When AI compares options,does your organisation make the choice?
See how your organisation is represented today, which alternatives are recommended, and what the evidence says deserves attention first.
460 observations. 0 recommendations.Present in the market. Absent from the decision.
Unaided recommendation scenario · 04–07 August 2026
A real production observation across four AI environments. Other solutions were recommended in the same tests. The organisation analysed was not.
Observed result under documented test conditions.
See the full case →Appearing is not being understood. Being understood is not being considered. Being considered is not being chosen.
AI reconstructs your organisation from the information and signals available to it, and that reconstruction can be incomplete, outdated or indistinguishable from a competitor's. When it is, you can lose consideration before a potential customer reaches your website, your team or a proposal request.
Vorentus measures the gap between verified reality and machine understanding.
We verify what can be supported as true, observe how AI systems reconstruct the organisation, test whether it enters consideration, and measure what happens when a system must recommend or choose. The VRI Vorentus Recognition Index gives management a 0–100 view of how AI systems understand, consider and choose your organisation. Decision behaviour carries the greatest weight.
- C-01
Category and positioning
RecognisedConsistent across environments
- C-02
Differentiating attribute
PartialVaries by environment
- C-03
Certified capability
InconsistentVaries by environment
- C-04
Independent recognition
AbsentNot reconstructed
- Verified reality
- Recognised correctly
- Partial or inconsistent
- Absent or contradicted
Not every AI observation is equivalent.
A recommendation from ChatGPT without live retrieval and one from Perplexity with live search are different decisions. Vorentus observes them differently, preserves the difference, and reports them separately.
- Model observation
- ChatGPT · Claude · Gemini · Grok · Mistral · DeepSeek
- Grounded search
- Perplexity · Grok Web Search · Google AI Mode · Google AI Overview
- Consumer surfaces
- Meta AI / WhatsApp · Microsoft Copilot
Consumer surfaces are recorded through Controlled Manual Capture, not an automatic integration, and are reported separately from programmatically observed environments.
- ChatGPT
- Claude
- Gemini
- Perplexity
- Grok
- Microsoft Copilot
- Mistral
- DeepSeek
- Google AI Mode
- Google AI Overview
- Meta AI / WhatsApp
All product names, logos and brands are property of their respective owners and are shown for identification purposes only. Vorentus is independent and not affiliated with, endorsed by or sponsored by any of these providers.
The VRI tells you where you stand. The Machine Perception Ledger shows the evidence behind it.
How AI environments are observed →Recognition Baseline
A single diagnostic of how AI systems understand, compare and recommend your organisation today.
- 01Your VRI Vorentus Recognition Index, a 0–100 measure of machine understanding, consideration and decision
- 02Assessment across the AI environments you select
- 03Which alternatives enter the decision, and where your organisation does not
- 04The evidence behind every material finding
- 05Evidence-backed priority actions in an executive report
Price subject to VAT, where applicable.
Measure once to know where you stand. Monitor to know what is changing.
Recognition Monitor tracks understanding, consideration and decision behaviour over time, with every material change traceable to the observation behind it.
Machine Perception Ledger →Vorentus Counsel
Vorentus Counsel turns measured evidence into the next defensible action. It explains what matters, why it matters and what should be tested next, while keeping every recommendation traceable to the observations behind it.
- 01Evidence
- 02Decision
- 03Action
- 04Retest
- 05Proof
Every number in your report links to the observation that produced it.
Traceability is not an appendix to the method. It is part of the product.
- Measurement scope and conditions documented before execution
- Controlled repetitions preserved as distinct observations
- Technical failures separated from semantic outcomes
- Material report findings traceable to underlying evidence and review
Common questions
If AI-mediated answers influence discovery, shortlists or recommendations, being misunderstood or absent can remove an organisation from consideration before a human conversation begins. The Recognition Baseline shows where this happens, which alternatives enter the decision, and what deserves intervention first.
For leadership, that turns an invisible commercial and strategic risk into something measurable. For Marketing and Brand, it shows whether positioning and differentiation survive machine interpretation. For Commercial and Sales, it identifies scenarios where the organisation does not reach a relevant shortlist or recommendation. For Compliance, it compares what AI systems claim with what the organisation can actually prove.
Vorentus does not invent a monetary value for lost sales. It gives the organisation evidence to decide where to act first, rather than investing without knowing where machine-mediated consideration is being lost.
Know how AI sees you before it influences who gets chosen.
Book a diagnostic conversation. We define the decision scenarios that matter, the markets and AI environments to test, and whether a Recognition Baseline is the right next step.