsoft Copilot
- Google Gemini
- Perplexity
Section 01
What shapes AI representation?
AI representations vary by user, location, model and context. The same question may produce different answers.
The goal is not to govern every answer. The goal is to govern what shapes them.
Section 02
The representation framework
Three questions sit behind every AI answer about your organisation — and one practice improves all three.
What AI knows
The information layer
The sources AI systems draw on when describing your organisation, and how current and complete they are.
What AI says
The representation layer
How your organisation, services and policies are actually described across AI ecosystems.
What AI does
The interaction layer
How AI systems recommend, reference and act on your information on behalf of customers and staff.
Governance is the practice that improves all three.
Section 03
The information layer
The information that shapes AI answers already exists inside your organisation.
- Website
- CMS
- Policies
- Listings
- Knowledge bases
- Booking systems
- SharePoint
- Partner data
Tripicon does not replace these systems. It governs them — establishing which are authoritative, who owns them, and how they are verified over time.
Section 04
The governance layer
Five questions decide whether an answer can be trusted.
What sources should be trusted?
Which sources carry weight for each kind of question, and which should.
Where did information come from?
Every answer traceable to a source, with the trail intact.
Who is responsible?
A named owner for each source of truth, rather than shared assumption.
Is information current?
When each source was last verified, and how quickly it goes stale.
Who reviews and approves changes?
The review cycle that keeps representation accurate as facts change.
Section 05
The representation layer
Representation is measured across the AI systems people actually use.
- ChatGPT
- Copilot
- Gemini
- Claude
- Perplexity
- Industry agents
- Accuracy. Whether what AI says about your organisation is correct.
- Coverage. Whether AI knows enough to answer the questions people ask.
- Provenance. Whether answers can be traced to sources you recognise.
- Freshness. Whether the information behind answers reflects today.
- Consistency. Whether the picture holds across models, locations and contexts.
Section 06
Organisations cannot govern every answer. They can govern what shapes them.
- Information. What is published, structured and maintained.
- Authority. Which sources carry weight.
- Ownership. Who is responsible for each source.
- Permissions. How AI systems may access and act on information.
- Provenance. Where an answer came from, and when it was verified.
- Accountability. Who reviews representation, and how often.
Those foundations influence how organisations are represented across AI ecosystems.
Section 07
The outcomes layer
Search influenced what people found. AI increasingly influences what people believe, what they choose and what they experience. Representation sits between information and decision-making — which is what makes it governable, and what makes governing it worth doing.
- InformationWhat is published, structured and maintained.
- GovernanceAuthority, ownership, permissions and provenance.
- RepresentationHow AI describes, compares and recommends you.
- InteractionThe answers, recommendations and actions travellers receive.
- OutcomesBookings, spend, trust and reputation.
Section 08
How organisations engage
Assessment
Where most organisations start
Understand current representation, the sources shaping it and where governance gaps exist.
Advisory
Turning findings into action
Develop governance approaches, priorities and implementation plans.
Workshops
Shared understanding
Build organisational capability across leadership, marketing, digital and operations teams.
Platform
Ongoing measurement
Monitor and improve representation over time, cycle after cycle.
Discover how AI represents your organisation
Request an external AI representation review. From $4,880 AUD (inc GST).